{"title":"Cardiac Disease \u0026 Fibrosis","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":"a7r5-cell-bhc11101218","title":"A7r5 cell","description":"Derived from the smooth muscle of the embryonic thoracic aorta in a BDIx rat, the A7r5 cell line is extensively employed in cardiovascular research. These fibroblast-like cells display a unique flat ribbon-like morphology that transitions into parallel arrays of spindle-shaped cells as they differentiate. This distinct structural adaptation facilitates the study of cellular dynamics and morphology under various physiological conditions. During the stationary phase of their growth cycle, A7r5 cells exhibit a significant increase in the activities of myokinase and creatine phosphokinase (CPK), enzymes critical in cellular energy transfer and metabolism.\n\nThe synthesis of a specific muscle type CPK isoenzyme upon cessation of cell division in A7r5 cells provides a valuable model for investigating molecular mechanisms underlying muscle development and differentiation. This cell line has been instrumental in exploring the effects of angiotensin II on vascular oxidative stress, offering insights into how this hormone influences cardiovascular physiology. Additionally, A7r5 cells have been used to study the inhibitory effects of phospholipase A2 (PLA2) on lipid droplet formation, further highlighting their utility in cardiovascular research. These applications underscore the A7r5 cell line's versatility and its pivotal role in elucidating critical pathways and potential therapeutic targets in cardiovascular disease studies.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101218\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950196683117,"sku":"305198","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/A7r5_20P1_20305198_2010x01_20070223_1920x1920_6218df02-60aa-420d-bff6-2fa9f7bc8e10.jpg?v=1769068942"},{"product_id":"ac16-cardiomyocyte-cell-line-cell-bhc11101343","title":"AC16 Cardiomyocyte Cell Line cell","description":"The AC16 cell line, derived from human ventricular cells fused with SV40-transformed, showcases characteristics typical of cardiomyocytes, including the expression of transcription factors such as GATA4, MYCD, NFATc4, and contractile proteins like alpha- and beta-myosin heavy chain. AC16 cells also express gap junction proteins connexin-43 and connexin-40, with functional gap junctions confirmed by dye-coupling studies, underscoring their utility in cardiomyocyte research. When the SV40 oncogene is silenced, AC16 transitions towards a more differentiated state, marked by the expression of BMP2, indicative of cardiac differentiation and developmental regulation.\nIn general, scientists employ various techniques, including stem cell differentiation, animal models, molecular analysis, and biomarker discovery, to advance knowledge and potential therapies for heart-related conditions. The involvement of mitogen and senescence pathways, along with thymidine kinase induction, further elucidates the complex nature of human cardiomyocytes and their response to pathological conditions.\nThe AC16 human cardiomyocyte cell line's ability to mimic the behavior of mature cardiomyocytes makes it a valuable model for cardiac research. It closely resembles the genetic makeup of primary cardiomyocytes, allowing for studies on cardiac development, pathology, and the implications of histone loss in vitro, however, the cardiomyocyte behavior and genetic complexity might not fully match that of primary or stem cell-derived cardiomyocytes. In the context of toxicology and cardiovascular disease research, AC16 cells serve as a vital tool for understanding cardiomyocyte development, inflammation, injury, regeneration, and toxicological effects.\nThe unique properties of the AC16 human cardiomyocyte cell line, including its response to developmental cues and the ability to simulate the physiological conditions of human cardiomyocytes, make it an indispensable asset in the quest to unravel the mysteries of heart diseases and devise novel therapeutic interventions.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101343\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950196846957,"sku":"305215","price":650.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AC-16_20_286_29_1920x1920_e6e62d0d-aa27-4ae5-ad60-bb0d430322f1.jpg?v=1769068943"},{"product_id":"ea-hy926-cell-bhc11101303","title":"EA.hy926 cell","description":"EA.hy926 cells, are a somatic hybrid cell line widely used in cardiovascular disease research. They are employed in studying various aspects of endothelial cell functions related to angiogenesis, homeostasis\/thrombosis, blood pressure regulation, and inflammation. \nThe cytoplasmic distribution of Weibel-Palade bodies and tissue-specific organelles in EA.hy926 cells, as observed through electron photomicrographs, reflects their differentiated endothelial cell functions. One of the critical advantages of EA.hy926 cells is their ability to undergo more than 100 population doublings (PDLs) while maintaining their cellular properties. \nThis longevity ensures a sustainable and consistent cell source for long-term experiments and investigations. With a doubling time of 12 hours, these cells exhibit rapid proliferation, facilitating experimental workflows and enabling efficient generation of cell quantities required for large-scale studies. \nEA.hy926 cells have proven to be a game-changer in cardiovascular research, particularly in the purification of endothelin converting enzyme (ECE). Traditionally, obtaining primary endothelial cells in significant quantities has been challenging, hindering the sanctification of ECE. \nHowever, EA.hy926 cells, derived from transformed human umbilical vein endothelial cells, have emerged as a reliable alternative for studying ECE activity. This breakthrough has opened up new possibilities for investigating the roles of ECE in cardiovascular diseases and developing potential therapeutic interventions.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101303\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950203302253,"sku":"305034","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/EA.hy926_20P0_20305034-M_2020x01_2010102022_1920x1920_cb878c54-7cba-41ff-a196-f3bcfd898d3a.jpg?v=1769069013"},{"product_id":"eoma-cell-bhc11101463","title":"EOMA cell","description":"The EOMA cell line, also known as EOMA endothelial cells, is derived from a spontaneously arising hemangioendothelioma in a mouse. This cell line is extensively used in research to study angiogenesis, the process of new blood vessel formation, which is critical in both normal physiological processes and in pathological conditions such as cancer, diabetic retinopathy, and rheumatoid arthritis. EOMA cells are characterized by their endothelial origin, displaying properties typical of endothelial cells, including the formation of capillary-like structures in vitro.\nResearchers utilize the EOMA cell line to investigate the molecular and cellular mechanisms underlying angiogenesis. This includes studies on the role of various growth factors, signaling pathways, and the extracellular matrix in endothelial cell proliferation, migration, and tube formation. EOMA cells are particularly valuable in evaluating the effects of anti-angiogenic compounds, which are used in the treatment of cancer and other diseases involving abnormal blood vessel growth. These cells are also used in gene expression studies and in the development of therapeutic strategies targeting angiogenesis.\nIn addition to angiogenesis research, EOMA cells serve as a model for studying hemangioendothelioma, a rare vascular tumor, providing insights into tumor biology and the identification of potential therapeutic targets. By offering a reliable and reproducible in vitro system, the EOMA cell line significantly contributes to the understanding of vascular biology and the development of treatments for angiogenesis-related diseases.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101463\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950203662701,"sku":"305241","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/EOMA_20P5_2010x01_20300824_ch00_1920x1920_5965758d-858a-4fbe-8e0a-c5b72637f586.jpg?v=1769069017"},{"product_id":"h9c2-2-1-cell-bhc11101247","title":"H9c2(2-1) cell","description":"\u003cp\u003eH9c2(2-1) cells, derived from the ventricular myoblasts of embryonic BD1X rat hearts, are a subclone of the original H9 cell line established in the early 1990s. These cells are immortalized myoblasts that are commonly used in vitro to study cardiac metabolism, physiology, and pathophysiology, including myocardial ischemia, hypertrophy, and apoptosis mechanisms.\u003cbr\u003e\nPhenotypically, H9c2 cells exhibit characteristics of skeletal muscle but retain the ability to adopt a cardiac muscle phenotype under specific experimental conditions, such as differentiation induced by retinoic acid or other agents. This flexibility makes them a valuable model for investigating cardiac muscle behavior in response to various physiological and pharmacological stimuli. Genetically, H9c2 cells are diploid, facilitating their use in genetic studies, where maintaining a stable karyotype is crucial. \u003cbr\u003e\nResearch employing H9c2(2-1) cells has contributed significantly to understanding cellular responses to oxidative stress, mitochondrial dysfunction, and the protective roles of various pharmacological agents against cardiotoxicity. This cell line remains a cornerstone in cardiomyocyte-related research, offering a reproducible, controlled model to elucidate the complex biological and molecular mechanisms underlying cardiac function and diseases.\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950204547437,"sku":"305203","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/H9c2_202-1_20WaKo_20P1_2020x01_20030425_ch00_1920x1920_0d97d13d-22f0-4219-90cc-2679d94cc037.jpg?v=1769069030"},{"product_id":"huvec-single-donor-cell-bhc11100300","title":"HUVEC, single donor cell","description":"Human Umbilical Vein Endothelial Cells (HUVECs) are primary cells derived from the endothelial layer of veins in the human umbilical cord. HUVECs are a pivotal model in vascular biology research due to their capacity to closely replicate many aspects of endothelial cell biology in vivo. These cells are extensively utilized to study endothelial functions, including angiogenesis, inflammation, and mechanisms of vascular permeability.\nHUVECs display several critical endothelial markers, such as von Willebrand factor, CD31, and endothelial nitric oxide synthase (eNOS), which affirm their endothelial origin and functionality. They are also capable of forming tube-like structures when cultured on Matrigel, demonstrating their potential for angiogenesis studies.\nThe ability of HUVECs to respond to cytokines and growth factors makes them an excellent system for exploring cellular responses associated with vascular diseases such as atherosclerosis, hypertension, and thrombosis. Moreover, their reaction to shear stress can be studied in dynamic flow models, providing insights into the effects of blood flow on endothelial behavior.\nIn pharmacological research, HUVECs are commonly employed to evaluate the efficacy and toxicity of vascular-targeting agents. Their straightforward isolation and the relative ease of culturing make them a valuable tool in both academic research and pharmaceutical development. These attributes underline the significance of HUVECs in advancing our understanding of vascular health and disease.\n\u003cp style=\"display:none\"\u003eSKU:BHC11100300\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950212346221,"sku":"300605","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/huvec-_283_29_1920x1920_f3ea9a64-8a01-4cdf-b57c-8ec589bf7854.jpg?v=1769069111"},{"product_id":"ms1-cell-bhc11101362","title":"MS1 cell","description":"The MS1 cell line retains many properties characteristic of endothelial cells, including the uptake of acetylated low-density lipoprotein (acLDL) and the expression of Factor VIII-related antigen and VEGF receptor. These features make MS1 cells particularly valuable for studying endothelial cell functions and their role in vascular biology. The uptake of acLDL is a key function of endothelial cells, involved in lipid metabolism and atherogenesis, while the expression of Factor VIII-related antigen is indicative of their endothelial origin and involvement in coagulation processes. The presence of VEGF receptors further highlights their utility in angiogenesis research, as these receptors play a critical role in mediating the effects of VEGF in promoting blood vessel formation and maintenance.\n\nMoreover, the MS1 cell line expresses high levels of the tissue inhibitor of bioreactive matrix metalloproteinases (TIMPs), which regulates the activity of matrix metalloproteinases (MMPs). This expression pattern makes the behavior of MS1 cells resemble that of normal macrophages from some commonly used strains of mice. TIMPs are crucial in maintaining extracellular matrix homeostasis by inhibiting MMPs, which are involved in tissue remodeling and degradation. This unique characteristic of MS1 cells provides a dual model for studying both endothelial and macrophage-like behaviors, offering a broader understanding of vascular biology, tissue repair, and inflammatory responses. As such, the MS1 cell line is an invaluable tool for researchers investigating the intricate interactions between endothelial cells, macrophages, and their microenvironment.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101362\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950217326957,"sku":"305162","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MS1_20P1_20305172-M_2020x01_20171022_1920x1920_afff3259-b31e-4295-a4a7-7711849c5513.jpg?v=1769069158"},{"product_id":"piec-cell-bhc11101305","title":"PIEC cell","description":"\u003cp style=\"display:none\"\u003eSKU:BHC11101305\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950221357421,"sku":"305213","price":800.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/piec-_286_29_1920x1920_718d2513-20b3-4380-839a-f10743d62f10.jpg?v=1769069194"},{"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"}],"url":"https:\/\/www.ebiohippo.com\/collections\/rc-cardiovascular-cardiac-disease-fibrosis.oembed","provider":"BioHippo","version":"1.0","type":"link"}