{"title":"Neurological Biomarkers — ELISA Kits","description":null,"products":[{"product_id":"human-il-33-elisa-kit-ez-set-diy-antibody-pairs-bhe21000101","title":"Human IL-33 ELISA Kit EZ-Set™ (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C9orf26, DVS27, DVS27 related protein, IL-1F11, IL-33, IL1F11, IL33, IL33_HUMAN.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eIL-33\u003c\/strong\u003e (\u003cstrong\u003eIL33\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\u003eNeuroscience\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":52920804508013,"sku":"EZ0929","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0929_1.png?v=1769077508"},{"product_id":"mouse-complement-c5a-picokine-quick-elisa-kit-bhe21000274","title":"Mouse Complement C5a PicoKine® Quick ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eMouse \u003cstrong\u003eComplement C5a\u003c\/strong\u003e (\u003cstrong\u003eC5\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\u003eNeuroscience\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003eplasma protein and inflammation-linked pathways\u003c\/strong\u003e. Inflammation and coagulation networks include abundant plasma proteins, regulators, and cleavage products that can change with immune activation and tissue damage.\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":52920810504557,"sku":"FEK0987","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/fek0987.png?v=1769077589"},{"product_id":"human-cd40-ligand-tnfsf5-cd40lg-elisa-kit-picokine-bhe21000526","title":"Human CD40 Ligand\/TNFSF5\/CD40LG ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e CD40 ligand, CD40-L, T-cell antigen Gp39, TNF-related activation protein, TRAP, Tumor necrosis factor ligand superfamily member 5, CD154, membrane form.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCD40 Ligand\/TNFSF5\/CD40LG\u003c\/strong\u003e (\u003cstrong\u003eCD40LG\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\u003eNeuroscience\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":52920819319149,"sku":"EK0573","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0573_0a704d13-6dc8-416f-be4c-7b7d533da50b.png?v=1769077726"},{"product_id":"human-tnfsf11-rankl-elisa-kit-picokine-bhe21000650","title":"Human TNFSF11\/RANKL ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Tumor necrosis factor ligand superfamily member 11, Osteoclast differentiation factor, ODF, Osteoprotegerin ligand, OPGL, Receptor activator of nuclear factor kappa-B ligand, RANKL, TNF-related activation-induced cytokine.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eTNFSF11\/RANKL\u003c\/strong\u003e (\u003cstrong\u003eTNFSF11\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\u003eNeuroscience\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":52920823578989,"sku":"EK0842","price":399.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0842.jpg?v=1769077783"},{"product_id":"mouse-tnfsf11-rankl-elisa-kit-picokine-bhe21000651","title":"Mouse TNFSF11\/RANKL ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Tumor necrosis factor ligand superfamily member 11, Osteoclast differentiation factor, ODF, Osteoprotegerin ligand, OPGL, Receptor activator of nuclear factor kappa-B ligand, RANKL, TNF-related activation-induced cytokine.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eTNFSF11\/RANKL\u003c\/strong\u003e (\u003cstrong\u003eTNFSF11\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\u003eNeuroscience\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":52920823644525,"sku":"EK0843","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0843_2.png?v=1769077784"},{"product_id":"mouse-trkb-elisa-kit-picokine-bhe21000654","title":"Mouse TrkB ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e BDNF\/NT-3 growth factors receptor, 2.7.10.1, GP145-TrkB\/GP95-TrkB, Trk-B, Neurotrophic tyrosine kinase receptor type 2, TrkB tyrosine kinase, Ntrk2, Trkb.\u003c\/p\u003e\u003cp\u003eMouse \u003cstrong\u003eTrkB\u003c\/strong\u003e (\u003cstrong\u003eNTRK2\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\u003eNeuroscience\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":52920823742829,"sku":"EK0849","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek0849.jpg?v=1769077784"},{"product_id":"human-epha1-elisa-kit-picokine-bhe21001401","title":"Human EphA1 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003eHuman \u003cstrong\u003eEphA1\u003c\/strong\u003e (\u003cstrong\u003eEPHA1\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\u003eNeuroscience\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":52920874762605,"sku":"EK1796","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1796_d0d2d194-0f89-4a4d-ae32-37a5068c19db.png?v=1769078194"},{"product_id":"human-jam-b-jam2-elisa-kit-picokine-bhe21001436","title":"Human JAM-B\/JAM2 ELISA Kit PicoKine®","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Junctional adhesion molecule B, JAM-B, Junctional adhesion molecule 2, JAM-2, Vascular endothelial junction-associated molecule, VE-JAM, CD322, JAM2.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eJAM-B\/JAM2\u003c\/strong\u003e (\u003cstrong\u003eJAM2\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\u003eNeuroscience\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":52920876007789,"sku":"EK1842","price":499.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ek1842_5e64db57-4c12-42f7-bc53-a9ab3d20491f.png?v=1769078216"},{"product_id":"human-icam-1-cd54-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002020","title":"Human ICAM-1\/CD54 EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Intercellular adhesion molecule 1, ICAM-1, Major group rhinovirus receptor, CD54, ICAM1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eICAM-1\/CD54\u003c\/strong\u003e (\u003cstrong\u003eICAM1\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\u003eNeuroscience\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":"5 plates\/kit","offer_id":52920908808557,"sku":"EZ0370","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0370.png?v=1769078518"},{"product_id":"human-chitinase-3-like-1-ykl-40-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002098","title":"Human Chitinase 3-like 1\/YKL-40 EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Chitinase-3-like protein 1, 39 kDa synovial protein, Cartilage glycoprotein 39, CGP-39, GP-39, hCGP-39, YKL-40, CHI3L1.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eChitinase 3-like 1\/YKL-40\u003c\/strong\u003e (\u003cstrong\u003eCHI3L1\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\u003eNeuroscience\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"5 plates\/kit","offer_id":52920911593837,"sku":"EZ0974","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez0974.png?v=1769078561"},{"product_id":"human-ca4-carbonic-anhydrase-4-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002152","title":"Human CA4\/Carbonic anhydrase 4 EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Carbonic anhydrase 4, Carbonate dehydratase IV, Carbonic anhydrase IV, CA-IV.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCA4\/Carbonic anhydrase 4\u003c\/strong\u003e (\u003cstrong\u003eCA4\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\u003eNeuroscience\u003c\/strong\u003e research contexts. As with many protein targets, abundance can be influenced by transcriptional regulation, secretion or shedding, proteolytic processing, and clearance. Quantitative measurement is often used to connect molecular changes with phenotypes such as stress responses, immune activation, differentiation, or tissue remodeling.\u003c\/p\u003e\u003ch2\u003eBiological context and interpretation\u003c\/h2\u003e\u003cp\u003eProtein-level readouts complement nucleic-acid measurements by reflecting post-transcriptional control and protein stability. Depending on the model system, changes may be transient or sustained, and may represent direct pathway engagement or secondary effects. When interpreting results, consider sample matrix effects, timing relative to stimulation or treatment, and whether complexes or modified forms of the analyte may be present.\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Supports analysis across experimental groups, time points, or dose ranges.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePathway context:\u003c\/strong\u003e Useful as part of a broader marker panel to triangulate biological mechanisms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel characterization:\u003c\/strong\u003e Helps profile baseline vs perturbed states in cells, tissues, or biofluids.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eRelated pathways and interacting partners\u003c\/h2\u003e\u003cp\u003eFor many targets, interpretability improves when measured alongside biologically connected markers (e.g., upstream regulators, downstream effectors, and cell-type indicators). Designing panels around a pathway hypothesis can help distinguish primary pathway activation from general stress or inflammation.\u003c\/p\u003e","brand":"Boster Bio","offers":[{"title":"5 plates\/kit","offer_id":52920913428845,"sku":"EZ1939","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez1939.png?v=1769078592"},{"product_id":"human-clec11a-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002153","title":"Human CLEC11A EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e C-type lectin domain family 11 member A, C-type lectin superfamily member 3, Lymphocyte secreted C-type lectin, Osteolectin, Stem cell growth factor, p47, CLEC11A, CLECSF3.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eCLEC11A\u003c\/strong\u003e (\u003cstrong\u003eCLEC11A\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\u003eNeuroscience\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":52920913461613,"sku":"EZ1943","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez1943_fa4bde74-f81a-4641-9f28-0737a897b53e.png?v=1769078592"},{"product_id":"human-complement-c1r-ez-set-and-trade-elisa-kit-diy-antibody-pairs-bhe21002154","title":"Human Complement C1R EZ-Set\u0026trade; ELISA Kit (DIY Antibody Pairs)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlso known as:\u003c\/strong\u003e Complement C1r subcomponent, Complement component 1 subcomponent r, C1R.\u003c\/p\u003e\u003cp\u003eHuman \u003cstrong\u003eComplement C1R\u003c\/strong\u003e (\u003cstrong\u003eC1R\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\u003eNeuroscience\u003c\/strong\u003e research contexts. This analyte is often discussed in the context of \u003cstrong\u003eplasma protein and inflammation-linked pathways\u003c\/strong\u003e. Inflammation and coagulation networks include abundant plasma proteins, regulators, and cleavage products that can change with immune activation and tissue damage.\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":"5 plates\/kit","offer_id":52920913494381,"sku":"EZ1954","price":500.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ez1954.png?v=1769078593"},{"product_id":"bovine-brain-derived-neurotrophic-factor-bdnf-elisa-kit-bhe12100484","title":"Bovine Brain-derived Neurotrophic Factor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBrain-derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q95106\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Brain-derived Neurotrophic Factor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Brain-derived Neurotrophic Factor (BDNF) 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\u003eBrain-derived Neurotrophic Factor (BDNF) 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 Brain-derived Neurotrophic Factor (BDNF) 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\u003eBrain-derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBDNF\u003c\/strong\u003e, \u003cstrong\u003eBDNF precursor form\u003c\/strong\u003e, and \u003cstrong\u003eBrain-derived neurotrophic 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":52952448074093,"sku":"E2190Bo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2190Bo.jpg?v=1769145941"},{"product_id":"horse-brain-derived-neurotrophic-facor-bdnf-elisa-kit-bhe12101708","title":"Horse Brain Derived Neurotrophic Facor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHorse Brain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: Q0EAB7\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Horse Brain Derived Neurotrophic Facor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Horse Brain Derived Neurotrophic Facor (BDNF) 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 Brain Derived Neurotrophic Facor (BDNF) 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 Brain Derived Neurotrophic Facor (BDNF) 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 Brain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAbrineurin\u003c\/strong\u003e, \u003cstrong\u003eANON2\u003c\/strong\u003e, and \u003cstrong\u003eBDNF\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":52952453874029,"sku":"E0091HO-96T","price":498.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0091HO.jpg?v=1769145991"},{"product_id":"human-cyclin-dependent-like-kinase-5-cdk-5-elisa-kit-bhe12102460","title":"Human Cyclin-dependent-like Kinase 5, CDK-5 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCyclin-dependent-like Kinase 5 (CDK5)\u003c\/strong\u003e is a molecular target commonly studied in cell biology, neuroscience, and cancer 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: Q00535\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Cyclin-dependent-like Kinase 5 (CDK5) 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 Cyclin-dependent-like Kinase 5 (CDK5) 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-like Kinase 5 (CDK5) 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-like Kinase 5 (CDK5) 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-like Kinase 5 (CDK5)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCDK 5\u003c\/strong\u003e, \u003cstrong\u003eCDK5\u003c\/strong\u003e, and \u003cstrong\u003eCell division protein kinase 5\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952462328173,"sku":"E0781Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0781Hu.jpg?v=1769146081"},{"product_id":"human-brain-derived-neurotrophic-factor-bdnf-elisa-kit-bhe12102946","title":"Human Brain Derived Neurotrophic Factor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBrain Derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P23560\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Brain Derived Neurotrophic Factor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Brain Derived Neurotrophic Factor (BDNF) 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\u003eBrain Derived Neurotrophic Factor (BDNF) 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 Brain Derived Neurotrophic Factor (BDNF) 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\u003eBrain Derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAbrineurin\u003c\/strong\u003e, \u003cstrong\u003eBDNF\u003c\/strong\u003e, and \u003cstrong\u003eBDNF precursor form\u003c\/strong\u003e in publications and databases. Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952467603821,"sku":"E1302Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1302Hu.jpg?v=1769146124"},{"product_id":"human-neurotrophin-3-nt-3-elisa-kit-bhe12102949","title":"Human Neurotrophin-3, NT-3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurotrophin-3 (NT-3)\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: P20783\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurotrophin-3 (NT-3) 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 Neurotrophin-3 (NT-3) 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\u003eNeurotrophin-3 (NT-3) 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 Neurotrophin-3 (NT-3) 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\u003eNeurotrophin-3 (NT-3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHDNF\u003c\/strong\u003e, \u003cstrong\u003eNerve growth factor 2\u003c\/strong\u003e, and \u003cstrong\u003eNeurotrophic 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":52952467636589,"sku":"E1305Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1305Hu.jpg?v=1769146124"},{"product_id":"human-alpha-synuclein-snca-elisa-kit-bhe12102957","title":"Human Alpha-Synuclein, SNCA ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P37840\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Alpha-Synuclein (SNCA) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA) 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 Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAlpha-synuclein\u003c\/strong\u003e, \u003cstrong\u003eNACP\u003c\/strong\u003e, and \u003cstrong\u003eNon-A beta component of AD amyloid\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":52952467734893,"sku":"E1313Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1313Hu.jpg?v=1769146125"},{"product_id":"human-cathepsin-b-cath-b-elisa-kit-bhe12104588","title":"Human Cathepsin B, CATH-B ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCathepsin B (CTSB)\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: P07858\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Cathepsin B (CTSB) 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 Cathepsin B (CTSB) 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\u003eCathepsin B (CTSB) 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 Cathepsin B (CTSB) 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\u003eCathepsin B (CTSB)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAPP secretase\u003c\/strong\u003e, \u003cstrong\u003eAPPS\u003c\/strong\u003e, and \u003cstrong\u003eCathepsin B\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":52952496144749,"sku":"E3054Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3054Hu.jpg?v=1769146358"},{"product_id":"human-neurofilament-heavy-polypeptide-nefh-elisa-kit-bhe12104668","title":"Human Neurofilament Heavy Polypeptide, NEFH ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurofilament Heavy Polypeptide (NEFH)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P12036\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurofilament Heavy Polypeptide (NEFH) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurofilament Heavy Polypeptide (NEFH) 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\u003eNeurofilament Heavy Polypeptide (NEFH) 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 Neurofilament Heavy Polypeptide (NEFH) 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\u003eNeurofilament Heavy Polypeptide (NEFH)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003e200 kDa neurofilament protein\u003c\/strong\u003e, \u003cstrong\u003eNEFH\u003c\/strong\u003e, and \u003cstrong\u003eNeurofilament heavy polypeptide\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":52952497324397,"sku":"E3136Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E3136Hu.jpg?v=1769146369"},{"product_id":"human-neurofilament-light-polypeptide-nefl-elisa-kit-bhe12105947","title":"Human Neurofilament, Light Polypeptide, NEFL ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurofilament, Light Polypeptide (NEFL)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P07196\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurofilament, Light Polypeptide (NEFL) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurofilament, Light Polypeptide (NEFL) 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\u003eNeurofilament, Light Polypeptide (NEFL) 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 Neurofilament, Light Polypeptide (NEFL) 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\u003eNeurofilament, Light Polypeptide (NEFL)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003e68 kDa neurofilament protein\u003c\/strong\u003e, \u003cstrong\u003eNEFL\u003c\/strong\u003e, and \u003cstrong\u003eNeurofilament light polypeptide\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":52952534090093,"sku":"E4645Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4645Hu.jpg?v=1769146558"},{"product_id":"human-14-3-3-protein-theta-ywhaq-elisa-kit-bhe12106142","title":"Human 14-3-3 Protein Theta, YWHAQ ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003e14-3-3 Protein Theta (YWHAQ)\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: P27348\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, 14-3-3 Protein Theta (YWHAQ) 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 14-3-3 Protein Theta (YWHAQ) 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\u003e14-3-3 Protein Theta (YWHAQ) 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 14-3-3 Protein Theta (YWHAQ) 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\u003e14-3-3 Protein Theta (YWHAQ)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003e14-3-3 protein tau\u003c\/strong\u003e, \u003cstrong\u003e14-3-3 protein T-cell\u003c\/strong\u003e, and \u003cstrong\u003e14-3-3 protein theta\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":52952539300205,"sku":"E4869Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4869Hu.jpg?v=1769146585"},{"product_id":"human-amyloid-beta-a4-precursor-protein-binding-family-a-member-2-apba2-elisa-kit-bhe12106214","title":"Human Amyloid Beta A4 Precursor Protein-binding Family A Member 2, APBA2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAmyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2)\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: Q99767\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Amyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2) 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 Amyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2) 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\u003eAmyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2) 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 Amyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2) 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\u003eAmyloid Beta A4 Precursor Protein-binding Family A Member 2 (APBA2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAdapter protein X11beta\u003c\/strong\u003e, \u003cstrong\u003eAmyloid-beta A4 precursor protein-binding family A member 2\u003c\/strong\u003e, and \u003cstrong\u003eAPBA2\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":52952544608621,"sku":"E4941Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4941Hu.jpg?v=1769146603"},{"product_id":"human-amyloid-like-protein-1-aplp1-elisa-kit-bhe12106216","title":"Human Amyloid-like Protein 1, APLP1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAmyloid-like Protein 1 (APLP1)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P51693\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Amyloid-like Protein 1 (APLP1) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Amyloid-like Protein 1 (APLP1) 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\u003eAmyloid-like Protein 1 (APLP1) 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 Amyloid-like Protein 1 (APLP1) 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\u003eAmyloid-like Protein 1 (APLP1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAmyloid-like protein 1\u003c\/strong\u003e, \u003cstrong\u003eAPLP\u003c\/strong\u003e, and \u003cstrong\u003eAPLP 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":52952544641389,"sku":"E4943Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4943Hu.jpg?v=1769146603"},{"product_id":"human-amyloid-like-protein-2-aplp2-elisa-kit-bhe12106217","title":"Human Amyloid-like Protein 2, APLP2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAmyloid-like Protein 2 (APLP2)\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: Q06481\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Amyloid-like Protein 2 (APLP2) 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 Amyloid-like Protein 2 (APLP2) 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\u003eAmyloid-like Protein 2 (APLP2) 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 Amyloid-like Protein 2 (APLP2) 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\u003eAmyloid-like Protein 2 (APLP2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAmyloid protein homolog\u003c\/strong\u003e, \u003cstrong\u003eAmyloid-like protein 2\u003c\/strong\u003e, and \u003cstrong\u003eAPLP 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":52952544674157,"sku":"E4944Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E4944Hu.jpg?v=1769146604"},{"product_id":"human-phosphorylated-microtubule-associated-protein-tau-pmapt-elisa-kit-bhe12107236","title":"Human Phosphorylated Microtubule-associated Protein Tau, PMAPT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePhosphorylated Microtubule-associated Protein Tau (pMAPT)\u003c\/strong\u003e is a molecular target commonly studied in cell biology, cancer, and 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: P10636\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Phosphorylated Microtubule-associated Protein Tau (pMAPT) 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 Phosphorylated Microtubule-associated Protein Tau (pMAPT) 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\u003ePhosphorylated Microtubule-associated Protein Tau (pMAPT) 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 Phosphorylated Microtubule-associated Protein Tau (pMAPT) 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\u003ePhosphorylated Microtubule-associated Protein Tau (pMAPT)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eDDPAC\u003c\/strong\u003e, \u003cstrong\u003eFTDP-17\u003c\/strong\u003e, and \u003cstrong\u003eMAPTL\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":52952592941421,"sku":"E5874Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5874Hu.jpg?v=1769146861"},{"product_id":"human-pro-nerve-growth-factor-prongf-elisa-kit-bhe12107298","title":"Human Pro-nerve Growth Factor, PRONGF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ePro-nerve Growth Factor (NGF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P01138\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Pro-nerve Growth Factor (NGF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Pro-nerve Growth Factor (NGF) 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\u003ePro-nerve Growth Factor (NGF) 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 Pro-nerve Growth Factor (NGF) 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\u003ePro-nerve Growth Factor (NGF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBeta-nerve growth factor\u003c\/strong\u003e, \u003cstrong\u003eBeta-NGF\u003c\/strong\u003e, and \u003cstrong\u003eNGF\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":52952595628397,"sku":"E5936Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E5936Hu.jpg?v=1769146870"},{"product_id":"human-serum-amyloid-a-4-protein-saa4-elisa-kit-bhe12107527","title":"Human Serum Amyloid A-4 Protein, SAA4 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSerum Amyloid A-4 Protein (SAA4)\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: P35542\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Serum Amyloid A-4 Protein (SAA4) 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 Serum Amyloid A-4 Protein (SAA4) 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\u003eSerum Amyloid A-4 Protein (SAA4) 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 Serum Amyloid A-4 Protein (SAA4) 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\u003eSerum Amyloid A-4 Protein (SAA4)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eConstitutively expressed serum amyloid A protein\u003c\/strong\u003e, \u003cstrong\u003eCSAA\u003c\/strong\u003e, and \u003cstrong\u003eC-SAA\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":52952601723245,"sku":"E6165Hu-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E6165Hu.jpg?v=1769146914"},{"product_id":"mouse-brain-derived-neurotrophic-facor-bdnf-elisa-kit-bhe12107941","title":"Mouse Brain Derived Neurotrophic Facor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBrain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P21237\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Brain Derived Neurotrophic Facor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Brain Derived Neurotrophic Facor (BDNF) 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\u003eBrain Derived Neurotrophic Facor (BDNF) 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 Brain Derived Neurotrophic Facor (BDNF) 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\u003eBrain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBDNF\u003c\/strong\u003e, \u003cstrong\u003eBDNF precursor form\u003c\/strong\u003e, and \u003cstrong\u003eBrain-derived neurotrophic 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":52952609948013,"sku":"E0013Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0013Mo.jpg?v=1769146972"},{"product_id":"mouse-neurotrophin-3-nt-3-elisa-kit-bhe12108008","title":"Mouse Neurotrophin 3, NT-3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurotrophin 3 (NT-3)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and 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: P20181\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurotrophin 3 (NT-3) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurotrophin 3 (NT-3) 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\u003eNeurotrophin 3 (NT-3) 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 Neurotrophin 3 (NT-3) 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\u003eNeurotrophin 3 (NT-3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAI316846\u003c\/strong\u003e, \u003cstrong\u003eAI835689\u003c\/strong\u003e, and \u003cstrong\u003eHDNF\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":52952610963821,"sku":"E0084Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0084Mo.jpg?v=1769146979"},{"product_id":"mouse-alpha-synuclein-snca-elisa-kit-bhe12109265","title":"Mouse Alpha-Synuclein, SNCA ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: O55042\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Alpha-Synuclein (SNCA) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA) 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 Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eal\u003c\/strong\u003e, \u003cstrong\u003ealp\u003c\/strong\u003e, and \u003cstrong\u003ealphaSYN\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":52952622956909,"sku":"E1401Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1401Mo.jpg?v=1769147068"},{"product_id":"mouse-microtubule-associated-protein-tau-mapt-elisa-kit-bhe12109411","title":"Mouse Microtubule Associated Protein Tau, MAPT ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMicrotubule Associated Protein Tau (MAPt)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P10637\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Microtubule Associated Protein Tau (MAPt) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Microtubule Associated Protein Tau (MAPt) 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\u003eMicrotubule Associated Protein Tau (MAPt) 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 Microtubule Associated Protein Tau (MAPt) 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\u003eMicrotubule Associated Protein Tau (MAPt)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAI413597\u003c\/strong\u003e, \u003cstrong\u003eAW045860\u003c\/strong\u003e, and \u003cstrong\u003eMAPt\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":52952625742189,"sku":"E1564Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1564Mo.jpg?v=1769147088"},{"product_id":"mouse-amyloid-beta-a4-protein-app-elisa-kit-bhe12109648","title":"Mouse Amyloid Beta A4 Protein, APP ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAmyloid Beta A4 Protein (APP)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P12023\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Amyloid Beta A4 Protein (APP) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Amyloid Beta A4 Protein (APP) 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\u003eAmyloid Beta A4 Protein (APP) 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 Amyloid Beta A4 Protein (APP) 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\u003eAmyloid Beta A4 Protein (APP)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAbeta40\u003c\/strong\u003e, \u003cstrong\u003eAbeta42\u003c\/strong\u003e, and \u003cstrong\u003eABPP\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":52952631640429,"sku":"E1836Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1836Mo.jpg?v=1769147117"},{"product_id":"mouse-nt-3-growth-factors-receptor-ntrk2-elisa-kit-bhe12109686","title":"Mouse Nt-3 Growth Factors Receptor, NTRK2 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNt-3 Growth Factors Receptor (NTRK2)\u003c\/strong\u003e is a molecular target commonly studied in life science research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P15209\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Nt-3 Growth Factors Receptor (NTRK2) 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 Nt-3 Growth Factors Receptor (NTRK2) 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\u003eNt-3 Growth Factors Receptor (NTRK2) 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 Nt-3 Growth Factors Receptor (NTRK2) 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\u003eNt-3 Growth Factors Receptor (NTRK2)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBDNF\/NT-3 growth factors receptor\u003c\/strong\u003e, \u003cstrong\u003eGP145-TrkB\/GP95-TrkB\u003c\/strong\u003e, and \u003cstrong\u003eNeurotrophic tyrosine kinase receptor type 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":52952632525165,"sku":"E1874Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1874Mo.jpg?v=1769147122"},{"product_id":"mouse-interferon-epsilon-ifne-elisa-kit-bhe12109971","title":"Mouse Interferon Epsilon, IFNE ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInterferon Epsilon (IFNE)\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: Q80ZF2\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Interferon Epsilon (IFNE) 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 Interferon Epsilon (IFNE) 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\u003eInterferon Epsilon (IFNE) 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 Interferon Epsilon (IFNE) 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\u003eInterferon Epsilon (IFNE)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eIFN E\u003c\/strong\u003e, \u003cstrong\u003eIFNE\u003c\/strong\u003e, and \u003cstrong\u003eIFN-epsilon\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":52952642912621,"sku":"E2160Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2160Mo.jpg?v=1769147186"},{"product_id":"mouse-serum-amyloid-a-3-protein-saa3-elisa-kit-bhe12110276","title":"Mouse Serum Amyloid A-3 Protein, SAA3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSerum Amyloid A-3 Protein (SAA3)\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: P04918\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Serum Amyloid A-3 Protein (SAA3) 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 Serum Amyloid A-3 Protein (SAA3) 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\u003eSerum Amyloid A-3 Protein (SAA3) 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 Serum Amyloid A-3 Protein (SAA3) 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\u003eSerum Amyloid A-3 Protein (SAA3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAV098916\u003c\/strong\u003e, \u003cstrong\u003el7\u003c\/strong\u003e, and \u003cstrong\u003el7R3\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":52952654610797,"sku":"E2465Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2465Mo.jpg?v=1769147258"},{"product_id":"mouse-tumor-necrosis-factor-receptor-superfamily-member-16-ngfr-elisa-kit-bhe12110349","title":"Mouse Tumor Necrosis Factor Receptor Superfamily Member 16, NGFR ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTumor Necrosis Factor Receptor Superfamily Member 16 (NGFR)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience and stem cells 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: Q9Z0W1\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Tumor Necrosis Factor Receptor Superfamily Member 16 (NGFR) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Tumor Necrosis Factor Receptor Superfamily Member 16 (NGFR) 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\u003eTumor Necrosis Factor Receptor Superfamily Member 16 (NGFR) 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 Tumor Necrosis Factor Receptor Superfamily Member 16 (NGFR) 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\u003eTumor Necrosis Factor Receptor Superfamily Member 16 (NGFR)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eCD antigen CD271\u003c\/strong\u003e, \u003cstrong\u003eLN\u003c\/strong\u003e, and \u003cstrong\u003eLNGFR\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":52952657363309,"sku":"E2538Mo-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2538Mo.jpg?v=1769147276"},{"product_id":"porcine-neurofilament-heavy-polypeptide-nefh-elisa-kit-bhe12110755","title":"Porcine Neurofilament Heavy Polypeptide, NEFH ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurofilament Heavy Polypeptide (NEFH)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P12037\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurofilament Heavy Polypeptide (NEFH) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurofilament Heavy Polypeptide (NEFH) 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\u003eNeurofilament Heavy Polypeptide (NEFH) 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 Neurofilament Heavy Polypeptide (NEFH) 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\u003eNeurofilament Heavy Polypeptide (NEFH)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003e200 kDa neurofilament protein\u003c\/strong\u003e, \u003cstrong\u003eFragment\u003c\/strong\u003e, and \u003cstrong\u003eNEFH\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":52952660902253,"sku":"E0359Po-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0359Po.jpg?v=1769147304"},{"product_id":"porcine-brain-derived-neurotrophic-factor-bdnf-elisa-kit-bhe12110910","title":"Porcine Brain-derived Neurotrophic Factor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBrain-derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P14082\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Brain-derived Neurotrophic Factor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Brain-derived Neurotrophic Factor (BDNF) 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\u003eBrain-derived Neurotrophic Factor (BDNF) 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 Brain-derived Neurotrophic Factor (BDNF) 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\u003eBrain-derived Neurotrophic Factor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBDNF\u003c\/strong\u003e, \u003cstrong\u003eBDNF precursor form\u003c\/strong\u003e, and \u003cstrong\u003eBrain-derived neurotrophic 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":52952662344045,"sku":"E0537Po-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0537Po.jpg?v=1769147313"},{"product_id":"rabbit-serum-amyloid-a1-saa1-elisa-kit-bhe12111314","title":"Rabbit Serum Amyloid A1, SAA1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSerum Amyloid A1 (SAA1)\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: P53614\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Serum Amyloid A1 (SAA1) 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 Serum Amyloid A1 (SAA1) 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\u003eSerum Amyloid A1 (SAA1) 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 Serum Amyloid A1 (SAA1) 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\u003eSerum Amyloid A1 (SAA1)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eOC\u003c\/strong\u003e, \u003cstrong\u003ePIG4\u003c\/strong\u003e, and \u003cstrong\u003eSAA1\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":52952666276205,"sku":"E0355Rb-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0355Rb.jpg?v=1769147343"},{"product_id":"rat-connective-tissue-growth-factor-ctgf-elisa-kit-bhe12111652","title":"Rat Connective Tissue Growth Factor, CTGF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eConnective Tissue Growth Factor (NGF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P25427\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Connective Tissue Growth Factor (NGF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Connective Tissue Growth Factor (NGF) 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\u003eConnective Tissue Growth Factor (NGF) 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 Connective Tissue Growth Factor (NGF) 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\u003eConnective Tissue Growth Factor (NGF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBeta-nerve growth factor\u003c\/strong\u003e, \u003cstrong\u003eBeta-NGF\u003c\/strong\u003e, and \u003cstrong\u003eNGF\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":52952670798189,"sku":"E0356Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0356Ra.jpg?v=1769147369"},{"product_id":"rat-brain-derived-neurotrophic-facor-bdnf-elisa-kit-bhe12111764","title":"Rat Brain Derived Neurotrophic Facor, BDNF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBrain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and metabolism research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P23363\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Brain Derived Neurotrophic Facor (BDNF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Brain Derived Neurotrophic Facor (BDNF) 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\u003eBrain Derived Neurotrophic Facor (BDNF) 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 Brain Derived Neurotrophic Facor (BDNF) 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\u003eBrain Derived Neurotrophic Facor (BDNF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBDNF\u003c\/strong\u003e, \u003cstrong\u003eBDNF precursor form\u003c\/strong\u003e, and \u003cstrong\u003eBrain-derived neurotrophic 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":52952672600429,"sku":"E0476Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0476Ra.jpg?v=1769147373"},{"product_id":"rat-neurotrophin-3-nt-3-elisa-kit-bhe12111824","title":"Rat Neurotrophin 3, NT-3 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurotrophin 3 (NT-3)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience, cardiovascular, and 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: P18280\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurotrophin 3 (NT-3) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurotrophin 3 (NT-3) 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\u003eNeurotrophin 3 (NT-3) 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 Neurotrophin 3 (NT-3) 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\u003eNeurotrophin 3 (NT-3)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eHDNF\u003c\/strong\u003e, \u003cstrong\u003eNerve growth factor 2\u003c\/strong\u003e, and \u003cstrong\u003eNeurotrophic 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":52952673649005,"sku":"E0543Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E0543Ra.jpg?v=1769147376"},{"product_id":"rat-alpha-synuclein-snca-elisa-kit-bhe12112361","title":"Rat Alpha-Synuclein, SNCA ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P37377\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Alpha-Synuclein (SNCA) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA) 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 Alpha-Synuclein (SNCA) 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\u003eAlpha-Synuclein (SNCA)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAlpha-synuclein\u003c\/strong\u003e and \u003cstrong\u003eSNCA\u003c\/strong\u003e in publications and databases. 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This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P19332\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Microtubule Associated Protein Tau (MAPt) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Microtubule Associated Protein Tau (MAPt) 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\u003eMicrotubule Associated Protein Tau (MAPt) 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 Microtubule Associated Protein Tau (MAPt) 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\u003eMicrotubule Associated Protein Tau (MAPt)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eMAPt\u003c\/strong\u003e, \u003cstrong\u003eMicrotubule-associated protein tau\u003c\/strong\u003e, and \u003cstrong\u003eMtapt\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":52952684331373,"sku":"E1191Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1191Ra.jpg?v=1769147425"},{"product_id":"rat-beta-nerve-growth-factor-b-ngf-elisa-kit-bhe12112919","title":"Rat Beta Nerve Growth Factor, B-NGF ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBeta Nerve Growth Factor (NGF)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. Growth factors regulate proliferation, survival, differentiation, and tissue remodeling through receptor-mediated signaling.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P25427\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Beta Nerve Growth Factor (NGF) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Beta Nerve Growth Factor (NGF) 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\u003eBeta Nerve Growth Factor (NGF) 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 Beta Nerve Growth Factor (NGF) 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\u003eBeta Nerve Growth Factor (NGF)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eBeta-nerve growth factor\u003c\/strong\u003e, \u003cstrong\u003eBeta-NGF\u003c\/strong\u003e, and \u003cstrong\u003eNGF\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":52952695013741,"sku":"E1713Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1713Ra.jpg?v=1769147466"},{"product_id":"rat-neurofilament-light-polypeptide-nefl-elisa-kit-bhe12112953","title":"Rat Neurofilament Light Polypeptide, NEFL ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNeurofilament Light Polypeptide (NEFL)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P19527\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Neurofilament Light Polypeptide (NEFL) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Neurofilament Light Polypeptide (NEFL) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. 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Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952695800173,"sku":"E1747Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1747Ra.jpg?v=1769147474"},{"product_id":"rat-amyloid-beta-a4-protein-app-elisa-kit-bhe12113058","title":"Rat Amyloid Beta A4 Protein, APP ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAmyloid Beta A4 Protein (APP)\u003c\/strong\u003e is a molecular target commonly studied in neuroscience research. This molecule is commonly investigated as part of broader signaling, regulatory, or homeostatic networks.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eUniProt\u003c\/strong\u003e: P08592\u003c\/p\u003e\u003ch2\u003eBiological role and pathway context\u003c\/h2\u003e\u003cp\u003eIn the literature, Amyloid Beta A4 Protein (APP) is frequently examined in relation to neuronal signaling and synaptic function, neuroinflammation and glial responses, and neurodegeneration models. Depending on the model system, changes in abundance can be associated with shifts in signaling state, cellular composition, or tissue physiology.\u003c\/p\u003e\u003ch2\u003eExpression and regulation\u003c\/h2\u003e\u003cp\u003eExpression of Amyloid Beta A4 Protein (APP) can vary across tissues and cell types and may change under conditions such as immune activation, stress responses, injury, infection, or metabolic perturbation. 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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\u003eAmyloid Beta A4 Protein (APP)\u003c\/strong\u003e may also be referred to as \u003cstrong\u003eAbeta40\u003c\/strong\u003e, \u003cstrong\u003eAbeta42\u003c\/strong\u003e, and \u003cstrong\u003eABPP\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":52952698356077,"sku":"E1859Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E1859Ra.jpg?v=1769147491"},{"product_id":"rat-kallikrein-1-klk-1-elisa-kit-bhe12113254","title":"Rat Kallikrein 1, KLK 1 ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eKLK 1\u003c\/strong\u003e is a molecular target commonly studied in cardiovascular research. 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Nomenclature differences and species context can influence how results are compared across studies.\u003c\/p\u003e","brand":"Bioassay Technology Laboratory","offers":[{"title":"96T","offer_id":52952704942445,"sku":"E2122Ra-96T","price":458.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/E2122Ra.jpg?v=1769147528"}],"url":"https:\/\/www.ebiohippo.com\/collections\/rtc-neuroscience-neurological-biomarkers-elisa-kits.oembed?page=11","provider":"BioHippo","version":"1.0","type":"link"}