{"title":"Oxidative Stress \u0026 Antioxidants","description":null,"products":[{"product_id":"human-egf-elisa-kit-ez-set-diy-antibody-pairs-bhe21000004","title":"Human EGF ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Pro-epidermal growth factor, EGF, Epidermal growth factor, Urogastrone.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eEGF\u003c\/strong\u003e (\u003cstrong\u003eEGF\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\u003eOxidative Stress\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":52920801329517,"sku":"EZ0325","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0325.png?v=1769096414"},{"product_id":"mouse-cxcl4-pf4-elisa-kit-ez-set-diy-antibody-pairs-bhe21000011","title":"Mouse CXCL4\/PF4 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Platelet factor 4, PF-4, C-X-C motif chemokine 4, Pf4, Cxcl4, Scyb4.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eCXCL4\/PF4\u003c\/strong\u003e (\u003cstrong\u003ePf4\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\u003eOxidative Stress\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":52920801558893,"sku":"EZ0727","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0727-2-ELISA-mouse-cxcl4-pf4-ez-set-elisa-kit-diy-antibody-pairs.jpg?v=1769077471"},{"product_id":"human-igfbp2-elisa-kit-ez-set-diy-antibody-pairs-bhe21000086","title":"Human IGFBP2 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Insulin-like growth factor-binding protein 2, IBP-2, IGF-binding protein 2, IGFBP-2, IGFBP2, BP2, IBP2.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eIGFBP2\u003c\/strong\u003e (\u003cstrong\u003eIGFBP2\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\u003eOxidative Stress\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":52920804049261,"sku":"EZ0384","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0384_8a316b44-b24b-47f4-9c21-f413683df4f4.png?v=1769077500"},{"product_id":"human-gdnf-glial-derived-neurotrophic-factor-picokine-quick-elisa-kit-bhe21000159","title":"Human GDNF \/ Glial Derived Neurotrophic Factor PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Glial cell line-derived neurotrophic factor, hGDNF, Astrocyte-derived trophic factor, ATF, GDNF.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eGDNF \/ Glial Derived Neurotrophic Factor\u003c\/strong\u003e (\u003cstrong\u003eGDNF\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\u003eOxidative Stress\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":52920806441325,"sku":"FEK0362","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0362_1_35b6bd92-5091-416e-a01e-26e6b6a4b7df.png?v=1769077531"},{"product_id":"human-apoe-picokine-quick-elisa-kit-bhe21000272","title":"Human APOE PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eAPOE\u003c\/strong\u003e (\u003cstrong\u003eAPOE\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\u003eOxidative Stress\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":52920810439021,"sku":"FEK1455","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek1455_b7d822a3-21bf-499a-a647-0705de8bdfbf.png?v=1769077587"},{"product_id":"mouse-relaxin-1-elisa-kit-picokine-bhe21000841","title":"Mouse Relaxin 1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Prorelaxin 1, Relaxin B chain, Relaxin A chain, Rln1, Rln, Rlx.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eRelaxin 1\u003c\/strong\u003e (\u003cstrong\u003eRLN1\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\u003eOxidative Stress\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":52920832229741,"sku":"EK1231","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1231.jpg?v=1769077887"},{"product_id":"human-spink1-tati-elisa-kit-picokine-bhe21000846","title":"Human SPINK1\/TATI ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Pancreatic secretory trypsin inhibitor, Serine protease inhibitor Kazal-type 1, Tumor-associated trypsin inhibitor, TATI, SPINK1, PSTI.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eSPINK1\/TATI\u003c\/strong\u003e (\u003cstrong\u003eSPINK1\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\u003eOxidative Stress\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":52920832393581,"sku":"EK1241","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1241.png?v=1769077890"},{"product_id":"human-thioredoxin-elisa-kit-picokine-bhe21000854","title":"Human Thioredoxin ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Thioredoxin, Trx, ATL-derived factor, ADF, Surface-associated sulphydryl protein, SASP, TXN, TRDX.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eThioredoxin\u003c\/strong\u003e (\u003cstrong\u003eTXN\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\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":52920832655725,"sku":"EK1254","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1254_1.png?v=1769077893"},{"product_id":"human-ho-1-hmox1-hsp32-elisa-kit-picokine-bhe21001013","title":"Human HO-1\/HMOX1\/HSP32 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Heme oxygenase 1, HO-1, 1.14.99.3, HMOX1, HO, HO1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eHO-1\/HMOX1\/HSP32\u003c\/strong\u003e (\u003cstrong\u003eHMOX1\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\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":52920840978797,"sku":"EK0888","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0888_cb1c0363-0726-467e-b3da-d6c419c87a9f.jpg?v=1769077986"},{"product_id":"human-prdx2-peroxiredoxin-2-elisa-kit-picokine-bhe21001259","title":"Human PRDX2\/Peroxiredoxin-2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Peroxiredoxin-2, 1.11.1.15, Natural killer cell-enhancing factor B, NKEF-B, PRP, Thiol-specific antioxidant protein, TSA, Thioredoxin peroxidase 1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003ePRDX2\/Peroxiredoxin-2\u003c\/strong\u003e (\u003cstrong\u003ePRDX2\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. This analyte is often discussed in the context of \u003cstrong\u003emetabolic and signaling biochemistry\u003c\/strong\u003e. Enzymes shape pathway flux and signaling output by catalyzing reactions that control metabolites, second messengers, or post-translational modifications.\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":52920863293805,"sku":"EK1528","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1528.jpg?v=1769078128"},{"product_id":"human-robo1-elisa-kit-picokine-bhe21001400","title":"Human ROBO1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Roundabout homolog 1, Deleted in U twenty twenty, H-Robo-1, ROBO1, DUTT1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eROBO1\u003c\/strong\u003e (\u003cstrong\u003eROBO1\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\u003eOxidative Stress\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":52920874729837,"sku":"EK1755","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1755.png?v=1769078193"},{"product_id":"human-pregnancy-zone-protein-pzp-elisa-kit-picokine-bhe21001506","title":"Human Pregnancy Zone Protein\/PZP ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Pregnancy zone protein, C3 and PZP-like alpha-2-macroglobulin domain-containing protein 6, PZP, CPAMD6.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003ePregnancy Zone Protein\/PZP\u003c\/strong\u003e (\u003cstrong\u003ePZP\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\u003eOxidative Stress\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":52920878727533,"sku":"EK1873","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1873_42f7bd00-6354-4824-b9c4-4b72d152e713.png?v=1769078260"},{"product_id":"human-il-23-elisa-kit-picokine-bhe21001789","title":"Human IL-23 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eIL-23\u003c\/strong\u003e (\u003cstrong\u003eIL23A\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\u003eOxidative Stress\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":52920898191725,"sku":"EK0865","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0865.png?v=1769078394"},{"product_id":"human-marco-elisa-kit-picokine-bhe21001790","title":"Human MARCO ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eMARCO\u003c\/strong\u003e (\u003cstrong\u003eMARCO\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\u003eOxidative Stress\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":52920898224493,"sku":"EK2242","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2242.png?v=1769078394"},{"product_id":"human-osmr-elisa-kit-picokine-bhe21001817","title":"Human OSMR ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eOSMR\u003c\/strong\u003e (\u003cstrong\u003eOSMR\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\u003eOxidative Stress\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":52920899371373,"sku":"EK2268","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2268.jpg?v=1769078411"},{"product_id":"human-nqo1-elisa-kit-picokine-bhe21001826","title":"Human NQO1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eNQO1\u003c\/strong\u003e (\u003cstrong\u003eNQO1\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. 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":52920899731821,"sku":"EK2277","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2277.png?v=1769078416"},{"product_id":"mouse-angiopoietin-1-picokine-quick-elisa-kit-bhe21001845","title":"Mouse Angiopoietin-1 PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eMouse \u003cstrong\u003eAngiopoietin-1\u003c\/strong\u003e (\u003cstrong\u003eANGPT1\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\u003eOxidative Stress\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":52920902517101,"sku":"FEK1296","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek1296.png?v=1769078426"},{"product_id":"human-neurotrophin-3-nt-3-picokine-quick-elisa-kit-bhe21001874","title":"Human Neurotrophin-3\/NT-3 PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Neurotrophin-3, NT-3, HDNF, Nerve growth factor 2, NGF-2, Neurotrophic factor, NTF3.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eNeurotrophin-3\/NT-3\u003c\/strong\u003e (\u003cstrong\u003eNTF3\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\u003eOxidative Stress\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":52920903467373,"sku":"FEK0472","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0472.png?v=1769078441"},{"product_id":"human-siglec-1-cd169-picokine-quick-elisa-kit-bhe21001879","title":"Human SIGLEC-1\/CD169 PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Sialoadhesin, Sialic acid-binding Ig-like lectin 1, Siglec-1, CD169, SIGLEC1, SN.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eSIGLEC-1\/CD169\u003c\/strong\u003e (\u003cstrong\u003eSIGLEC1\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\u003eOxidative Stress\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":52920903631213,"sku":"FEK1304","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek1304.png?v=1769078443"},{"product_id":"rat-il-17a-elisa-kit-picokine-bhe21001915","title":"Rat IL-17A ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interleukin-17A, IL-17, IL-17A, Cytotoxic T-lymphocyte-associated antigen 8, CTLA-8, Il17a, Ctla8, Il17.\u003c\/p\u003e\u003cp\u003eRat \u003cstrong\u003eIL-17A\u003c\/strong\u003e (\u003cstrong\u003eIl17a\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\u003eOxidative Stress\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":52920904876397,"sku":"EK2294","price":499.0,"currency_code":"USD","in_stock":true}]},{"product_id":"human-cdx2-elisa-kit-picokine-bhe21001921","title":"Human CDX2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Period circadian protein homolog 1, hPER1, Circadian clock protein PERIOD 1, Circadian pacemaker protein Rigui, PER1, KIAA0482, PER, RIGUI.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCDX2\u003c\/strong\u003e (\u003cstrong\u003eCDX2\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\u003eOxidative Stress\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":52920905073005,"sku":"EK2301","price":750.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2301.jpg?v=1769078464"},{"product_id":"feline-ifn-gamma-elisa-kit-picokine-bhe21001983","title":"Feline IFN-gamma ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Interferon gamma receptor 1, IFN-gamma receptor 1, IFN-gamma-R1, CDw119, CD119, IFNGR1.\u003c\/p\u003e\u003cp\u003eFeline \u003cstrong\u003eIFN-gamma\u003c\/strong\u003e (\u003cstrong\u003eIFNG\u003c\/strong\u003e) is a commonly measured biological analyte that can provide insight into cellular state and tissue physiology. This target is frequently investigated in \u003cstrong\u003eOxidative Stress\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":52920907268461,"sku":"EK2367","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek2367.jpg?v=1769078499"},{"product_id":"mda-mb-157-cell-bhc11101444","title":"MDA-MB-157 cell","description":"The MDA-MB-157 cell line is derived from a human breast carcinoma, specifically from a pleural effusion of a metastatic breast cancer patient. This cell line is extensively used in breast cancer research, particularly for studying the biology of triple-negative breast cancer (TNBC), a subtype that lacks expression of estrogen receptor (ER), progesterone receptor (PR), and HER2\/neu. MDA-MB-157 cells provide a valuable model for investigating the molecular mechanisms driving TNBC, as well as for testing potential therapeutic agents targeting this aggressive form of breast cancer.\nMDA-MB-157 cells exhibit an epithelial morphology and are characterized by their high metastatic potential. They express markers typical of basal-like breast cancer, including cytokeratins 5\/6 and epidermal growth factor receptor (EGFR). Researchers utilize MDA-MB-157 cells to explore key signaling pathways involved in TNBC progression, such as the PI3K\/Akt, MAPK, and Notch pathways. These cells are also employed in drug screening assays to evaluate the efficacy of chemotherapeutic agents, targeted therapies, and combination treatments. Additionally, MDA-MB-157 cells are used to study the mechanisms of drug resistance and to develop strategies to overcome it. The relevance of the MDA-MB-157 cell line in triple-negative breast cancer research underscores its importance in advancing our understanding of this challenging subtype of breast cancer and in developing more effective therapeutic approaches for TNBC patients.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101444\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215688557,"sku":"305280","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-157_20P5_2010x01_20171024_ch00_1920x1920_9f6c2970-6438-43b6-a8ba-5a8b4f9fb6b2.jpg?v=1769069144"},{"product_id":"mda-mb-175-vii-cell-bhc11101697","title":"MDA-MB-175-VII cell","description":"MDA-MB-175-VII is a human breast cancer cell line originally derived from the pleural effusion of an adult female patient with infiltrating ductal mammary carcinoma. The cell line is part of a series established from metastatic breast tumors to provide viable, fibroblast-poor epithelial cultures. Specifically, MDA-MB-175 was isolated from six of eight thoracenteses performed on a patient who underwent mastectomy and exhibited recurrent malignant pleural effusions. The tumor cells were consistently viable and cultured successfully across samples, which provided a stable platform for in vitro studies of metastatic breast cancer biology.\n\nMDA-MB-175-VII cells are morphologically epithelial and have a modal chromosome number of approximately 49, reflecting an aneuploid karyotype. These cells exhibit relatively slow growth in vitro but have gained scientific interest due to their unique molecular features, including the expression of neuregulin-1 (NRG1) fusion transcripts. In particular, the NRG1-DOC4 fusion observed in this line leads to constitutive activation of the HER3\/HER4 receptor pathway, promoting autocrine signaling and cell proliferation. This molecular characteristic has positioned MDA-MB-175-VII as a rare but critical model for studying autocrine HER-family receptor signaling and its pharmacological targeting in breast cancer .\n\nFurther integration into large-scale datasets such as the Cancer Cell Line Encyclopedia (CCLE) has enabled deeper molecular profiling of MDA-MB-175-VII. These datasets include transcriptomic, mutational, and proteomic information that support the classification of the cell line within the luminal subtype of breast cancers, with modest sensitivity to agents targeting HER-family receptors and PI3K signaling pathways. As such, MDA-MB-175-VII serves as a valuable model for preclinical investigations of targeted therapies and the functional consequences of oncogenic gene fusions in breast cancer.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101697\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215721325,"sku":"305825","price":550.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-175-VII_20WaKo_20DAY1_2020X01_20211025_Overlay_1920x1920_52a811e0-8370-4c09-83eb-494c48dbe418.png?v=1769069146"},{"product_id":"mda-mb-231-cell-bhc11101419","title":"MDA-MB-231 cell","description":"The MDA-MB-231 cell line is a widely used model in breast cancer research. Derived from a human breast adenocarcinoma, these cells are characterized by their aggressive and invasive nature, making them an ideal model for studying triple-negative breast cancer (TNBC). MDA-MB-231 cells lack estrogen receptors (ER), progesterone receptors (PR), and HER2 amplification, which are typical markers used to classify and treat breast cancers. Consequently, these cells are resistant to hormonal therapies, reflecting the clinical challenges faced in managing TNBC. Their mesenchymal-like phenotype and ability to form tumors in immunocompromised mice further contribute to their utility in cancer research.\n\nGenetically, MDA-MB-231 cells harbor mutations in key oncogenes and tumor suppressor genes such as TP53, KRAS, and BRAF. These genetic alterations play a crucial role in driving their malignancy and metastatic potential. Researchers use this cell line to investigate the molecular mechanisms underlying cancer progression, metastasis, and drug resistance. MDA-MB-231 cells are also employed in high-throughput screening for potential therapeutic agents, as their aggressive behavior provides a stringent test for new anti-cancer drugs. The cell line's robust response to various stimuli makes it an invaluable tool for deciphering the complex biology of triple-negative breast cancer.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101419\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215754093,"sku":"300275","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-231_20_281_29.jpg?v=1769069144"},{"product_id":"mda-mb-231-gfp-cell-bhc11101688","title":"MDA-MB-231-GFP cell","description":"MDA-MB-231-GFP is a fluorescently labeled variant of the widely used MDA-MB-231 human breast cancer cell line, engineered to express green fluorescent protein (GFP) via lentiviral transduction. This modification enables real-time visualization and quantification of tumor cell dynamics both in vitro and in vivo, facilitating detailed analysis of tumor-stroma interactions, cellular proliferation, and metastatic behavior. The parental MDA-MB-231 line originates from a pleural effusion of a patient with triple-negative breast cancer (TNBC) and exhibits aggressive, invasive behavior with a mesenchymal phenotype, making it a cornerstone model for studying TNBC pathophysiology and treatment resistance.\n\nIn co-culture experiments with human mesenchymal stem\/stromal cells (MSCs), MDA-MB-231-GFP cells have demonstrated significantly enhanced proliferation and tumor-promoting behavior. Studies showed that direct contact with MSCs, rather than soluble factors alone, is critical for this effect. Specifically, co-culture with MSCs led to a 39.5% increase in MDA-MB-231-GFP cell proliferation after four days compared to monoculture, and induced expression of CD90 on a subset of breast cancer cells—a marker not expressed under standard conditions. This MSC-induced CD90 expression required direct cell–cell interaction and was partially inhibited by blocking gap junctions or Notch signaling, indicating the involvement of specific intercellular communication pathways.\n\nIn vivo, co-injection of MDA-MB-231-GFP cells with MSCs into immunodeficient NOD\/scid mice resulted in approximately tenfold increased tumor volume and enhanced metastatic potential compared to injection of cancer cells alone. These tumors exhibited elevated vascularization and higher viability, and retained a minority CD90-positive population, reinforcing the in vitro findings. Together, these studies position MDA-MB-231-GFP as a robust model for investigating tumor-stroma interactions, MSC-induced phenotypic plasticity, and mechanisms of tumor progression in triple-negative breast cancer.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101688\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215786861,"sku":"305691","price":800.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-231_2BGFP_20P1_2020x01_20020725_ch00_1920x1920_56d5b661-6c02-49ba-ac08-c940a0de0cba.jpg?v=1769069145"},{"product_id":"mda-mb-361-cell-bhc11101457","title":"MDA-MB-361 cell","description":"The MDA-MB-361 cell line is derived from a metastatic site of breast adenocarcinoma in a human adult. This cell line is utilized extensively in breast cancer research, particularly in studies investigating the molecular mechanisms of cancer metastasis, hormone receptor signaling, and therapeutic responses. MDA-MB-361 cells are estrogen receptor-positive (ER+) and HER2-positive, making them a valuable model for studying the interplay between these receptors in breast cancer progression and treatment.\nMDA-MB-361 cells exhibit an epithelial morphology and are known for their ability to form colonies in soft agar, indicative of their tumorigenic potential. They express key markers associated with breast cancer, including estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2\/neu). These cells are frequently used to evaluate the efficacy of hormonal therapies, targeted treatments, and chemotherapeutic agents in preclinical studies. Additionally, MDA-MB-361 cells serve as a model to study the mechanisms of resistance to HER2-targeted therapies and to develop strategies to overcome such resistance. Their relevance in breast cancer research underscores their importance in advancing our understanding of cancer biology and improving therapeutic approaches for breast cancer patients.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101457\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215819629,"sku":"305267","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-361_20P5_2020x01_20231024_ch00_1920x1920_e5d8eff5-7011-475d-82b6-d1646a1daf05.jpg?v=1769069145"},{"product_id":"mda-mb-415-cell-bhc11101356","title":"MDA-MB-415 cell","description":"The MDA-MB-415 cell line is derived from a metastatic site of an adult female patient with breast adenocarcinoma. These cells are epithelial in nature and exhibit characteristics typical of mammary gland epithelial cells. They are known for their utility in studying the molecular and cellular mechanisms underlying breast cancer, including hormone receptor activity and gene expression profiles. The MDA-MB-415 cell line is estrogen receptor-positive (ER+) and HER2 negative, making it particularly valuable for research focused on hormone-responsive breast cancers. Researchers utilize these cells to investigate the role of estrogen signaling in breast cancer progression and to evaluate the efficacy of anti-estrogen therapies.\n\nIn terms of growth characteristics, MDA-MB-415 cells grow as adherent monolayers and require a nutrient-rich culture medium to maintain optimal growth and viability. These cells exhibit a moderate doubling time, which makes them suitable for various in vitro assays, including proliferation, apoptosis, and drug sensitivity studies. The genetic profile of MDA-MB-415 cells has been extensively characterized, revealing key mutations and gene expression patterns that are relevant to breast cancer biology. This cell line serves as a critical model for understanding the complex interactions between cancer cells and their microenvironment, aiding in the development of novel therapeutic strategies.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101356\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215852397,"sku":"305129","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-415_20P1_20WaKo_2010x01_20070225_ch00_1920x1920_67f49a84-1b02-4ff4-84b2-7c8b33c00d98.jpg?v=1769069145"},{"product_id":"mda-mb-435s-cell-bhc11101420","title":"MDA-MB-435S cell","description":"Disclaimer: The cell line in question has been identified as problematic due to contamination issues. Specifically, the parent cell line (MDA-MB-435) has been shown to be a derivative of the M14 cell line.The MDA-MB-435S cell line is a widely utilized model in cancer research, originally thought to be derived from a breast cancer metastasis. These cells exhibit characteristics typical of highly aggressive cancer cells, including a rapid proliferation rate, resistance to apoptosis, and the ability to invade surrounding tissues. Due to these traits, MDA-MB-435S cells are frequently used in studies investigating cancer metastasis, drug resistance mechanisms, and the molecular underpinnings of aggressive tumor behavior.\n\nInterestingly, subsequent molecular and genetic analyses have revealed that MDA-MB-435S cells share a closer genetic profile with melanoma rather than breast cancer, raising significant implications for their use in research. Despite this controversy, they remain a valuable model for studying metastatic processes and testing potential therapeutic agents, particularly those targeting mechanisms common to both breast cancer and melanoma. Researchers are advised to consider these genetic findings when interpreting results obtained from studies involving MDA-MB-435S cells.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101420\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215885165,"sku":"300277","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-435S_20_281_29.jpg?v=1769069146"},{"product_id":"mda-mb-436-cell-bhc11101421","title":"MDA-MB-436 cell","description":"The MDA-MB-436 cell line is derived from a human breast adenocarcinoma. This cell line is characterized by its triple-negative breast cancer (TNBC) phenotype, lacking estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor 2 (HER2) expression. Such characteristics make it an invaluable model for studying TNBC, a particularly aggressive and difficult-to-treat subtype of breast cancer. The cells exhibit an epithelial morphology and are known for their robust proliferative capacity in vitro.\n\nGenetically, MDA-MB-436 cells harbor mutations in key cancer-related genes, including BRCA1 and TP53. The BRCA1 mutation is of particular interest, as it mirrors the genetic alterations found in a subset of hereditary breast cancers. This makes MDA-MB-436 a crucial tool for investigating the mechanisms underlying BRCA1-associated tumorigenesis and for testing potential therapeutic strategies targeting these pathways. Additionally, the cell line has been employed in research focused on chemotherapy resistance, metastasis, and the tumor microenvironment.\n\nResearchers working with MDA-MB-436 cells benefit from its well-documented characteristics, allowing for reproducible and reliable experimental outcomes. Studies utilizing this cell line contribute significantly to the understanding of TNBC biology and the development of novel treatments for this challenging cancer subtype. However, care must be taken in experimental design, as the absence of hormone receptors and HER2 expression necessitates alternative approaches compared to other breast cancer models.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101421\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215917933,"sku":"300278","price":450.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-436_20_20P1_2020x01_20250325_ch00_1920x1920_368e69a4-a2b2-4fde-a531-07cb7fa90fc5.jpg?v=1769069146"},{"product_id":"mda-mb-468-cell-bhc11101422","title":"MDA-MB-468 cell","description":"The MDA-MB-468 cell line is a well-established human breast cancer cell line derived from the pleural effusion of an adult patient with metastatic adenocarcinoma. These cells are characterized by their epithelial morphology and are known for their high degree of aneuploidy. MDA-MB-468 cells are estrogen receptor-negative (ER-) and are often used as a model to study triple-negative breast cancer (TNBC), a subtype of breast cancer that lacks estrogen receptor (ER), progesterone receptor (PR), and HER2\/neu expression. This makes MDA-MB-468 a critical tool for research into cancers that do not respond to hormonal therapy or HER2-targeted treatments.\n\nGenetically, MDA-MB-468 cells exhibit mutations in the TP53 gene, which is a common occurrence in various forms of cancer and plays a significant role in cell cycle regulation and apoptosis. The cell line also shows amplification of the epidermal growth factor receptor (EGFR) gene, contributing to its utility in studying the EGFR signaling pathway and its implications in cancer progression and treatment resistance. Researchers frequently utilize MDA-MB-468 cells to investigate mechanisms of drug resistance, test new therapeutic agents, and explore the molecular biology of aggressive breast cancers.\n\nIn addition to their genetic and phenotypic characteristics, MDA-MB-468 cells are known for their ability to form xenografts in immunocompromised mice, making them a valuable model for in vivo studies of tumor growth and metastasis. This cell line's responsiveness to various chemotherapeutic agents and targeted therapies is extensively studied to develop effective treatment strategies for TNBC. Overall, the MDA-MB-468 cell line is a crucial resource for advancing breast cancer research, particularly in the context of triple-negative and EGFR-positive malignancies.\n\u003cp style=\"display:none\"\u003eSKU:BHC11101422\u003c\/p\u003e","brand":"Cytion","offers":[{"title":"1 cryovial","offer_id":52950215950701,"sku":"300279","price":395.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/MDA-MB-468_20P1_2020x01_20090525_ch00_1920x1920_8d583397-0a2d-4175-93cd-12478f9cc786.jpg?v=1769069146"},{"product_id":"bovine-catalase-cat-elisa-kit-bhe12100045","title":"Bovine Catalase, CAT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCAT\u003c\/strong\u003e is a molecular target commonly studied in tags \u0026amp; cell markers, signal transduction, and cardiovascular research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P00432\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, CAT 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 CAT 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\u003eCAT 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 CAT 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\u003eCAT\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCAT\u003c\/strong\u003e and \u003cstrong\u003eCatalase\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":52952444830061,"sku":"E0025Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0025Bo.jpg?v=1769145915"},{"product_id":"bovine-reactive-oxygen-species-modulator-1-romo1-elisa-kit-bhe12100077","title":"Bovine Reactive Oxygen Species Modulator 1, ROMO1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eReactive Oxygen Species Modulator 1 (ROMO1)\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: Q3SZV8\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Reactive Oxygen Species Modulator 1 (ROMO1) 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 Reactive Oxygen Species Modulator 1 (ROMO1) 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\u003eReactive Oxygen Species Modulator 1 (ROMO1) 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 Reactive Oxygen Species Modulator 1 (ROMO1) 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\u003eReactive Oxygen Species Modulator 1 (ROMO1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eProtein MGR2 homolog\u003c\/strong\u003e, \u003cstrong\u003eReactive oxygen species modulator 1\u003c\/strong\u003e, and \u003cstrong\u003eROMO 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":52952445059437,"sku":"E0063Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0063Bo.jpg?v=1769145917"},{"product_id":"bovine-thioredoxin-related-transmembrane-protein-2-tmx2-elisa-kit-bhe12100439","title":"Bovine Thioredoxin-related Transmembrane Protein 2, TMX2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThioredoxin-related Transmembrane Protein 2 (TMX2)\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: Q2TBU2\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Thioredoxin-related Transmembrane Protein 2 (TMX2) 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 Thioredoxin-related Transmembrane Protein 2 (TMX2) 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\u003eThioredoxin-related Transmembrane Protein 2 (TMX2) 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 Thioredoxin-related Transmembrane Protein 2 (TMX2) 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\u003eThioredoxin-related Transmembrane Protein 2 (TMX2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eThioredoxin domain-containing protein 14\u003c\/strong\u003e, \u003cstrong\u003eThioredoxin-related transmembrane protein 2\u003c\/strong\u003e, and \u003cstrong\u003eTMX 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":52952447582573,"sku":"E2066Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2066Bo.jpg?v=1769145937"},{"product_id":"bovine-superoxide-dismutase-cu-zn-sod1-elisa-kit-bhe12100443","title":"Bovine Superoxide Dismutase (Cu-Zn), SOD1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSuperoxide Dismutase (Cu-Zn) (SOD1)\u003c\/strong\u003e is a molecular target commonly studied in metabolism 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: P00442\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Superoxide Dismutase (Cu-Zn) (SOD1) is frequently examined in relation to energy homeostasis, glucose and lipid metabolism, and insulin sensitivity and endocrine regulation. 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 Superoxide Dismutase (Cu-Zn) (SOD1) 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\u003eSuperoxide Dismutase (Cu-Zn) (SOD1) 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 Superoxide Dismutase (Cu-Zn) (SOD1) 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\u003eSuperoxide Dismutase (Cu-Zn) (SOD1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eSOD 1\u003c\/strong\u003e, \u003cstrong\u003eSOD1\u003c\/strong\u003e, and \u003cstrong\u003eSuperoxide dismutase [Cu-Zn\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":52952447615341,"sku":"E2070Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2070Bo.jpg?v=1769145937"},{"product_id":"bovine-thioredoxin-trx-elisa-kit-bhe12100466","title":"Bovine Thioredoxin, TRX ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThioredoxin (TXN)\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: O97680\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Thioredoxin (TXN) 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 Thioredoxin (TXN) 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\u003eThioredoxin (TXN) 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 Thioredoxin (TXN) 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\u003eThioredoxin (TXN)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eThioredoxin\u003c\/strong\u003e, \u003cstrong\u003eTrx\u003c\/strong\u003e, and \u003cstrong\u003eTXN\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":52952447746413,"sku":"E2099Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2099Bo.jpg?v=1769145938"},{"product_id":"bovine-thioredoxin-reductase-1-txnrd1-elisa-kit-bhe12100546","title":"Bovine Thioredoxin Reductase 1, TXNRD1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThioredoxin Reductase 1 (TXNRD1)\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: O62768\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Thioredoxin Reductase 1 (TXNRD1) 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 Thioredoxin Reductase 1 (TXNRD1) 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\u003eThioredoxin Reductase 1 (TXNRD1) 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 Thioredoxin Reductase 1 (TXNRD1) 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\u003eThioredoxin Reductase 1 (TXNRD1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eThioredoxin reductase 1, cytoplasmic\u003c\/strong\u003e, \u003cstrong\u003eThioredoxin reductase TR1\u003c\/strong\u003e, and \u003cstrong\u003eTR\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":52952449384813,"sku":"E2252Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2252Bo.jpg?v=1769145955"},{"product_id":"canine-catalase-cat-elisa-kit-bhe12100583","title":"Canine Catalase, CAT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCAT\u003c\/strong\u003e is a molecular target commonly studied in tags \u0026amp; cell markers, signal transduction, and cardiovascular research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: O97492\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, CAT 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 CAT 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\u003eCAT 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 CAT 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\u003eCAT\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCAT\u003c\/strong\u003e and \u003cstrong\u003eCatalase\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":52952449974637,"sku":"E0031Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0031Ca.jpg?v=1769145960"},{"product_id":"canine-superoxide-dismutase-cu-zn-sod1-elisa-kit-bhe12100881","title":"Canine Superoxide Dismutase (Cu-Zn), SOD1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSuperoxide Dismutase (Cu-Zn) (SOD1)\u003c\/strong\u003e is a molecular target commonly studied in signal transduction, cell biology, and 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: Q8WNN6\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Superoxide Dismutase (Cu-Zn) (SOD1) 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 Superoxide Dismutase (Cu-Zn) (SOD1) 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\u003eSuperoxide Dismutase (Cu-Zn) (SOD1) 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 Superoxide Dismutase (Cu-Zn) (SOD1) 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\u003eSuperoxide Dismutase (Cu-Zn) (SOD1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eSOD1\u003c\/strong\u003e and \u003cstrong\u003eSuperoxide dismutase [Cu-Zn\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":52952451973485,"sku":"E0373Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0373Ca.jpg?v=1769145977"},{"product_id":"canine-superoxide-dismutase-mn-sod2-elisa-kit-bhe12100882","title":"Canine Superoxide Dismutase (Mn), SOD2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSuperoxide Dismutase (Mn) (SOD2)\u003c\/strong\u003e is a molecular target commonly studied in cell biology, signal transduction, and neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P54712\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Superoxide Dismutase (Mn) (SOD2) 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 Superoxide Dismutase (Mn) (SOD2) 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\u003eSuperoxide Dismutase (Mn) (SOD2) 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 Superoxide Dismutase (Mn) (SOD2) 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\u003eSuperoxide Dismutase (Mn) (SOD2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eFragment\u003c\/strong\u003e, \u003cstrong\u003eSOD2\u003c\/strong\u003e, and \u003cstrong\u003eSuperoxide dismutase [Mn], mitochondrial\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":52952452006253,"sku":"E0374Ca-96T","price":475.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0374Ca.jpg?v=1769145977"},{"product_id":"horse-superoxide-dismutase-cu-zn-sod1-elisa-kit-bhe12101676","title":"Horse Superoxide Dismutase(Cu-Zn), SOD1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHorse Superoxide Dismutase(Cu-Zn) (SOD1)\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: P00443\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Horse Superoxide Dismutase(Cu-Zn) (SOD1) 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 Horse Superoxide Dismutase(Cu-Zn) (SOD1) 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\u003eHorse Superoxide Dismutase(Cu-Zn) (SOD1) 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 Horse Superoxide Dismutase(Cu-Zn) (SOD1) 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\u003eHorse Superoxide Dismutase(Cu-Zn) (SOD1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCU\/ZN-SOD\u003c\/strong\u003e, \u003cstrong\u003eSOD1\u003c\/strong\u003e, and \u003cstrong\u003eSuperoxide dismutase Cu-Zn\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":52952453808493,"sku":"E0054HO-96T","price":498.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0054HO.jpg?v=1769145990"},{"product_id":"human-heme-oxygenase-1-ho-1-elisa-kit-bhe12102607","title":"Human Heme Oxygenase 1, HO-1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHeme Oxygenase 1 (HMOX1)\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: P09601\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Heme Oxygenase 1 (HMOX1) 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 Heme Oxygenase 1 (HMOX1) 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\u003eHeme Oxygenase 1 (HMOX1) 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 Heme Oxygenase 1 (HMOX1) 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\u003eHeme Oxygenase 1 (HMOX1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHeme oxygenase 1\u003c\/strong\u003e, \u003cstrong\u003eHMOX 1\u003c\/strong\u003e, and \u003cstrong\u003eHMOX1\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":52952463638893,"sku":"E0932Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0932Hu.jpg?v=1769146100"},{"product_id":"human-thioredoxin-trx-elisa-kit-bhe12103069","title":"Human Thioredoxin, TRX ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eThioredoxin (TXN)\u003c\/strong\u003e is a molecular target commonly studied in metabolism 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: P10599\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Thioredoxin (TXN) is frequently examined in relation to energy homeostasis, glucose and lipid metabolism, and insulin sensitivity and endocrine regulation. 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 Thioredoxin (TXN) 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\u003eThioredoxin (TXN) 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 Thioredoxin (TXN) 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\u003eThioredoxin (TXN)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eADF\u003c\/strong\u003e, \u003cstrong\u003eallergen Hom s Trx\u003c\/strong\u003e, and \u003cstrong\u003eATL-derived factor\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952468390253,"sku":"E1452Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1452Hu.jpg?v=1769146131"},{"product_id":"human-reactive-oxygen-species-modulator-1-romo1-elisa-kit-bhe12103686","title":"Human Reactive Oxygen Species Modulator 1, ROMO1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eReactive Oxygen Species Modulator 1 (ROMO1)\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: P60602\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Reactive Oxygen Species Modulator 1 (ROMO1) 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 Reactive Oxygen Species Modulator 1 (ROMO1) 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\u003eReactive Oxygen Species Modulator 1 (ROMO1) 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 Reactive Oxygen Species Modulator 1 (ROMO1) 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\u003eReactive Oxygen Species Modulator 1 (ROMO1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eEpididymis tissue protein Li 175\u003c\/strong\u003e, \u003cstrong\u003eGlyrichin\u003c\/strong\u003e, and \u003cstrong\u003eMitochondrial targeting GxxxG motif protein\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952475828589,"sku":"E2143Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2143Hu.jpg?v=1769146181"},{"product_id":"human-interleukin-24-il-24-elisa-kit-bhe12103703","title":"Human Interleukin 24, IL-24 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInterleukin 24 (IL-24)\u003c\/strong\u003e is a molecular target commonly studied in immunology research. Cytokines act as soluble messengers that shape immune-cell behavior, inflammation, and tissue homeostasis.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q13007\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Interleukin 24 (IL-24) 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 Interleukin 24 (IL-24) 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\u003eInterleukin 24 (IL-24) has been reported as a useful readout in studies of physiological regulation and disease-associated processes. These observations make it relevant for hypothesis-driven research and biomarker exploration, while interpretation should remain grounded in the specific species, sample matrix, and study design.\u003c\/p\u003e\u003ch2\u003eInterpreting concentration measurements\u003c\/h2\u003e\u003cp\u003eMeasured levels of Interleukin 24 (IL-24) can reflect multiple biological factors, including production rate, turnover, compartmental distribution, and sample composition. As a result, conclusions are often supported by considering broader pathway context and complementary readouts rather than relying on a single analyte alone.\u003c\/p\u003e\u003ch2\u003eNomenclature\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInterleukin 24 (IL-24)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eC49A\u003c\/strong\u003e, \u003cstrong\u003eFISP\u003c\/strong\u003e, and \u003cstrong\u003eIL10B\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":52952476090733,"sku":"E2162Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2162Hu.jpg?v=1769146182"},{"product_id":"human-peroxiredoxin-2-prdx2-elisa-kit-bhe12104462","title":"Human Peroxiredoxin 2, PRDX2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePeroxiredoxin 2 (PRDX2)\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: P32119\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Peroxiredoxin 2 (PRDX2) 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 Peroxiredoxin 2 (PRDX2) 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\u003ePeroxiredoxin 2 (PRDX2) 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 Peroxiredoxin 2 (PRDX2) 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\u003ePeroxiredoxin 2 (PRDX2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eNatural killer cell-enhancing factor B\u003c\/strong\u003e, \u003cstrong\u003eNKEF-B\u003c\/strong\u003e, and \u003cstrong\u003ePeroxiredoxin-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":52952493818221,"sku":"E2925Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2925Hu.jpg?v=1769146339"},{"product_id":"human-peroxiredoxin-4-prdx4-elisa-kit-bhe12104464","title":"Human Peroxiredoxin 4, PRDX4 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePeroxiredoxin 4 (PRDX4)\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: Q13162\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Peroxiredoxin 4 (PRDX4) 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 Peroxiredoxin 4 (PRDX4) 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\u003ePeroxiredoxin 4 (PRDX4) 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 Peroxiredoxin 4 (PRDX4) 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\u003ePeroxiredoxin 4 (PRDX4)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAntioxidant enzyme AOE372\u003c\/strong\u003e, \u003cstrong\u003eAOE37-2\u003c\/strong\u003e, and \u003cstrong\u003ePeroxiredoxin IV\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":52952493850989,"sku":"E2927Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2927Hu.jpg?v=1769146339"},{"product_id":"human-peroxiredoxin-6-prdx6-elisa-kit-bhe12104466","title":"Human Peroxiredoxin 6, PRDX6 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePeroxiredoxin 6 (PRDX6)\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: P30041\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Peroxiredoxin 6 (PRDX6) 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 Peroxiredoxin 6 (PRDX6) 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\u003ePeroxiredoxin 6 (PRDX6) 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 Peroxiredoxin 6 (PRDX6) 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\u003ePeroxiredoxin 6 (PRDX6)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003e1-Cys\u003c\/strong\u003e, \u003cstrong\u003e1-Cys peroxiredoxin\u003c\/strong\u003e, and \u003cstrong\u003e1-Cys PRX\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":52952493883757,"sku":"E2929Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2929Hu.jpg?v=1769146339"},{"product_id":"human-catalase-cat-elisa-kit-bhe12104587","title":"Human Catalase, CAT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCAT\u003c\/strong\u003e is a molecular target commonly studied in tags \u0026amp; cell markers, signal transduction, and cardiovascular research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P04040\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, CAT 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 CAT 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\u003eCAT 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 CAT 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\u003eCAT\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCAT\u003c\/strong\u003e and \u003cstrong\u003eCatalase\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":52952496079213,"sku":"E3053Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3053Hu.jpg?v=1769146357"},{"product_id":"human-cyclin-dependent-kinase-inhibitor-1-cdkn1a-elisa-kit-bhe12104772","title":"Human Cyclin-dependent Kinase Inhibitor 1, CDKN1A ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCyclin-dependent Kinase Inhibitor 1 (CDKN1A)\u003c\/strong\u003e is a molecular target commonly studied in life science research. Enzymes influence signaling and metabolism through catalytic activity that can vary across tissues and physiological states.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P38936\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Cyclin-dependent Kinase Inhibitor 1 (CDKN1A) 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 Cyclin-dependent Kinase Inhibitor 1 (CDKN1A) 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\u003eCyclin-dependent Kinase Inhibitor 1 (CDKN1A) 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 Cyclin-dependent Kinase Inhibitor 1 (CDKN1A) 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\u003eCyclin-dependent Kinase Inhibitor 1 (CDKN1A)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCDK-interacting protein 1\u003c\/strong\u003e, \u003cstrong\u003eCDKN1A\u003c\/strong\u003e, and \u003cstrong\u003eCyclin-dependent kinase inhibitor 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":52952499749229,"sku":"E3243Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3243Hu.jpg?v=1769146394"}],"url":"https:\/\/www.ebiohippo.com\/collections\/rc-cell-biology-oxidative-stress-antioxidants.oembed?page=19","provider":"BioHippo","version":"1.0","type":"link"}