{"title":"Infectious Disease ELISA Kits","description":null,"products":[{"product_id":"human-cxcl10-ip-10-elisa-kit-ez-set-diy-antibody-pairs-bhe21000040","title":"Human CXCL10\/IP-10 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-X-C motif chemokine 10, 10 kDa interferon gamma-induced protein, Gamma-IP10, IP-10, Small-inducible cytokine B10, CXCL10 (1-73), CXCL10, INP10.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCXCL10\/IP-10\u003c\/strong\u003e (\u003cstrong\u003eCXCL10\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"5 plates\/kit","offer_id":52920802509165,"sku":"EZ0735","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/EZ0735-human-cxcl10-ez-set-elisa-kit-diy-antibody-pairs_74001ede-257d-425f-9f18-fbc324dab43b.jpg?v=1769077482"},{"product_id":"human-mif-elisa-kit-ez-set-diy-antibody-pairs-bhe21000070","title":"Human MIF ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Macrophage migration inhibitory factor, MIF, Glycosylation-inhibiting factor, GIF, L-dopachrome isomerase, L-dopachrome tautomerase, Phenylpyruvate tautomerase, GLIF.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eMIF\u003c\/strong\u003e (\u003cstrong\u003eMIF\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"5 plates\/kit","offer_id":52920803524973,"sku":"EZ0813","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0813_18e9a205-a312-460b-a0e7-d4e329defb2f.jpg?v=1769077493"},{"product_id":"human-kit-scfr-cd117-c-kit-picokine-quick-elisa-kit-bhe21000325","title":"Human KIT\/SCFR\/CD117\/C Kit PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eKIT\/SCFR\/CD117\/C Kit\u003c\/strong\u003e (\u003cstrong\u003eKIT\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003ecell-surface signaling and cell-state markers\u003c\/strong\u003e. Many receptors and surface markers act as gateways for signaling or as phenotypic indicators of specific cell populations and activation states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eIn experimental systems, protein abundance can reflect regulated expression, secretion, processing, or clearance. Interpreting changes benefits from considering compartment (cell-associated vs soluble), the time scale of regulation, and whether complexes or modified forms contribute to the measured signal.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems-level readout:\u003c\/strong\u003e Quantification supports comparisons across conditions, time points, and treatment groups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic interpretation:\u003c\/strong\u003e Pairing with upstream regulators and downstream markers helps contextualize changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker-style profiling:\u003c\/strong\u003e Measuring panels of related analytes can improve interpretability in complex models.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920812241261,"sku":"FEK0835","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0835_1_493fa43f-f473-4ecf-90cf-c409995bb3de.png?v=1769077621"},{"product_id":"mouse-cd14-elisa-kit-picokine-bhe21000569","title":"Mouse CD14 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Monocyte differentiation antigen CD14, Myeloid cell-specific leucine-rich glycoprotein, CD14.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eCD14\u003c\/strong\u003e (\u003cstrong\u003eCD14\u003c\/strong\u003e) is widely studied as a molecular readout in experimental models where changes in protein abundance reflect underlying biology. This target is frequently investigated in \u003cstrong\u003eCell Signaling\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003ecell-surface signaling and cell-state markers\u003c\/strong\u003e. Many receptors and surface markers act as gateways for signaling or as phenotypic indicators of specific cell populations and activation states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eIn experimental systems, protein abundance can reflect regulated expression, secretion, processing, or clearance. Interpreting changes benefits from considering compartment (cell-associated vs soluble), the time scale of regulation, and whether complexes or modified forms contribute to the measured signal.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems-level readout:\u003c\/strong\u003e Quantification supports comparisons across conditions, time points, and treatment groups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic interpretation:\u003c\/strong\u003e Pairing with upstream regulators and downstream markers helps contextualize changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker-style profiling:\u003c\/strong\u003e Measuring panels of related analytes can improve interpretability in complex models.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920820760941,"sku":"EK0695","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0695.jpg?v=1769077747"},{"product_id":"mouse-cxcl1-gro-alpha-elisa-kit-picokine-bhe21000587","title":"Mouse CXCL1\/Gro Alpha ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-X-C motif chemokine, Cxcl1, mCG_1708.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eCXCL1\/Gro Alpha\u003c\/strong\u003e (\u003cstrong\u003eCXCL1\u003c\/strong\u003e) is widely studied as a molecular readout in experimental models where changes in protein abundance reflect underlying biology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920821383533,"sku":"EK0723","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0723_3139eae6-4d53-4233-b809-3d6c09124cad.png?v=1769077756"},{"product_id":"human-cxcl10-ip-10-elisa-kit-picokine-bhe21000593","title":"Human CXCL10\/IP-10 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-X-C motif chemokine 10, 10 kDa interferon gamma-induced protein, Gamma-IP10, IP-10, Small-inducible cytokine B10, CXCL10 (1-73), CXCL10, INP10.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCXCL10\/IP-10\u003c\/strong\u003e (\u003cstrong\u003eCXCL10\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920821580141,"sku":"EK0735","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0735_1fa8f802-12fe-4038-8f65-6e6961874a7c.png?v=1769077758"},{"product_id":"mouse-cxcl10-ip-10-elisa-kit-picokine-bhe21000594","title":"Mouse CXCL10\/IP-10 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-X-C motif chemokine 10, 10 kDa interferon gamma-induced protein, Gamma-IP10, IP-10, C7, Interferon-gamma induced protein CRG-2, Small-inducible cytokine B10, Cxcl10.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eCXCL10\/IP-10\u003c\/strong\u003e (\u003cstrong\u003eCXCL10\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920821612909,"sku":"EK0736","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0736.png?v=1769077758"},{"product_id":"human-emmprin-cd147-bsg-elisa-kit-picokine-bhe21000603","title":"Human EMMPRIN\/CD147\/BSG ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Basigin, 5F7, Collagenase stimulatory factor, Extracellular matrix metalloproteinase inducer, EMMPRIN, Leukocyte activation antigen M6, OK blood group antigen, Tumor cell-derived collagenase stimulatory factor.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eEMMPRIN\/CD147\/BSG\u003c\/strong\u003e (\u003cstrong\u003eBSG\u003c\/strong\u003e) is widely studied as a molecular readout in experimental models where changes in protein abundance reflect underlying biology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920821907821,"sku":"EK0751","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0751_3_8c870be5-f794-4dee-b4b9-0f0c27485570.png?v=1769077763"},{"product_id":"human-mif-elisa-kit-picokine-bhe21000631","title":"Human MIF ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Macrophage migration inhibitory factor, MIF.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eMIF\u003c\/strong\u003e (\u003cstrong\u003eMIF\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920822825325,"sku":"EK0813","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0813_006ed3a6-8f19-4f2e-9f46-3e4c0239d747.png?v=1769077775"},{"product_id":"human-comp-thrombospondin-5-elisa-kit-picokine-bhe21000690","title":"Human COMP\/Thrombospondin 5 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Cartilage oligomeric matrix protein, COMP, Thrombospondin-5, TSP5.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCOMP\/Thrombospondin 5\u003c\/strong\u003e (\u003cstrong\u003eCOMP\u003c\/strong\u003e) is widely studied as a molecular readout in experimental models where changes in protein abundance reflect underlying biology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920825315693,"sku":"EK0913","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0913_1.png?v=1769077804"},{"product_id":"mouse-ace2-elisa-kit-picokine-bhe21000808","title":"Mouse ACE2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Angiotensin-converting enzyme 2, 3.4.17.23, ACE-related carboxypeptidase, Processed angiotensin-converting enzyme 2, Ace2.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eACE2\u003c\/strong\u003e (\u003cstrong\u003eACE2\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eMetabolism \u0026amp; Diabetes\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920831148397,"sku":"EK1188","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1188.png?v=1769077865"},{"product_id":"mouse-lbp-elisa-kit-picokine-bhe21000864","title":"Mouse LBP ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Lipopolysaccharide-binding protein, LBP.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eLBP\u003c\/strong\u003e (\u003cstrong\u003eLBP\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920832983405,"sku":"EK1274","price":450.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1274_c87b5777-fcef-4afa-a64e-fb0539e9e7c1.jpg?v=1769077899"},{"product_id":"human-lbp-elisa-kit-picokine-bhe21001028","title":"Human LBP ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Lipopolysaccharide-binding protein, LBP.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eLBP\u003c\/strong\u003e (\u003cstrong\u003eLBP\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920842551661,"sku":"EK1271","price":450.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1271.jpg?v=1769077995"},{"product_id":"rat-alcam-cd166-elisa-kit-picokine-bhe21001131","title":"Rat ALCAM\/CD166 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e CD166 antigen, Activated leukocyte cell adhesion molecule, HB2, KG-CAM, Protein MEMD, SB-10 antigen, CD166, Alcam.\u003c\/p\u003e\u003cp\u003eRat \u003cstrong\u003eALCAM\/CD166\u003c\/strong\u003e (\u003cstrong\u003eAlcam\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003ecell-surface signaling and cell-state markers\u003c\/strong\u003e. Many receptors and surface markers act as gateways for signaling or as phenotypic indicators of specific cell populations and activation states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eIn experimental systems, protein abundance can reflect regulated expression, secretion, processing, or clearance. Interpreting changes benefits from considering compartment (cell-associated vs soluble), the time scale of regulation, and whether complexes or modified forms contribute to the measured signal.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems-level readout:\u003c\/strong\u003e Quantification supports comparisons across conditions, time points, and treatment groups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic interpretation:\u003c\/strong\u003e Pairing with upstream regulators and downstream markers helps contextualize changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker-style profiling:\u003c\/strong\u003e Measuring panels of related analytes can improve interpretability in complex models.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920854446445,"sku":"EK1572","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1572_c7ecaedb-c08d-4450-a0fc-7cfd5f963e32.jpg?v=1769078054"},{"product_id":"monkey-primate-mif-elisa-kit-picokine-bhe21001245","title":"Monkey primate MIF ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Macrophage migration inhibitory factor, MIF.\u003c\/p\u003e\u003cp\u003eMonkey \u003cstrong\u003eprimate MIF\u003c\/strong\u003e (\u003cstrong\u003eMIF\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920862245229,"sku":"EK0813-PR","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0813-pr.png?v=1769078122"},{"product_id":"human-cd14-elisa-kit-picokine-bhe21001383","title":"Human CD14 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Monocyte differentiation antigen CD14, Myeloid cell-specific leucine-rich glycoprotein, CD14.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCD14\u003c\/strong\u003e (\u003cstrong\u003eCD14\u003c\/strong\u003e) is widely studied as a molecular readout in experimental models where changes in protein abundance reflect underlying biology. This target is frequently investigated in \u003cstrong\u003eOncology \u0026amp; Angiogenesis\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003ecell-surface signaling and cell-state markers\u003c\/strong\u003e. Many receptors and surface markers act as gateways for signaling or as phenotypic indicators of specific cell populations and activation states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eIn experimental systems, protein abundance can reflect regulated expression, secretion, processing, or clearance. Interpreting changes benefits from considering compartment (cell-associated vs soluble), the time scale of regulation, and whether complexes or modified forms contribute to the measured signal.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems-level readout:\u003c\/strong\u003e Quantification supports comparisons across conditions, time points, and treatment groups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic interpretation:\u003c\/strong\u003e Pairing with upstream regulators and downstream markers helps contextualize changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker-style profiling:\u003c\/strong\u003e Measuring panels of related analytes can improve interpretability in complex models.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920874172781,"sku":"EK0694","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0694_173ab00b-6b3a-4174-b6df-de3b9066589d.png?v=1769078185"},{"product_id":"human-lilra3-cd85e-elisa-kit-picokine-bhe21001669","title":"Human LILRA3\/CD85e ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eLILRA3\/CD85e\u003c\/strong\u003e (\u003cstrong\u003eLILRA3\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003ecell-surface signaling and cell-state markers\u003c\/strong\u003e. Many receptors and surface markers act as gateways for signaling or as phenotypic indicators of specific cell populations and activation states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eIn experimental systems, protein abundance can reflect regulated expression, secretion, processing, or clearance. Interpreting changes benefits from considering compartment (cell-associated vs soluble), the time scale of regulation, and whether complexes or modified forms contribute to the measured signal.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eSystems-level readout:\u003c\/strong\u003e Quantification supports comparisons across conditions, time points, and treatment groups.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic interpretation:\u003c\/strong\u003e Pairing with upstream regulators and downstream markers helps contextualize changes.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker-style profiling:\u003c\/strong\u003e Measuring panels of related analytes can improve interpretability in complex models.\u003c\/li\u003e\n\u003c\/ul\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920890130797,"sku":"EK2113","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2113.png?v=1769078340"},{"product_id":"human-cathepsin-z-elisa-kit-picokine-bhe21001723","title":"Human Cathepsin Z ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eCathepsin Z\u003c\/strong\u003e (\u003cstrong\u003eCTSZ\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. Proteases and extracellular matrix (ECM) components are central to tissue architecture and remodeling. In many experimental contexts, changes in ECM-related proteins reflect shifts in cell adhesion, migration, barrier integrity, or matrix turnover.\u003c\/p\u003e\u003ch2\u003eBiological function and remodeling context\u003c\/h2\u003e\u003cp\u003eMatrix remodeling is influenced by the balance between synthesis and degradation, often regulated by inflammatory cues, mechanical stress, and growth-factor signaling. Protease activity can unmask or release bioactive fragments, while altered ECM composition can feed back on cell behavior through mechanotransduction and receptor engagement.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eRemodeling readout:\u003c\/strong\u003e Quantification can support studies of fibrosis, wound repair, and invasion models.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment state:\u003c\/strong\u003e Levels may reflect stromal activation, barrier disruption, or matrix turnover.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic linkage:\u003c\/strong\u003e Pairing with inflammatory and growth-factor markers can clarify drivers of remodeling.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eECM remodeling and protease regulation are frequently discussed in the literature across oncology, cardiovascular, pulmonary, and inflammatory disease models. Interpretation of abundance should consider whether the measured analyte represents pro-forms, active forms, or fragments, and whether binding partners in the matrix influence detectability.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920894685549,"sku":"EK2178","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2178.jpg?v=1769078363"},{"product_id":"human-lrg1-elisa-kit-picokine-bhe21001780","title":"Human LRG1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eLRG1\u003c\/strong\u003e (\u003cstrong\u003eLRG1\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920897864045,"sku":"EK2233","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2233.jpg?v=1769078390"},{"product_id":"mouse-cxcl10-ip-10-picokine-quick-elisa-kit-bhe21001843","title":"Mouse CXCL10\/IP-10 PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eMouse \u003cstrong\u003eCXCL10\/IP-10\u003c\/strong\u003e (\u003cstrong\u003eCXCL10\u003c\/strong\u003e) is an established target in many assay panels, supporting hypothesis testing across diverse biological systems. This target is frequently investigated in \u003cstrong\u003eMolecular \u0026amp; Cellular Biology\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920900485485,"sku":"FEK0736","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0736.png?v=1769078425"},{"product_id":"primate-ifn-gamma-elisa-kit-picokine-bhe21001991","title":"Primate IFN-gamma ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interferon gamma receptor 1, IFN-gamma receptor 1, IFN-gamma-R1, CDw119, CD119, IFNGR1.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePrimate IFN-gamma\u003c\/strong\u003e (\u003cstrong\u003eIFNG\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eInfectious Disease\u003c\/strong\u003e research contexts. Cytokines and chemokines act as soluble messengers that coordinate immune cell activation, trafficking, and effector functions. Their concentrations can change rapidly in response to infection, tissue injury, or immune stimulation.\u003c\/p\u003e\u003ch2\u003eBiological function and signaling context\u003c\/h2\u003e\u003cp\u003eIn immune signaling networks, cytokine production is often induced by pattern-recognition pathways and inflammatory transcriptional programs, while feedback regulators can dampen responses to restore homeostasis. Chemokine gradients guide leukocyte migration, influencing which cell populations accumulate at a site and how long they persist.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eImmune activation readout:\u003c\/strong\u003e Shifts in abundance can reflect pathway engagement and cellular activation state.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMicroenvironment profiling:\u003c\/strong\u003e Levels can help characterize inflammatory tone in tissues or biofluids.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eResponse monitoring:\u003c\/strong\u003e Time-course measurements support interpretation of stimulus, treatment, or infection models.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eMany cytokines and chemokines are reported to associate with inflammatory, autoimmune, infectious, and oncology-related processes. In research settings, interpreting changes benefits from pairing this analyte with complementary markers (e.g., upstream triggers, downstream effectors, and cell-type indicators) and considering matrix effects.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920907530605,"sku":"EK2375","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2375.jpg?v=1769078504"},{"product_id":"sars-cov-2-surrogate-virus-neutralizing-test-svnt-spike-protein-ace2-ligand-binding-assay-covid-19-svnt-bhe18300017","title":"SARS-CoV-2 surrogate Virus Neutralizing Test (sVNT) (spike protein\/ ACE2 ligand binding assay) COVID-19 sVNT (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSARS-CoV-2 surrogate Virus Neutralizing Test (sVNT) (spike protein\/ ACE2 ligand binding assay) COVID-19 sVNT\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor SARS-CoV-2 surrogate Virus Neutralizing Test (sVNT) (spike protein\/ ACE2 ligand binding assay) COVID-19 sVNT in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in SARS-CoV-2 surrogate Virus Neutralizing Test (sVNT) (spike protein\/ ACE2 ligand binding assay) COVID-19 sVNT may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that SARS-CoV-2 surrogate Virus Neutralizing Test (sVNT) (spike protein\/ ACE2 ligand binding assay) COVID-19 sVNT participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950694101357,"sku":"EL-1611-32214-96WELLSX1","price":1150.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_ef698419-2f55-45dc-8cb5-3bfcf3f68c12.jpg?v=1769074197"},{"product_id":"bovine-high-mobility-group-protein-b1-hmgb-1-elisa-kit-bhe12100109","title":"Bovine High Mobility Group Protein B1, HMGB-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P10103\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, High Mobility Group Protein B1 (HMGB1) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of High Mobility Group Protein B1 (HMGB1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eHigh Mobility Group Protein B1 (HMGB1) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of High Mobility Group Protein B1 (HMGB1) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHigh mobility group protein 1\u003c\/strong\u003e, \u003cstrong\u003eHigh mobility group protein B1\u003c\/strong\u003e, and \u003cstrong\u003eHMG-1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952445387117,"sku":"E0097Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0097Bo.jpg?v=1769145919"},{"product_id":"bovine-toll-like-receptor-4-tlr4-elisa-kit-bhe12100240","title":"Bovine Toll-like Receptor 4, TLR4 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eToll-like Receptor 4 (TLR4)\u003c\/strong\u003e is a molecular target commonly studied in immunology, microbiology, and cardiovascular research. Receptors mediate cellular responses to ligands and translate extracellular cues into intracellular signaling programs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q9GL65\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Toll-like Receptor 4 (TLR4) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Toll-like Receptor 4 (TLR4) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eToll-like Receptor 4 (TLR4) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Toll-like Receptor 4 (TLR4) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eToll-like Receptor 4 (TLR4)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD284\u003c\/strong\u003e, \u003cstrong\u003eTLR 4\u003c\/strong\u003e, and \u003cstrong\u003eTLR4\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952446206317,"sku":"E0242Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0242Bo.jpg?v=1769145925"},{"product_id":"bovine-c-x-c-motif-chemokine-10-cxcl10-elisa-kit-bhe12100496","title":"Bovine C-X-C Motif Chemokine 10, CXCL10 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eC-X-C Motif Chemokine 10 (CXCL10)\u003c\/strong\u003e is a molecular target commonly studied in immunology, microbiology, and cancer research. Chemokines are signaling proteins that guide cell trafficking and coordinate immune-cell recruitment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q2KIQ8\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, C-X-C Motif Chemokine 10 (CXCL10) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of C-X-C Motif Chemokine 10 (CXCL10) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eC-X-C Motif Chemokine 10 (CXCL10) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of C-X-C Motif Chemokine 10 (CXCL10) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eC-X-C Motif Chemokine 10 (CXCL10)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eC-X-C motif chemokine 10\u003c\/strong\u003e, \u003cstrong\u003eCXCL 10\u003c\/strong\u003e, and \u003cstrong\u003eCXCL10\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952448303469,"sku":"E2202Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2202Bo.jpg?v=1769145943"},{"product_id":"bovine-lipopolysaccharide-binding-protein-lbp-elisa-kit-bhe12100521","title":"Bovine Lipopolysaccharide Binding Protein, LBP ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLipopolysaccharide Binding Protein (LBP)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q2TBI0\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Lipopolysaccharide Binding Protein (LBP) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Lipopolysaccharide Binding Protein (LBP) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eLipopolysaccharide Binding Protein (LBP) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Lipopolysaccharide Binding Protein (LBP) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLipopolysaccharide Binding Protein (LBP)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eLBP\u003c\/strong\u003e and \u003cstrong\u003eLipopolysaccharide-binding protein\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952448926061,"sku":"E2227Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2227Bo.jpg?v=1769145949"},{"product_id":"canine-calcitonin-ct-elisa-kit-bhe12100767","title":"Canine Calcitonin, CT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCalcitonin (CALCA)\u003c\/strong\u003e is a molecular target commonly studied in life science research. 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Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eCalcitonin (CALCA) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Calcitonin (CALCA) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCalcitonin (CALCA)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCALCA\u003c\/strong\u003e and \u003cstrong\u003eCalcitonin\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952450597229,"sku":"E0246Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0246Ca.jpg?v=1769145965"},{"product_id":"canine-c-x-c-motif-chemokine-10-cxcl10-elisa-kit-bhe12100847","title":"Canine C-X-C Motif Chemokine 10, CXCL10 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eC-X-C Motif Chemokine 10 (CXCL10)\u003c\/strong\u003e is a molecular target commonly studied in immunology, microbiology, and cancer research. Chemokines are signaling proteins that guide cell trafficking and coordinate immune-cell recruitment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q5KSV9\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, C-X-C Motif Chemokine 10 (CXCL10) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of C-X-C Motif Chemokine 10 (CXCL10) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eC-X-C Motif Chemokine 10 (CXCL10) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of C-X-C Motif Chemokine 10 (CXCL10) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eC-X-C Motif Chemokine 10 (CXCL10)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eC-X-C motif chemokine 10\u003c\/strong\u003e, \u003cstrong\u003eCXCL10\u003c\/strong\u003e, and \u003cstrong\u003eSmall-inducible cytokine B10\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952451187053,"sku":"E0339Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0339Ca.jpg?v=1769145970"},{"product_id":"canine-high-mobility-group-protein-b1-hmgb1-elisa-kit-bhe12100854","title":"Canine High Mobility Group Protein B1, HMGB1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q6YKA4\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, High Mobility Group Protein B1 (HMGB1) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of High Mobility Group Protein B1 (HMGB1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eHigh Mobility Group Protein B1 (HMGB1) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of High Mobility Group Protein B1 (HMGB1) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHigh mobility group protein 1\u003c\/strong\u003e, \u003cstrong\u003eHigh mobility group protein B1\u003c\/strong\u003e, and \u003cstrong\u003eHMG-1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952451383661,"sku":"E0346Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0346Ca.jpg?v=1769145971"},{"product_id":"human-macrophage-inflammatory-protein-3-mip-3b-elisa-kit-bhe12101820","title":"Human Macrophage Inflammatory Protein-3?, MIP-3B ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMacrophage Inflammatory Protein-3Β (CCL19)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. Chemokines are signaling proteins that guide cell trafficking and coordinate immune-cell recruitment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q99731\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Macrophage Inflammatory Protein-3Β (CCL19) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Macrophage Inflammatory Protein-3Β (CCL19) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eMacrophage Inflammatory Protein-3Β (CCL19) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Macrophage Inflammatory Protein-3Β (CCL19) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMacrophage Inflammatory Protein-3Β (CCL19)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBeta-chemokine exodus-3\u003c\/strong\u003e, \u003cstrong\u003eC-C motif chemokine 19\u003c\/strong\u003e, and \u003cstrong\u003eCCL 19\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952455643501,"sku":"E0085Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0085Hu.jpg?v=1769146006"},{"product_id":"human-macrophage-migration-inhibitory-factor-mif-elisa-kit-bhe12101876","title":"Human Macrophage Migration Inhibitory Factor, MIF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMacrophage Migration Inhibitory Factor (MIF)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P14174\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Macrophage Migration Inhibitory Factor (MIF) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Macrophage Migration Inhibitory Factor (MIF) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eMacrophage Migration Inhibitory Factor (MIF) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Macrophage Migration Inhibitory Factor (MIF) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMacrophage Migration Inhibitory Factor (MIF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eGIF\u003c\/strong\u003e, \u003cstrong\u003eGlycosylation-inhibiting factor\u003c\/strong\u003e, and \u003cstrong\u003eL-dopachrome isomerase\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952456855917,"sku":"E0141Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0141Hu.jpg?v=1769146020"},{"product_id":"human-toll-like-receptor-4-tlr4-elisa-kit-bhe12102048","title":"Human Toll-like Receptor 4, TLR4 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eToll-like Receptor 4 (TLR4)\u003c\/strong\u003e is a molecular target commonly studied in immunology, microbiology, and cardiovascular research. Receptors mediate cellular responses to ligands and translate extracellular cues into intracellular signaling programs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: O00206\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Toll-like Receptor 4 (TLR4) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Toll-like Receptor 4 (TLR4) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eToll-like Receptor 4 (TLR4) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Toll-like Receptor 4 (TLR4) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eToll-like Receptor 4 (TLR4)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD284\u003c\/strong\u003e, \u003cstrong\u003ehToll\u003c\/strong\u003e, and \u003cstrong\u003eTLR 4\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952458953069,"sku":"E0346Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0346Hu.jpg?v=1769146044"},{"product_id":"human-lipolysaccharide-binding-protein-lbp-elisa-kit-bhe12102060","title":"Human Lipolysaccharide Binding Protein, LBP ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLipolysaccharide Binding Protein (LBP)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P18428\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Lipolysaccharide Binding Protein (LBP) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Lipolysaccharide Binding Protein (LBP) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eLipolysaccharide Binding Protein (LBP) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Lipolysaccharide Binding Protein (LBP) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eLipolysaccharide Binding Protein (LBP)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eLBP\u003c\/strong\u003e and \u003cstrong\u003eLipopolysaccharide-binding protein\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952459182445,"sku":"E0360Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0360Hu.jpg?v=1769146047"},{"product_id":"human-calcitonin-ct-elisa-kit-bhe12102670","title":"Human Calcitonin, CT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCalcitonin (CALCA)\u003c\/strong\u003e is a molecular target commonly studied in signal transduction research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P01258\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Calcitonin (CALCA) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Calcitonin (CALCA) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eCalcitonin (CALCA) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Calcitonin (CALCA) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCalcitonin (CALCA)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCALCA\u003c\/strong\u003e, \u003cstrong\u003eCalcitonin Calcitonin\u003c\/strong\u003e, and \u003cstrong\u003eCalcitonin carboxyl-terminal Peptide\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952464130413,"sku":"E1002Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1002Hu.jpg?v=1769146104"},{"product_id":"human-thrombopoietin-tpo-elisa-kit-bhe12102693","title":"Human Thrombopoietin, TPO ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThrombopoietin (THPO)\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P40225\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Thrombopoietin (THPO) is frequently examined in relation to vascular biology and endothelial function, cardiac remodeling and injury responses, and hemostasis and thrombosis. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Thrombopoietin (THPO) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eThrombopoietin (THPO) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Thrombopoietin (THPO) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThrombopoietin (THPO)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eC-mpl ligand\u003c\/strong\u003e, \u003cstrong\u003eMegakaryocyte colony-stimulating factor\u003c\/strong\u003e, and \u003cstrong\u003eMegakaryocyte growth and development factor\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952464359789,"sku":"E1031Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1031Hu.jpg?v=1769146106"},{"product_id":"human-kidney-injury-molecule-1-kim-1-elisa-kit-bhe12102749","title":"Human Kidney Injury Molecule 1, KIM-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eKidney Injury Molecule 1 (HAVCR1)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q96D42\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Kidney Injury Molecule 1 (HAVCR1) is frequently examined in relation to innate and adaptive immune responses, cytokine signaling networks, and immune cell activation and trafficking. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Kidney Injury Molecule 1 (HAVCR1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eKidney Injury Molecule 1 (HAVCR1) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Kidney Injury Molecule 1 (HAVCR1) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eKidney Injury Molecule 1 (HAVCR1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD365\u003c\/strong\u003e, \u003cstrong\u003eHAVCR 1\u003c\/strong\u003e, and \u003cstrong\u003eHAVCR1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952464884077,"sku":"E1099Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1099Hu.jpg?v=1769146111"},{"product_id":"human-histone-deacetylase-complex-subunit-sap30l-sap30l-elisa-kit-bhe12103105","title":"Human Histone Deacetylase Complex Subunit Sap30L, SAP30L ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHistone Deacetylase Complex Subunit Sap30L (SAP30L)\u003c\/strong\u003e is a molecular target commonly studied in life science research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q9HAJ7\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Histone Deacetylase Complex Subunit Sap30L (SAP30L) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Histone Deacetylase Complex Subunit Sap30L (SAP30L) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eHistone Deacetylase Complex Subunit Sap30L (SAP30L) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Histone Deacetylase Complex Subunit Sap30L (SAP30L) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHistone Deacetylase Complex Subunit Sap30L (SAP30L)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHCV non-structural protein 4A-transactivated protein 2\u003c\/strong\u003e, \u003cstrong\u003eHistone deacetylase complex subunit SAP30L\u003c\/strong\u003e, and \u003cstrong\u003eNS4ATP2\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952469143917,"sku":"E1488Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1488Hu.jpg?v=1769146136"},{"product_id":"human-high-mobility-group-protein-b1-hmgb-1-elisa-kit-bhe12103220","title":"Human High Mobility Group Protein B1, HMGB-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P09429\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, High Mobility Group Protein B1 (HMGB1) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of High Mobility Group Protein B1 (HMGB1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eHigh Mobility Group Protein B1 (HMGB1) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of High Mobility Group Protein B1 (HMGB1) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHigh Mobility Group Protein B1 (HMGB1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHigh mobility group protein 1\u003c\/strong\u003e, \u003cstrong\u003eHigh mobility group protein B1\u003c\/strong\u003e, and \u003cstrong\u003eHMG-1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952471273837,"sku":"E1635Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1635Hu.jpg?v=1769146146"},{"product_id":"human-transmembrane-protease-serine-2-tmprss2-elisa-kit-bhe12104163","title":"Human Transmembrane Protease, Serine 2, TMPRSS2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTransmembrane Protease, Serine 2 (TMPRSS2)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: O15393\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Transmembrane Protease, Serine 2 (TMPRSS2) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Transmembrane Protease, Serine 2 (TMPRSS2) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eTransmembrane Protease, Serine 2 (TMPRSS2) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Transmembrane Protease, Serine 2 (TMPRSS2) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTransmembrane Protease, Serine 2 (TMPRSS2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eSerine protease 10\u003c\/strong\u003e, \u003cstrong\u003eTMPRSS 2\u003c\/strong\u003e, and \u003cstrong\u003eTMPRSS2\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952486478189,"sku":"E2625Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2625Hu.jpg?v=1769146268"},{"product_id":"human-plexin-c1-plxnc1-elisa-kit-bhe12104176","title":"Human Plexin C1, PLXNC1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePlexin C1 (PLXNC1)\u003c\/strong\u003e is a molecular target commonly studied in life science research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: O60486\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Plexin C1 (PLXNC1) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Plexin C1 (PLXNC1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003ePlexin C1 (PLXNC1) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Plexin C1 (PLXNC1) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePlexin C1 (PLXNC1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD232\u003c\/strong\u003e, \u003cstrong\u003eCD232\u003c\/strong\u003e, and \u003cstrong\u003ePlexin-C1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952486871405,"sku":"E2638Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2638Hu.jpg?v=1769146271"},{"product_id":"human-angiotensin-converting-enzyme-2-ace2-elisa-kit-bhe12104699","title":"Human Angiotensin Converting Enzyme 2, ACE2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAngiotensin Converting Enzyme 2 (ACE2)\u003c\/strong\u003e is a molecular target commonly studied in microbiology, cell biology, and cardiovascular research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q9BYF1\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Angiotensin Converting Enzyme 2 (ACE2) is frequently examined in relation to infection and host defense, barrier and mucosal immunity, and host–microbe interactions. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Angiotensin Converting Enzyme 2 (ACE2) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eAngiotensin Converting Enzyme 2 (ACE2) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Angiotensin Converting Enzyme 2 (ACE2) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAngiotensin Converting Enzyme 2 (ACE2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eACE 2\u003c\/strong\u003e, \u003cstrong\u003eACE2\u003c\/strong\u003e, and \u003cstrong\u003eACEH\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952497914221,"sku":"E3169Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3169Hu.jpg?v=1769146376"},{"product_id":"human-cc-chemokine-receptor-5-ccr-5-elisa-kit-bhe12105078","title":"Human Cc-Chemokine Receptor 5, CCR-5 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCc-Chemokine Receptor 5 (CCR5)\u003c\/strong\u003e is a molecular target commonly studied in life science research. Chemokines are signaling proteins that guide cell trafficking and coordinate immune-cell recruitment.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P51681\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Cc-Chemokine Receptor 5 (CCR5) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Cc-Chemokine Receptor 5 (CCR5) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eCc-Chemokine Receptor 5 (CCR5) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Cc-Chemokine Receptor 5 (CCR5) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCc-Chemokine Receptor 5 (CCR5)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eC-C chemokine receptor type 5\u003c\/strong\u003e, \u003cstrong\u003eC-C CKR-5\u003c\/strong\u003e, and \u003cstrong\u003eCC-CKR-5\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952506433901,"sku":"E3600Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3600Hu.jpg?v=1769146453"},{"product_id":"human-tyrosine-protein-kinase-fer-fer-elisa-kit-bhe12105212","title":"Human Tyrosine-protein Kinase Fer, FER ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTyrosine-protein Kinase Fer (FER)\u003c\/strong\u003e is a molecular target commonly studied in life science research. Enzymes influence signaling and metabolism through catalytic activity that can vary across tissues and physiological states.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P16591\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Tyrosine-protein Kinase Fer (FER) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Tyrosine-protein Kinase Fer (FER) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eTyrosine-protein Kinase Fer (FER) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Tyrosine-protein Kinase Fer (FER) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTyrosine-protein Kinase Fer (FER)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eFeline encephalitis virus-related kinase FER\u003c\/strong\u003e, \u003cstrong\u003eFER\u003c\/strong\u003e, and \u003cstrong\u003eFujinami poultry sarcoma\/Feline sarcoma-related protein Fer\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952508662125,"sku":"E3751Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3751Hu.jpg?v=1769146469"},{"product_id":"human-serine-threonine-protein-kinase-b-raf-braf-elisa-kit-bhe12105344","title":"Human Serine Threonine-protein Kinase B-raf, BRAF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSerine Threonine-protein Kinase B-raf (BRAF)\u003c\/strong\u003e is a molecular target commonly studied in cell biology research. Enzymes influence signaling and metabolism through catalytic activity that can vary across tissues and physiological states.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P15056\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Serine Threonine-protein Kinase B-raf (BRAF) is frequently examined in relation to signal transduction pathways, cell cycle and stress-response programs, and organelle and membrane dynamics. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Serine Threonine-protein Kinase B-raf (BRAF) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eSerine Threonine-protein Kinase B-raf (BRAF) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Serine Threonine-protein Kinase B-raf (BRAF) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSerine Threonine-protein Kinase B-raf (BRAF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBRAF\u003c\/strong\u003e, \u003cstrong\u003eB-raf\u003c\/strong\u003e, and \u003cstrong\u003eBRAF1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952512692589,"sku":"E3906Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3906Hu.jpg?v=1769146490"},{"product_id":"human-probablehydrolase-pnkd-pnkd-elisa-kit-bhe12105865","title":"Human Probablehydrolase Pnkd, PNKD ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eProbablehydrolase Pnkd (PNKD)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q8N490\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Probablehydrolase Pnkd (PNKD) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Probablehydrolase Pnkd (PNKD) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eProbablehydrolase Pnkd (PNKD) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Probablehydrolase Pnkd (PNKD) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eProbablehydrolase Pnkd (PNKD)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eDYT8\u003c\/strong\u003e, \u003cstrong\u003eFKSG19\u003c\/strong\u003e, and \u003cstrong\u003eFPD1\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952530846061,"sku":"E4551Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4551Hu.jpg?v=1769146549"},{"product_id":"human-coxsackievirus-and-adenovirus-receptor-cxadr-elisa-kit-bhe12106486","title":"Human Coxsackievirus and Adenovirus Receptor, CXADR ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCoxsackievirus and Adenovirus Receptor (CXADR)\u003c\/strong\u003e is a molecular target commonly studied in microbiology research. Receptors mediate cellular responses to ligands and translate extracellular cues into intracellular signaling programs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P78310\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Coxsackievirus and Adenovirus Receptor (CXADR) is frequently examined in relation to infection and host defense, barrier and mucosal immunity, and host–microbe interactions. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Coxsackievirus and Adenovirus Receptor (CXADR) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eCoxsackievirus and Adenovirus Receptor (CXADR) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Coxsackievirus and Adenovirus Receptor (CXADR) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCoxsackievirus and Adenovirus Receptor (CXADR)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCAR\u003c\/strong\u003e, \u003cstrong\u003eCAR4\/6\u003c\/strong\u003e, and \u003cstrong\u003eCoxsackievirus and adenovirus receptor\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952553259373,"sku":"E5123Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5123Hu.jpg?v=1769146644"},{"product_id":"human-fibronectin-type-iii-domain-containing-protein-3b-fndc3b-elisa-kit-bhe12106658","title":"Human Fibronectin Type Iii Domain-containing Protein 3B, FNDC3B ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eFibronectin Type Iii Domain-containing Protein 3B (FNDC3B)\u003c\/strong\u003e is a molecular target commonly studied in signal transduction research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q53EP0\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Fibronectin Type Iii Domain-containing Protein 3B (FNDC3B) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Fibronectin Type Iii Domain-containing Protein 3B (FNDC3B) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eFibronectin Type Iii Domain-containing Protein 3B (FNDC3B) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Fibronectin Type Iii Domain-containing Protein 3B (FNDC3B) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eFibronectin Type Iii Domain-containing Protein 3B (FNDC3B)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eFactor for adipocyte differentiation 104\u003c\/strong\u003e, \u003cstrong\u003eFAD104\u003c\/strong\u003e, and \u003cstrong\u003eFibronectin type III domain-containing protein 3B\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952567021933,"sku":"E5295Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5295Hu.jpg?v=1769146702"},{"product_id":"human-hepatitis-a-virus-cellular-receptor-2-havcr2-elisa-kit-bhe12106753","title":"Human Hepatitis A Virus Cellular Receptor 2, HAVCR2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHepatitis A Virus Cellular Receptor 2 (HAVCR2)\u003c\/strong\u003e is a molecular target commonly studied in microbiology research. Receptors mediate cellular responses to ligands and translate extracellular cues into intracellular signaling programs.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q8TDQ0\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Hepatitis A Virus Cellular Receptor 2 (HAVCR2) is frequently examined in relation to infection and host defense, barrier and mucosal immunity, and host–microbe interactions. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Hepatitis A Virus Cellular Receptor 2 (HAVCR2) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eHepatitis A Virus Cellular Receptor 2 (HAVCR2) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Hepatitis A Virus Cellular Receptor 2 (HAVCR2) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHepatitis A Virus Cellular Receptor 2 (HAVCR2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD366\u003c\/strong\u003e, \u003cstrong\u003eHAVCR 2\u003c\/strong\u003e, and \u003cstrong\u003eHAVCR2\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952573706605,"sku":"E5390Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5390Hu.jpg?v=1769146728"},{"product_id":"human-interleukin-27-subunit-beta-ebi3-elisa-kit-bhe12106882","title":"Human Interleukin-27 Subunit Beta, EBI3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInterleukin-27 Subunit Beta (EBI3)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. 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Reported regulation may involve transcriptional control as well as post-translational processes that influence stability, localization, processing, or secretion.\u003c\/p\u003e\u003ch2\u003eResearch and disease relevance\u003c\/h2\u003e\u003cp\u003eInterleukin-27 Subunit Beta (EBI3) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Interleukin-27 Subunit Beta (EBI3) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInterleukin-27 Subunit Beta (EBI3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eEBI 3\u003c\/strong\u003e, \u003cstrong\u003eEBI3\u003c\/strong\u003e, and \u003cstrong\u003eEBV-induced gene 3 protein\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952581210477,"sku":"E5520Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5520Hu.jpg?v=1769146772"},{"product_id":"human-protein-memo1-memo1-elisa-kit-bhe12107352","title":"Human Protein Memo1, MEMO1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eProtein Memo1 (MEMO1)\u003c\/strong\u003e is a molecular target commonly studied in life science research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q9Y316\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Protein Memo1 (MEMO1) is frequently examined in relation to mechanistic biology studies, biomarker-focused profiling, and disease-model research. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Protein Memo1 (MEMO1) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. 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Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952596939117,"sku":"E5990Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5990Hu.jpg?v=1769146878"}],"url":"https:\/\/www.ebiohippo.com\/collections\/rt-infectious-disease-elisa-kits.oembed?page=10","provider":"BioHippo","version":"1.0","type":"link"}