{"title":"Cardiac Disease \u0026 Fibrosis — ELISA Kits","description":null,"products":[{"product_id":"human-tryptase-tpsab1-b2-elisa-kit-ez-set-diy-antibody-pairs-bhe21000018","title":"Human Tryptase\/TPSAB1,B2 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Tryptase beta-2, Tryptase-2, 3.4.21.59, Tryptase II, TPSB2, TPS2.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eTryptase\/TPSAB1,B2\u003c\/strong\u003e (\u003cstrong\u003eTryptase\/TPSAB1,B2\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\u003eCardiovascular\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":52920801788269,"sku":"EZ0898","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0898_1_1321d91b-3b0c-4a08-a9d9-942dbf772d01.png?v=1769077474"},{"product_id":"mouse-il-2-interleukin-2-elisa-kit-ez-set-diy-antibody-pairs-bhe21000133","title":"Mouse IL-2\/Interleukin-2 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eMouse \u003cstrong\u003eIL-2\/Interleukin-2\u003c\/strong\u003e (\u003cstrong\u003eIl2\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\u003eCardiovascular\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":52920805589357,"sku":"EZ0398","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0398_b717fdfd-be64-4d23-8667-b222aa79c1a0.png?v=1769077520"},{"product_id":"mouse-resistin-picokine-quick-elisa-kit-bhe21000157","title":"Mouse Resistin PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Resistin, isoform CRA_a, Retn, Xcp4, mCG_13014.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eResistin\u003c\/strong\u003e (\u003cstrong\u003eRetn\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\u003eCardiovascular\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":52920806343021,"sku":"FEK0582","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0582-ELISA-mouse-resistin-picokine-elisa-kit_a01e69dd-c3b0-4778-9421-ceb707145b68.png?v=1769077530"},{"product_id":"human-kallistatin-serpina4-picokine-quick-elisa-kit-bhe21000237","title":"Human Kallistatin\/Serpina4 PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eKallistatin\/Serpina4\u003c\/strong\u003e (\u003cstrong\u003eCST3\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\u003eCardiovascular\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":52920809226605,"sku":"FEK0836","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0836.png?v=1769077565"},{"product_id":"mouse-endostatin-picokine-quick-elisa-kit-bhe21000335","title":"Mouse Endostatin PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eMouse \u003cstrong\u003eEndostatin\u003c\/strong\u003e (\u003cstrong\u003eCol18a1\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\u003eImmunology \u0026amp; Inflammation\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":52920812568941,"sku":"FEK1376","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek1376.png?v=1769077627"},{"product_id":"rat-endostatin-picokine-quick-elisa-kit-bhe21000336","title":"Rat Endostatin PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eRat \u003cstrong\u003eEndostatin\u003c\/strong\u003e (\u003cstrong\u003eCol18a1\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\u003eImmunology \u0026amp; Inflammation\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":52920812601709,"sku":"FEK1377","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek1377_1.png?v=1769077628"},{"product_id":"human-gm-csf-elisa-kit-picokine-bhe21000377","title":"Human GM-CSF ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Granulocyte-macrophage colony-stimulating factor, GM-CSF, Colony-stimulating factor, CSF, Molgramostin, Sargramostim, CSF2, GMCSF.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eGM-CSF\u003c\/strong\u003e (\u003cstrong\u003eCSF2\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\u003eCardiovascular\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":52920813945197,"sku":"EK0364","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0364.png?v=1769077653"},{"product_id":"human-gp130-il6st-elisa-kit-picokine-bhe21000380","title":"Human Gp130\/IL6ST ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interleukin-6 receptor subunit beta, IL-6 receptor subunit beta, IL-6R subunit beta, IL-6R-beta, IL-6RB, CDw130, Interleukin-6 signal transducer, Membrane glycoprotein 130.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eGp130\/IL6ST\u003c\/strong\u003e (\u003cstrong\u003eIL6ST\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\u003eCardiovascular\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":52920814109037,"sku":"EK0367","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0367.jpg?v=1769077654"},{"product_id":"human-ccl17-tarc-elisa-kit-picokine-bhe21000564","title":"Human CCL17\/TARC ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-C motif chemokine 17, CC chemokine TARC, Small-inducible cytokine A17, Thymus and activation-regulated chemokine, CCL17, SCYA17, TARC.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCCL17\/TARC\u003c\/strong\u003e (\u003cstrong\u003eCCL17\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\u003eCardiovascular\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":52920820597101,"sku":"EK0684","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0684_1.png?v=1769077745"},{"product_id":"human-klk5-kallikrein-5-elisa-kit-picokine-bhe21000634","title":"Human KLK5\/Kallikrein-5 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Kallikrein-5, 3.4.21.-, Kallikrein-like protein 2, KLK-L2, Stratum corneum tryptic enzyme, KLK5, SCTE, UNQ570\/PRO1132.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eKLK5\/Kallikrein-5\u003c\/strong\u003e (\u003cstrong\u003eKLK5\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\u003eCardiovascular\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":52920822923629,"sku":"EK0817","price":399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0817_01cb5cef-e439-46a4-abc9-5e87c88300d4.jpg?v=1769077776"},{"product_id":"human-rage-elisa-kit-picokine-bhe21000639","title":"Human Rage ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e cDNA FLJ56412, highly similar to Advanced glycosylation end product-specific receptor.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eRage\u003c\/strong\u003e (\u003cstrong\u003eAGER\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\u003eCardiovascular\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":52920823218541,"sku":"EK0827","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0827_d690980a-e331-4474-87a9-b395377f404e.jpg?v=1769077778"},{"product_id":"human-endostatin-elisa-kit-picokine-bhe21000678","title":"Human Endostatin ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Collagen alpha-1 (XVIII) chain, Endostatin, COL18A1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eEndostatin\u003c\/strong\u003e (\u003cstrong\u003eCOL18A1\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. 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":52920824529261,"sku":"EK0886","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0886.png?v=1769077799"},{"product_id":"human-il-31-interleukin-31-elisa-kit-picokine-bhe21000742","title":"Human IL-31\/Interleukin-31 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interleukin-31, IL-31, IL31.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eIL-31\/Interleukin-31\u003c\/strong\u003e (\u003cstrong\u003eIL31\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\u003eCardiovascular\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":52920827085165,"sku":"EK0979","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0979_1.png?v=1769077827"},{"product_id":"human-periostin-osf2-elisa-kit-picokine-bhe21000748","title":"Human Periostin\/OSF2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Periostin, PN, Osteoblast-specific factor 2, OSF-2, POSTN, OSF2.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003ePeriostin\/OSF2\u003c\/strong\u003e (\u003cstrong\u003ePOSTN\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":52920827773293,"sku":"EK0985","price":399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0985_3.png?v=1769077830"},{"product_id":"mouse-periostin-osf2-elisa-kit-picokine-bhe21000807","title":"Mouse Periostin\/OSF2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Periostin, PN, Osteoblast-specific factor 2, OSF-2, Postn, Osf2.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003ePeriostin\/OSF2\u003c\/strong\u003e (\u003cstrong\u003ePOSTN\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":52920831115629,"sku":"EK1187","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1187.jpg?v=1769077864"},{"product_id":"human-il-17c-elisa-kit-picokine-bhe21000907","title":"Human IL-17C ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interleukin-17C, IL-17C, Cytokine CX2, IL17C, UNQ561\/PRO1122.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eIL-17C\u003c\/strong\u003e (\u003cstrong\u003eIL17C\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\u003eCardiovascular\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":52920834490733,"sku":"EK0789","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0789_9b9fed8f-6978-45ee-a71c-0bc61e324ffb.jpg?v=1769077924"},{"product_id":"mouse-endostatin-elisa-kit-picokine-bhe21000965","title":"Mouse Endostatin ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Collagen alpha-1 (XVIII) chain, Endostatin, Col18a1.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eEndostatin\u003c\/strong\u003e (\u003cstrong\u003eCOL18A1\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\u003eImmunology \u0026amp; Inflammation\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":52920836686189,"sku":"EK1376","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1376.png?v=1769077956"},{"product_id":"rat-endostatin-elisa-kit-picokine-bhe21001132","title":"Rat Endostatin ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Collagen type XVIII, alpha (I) chain, Col18a1.\u003c\/p\u003e\u003cp\u003eRat \u003cstrong\u003eEndostatin\u003c\/strong\u003e (\u003cstrong\u003eCol18a1\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\u003eCell Signaling\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":52920854479213,"sku":"EK1377","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1377_1.png?v=1769078054"},{"product_id":"human-nt-proanp-nppa-elisa-kit-picokine-bhe21001334","title":"Human NT-proANP\/NPPA ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Natriuretic peptides A, CDD-ANF, Cardiodilatin, CDD, Cardiodilatin-related peptide, CDP, Prepronatriodilatin, Atrial natriuretic factor.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eNT-proANP\/NPPA\u003c\/strong\u003e (\u003cstrong\u003eNPPA\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. 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":52920871223661,"sku":"EK1627","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1627.png?v=1769078163"},{"product_id":"human-pro-collagen-i-alpha-1-col1a1-elisa-kit-picokine-bhe21001357","title":"Human Pro-collagen I alpha 1\/COL1A1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Collagen alpha-1 (I) chain, Alpha-1 type I collagen, COL1A1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003ePro-collagen I alpha 1\/COL1A1\u003c\/strong\u003e (\u003cstrong\u003eCOL1A1\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. 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":52920872468845,"sku":"EK1692","price":450.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1692_1.png?v=1769078173"},{"product_id":"rat-cpe-carboxypeptidase-e-elisa-kit-picokine-bhe21001434","title":"Rat CPE\/Carboxypeptidase E ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Carboxypeptidase E, CPE, Carboxypeptidase H, CPH, Enkephalin convertase, Prohormone-processing carboxypeptidase.\u003c\/p\u003e\u003cp\u003eRat \u003cstrong\u003eCPE\/Carboxypeptidase E\u003c\/strong\u003e (\u003cstrong\u003eCpe\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\u003eCardiovascular\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":52920875909485,"sku":"EK1889","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1889_02eb09f3-0e2f-4cf1-ad52-d3741164b09f.png?v=1769078215"},{"product_id":"human-p4hb-elisa-kit-picokine-bhe21001435","title":"Human P4HB ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Protein disulfide-isomerase, PDI, Cellular thyroid hormone-binding protein, Prolyl 4-hydroxylase subunit beta, p55, P4HB, ERBA2L, PDIA1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eP4HB\u003c\/strong\u003e (\u003cstrong\u003eP4HB\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\u003eCardiovascular\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":52920875975021,"sku":"EK1890","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1890.jpg?v=1769078215"},{"product_id":"rat-smoc1-elisa-kit-picokine-bhe21001454","title":"Rat SMOC1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e SPARC-related modular calcium binding protein 1, SPARC-related modular calcium-binding 1, Smoc1.\u003c\/p\u003e\u003cp\u003eRat \u003cstrong\u003eSMOC1\u003c\/strong\u003e (\u003cstrong\u003eSmoc1\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\u003eCardiovascular\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":52920876630381,"sku":"EK1937","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1937_1.png?v=1769078227"},{"product_id":"human-ctgf-elisa-kit-picokine-bhe21001694","title":"Human CTGF ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eCTGF\u003c\/strong\u003e (\u003cstrong\u003eCCN2\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. Growth factors and morphogens regulate cell proliferation, differentiation, survival, and tissue remodeling by engaging surface receptors and activating downstream signaling cascades. Their activity is often context-dependent, shaped by receptor availability, extracellular matrix binding, and feedback regulation.\u003c\/p\u003e\u003ch2\u003eBiological function and mechanism\u003c\/h2\u003e\u003cp\u003eIn many systems, growth-factor signaling integrates environmental cues with developmental or repair programs. Downstream pathways frequently include kinase signaling modules and transcriptional responses that alter cell-cycle control, migration, or lineage specification. Because these signals can be transient, quantitative measurements are useful for understanding timing and dose dependence.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway engagement:\u003c\/strong\u003e Concentration changes can indicate activation of growth, survival, or differentiation programs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTissue remodeling:\u003c\/strong\u003e Levels may relate to repair, fibrosis, angiogenesis, or developmental patterning in model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic studies:\u003c\/strong\u003e Tracking abundance alongside downstream markers helps connect ligand availability to signaling output.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eAltered growth-factor signaling has been reported across diverse conditions, including cancer biology, cardiovascular remodeling, wound repair, and metabolic dysfunction. For research interpretation, consider whether the measured form represents active ligand, bound complexes, or processed fragments, as these can influence apparent levels.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"96 wells\/kit, with removable strips.","offer_id":52920893473133,"sku":"EK2149","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2149.png?v=1769078351"},{"product_id":"human-pear1-elisa-kit-picokine-bhe21001815","title":"Human PEAR1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003ePEAR1\u003c\/strong\u003e (\u003cstrong\u003ePEAR1\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\u003eCardiovascular\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":52920899305837,"sku":"EK2266","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2266.jpg?v=1769078409"},{"product_id":"human-col2a1-elisa-kit-picokine-bhe21001926","title":"Human COL2A1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Collagen alpha-1 (II) chain, Alpha-1 type II collagen, Chondrocalcin.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCOL2A1\u003c\/strong\u003e (\u003cstrong\u003eCOL2A1\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\u003eImmunology \u0026amp; Inflammation\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":52920905236845,"sku":"EK2307","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2307.jpg?v=1769078466"},{"product_id":"human-bmp-2-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002003","title":"Human BMP-2 EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Bone morphogenetic protein 2, BMP2.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eBMP-2\u003c\/strong\u003e (\u003cstrong\u003eBMP2\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\u003eCardiovascular\u003c\/strong\u003e research contexts. Growth factors and morphogens regulate cell proliferation, differentiation, survival, and tissue remodeling by engaging surface receptors and activating downstream signaling cascades. Their activity is often context-dependent, shaped by receptor availability, extracellular matrix binding, and feedback regulation.\u003c\/p\u003e\u003ch2\u003eBiological function and mechanism\u003c\/h2\u003e\u003cp\u003eIn many systems, growth-factor signaling integrates environmental cues with developmental or repair programs. Downstream pathways frequently include kinase signaling modules and transcriptional responses that alter cell-cycle control, migration, or lineage specification. Because these signals can be transient, quantitative measurements are useful for understanding timing and dose dependence.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway engagement:\u003c\/strong\u003e Concentration changes can indicate activation of growth, survival, or differentiation programs.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eTissue remodeling:\u003c\/strong\u003e Levels may relate to repair, fibrosis, angiogenesis, or developmental patterning in model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMechanistic studies:\u003c\/strong\u003e Tracking abundance alongside downstream markers helps connect ligand availability to signaling output.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eAltered growth-factor signaling has been reported across diverse conditions, including cancer biology, cardiovascular remodeling, wound repair, and metabolic dysfunction. For research interpretation, consider whether the measured form represents active ligand, bound complexes, or processed fragments, as these can influence apparent levels.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"5 plates\/kit","offer_id":52920907923821,"sku":"EZ0311","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0311-2_1-ELISA-human-bmp-2-ez-set-elisa-kit-diy-antibody-pairs.jpg?v=1769096414"},{"product_id":"bovine-troponin-t-slow-skeletal-muscle-tnnt1-elisa-kit-bhe12100101","title":"Bovine Troponin T, Slow Skeletal Muscle, TNNT1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTroponin T, Slow Skeletal Muscle (TNNT1)\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: Q8MKH6\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Troponin T, Slow Skeletal Muscle (TNNT1) 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 Troponin T, Slow Skeletal Muscle (TNNT1) 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\u003eTroponin T, Slow Skeletal Muscle (TNNT1) 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 Troponin T, Slow Skeletal Muscle (TNNT1) 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\u003eTroponin T, Slow Skeletal Muscle (TNNT1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eSlow skeletal muscle troponin T\u003c\/strong\u003e, \u003cstrong\u003esTnT\u003c\/strong\u003e, and \u003cstrong\u003eTNNT 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":52952445321581,"sku":"E0089Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0089Bo.jpg?v=1769145919"},{"product_id":"bovine-atrial-natriuretic-peptide-receptor-2-npr2-elisa-kit-bhe12100143","title":"Bovine Atrial Natriuretic Peptide Receptor 2, NPR2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide Receptor 2 (NPR2)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling 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: P46197\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide Receptor 2 (NPR2) 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 Atrial Natriuretic Peptide Receptor 2 (NPR2) 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\u003eAtrial Natriuretic Peptide Receptor 2 (NPR2) 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 Atrial Natriuretic Peptide Receptor 2 (NPR2) 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\u003eAtrial Natriuretic Peptide Receptor 2 (NPR2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eANP-B\u003c\/strong\u003e, \u003cstrong\u003eANPR-B\u003c\/strong\u003e, and \u003cstrong\u003eAtrial natriuretic Peptide receptor 2\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":52952445583725,"sku":"E0132Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0132Bo.jpg?v=1769145921"},{"product_id":"bovine-atrial-natriuretic-peptide-receptor-3-npr3-elisa-kit-bhe12100144","title":"Bovine Atrial Natriuretic Peptide Receptor 3, NPR3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide Receptor 3 (NPR3)\u003c\/strong\u003e is a molecular target commonly studied in 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: P10730\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide Receptor 3 (NPR3) 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 Atrial Natriuretic Peptide Receptor 3 (NPR3) 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\u003eAtrial Natriuretic Peptide Receptor 3 (NPR3) 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 Atrial Natriuretic Peptide Receptor 3 (NPR3) 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\u003eAtrial Natriuretic Peptide Receptor 3 (NPR3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eANP-C\u003c\/strong\u003e, \u003cstrong\u003eANPR-C\u003c\/strong\u003e, and \u003cstrong\u003eAtrial natriuretic Peptide clearance 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":52952445616493,"sku":"E0133Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0133Bo.jpg?v=1769145921"},{"product_id":"bovine-myoglobin-mb-elisa-kit-bhe12100531","title":"Bovine Myoglobin, MB ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMyoglobin (MB)\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: P02192\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Myoglobin (MB) 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 Myoglobin (MB) 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\u003eMyoglobin (MB) 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 Myoglobin (MB) 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\u003eMyoglobin (MB)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eGLNG\u003c\/strong\u003e, \u003cstrong\u003eMB\u003c\/strong\u003e, and \u003cstrong\u003eMyoglobin\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":52952449155437,"sku":"E2237Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2237Bo.jpg?v=1769145953"},{"product_id":"canine-vascular-cell-adhesion-molecule-1-vcam-1-elisa-kit-bhe12100573","title":"Canine Vascular Cell Adhesion Molecule 1, VCAM-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eVascular Cell Adhesion Molecule 1 (VCAM1)\u003c\/strong\u003e is a molecular target commonly studied in cancer 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: Q28260\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Vascular Cell Adhesion Molecule 1 (VCAM1) is frequently examined in relation to tumor microenvironment biology, cell proliferation and apoptosis, and angiogenesis and immune-oncology mechanisms. 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 Vascular Cell Adhesion Molecule 1 (VCAM1) 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\u003eVascular Cell Adhesion Molecule 1 (VCAM1) 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 Vascular Cell Adhesion Molecule 1 (VCAM1) 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\u003eVascular Cell Adhesion Molecule 1 (VCAM1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD106\u003c\/strong\u003e, \u003cstrong\u003eVascular cell adhesion protein 1\u003c\/strong\u003e, and \u003cstrong\u003eVCAM 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":52952449909101,"sku":"E0020Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0020Ca.jpg?v=1769145959"},{"product_id":"chicken-troponin-i-fast-skeletal-muscle-tnni2-elisa-kit-bhe12101006","title":"Chicken Troponin I, Fast Skeletal Muscle, TNNI2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTroponin I, Fast Skeletal Muscle (TNNI2)\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: P68246\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Troponin I, Fast Skeletal Muscle (TNNI2) 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 Troponin I, Fast Skeletal Muscle (TNNI2) 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\u003eTroponin I, Fast Skeletal Muscle (TNNI2) 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 Troponin I, Fast Skeletal Muscle (TNNI2) 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\u003eTroponin I, Fast Skeletal Muscle (TNNI2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eTNNI 2\u003c\/strong\u003e, \u003cstrong\u003eTNNI2\u003c\/strong\u003e, and \u003cstrong\u003eTroponin I, fast skeletal muscle\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":52952452530541,"sku":"E0063Ch-96T","price":498.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0063Ch.jpg?v=1769145982"},{"product_id":"chicken-protein-lysine-6-oxidase-lox-elisa-kit-bhe12101167","title":"Chicken Protein-lysine 6-oxidase, LOX ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eProtein-lysine 6-oxidase (LOX)\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular and metabolism 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: Q05063\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Protein-lysine 6-oxidase (LOX) 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 Protein-lysine 6-oxidase (LOX) 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\u003eProtein-lysine 6-oxidase (LOX) 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 Protein-lysine 6-oxidase (LOX) 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\u003eProtein-lysine 6-oxidase (LOX)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eLOX\u003c\/strong\u003e, \u003cstrong\u003eLysyl oxidase\u003c\/strong\u003e, and \u003cstrong\u003eProtein-lysine 6-oxidase\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":52952453087597,"sku":"E0261Ch-96T","price":498.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0261Ch.jpg?v=1769145986"},{"product_id":"human-vascular-cell-adhesion-molecule-1-vcam-1-elisa-kit-bhe12101923","title":"Human Vascular Cell Adhesion Molecule 1, VCAM-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eVascular Cell Adhesion Molecule 1 (VCAM1)\u003c\/strong\u003e is a molecular target commonly studied in cancer 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: P19320\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Vascular Cell Adhesion Molecule 1 (VCAM1) is frequently examined in relation to tumor microenvironment biology, cell proliferation and apoptosis, and angiogenesis and immune-oncology mechanisms. 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 Vascular Cell Adhesion Molecule 1 (VCAM1) 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\u003eVascular Cell Adhesion Molecule 1 (VCAM1) 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 Vascular Cell Adhesion Molecule 1 (VCAM1) 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\u003eVascular Cell Adhesion Molecule 1 (VCAM1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD106\u003c\/strong\u003e, \u003cstrong\u003eINCAM-100\u003c\/strong\u003e, and \u003cstrong\u003eVascular cell adhesion protein 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":52952457380205,"sku":"E0203Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0203Hu.jpg?v=1769146026"},{"product_id":"human-intercellular-adhesion-molecule-1-icam-1-elisa-kit-bhe12101932","title":"Human Intercellular Adhesion Molecule 1, ICAM-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eIntercellular Adhesion Molecule 1 (ICAM1)\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: P05362\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Intercellular Adhesion Molecule 1 (ICAM1) 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 Intercellular Adhesion Molecule 1 (ICAM1) 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\u003eIntercellular Adhesion Molecule 1 (ICAM1) 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 Intercellular Adhesion Molecule 1 (ICAM1) 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\u003eIntercellular Adhesion Molecule 1 (ICAM1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD54\u003c\/strong\u003e, \u003cstrong\u003eICAM 1\u003c\/strong\u003e, and \u003cstrong\u003eICAM1\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":52952457478509,"sku":"E0212Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0212Hu.jpg?v=1769146027"},{"product_id":"human-angiotensin-converting-enzyme-ace-elisa-kit-bhe12102602","title":"Human Angiotensin Converting Enzyme, ACE ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAngiotensin Converting Enzyme (ACE)\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular, signal transduction, and cell biology 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: P12821\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Angiotensin Converting Enzyme (ACE) 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 Angiotensin Converting Enzyme (ACE) 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 (ACE) 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 (ACE) 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 (ACE)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eACE\u003c\/strong\u003e, \u003cstrong\u003eAngiotensin-converting enzyme\u003c\/strong\u003e, and \u003cstrong\u003eAngiotensin-converting enzyme, soluble form\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":52952463606125,"sku":"E0927Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0927Hu.jpg?v=1769146100"},{"product_id":"human-atrial-natriuretic-peptide-converting-enzyme-corin-elisa-kit-bhe12102700","title":"Human Atrial Natriuretic Peptide-converting Enzyme, CORIN ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide-converting Enzyme (CORIN)\u003c\/strong\u003e is a molecular target commonly studied in cell biology 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: Q9Y5Q5\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide-converting Enzyme (CORIN) 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 Atrial Natriuretic Peptide-converting Enzyme (CORIN) 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\u003eAtrial Natriuretic Peptide-converting Enzyme (CORIN) 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 Atrial Natriuretic Peptide-converting Enzyme (CORIN) 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\u003eAtrial Natriuretic Peptide-converting Enzyme (CORIN)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eATC2\u003c\/strong\u003e, \u003cstrong\u003eAtrial natriuretic Peptide-converting enzyme\u003c\/strong\u003e, and \u003cstrong\u003eAtrial natriuretic Peptide-converting enzyme, 100 kDa soluble fragment]\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":52952464392557,"sku":"E1043Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1043Hu.jpg?v=1769146106"},{"product_id":"human-angiotensinogen-agt-elisa-kit-bhe12102872","title":"Human Angiotensinogen, AGT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAngiotensinogen (AGT)\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: P01019\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Angiotensinogen (AGT) 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 Angiotensinogen (AGT) 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\u003eAngiotensinogen (AGT) 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 Angiotensinogen (AGT) 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\u003eAngiotensinogen (AGT)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAGT\u003c\/strong\u003e, \u003cstrong\u003eAng I\u003c\/strong\u003e, and \u003cstrong\u003eAng II\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":52952467079533,"sku":"E1226Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1226Hu.jpg?v=1769146119"},{"product_id":"human-myoglobin-mb-elisa-kit-bhe12102887","title":"Human Myoglobin, MB ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMYO\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: P02144\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, MYO 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 MYO 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\u003eMYO 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 MYO 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\u003eMYO\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eMYO\u003c\/strong\u003e, \u003cstrong\u003eMyoglobin\u003c\/strong\u003e, and \u003cstrong\u003ePVALB\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":52952467243373,"sku":"E1241Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1241Hu.jpg?v=1769146121"},{"product_id":"human-apelin-receptor-aplnr-elisa-kit-bhe12103333","title":"Human Apelin Receptor, APLNR ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eApelin Receptor (APLNR)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience 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: P35414\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Apelin Receptor (APLNR) 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 Apelin Receptor (APLNR) 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\u003eApelin Receptor (APLNR) 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 Apelin Receptor (APLNR) 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\u003eApelin Receptor (APLNR)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAngiotensin receptor-like 1\u003c\/strong\u003e, \u003cstrong\u003eApelin receptor\u003c\/strong\u003e, and \u003cstrong\u003eAPLNR\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":52952471929197,"sku":"E1754Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1754Hu.jpg?v=1769146152"},{"product_id":"human-troponin-t-cardiac-muscle-tnnt2-elisa-kit-bhe12103825","title":"Human Troponin T, Cardiac Muscle, TNNT2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTroponin T, Cardiac Muscle (TNNT2)\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: P45379\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Troponin T, Cardiac Muscle (TNNT2) 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 Troponin T, Cardiac Muscle (TNNT2) 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\u003eTroponin T, Cardiac Muscle (TNNT2) 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 Troponin T, Cardiac Muscle (TNNT2) 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\u003eTroponin T, Cardiac Muscle (TNNT2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCardiac muscle troponin T\u003c\/strong\u003e, \u003cstrong\u003ecTnT\u003c\/strong\u003e, and \u003cstrong\u003eTNNT 2\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":52952478351725,"sku":"E2285Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2285Hu.jpg?v=1769146206"},{"product_id":"human-troponin-t-slow-skeletal-muscle-tnnt1-elisa-kit-bhe12104665","title":"Human Troponin T, Slow Skeletal Muscle, TNNT1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTroponin T, Slow Skeletal Muscle (TNNT1)\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: P13805\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Troponin T, Slow Skeletal Muscle (TNNT1) 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 Troponin T, Slow Skeletal Muscle (TNNT1) 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\u003eTroponin T, Slow Skeletal Muscle (TNNT1) 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 Troponin T, Slow Skeletal Muscle (TNNT1) 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\u003eTroponin T, Slow Skeletal Muscle (TNNT1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eSlow skeletal muscle troponin T\u003c\/strong\u003e, \u003cstrong\u003esTnT\u003c\/strong\u003e, and \u003cstrong\u003eTNNT 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":52952497258861,"sku":"E3133Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3133Hu.jpg?v=1769146368"},{"product_id":"human-troponin-i-fast-skeletal-muscle-tnni2-elisa-kit-bhe12104667","title":"Human Troponin I, Fast Skeletal Muscle, TNNI2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTroponin I, Fast Skeletal Muscle (TNNI2)\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: P48788\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Troponin I, Fast Skeletal Muscle (TNNI2) 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 Troponin I, Fast Skeletal Muscle (TNNI2) 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\u003eTroponin I, Fast Skeletal Muscle (TNNI2) 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 Troponin I, Fast Skeletal Muscle (TNNI2) 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\u003eTroponin I, Fast Skeletal Muscle (TNNI2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eTNNI 2\u003c\/strong\u003e, \u003cstrong\u003eTNNI2\u003c\/strong\u003e, and \u003cstrong\u003eTroponin I, fast skeletal muscle\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":52952497291629,"sku":"E3135Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3135Hu.jpg?v=1769146368"},{"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-atrial-natriuretic-peptide-receptor-2-npr2-elisa-kit-bhe12104703","title":"Human Atrial Natriuretic Peptide Receptor 2, NPR2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide Receptor 2 (NPR2)\u003c\/strong\u003e is a molecular target commonly studied in epigenetics and nuclear signaling 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: P20594\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide Receptor 2 (NPR2) 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 Atrial Natriuretic Peptide Receptor 2 (NPR2) 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\u003eAtrial Natriuretic Peptide Receptor 2 (NPR2) 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 Atrial Natriuretic Peptide Receptor 2 (NPR2) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. 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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":52952498012525,"sku":"E3174Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3174Hu.jpg?v=1769146376"},{"product_id":"human-atrial-natriuretic-peptide-receptor-1-npr1-elisa-kit-bhe12104704","title":"Human Atrial Natriuretic Peptide Receptor 1, NPR1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide Receptor 1 (NPR1)\u003c\/strong\u003e is a molecular target commonly studied in life science 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: P16066\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide Receptor 1 (NPR1) 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 Atrial Natriuretic Peptide Receptor 1 (NPR1) 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\u003eAtrial Natriuretic Peptide Receptor 1 (NPR1) 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 Atrial Natriuretic Peptide Receptor 1 (NPR1) 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\u003eAtrial Natriuretic Peptide Receptor 1 (NPR1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eANP-A\u003c\/strong\u003e, \u003cstrong\u003eANPR-A\u003c\/strong\u003e, and \u003cstrong\u003eAtrial natriuretic Peptide receptor 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":52952498045293,"sku":"E3175Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3175Hu.jpg?v=1769146377"},{"product_id":"human-atrial-natriuretic-peptide-receptor-3-npr3-elisa-kit-bhe12104705","title":"Human Atrial Natriuretic Peptide Receptor 3, NPR3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAtrial Natriuretic Peptide Receptor 3 (NPR3)\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular and signal transduction 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: P17342\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Atrial Natriuretic Peptide Receptor 3 (NPR3) 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 Atrial Natriuretic Peptide Receptor 3 (NPR3) 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\u003eAtrial Natriuretic Peptide Receptor 3 (NPR3) 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 Atrial Natriuretic Peptide Receptor 3 (NPR3) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. 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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":52952498078061,"sku":"E3176Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3176Hu.jpg?v=1769146377"},{"product_id":"human-periostin-postn-elisa-kit-bhe12104755","title":"Human Periostin, POSTN ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePeriostin (POSTN)\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular 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\u003ePeriostin (POSTN) 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 Periostin (POSTN) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. 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