{"title":"ELK Biotechnology Proteins","description":"","products":[{"product_id":"anti-2019-ncov-s-igm-neutralizing-antibody-8a5-bhp15200006","title":"Anti-2019-nCoV S-IgM Neutralizing Antibody (8A5)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S-IgM Neutralizing Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006011245,"sku":"EPT006-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_a97bd887-4112-45d0-9278-3d4296620aa7.jpg?v=1770440662"},{"product_id":"anti-2019-ncov-s-iga-neutralizing-antibody-8a5-bhp15200018","title":"Anti-2019-nCoV S-IgA Neutralizing Antibody (8A5)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S-IgA Neutralizing Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006437229,"sku":"EPT018-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_f599c566-f88a-4963-a790-99e3df38601a.jpg?v=1770440665"},{"product_id":"recombinant-2019-ncov-s1-protein-bhp15200025","title":"Recombinant 2019-nCoV S1 Protein","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: S1 protein, 2019-nCoV S1 protein, coronavirus S1 Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln14-Arg685\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006699373,"sku":"EPT025-50UG","price":661.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_96ea9eb2-31a8-4fa8-b2b6-f68632e4d5b3.jpg?v=1770440667"},{"product_id":"recombinant-2019-ncov-s-protein-rbd-sd1-c-6his-bhp15200030","title":"Recombinant 2019-nCoV S Protein RBD-SD1 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S Protein RBD-SD1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCov RBD Protein, 2019-nCoV Spike RBD Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eArg319-Ser591\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012007715181,"sku":"EPT030-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_5291ecb5-951a-4b44-80fa-a4f373efc572.jpg?v=1770440669"},{"product_id":"anti-2019-ncov-s-higg1-neutralizing-antibody-8a5-bhp15200031","title":"Anti-2019-nCoV S-hIgG1 Neutralizing Antibody (8A5)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S-hIgG1 Neutralizing Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012008567149,"sku":"EPT031-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_4a03b67d-d091-472f-b9ed-d06e9ae68522.jpg?v=1770440670"},{"product_id":"recombinant-2019-ncov-s-trimer-protein-c-6his-bhp15200040","title":"Recombinant 2019-nCoV S-trimer Protein (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS trimer\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S trimer\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S-trimer\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCov S protein, 2019-nCoV Spike glycoprotein, 2019-nCoV S glycoprotein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eCys15-Gln1208\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS trimer\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S trimer is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS trimer\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS trimer\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS trimer\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012009910637,"sku":"EPT040-50UG","price":752.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_96f76983-8ae4-4e87-b599-8bc334eee230.jpg?v=1770440673"},{"product_id":"recombinant-2019-ncov-np-ntd-domain-bhp15200041","title":"Recombinant 2019-nCoV NP NTD domain","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (NTD)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: N (NTD)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV NP NTD domain\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCoV coronavirus NP Protein, 2019-nCoV np Protein, 2019-nCoV novel coronavirus Nucleoprotein Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43423.2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (NTD)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, N (NTD) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eN (NTD)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eN (NTD)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eN (NTD)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012009943405,"sku":"EPT041-1MG","price":1207.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_be80351d-1a0e-4d8c-99bf-8f41117fe279.jpg?v=1770440672"},{"product_id":"recombinant-2019-ncov-np-ctd-domain-bhp15200042","title":"Recombinant 2019-nCoV NP CTD domain","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (CTD)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: N (CTD)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV NP CTD domain\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCoV coronavirus NP Protein, 2019-nCoV np Protein, 2019-nCoV novel coronavirus Nucleoprotein Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43423.2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (CTD)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, N (CTD) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eN (CTD)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eN (CTD)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eN (CTD)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012009976173,"sku":"EPT042-1MG","price":1207.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_5e9aae18-d976-4cee-ba3e-845b42bc1701.jpg?v=1770440673"},{"product_id":"recombinant-2019-ncov-s1-protein-c-6his-bhp15200049","title":"Recombinant 2019-nCoV S1 Protein (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: S1 protein, 2019-nCoV S1 protein, coronavirus S1 Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eVal16-Arg685\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012011123053,"sku":"EPT049-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_83b8f012-9546-437e-870b-1ed7b5b0dd29.jpg?v=1770440674"},{"product_id":"biotinylated-2019-ncov-s-protein-rbd-sd1-c-avi-6his-bhp15200061","title":"Biotinylated 2019-nCoV S Protein RBD-SD1 (C-Avi-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Biotinylated 2019-nCoV S Protein RBD-SD1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCov RBD Protein, 2019-nCoV Spike RBD Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eArg319-Ser591\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"20 ug","offer_id":53012014236013,"sku":"EPT061-20UG","price":700.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_c73dfd91-19f5-4922-954f-161f61940827.jpg?v=1770440678"},{"product_id":"recombinant-2019-ncov-nucleocapsid-protein-v2-bhp15200069","title":"Recombinant 2019-nCoV Nucleocapsid Protein V2","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (Nucleocapsid)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: N (Nucleocapsid)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV Nucleocapsid Protein V2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCoV coronavirus NP Protein, 2019-nCoV np Protein, 2019-nCoV novel coronavirus Nucleoprotein Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43423.2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eMet1-Ala419\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (Nucleocapsid)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, N (Nucleocapsid) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eN (Nucleocapsid)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eN (Nucleocapsid)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eN (Nucleocapsid)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012016103789,"sku":"EPT069-1MG","price":1207.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_90fc0a3d-1171-476c-a0c6-98e3ad8d1c02.jpg?v=1770440680"},{"product_id":"anti-2019-ncov-s-migg1-neutralizing-antibody-8a5-bhp15200084","title":"Anti-2019-nCoV S-mIgG1 Neutralizing Antibody (8A5)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S-mIgG1 Neutralizing Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012019446125,"sku":"EPT084-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_6379356a-9ecc-486a-875b-064b67563e60.jpg?v=1770440684"},{"product_id":"anti-2019-ncov-s-cigg1-neutralizing-antibody-8a5-bhp15200085","title":"Anti-2019-nCoV S-cIgG1 Neutralizing Antibody (8A5)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S-cIgG1 Neutralizing Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012019675501,"sku":"EPT085-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_a74404a9-eb0c-4cef-b8fe-a0c6967acc1d.jpg?v=1770440685"},{"product_id":"recombinant-2019-ncov-s-protein-rbd-c-mfc-bhp15200092","title":"Recombinant 2019-nCoV S protein RBD(C-mFc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S protein RBD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: S protein RBD, 2019-nCoV S protein RBD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsn331-Val524\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012020920685,"sku":"EPT092-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_234716b4-fecf-44b4-af10-3531176bcf0e.jpg?v=1770440687"},{"product_id":"recombinant-2019-ncov-s1-protein-c-fc-bhp15200159","title":"Recombinant 2019-nCoV S1 Protein (C-Fc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: S1 protein, 2019-nCoV S1 protein, coronavirus S1 Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln14-Arg685\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"500 ug","offer_id":53012029374829,"sku":"EPT159-500UG","price":3846.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_d0ee83d1-a406-4eed-9f91-e48a45500a5d.jpg?v=1770440711"},{"product_id":"recombinant-2019-ncov-s-protein-ntd-c-6his-bhp15200165","title":"Recombinant 2019-nCoV S Protein NTD (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S Protein NTD\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln14-Asp290\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012029571437,"sku":"EPT165-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_9ef1a0a5-ee7b-4fbe-99ec-c92435d08de7.jpg?v=1770440714"},{"product_id":"recombinant-2019-ncov-s2-protein-c-fc-bhp15200188","title":"Recombinant 2019-nCoV S2 Protein (C-Fc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV S2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: S2 protein, Spike glycoprotein Subunit2, S glycoprotein Subunit2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43416.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eSer686-Gln1208\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012030423405,"sku":"EPT188-1MG","price":5770.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_acff9f20-a8e9-4e32-9677-2834dd0e542f.jpg?v=1770440721"},{"product_id":"recombinant-2019-ncov-np-ntd-domain-v2-bhp15200233","title":"Recombinant 2019-nCoV NP NTD domain V2","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (NTD)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: N (NTD)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV NP NTD domain V2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCoV coronavirus NP Protein, 2019-nCoV np Protein, 2019-nCoV novel coronavirus Nucleoprotein Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43423.2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGly44-Ser180\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN (NTD)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, N (NTD) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eN (NTD)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eN (NTD)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eN (NTD)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012031930733,"sku":"EPT233-1MG","price":1207.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_8dcfd2e7-996c-44fb-8019-5c25cf763c6d.jpg?v=1770440735"},{"product_id":"anti-2019-ncov-s-antibody-5e8-bhp15200245","title":"Anti-2019-nCoV S Antibody (5E8)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: S (Spike)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Anti-2019-nCoV S Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eS (Spike)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, S (Spike) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eS (Spike)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eS (Spike)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eS (Spike)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012032323949,"sku":"EPT245-50UG","price":518.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_58803dc7-8e86-4db5-9244-ed9c5f836f96.jpg?v=1770440738"},{"product_id":"2019-ncov-np-antibody-6g9-bhp15200257","title":"2019-nCoV NP Antibody (6G9)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNP (6G9)\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NP (6G9)\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV NP Antibody\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNP (6G9)\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, NP (6G9) is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNP (6G9)\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNP (6G9)\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNP (6G9)\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"1 mg","offer_id":53012032782701,"sku":"EPT257-1MG","price":1805.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_71eaeb02-2967-4334-b19f-32a097a847ed.jpg?v=1770440742"},{"product_id":"recombinant-2019-ncov-nucleocapsid-protein-bhp15200266","title":"Recombinant 2019-nCoV Nucleocapsid Protein","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNP\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NP\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV Nucleocapsid\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 2019-nCoV coronavirus NP Protein, 2019-nCoV np Protein, 2019-nCoV novel coronavirus Nucleoprotein Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: QHD43423.2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eMet1-Ala419\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNP\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, NP is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNP\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNP\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNP\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"500 ug","offer_id":53012033077613,"sku":"EPT266-500UG","price":791.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_ca64f5b8-ce34-4bc3-bcd7-3bbe078c34c4.jpg?v=1770440745"},{"product_id":"recombinant-human-igfbp-5-c-6his-bhp15200001","title":"Recombinant Human IGFBP-5 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIGFBP-5\u003c\/strong\u003e is a target studied in endocrinology \u0026amp; hormones research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IGFBP-5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Insulin-Like Growth Factor-Binding Protein 5, IBP-5, IGF-Binding Protein 5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P24593\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eLeu21-Glu272\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIGFBP-5\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eEndocrinology \u0026amp; Hormones\u003c\/strong\u003e research, IGFBP-5 is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIGFBP-5\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIGFBP-5\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in endocrinology \u0026amp; hormones studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIGFBP-5\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012005847405,"sku":"EPT001-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_bb479ada-8fa2-4522-ac91-9fb1e19466fe.jpg?v=1770440661"},{"product_id":"recombinant-2019-ncov-nsp10-n-6his-bhp15200002","title":"Recombinant 2019-nCoV NSP10 (N-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNSP10\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NSP10\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV NSP10\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: SARS-CoV 2 nsp10, SARS-CoV 2 Growth factor-like peptide, SARS-CoV 2 GFL\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: YP_009725306.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla1-Gln139\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNSP10\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, NSP10 is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNSP10\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNSP10\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNSP10\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012005880173,"sku":"EPT002-50UG","price":1090.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b.jpg?v=1770440661"},{"product_id":"recombinant-2019-ncov-guanine-n7-meth-n-6his-bhp15200003","title":"Recombinant 2019-nCoV Guanine-N7_meth (N-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN7-Mtase\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: N7-Mtase\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: 2019-nCoV Guanine-N7_meth\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: SARS-CoV 2 nsp14, SARS-CoV 2 ExoN, Guanine-N7 methyltransferase\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: YP_009725309.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: SARS-CoV-2 (2019-nCoV)\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla1-Gln527\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eN7-Mtase\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, N7-Mtase is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eN7-Mtase\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eN7-Mtase\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eN7-Mtase\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012005912941,"sku":"EPT003-50UG","price":1090.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_56c55f84-f13d-4f85-823e-7770687c3670.jpg?v=1770440662"},{"product_id":"recombinant-human-egf-bhp15200004","title":"Recombinant Human EGF","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEGF\u003c\/strong\u003e is a target studied in cell signaling research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: EGF\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Pro-Epidermal Growth Factor, EGF, Epidermal Growth Factor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P01133\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsn971-Arg1023\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEGF\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eCell Signaling\u003c\/strong\u003e research, EGF is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eEGF\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eEGF\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in cell signaling studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eEGF\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012005945709,"sku":"EPT004-10UG","price":50.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_b82dbaf5-02a1-46ac-94a5-f1e6effc44bb.jpg?v=1770440662"},{"product_id":"recombinant-human-tgf-beta-1-bhp15200005","title":"Recombinant Human TGF-beta 1","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTGF-β1\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: TGF-β1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: TGF-beta 1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Transforming Growth Factor Beta-1, TGF-Beta-1, Latency-Associated Peptide\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P01137\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla279-Ser390\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTGF-β1\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, TGF-β1 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eTGF-β1\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eTGF-β1\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eTGF-β1\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012005978477,"sku":"EPT005-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_6bc5c38c-dfdd-466c-a314-996d978b9d10.jpg?v=1770440662"},{"product_id":"recombinant-human-fgfb-k128n-bhp15200007","title":"Recombinant Human FGFb(K128N)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eFGFb\u003c\/strong\u003e is a target studied in cell signaling research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: FGFb\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Fibroblast growth factor 2, FGF-2, Basic fibroblast growth factor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: BAG70135.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eMet1-Ser155\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eFGFb\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eCell Signaling\u003c\/strong\u003e research, FGFb is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eFGFb\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eFGFb\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in cell signaling studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eFGFb\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006044013,"sku":"EPT007-10UG","price":180.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_a250374b-6753-4e7e-af73-bf3aacbf461e.jpg?v=1770440664"},{"product_id":"recombinant-k-pneumoniae-neo-bhp15200008","title":"Recombinant K. pneumoniae NEO","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNEO\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NEO\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: K. pneumoniae NEO\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Aminoglycoside 3'-phosphotransferase, APH(3')-II, APH(3')II\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P00552\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Klebsiella pneumoniae\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eMet1-Phe264\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNEO\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, NEO is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNEO\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNEO\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNEO\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006076781,"sku":"EPT008-50UG","price":765.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_6bfb1739-0788-48b8-91db-beb7f5ab70a6.jpg?v=1770440664"},{"product_id":"recombinant-human-cd26-c-6his-bhp15200009","title":"Recombinant Human CD26 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCD26\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: CD26\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Dipeptidyl peptidase 4, ADABP, Adenosine deaminase complexing protein 2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P27487\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsn29-Pro766\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCD26\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, CD26 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eCD26\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eCD26\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eCD26\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006109549,"sku":"EPT009-10UG","price":310.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_0af2ca75-8153-49fe-82f6-f535b47bee7b.jpg?v=1770440664"},{"product_id":"recombinant-human-mmp-2-c-6his-bhp15200010","title":"Recombinant Human MMP-2 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMMP-2\u003c\/strong\u003e is a target studied in ecm \u0026amp; cell adhesion research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: MMP-2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 72 kDa Type IV Collagenase, 72 kDa Gelatinase, Gelatinase A\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P08253\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla30-Cys660\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMMP-2\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eECM \u0026amp; Cell Adhesion\u003c\/strong\u003e research, MMP-2 is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eMMP-2\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eMMP-2\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in ecm \u0026amp; cell adhesion studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eMMP-2\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006142317,"sku":"EPT010-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_6dc854e5-975b-48d6-bac0-811d23aca970.jpg?v=1770440663"},{"product_id":"recombinant-human-il-2-bhp15200011","title":"Recombinant Human IL-2","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-2\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IL-2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Interleukin-2, IL-2, T-Cell Growth Factor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P60568\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla21-Thr153\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-2\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, IL-2 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIL-2\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIL-2\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIL-2\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006175085,"sku":"EPT011-10UG","price":128.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_5e11d122-efd1-44a8-ad32-10b3b9a34c84.jpg?v=1770440664"},{"product_id":"recombinant-human-il-15-bhp15200012","title":"Recombinant Human IL-15","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-15\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IL-15\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Interleukin-15, IL-15, IL15\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P40933\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsn49-Ser162\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-15\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, IL-15 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIL-15\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIL-15\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIL-15\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006207853,"sku":"EPT012-50UG","price":1064.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_c903ec7b-176c-4029-a633-276e86247c91.jpg?v=1770440664"},{"product_id":"recombinant-human-il-7-bhp15200013","title":"Recombinant Human IL-7","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-7\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IL-7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Interleukin-7, IL-7, IL7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P13232\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsp26-His177\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-7\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, IL-7 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIL-7\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIL-7\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIL-7\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006240621,"sku":"EPT013-50UG","price":1064.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_4ccca96b-3669-4ff7-99d1-0a953fb0ae7b.jpg?v=1770440664"},{"product_id":"recombinant-human-sema4b-c-6his-bhp15200014","title":"Recombinant Human SEMA4B (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSEMA4B\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: SEMA4B\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Semaphorin-4B, KIAA1745, SEMAC and SEMA4B\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9NPR2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eLeu39-Glu712\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSEMA4B\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, SEMA4B is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eSEMA4B\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eSEMA4B\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eSEMA4B\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006273389,"sku":"EPT014-50UG","price":1064.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_1b0b5002-72f9-4c19-bfda-fe073d3918f1.jpg?v=1770440665"},{"product_id":"recombinant-human-ox40l-c-mfc-bhp15200015","title":"Recombinant Human OX40L (C-mFc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eOX40L\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: OX40L\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Tumor necrosis factor ligand superfamily member 4, Glycoprotein Gp34, OX40 ligand\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P23510\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln51-Leu183\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eOX40L\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, OX40L is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eOX40L\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eOX40L\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eOX40L\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006338925,"sku":"EPT015-10UG","price":258.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_ba34e0f9-ed51-4209-b546-bd8d8c15360d.jpg?v=1770440665"},{"product_id":"recombinant-human-cxcl12-72aa-bhp15200016","title":"Recombinant Human CXCL12 (72AA)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCXCL12\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: CXCL12\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Stromal Cell-Derived Factor 1, SDF-1, hSDF-1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P48061\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eLys22-Met93\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCXCL12\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, CXCL12 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eCXCL12\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eCXCL12\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eCXCL12\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012006371693,"sku":"EPT016-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_ac533178-c4a3-46d0-bed7-62e45c84c538.jpg?v=1770440665"},{"product_id":"recombinant-mouse-epcam-c-fc-bhp15200017","title":"Recombinant Mouse EpCAM (C-Fc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEPCAM\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: EPCAM\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: 17-1A, 323, A3\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q99JW5\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Mouse\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln24-Thr266\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEPCAM\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, EPCAM is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eEPCAM\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eEPCAM\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eEPCAM\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006404461,"sku":"EPT017-50UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_adae736b-5a4a-4601-8878-1c6029cfa6e6.jpg?v=1770440665"},{"product_id":"recombinant-human-sema4b-c-fc-6his-bhp15200019","title":"Recombinant Human SEMA4B (C-Fc-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSEMA4B\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: SEMA4B\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Semaphorin-4B, KIAA1745, SEMAC\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9NPR2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eLeu39-Glu712\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSEMA4B\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, SEMA4B is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eSEMA4B\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eSEMA4B\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eSEMA4B\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006469997,"sku":"EPT019-50UG","price":1064.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_b48fcf29-a908-43e2-928b-8a3aa7408f23.jpg?v=1770440666"},{"product_id":"recombinant-mouse-nectin-4-c-fc-bhp15200020","title":"Recombinant Mouse Nectin-4 (C-Fc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNECTIN-4\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NECTIN-4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: PVRL4, Nectin-4, Ig superfamily receptor LNIR\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q8R007\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Mouse\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGly31-Ile349\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNECTIN-4\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, NECTIN-4 is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNECTIN-4\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNECTIN-4\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNECTIN-4\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"500 ug","offer_id":53012006502765,"sku":"EPT020-500UG","price":4171.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_4b9dc0ce-47c4-4c57-9a94-abd6ff518d0d.jpg?v=1770440666"},{"product_id":"recombinant-human-epdr1-c-6his-bhp15200021","title":"Recombinant Human EPDR1 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEPDR1\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: EPDR1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Mammalian ependymin-related protein 1, EPDR1, Upregulated in colorectal cancer gene 1 protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9UM22\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla38-Ser223\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEPDR1\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, EPDR1 is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eEPDR1\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eEPDR1\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eEPDR1\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006535533,"sku":"EPT021-50UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_0404f8ff-b1b2-4b29-bf7c-44e89f95dd41.jpg?v=1770440667"},{"product_id":"recombinant-human-lgals1-c-6his-bhp15200022","title":"Recombinant Human LGALS1 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLGALS1\u003c\/strong\u003e is a target studied in ecm \u0026amp; cell adhesion research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: LGALS1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Galectin-1, Gal-1, 14 kDa Laminin-Binding Protein\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P09382\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla2-Asp135\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLGALS1\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eECM \u0026amp; Cell Adhesion\u003c\/strong\u003e research, LGALS1 is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eLGALS1\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eLGALS1\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in ecm \u0026amp; cell adhesion studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eLGALS1\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006568301,"sku":"EPT022-50UG","price":375.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_525a094e-6c54-43b3-8843-30fb01cf9976.jpg?v=1770440666"},{"product_id":"recombinant-human-pcdh10-c-fc-bhp15200023","title":"Recombinant Human PCDH10 (C-Fc)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePCDH10\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: PCDH10\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Protocadherin-10, PCDH10, KIAA1400\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9P2E7\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGln19-Thr715\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePCDH10\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, PCDH10 is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003ePCDH10\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003ePCDH10\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003ePCDH10\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012006601069,"sku":"EPT023-50UG","price":531.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_cc04caa3-c960-470e-96b8-d24e457af8ea.jpg?v=1770440667"},{"product_id":"biotinylated-human-tim-3-c-fc-avi-bhp15200024","title":"Biotinylated Human TIM-3 (C-Fc-Avi)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTIM-3\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: TIM-3\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: Biotinylated Human TIM-3\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Hepatitis A virus cellular receptor 2, HAVcr-2, T-cell immunoglobulin and mucin domain-containing protein 3\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: AAL65157.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eSer22-Arg200\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTIM-3\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, TIM-3 is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eTIM-3\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eTIM-3\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eTIM-3\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"100 ug","offer_id":53012006633837,"sku":"EPT024-100UG","price":1870.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_af295c25-6548-4c64-9cda-1e9b9567c87b.jpg?v=1770440670"},{"product_id":"recombinant-mouse-il-2-bhp15200026","title":"Recombinant Mouse IL-2","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-2\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IL-2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: aldesleukin, interleukin 2, interleukin-2\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P04351\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Mouse\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla21-Gln169\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-2\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, IL-2 is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIL-2\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIL-2\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIL-2\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012007551341,"sku":"EPT026-10UG","price":180.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_9ac75947-0a1f-48b6-856c-c65b14a01413.jpg?v=1770440668"},{"product_id":"recombinant-human-ngr-c-6his-bhp15200027","title":"Recombinant Human NgR (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNgR\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: NgR\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Reticulon-4 Receptor, Nogo Receptor, NgR\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9BZR6\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eCys27-Ser447\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNgR\u003c\/strong\u003e is a receptor-associated target commonly studied for how extracellular cues are translated into intracellular signaling outputs. Receptor behavior can be influenced by ligand availability, co-receptors, clustering, and regulated trafficking, which together shape downstream pathway activity.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, NgR is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eReceptor signaling is often embedded in feedback loops and cross-talk with parallel pathways. As a result, changes in receptor abundance or state may reflect altered expression, shedding, or compartmentalization rather than a single causal step.\u003c\/p\u003e\u003cp\u003eRelated molecules considered in interpretation may include cognate ligands, adaptor proteins, kinases\/phosphatases that relay signals, and downstream transcriptional markers that report pathway activation.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eNgR\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eNgR\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eNgR\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012007584109,"sku":"EPT027-50UG","price":505.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_7bbdd49c-601a-47f0-8f62-d7e9be3c404a.jpg?v=1770440668"},{"product_id":"recombinant-human-mmp-9-c-6his-bhp15200028","title":"Recombinant Human MMP-9 (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMMP-9\u003c\/strong\u003e is a target studied in ecm \u0026amp; cell adhesion research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: MMP-9\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Matrix metalloproteinase-9, 92 kDa gelatinase, 92 kDa type IV collagenase\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: AAH06093.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla19-Asp707\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMMP-9\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eECM \u0026amp; Cell Adhesion\u003c\/strong\u003e research, MMP-9 is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eMMP-9\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eMMP-9\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in ecm \u0026amp; cell adhesion studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eMMP-9\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012007616877,"sku":"EPT028-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_5bfb27df-491a-4550-ae8a-f521d438334e.jpg?v=1770440669"},{"product_id":"recombinant-human-vegf165-bhp15200029","title":"Recombinant Human VEGF165","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eVEGF165\u003c\/strong\u003e is a target studied in molecular \u0026amp; cellular biology research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: VEGF165\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Vascular Endothelial Growth Factor Isoform 165, VEGF165\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P15692-4\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAla27-Arg191\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eVEGF165\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research, VEGF165 is often discussed within themes such as signal transduction networks, protein–protein interactions, cell-state and stress-response regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eVEGF165\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eVEGF165\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in molecular \u0026amp; cellular biology studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eVEGF165\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012007649645,"sku":"EPT029-10UG","price":362.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_c513c2a4-b3e3-45f7-a06b-97c71319dc83.jpg?v=1770440669"},{"product_id":"recombinant-mouse-egf-c-6his-bhp15200032","title":"Recombinant Mouse EGF (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEGF\u003c\/strong\u003e is a target studied in cell signaling research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: EGF\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Pro-epidermal growth factor, Epidermal growth factor, EGF\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: P01132\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Mouse\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eAsn977-Arg1029\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEGF\u003c\/strong\u003e is a protein target studied in diverse biological contexts. Proteins of this type are often analyzed as pathway components, interaction partners, or molecular readouts that help connect upstream perturbations to downstream phenotypes.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eCell Signaling\u003c\/strong\u003e research, EGF is often discussed within themes such as mechanistic biology studies, pathway-level interpretation, comparative model systems. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eProtein-level changes can arise from regulation at transcriptional, post-transcriptional, and post-translational layers. Therefore, interpretation often benefits from considering turnover, compartmentalization, and interaction-state changes in addition to abundance.\u003c\/p\u003e\u003cp\u003eDepending on pathway context, related molecules may include binding partners, upstream regulators, and downstream effectors used to triangulate biological conclusions.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eEGF\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eEGF\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in cell signaling studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eEGF\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"50 ug","offer_id":53012008599917,"sku":"EPT032-50UG","price":141.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_48c17144-aa50-4de6-8b69-bc4bffb2f810.jpg?v=1770440670"},{"product_id":"recombinant-hiv-gp120-c-8his-bhp15200033","title":"Recombinant HIV gp120 (C-8His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003egp120\u003c\/strong\u003e is a target studied in infectious disease research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: gp120\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eProtein name\u003c\/strong\u003e: HIV gp120\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Envelope glycoprotein gp120, Glycoprotein 120, Surface protein gp120\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: Q9DKG6\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: HIV\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eMet1-Glu498\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003egp120\u003c\/strong\u003e refers to a viral protein target that is commonly studied in virus–host interaction research. Depending on the virus and protein class, viral proteins may contribute to entry, replication complex organization, particle assembly, or modulation of host responses. Interpretations are typically model-dependent and benefit from considering viral life-cycle stage and host cell context.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research, gp120 is often discussed within themes such as host–pathogen interactions, innate immune responses, pathogenesis-related mechanisms. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eMechanistic studies often examine how viral proteins interface with host receptors, restriction factors, and innate immune sensing pathways. Reported effects can vary by strain, cell type, and experimental system, so comparisons across studies should account for these variables.\u003c\/p\u003e\u003cp\u003eRelated molecules frequently considered in the same biological narrative include host entry factors, innate immune mediators, and pathway markers that report cellular stress or inflammatory signaling during infection models.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003egp120\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003egp120\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in infectious disease studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003egp120\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012008632685,"sku":"EPT033-10UG","price":102.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_b7a6b749-c4cd-4211-8cd7-38b6051e6daa.jpg?v=1770440673"},{"product_id":"recombinant-human-il-23r-c-6his-bhp15200034","title":"Recombinant Human IL-23R (C-6His)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-23R\u003c\/strong\u003e is a target studied in immunology \u0026amp; inflammation research. The sections below provide general scientific background to support interpretation-focused decision making.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eGene\/target\u003c\/strong\u003e: IL-23R\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAlternative names\u003c\/strong\u003e: Interleukin-23 receptor, IL23R, IL-23 receptor\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccession\u003c\/strong\u003e: AAM44229.1\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSpecies context\u003c\/strong\u003e: Human\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cstrong\u003eSequence\/region note:\u003c\/strong\u003e Recombinant constructs are often produced as defined fragments or domains. This product corresponds to an expressed region annotated as \u003cstrong\u003eGly24-Asp353\u003c\/strong\u003e, which may represent a specific portion of the full-length protein used for controlled studies.\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIL-23R\u003c\/strong\u003e is commonly discussed in the context of immune communication, where soluble mediators and surface molecules coordinate activation, trafficking, and effector responses. Functional outcomes can depend on receptor expression, local microenvironment, and the presence of other cytokines or co-stimulatory signals.\u003c\/p\u003e\u003cp\u003eIn \u003cstrong\u003eImmunology \u0026amp; Inflammation\u003c\/strong\u003e research, IL-23R is often discussed within themes such as immune signaling networks, cytokine and receptor communication, cell trafficking and inflammatory regulation. These themes can help frame interpretation of molecular measurements in relation to broader biological programs.\u003c\/p\u003e\u003cp\u003eIn pathway context, immune targets are often interpreted alongside upstream stimuli and downstream signaling readouts (for example, transcriptional programs and phosphorylation-dependent signaling states). Because immune activation is dynamic, timing and sample composition can strongly influence observed changes.\u003c\/p\u003e\u003cp\u003eWhen building hypotheses, researchers commonly consider related ligands\/receptors in the same family, downstream adaptors, and cytokine\/chemokine networks that shape cell recruitment and activation states.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of \u003cstrong\u003eIL-23R\u003c\/strong\u003e can be regulated at multiple levels, including transcriptional control, mRNA stability, translation, and protein turnover. Many targets also exhibit context-dependent expression across tissues or model systems and may respond dynamically to stress, growth cues, immune stimulation, or metabolic state. When comparing datasets, consider species, cell type, stimulus, and time course.\u003c\/p\u003e\u003ch2\u003eIsoforms and molecular forms\u003c\/h2\u003e\u003cp\u003eMany proteins exist as alternative isoforms or processed forms, and post-translational modifications (for example, phosphorylation, glycosylation, acetylation, or proteolytic processing) can alter localization, interactions, or activity. When interpreting results involving \u003cstrong\u003eIL-23R\u003c\/strong\u003e, consider whether studies distinguish full-length protein from specific domains or fragments, and whether modification states are relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway interpretation:\u003c\/strong\u003e helps connect molecular changes to network-level hypotheses in immunology \u0026amp; inflammation studies.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative analysis:\u003c\/strong\u003e supports cross-condition or cross-model comparisons when nomenclature and context are aligned.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems context:\u003c\/strong\u003e often interpreted alongside related pathway components to distinguish direct effects from secondary changes.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and process relevance\u003c\/h2\u003e\u003cp\u003eDepending on the target, published studies may report associations between \u003cstrong\u003eIL-23R\u003c\/strong\u003e and disease mechanisms or physiological processes. Such associations are typically context dependent and are best interpreted alongside complementary markers and functional readouts, rather than as standalone evidence.\u003c\/p\u003e","brand":"ELK Biotechnology","offers":[{"title":"10 ug","offer_id":53012008665453,"sku":"EPT034-10UG","price":232.7,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/1hlhkoede157u6613b_d1f38f3b-baca-45a0-9b19-6d37f968c7b9.jpg?v=1770440670"}],"url":"https:\/\/www.ebiohippo.com\/collections\/elk-biotechnology-proteins.oembed?page=6","provider":"BioHippo","version":"1.0","type":"link"}