{"title":"Pharmacokinetic ELISA Kits","description":"\u003cp\u003eQuantify therapeutic drug concentrations in serum, plasma, and tissue with assays optimized for biologic monitoring. Our PK ELISA kits are designed for preclinical and clinical pharmacokinetic studies — covering therapeutic antibodies including Adalimumab (Humira), Natalizumab (Tysabri), Tocilizumab (Actemra), Omalizumab (Xolair), and more. Each kit is validated for sensitivity, specificity, and matrix compatibility to support reliable drug exposure data across study timepoints.\u003c\/p\u003e","products":[{"product_id":"adalimumab-humira-pharmacokinetic-elisa-bhe18300001","title":"Adalimumab (Humira) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAdalimumab (Humira) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Adalimumab (Humira) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Adalimumab (Humira) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Adalimumab (Humira) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693544301,"sku":"EL-1611-011-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3.jpg?v=1769074193"},{"product_id":"bevacizumab-avastin-pharmacokinetic-elisa-bhe18300002","title":"Bevacizumab (Avastin) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBevacizumab (Avastin) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Bevacizumab (Avastin) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Bevacizumab (Avastin) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Bevacizumab (Avastin) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693577069,"sku":"EL-1611-021-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_72adf560-2dda-44be-a977-e069e492b0b4.jpg?v=1769074193"},{"product_id":"cetuximab-erbitux-pharmacokinetic-elisa-bhe18300003","title":"Cetuximab (Erbitux) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCetuximab (Erbitux) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Cetuximab (Erbitux) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Cetuximab (Erbitux) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Cetuximab (Erbitux) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693609837,"sku":"EL-1611-031-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_c87b9703-3d3b-4aa3-aec2-5757c628bf2b.jpg?v=1769074193"},{"product_id":"etanercept-enbrel-pharmacokinetic-elisa-bhe18300004","title":"Etanercept (Enbrel) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEtanercept (Enbrel) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Etanercept (Enbrel) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Etanercept (Enbrel) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Etanercept (Enbrel) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693642605,"sku":"EL-1611-051-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_90308f58-4509-4410-ad2f-9d3e9042efdd.jpg?v=1769074193"},{"product_id":"infliximab-remicade-pharmacokinetic-elisa-bhe18300005","title":"Infliximab (Remicade) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInfliximab (Remicade) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Infliximab (Remicade) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Infliximab (Remicade) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Infliximab (Remicade) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693675373,"sku":"EL-1611-091-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_1e3c2d85-2ff6-4956-bd07-a287764fe75c.jpg?v=1769074194"},{"product_id":"natalizumab-tysabri-pharmacokinetic-elisa-bhe18300006","title":"Natalizumab (Tysabri) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eNatalizumab (Tysabri) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Natalizumab (Tysabri) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Natalizumab (Tysabri) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Natalizumab (Tysabri) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693708141,"sku":"EL-1611-141-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_0bfb53bf-c4b5-492a-b4fc-42d7766e9096.jpg?v=1769074194"},{"product_id":"omalizumab-xolair-pharmacokinetic-elisa-bhe18300007","title":"Omalizumab (Xolair) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eOmalizumab (Xolair) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Omalizumab (Xolair) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Omalizumab (Xolair) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Omalizumab (Xolair) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693740909,"sku":"EL-1611-152-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_7627450f-efda-4751-9c58-c02a305d3739.jpg?v=1769074194"},{"product_id":"rituximab-rituxan-pharmacokinetic-elisa-bhe18300008","title":"Rituximab (Rituxan) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRituximab (Rituxan) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Rituximab (Rituxan) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Rituximab (Rituxan) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Rituximab (Rituxan) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693773677,"sku":"EL-1611-181-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_4441adfe-54f5-47ae-8d3c-54d337cbe2ab.jpg?v=1769074195"},{"product_id":"trastuzumab-herceptin-pharmacokinetic-elisa-bhe18300009","title":"Trastuzumab (Herceptin) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTrastuzumab (Herceptin) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Trastuzumab (Herceptin) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Trastuzumab (Herceptin) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Trastuzumab (Herceptin) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693806445,"sku":"EL-1611-201-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_64fccc38-df7a-4964-8491-1be9c359fbb1.jpg?v=1769074195"},{"product_id":"tocilizumab-actemra-pharmacokinetic-elisa-bhe18300010","title":"Tocilizumab (Actemra) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTocilizumab (Actemra) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Tocilizumab (Actemra) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Tocilizumab (Actemra) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Tocilizumab (Actemra) Pharmacokinetic participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693839213,"sku":"EL-1611-202-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_930d673a-3aa8-4135-a952-760e6b41c248.jpg?v=1769074195"},{"product_id":"rituximab-rituxan-immunogenicity-elisa-bhe18300011","title":"Rituximab (Rituxan) Immunogenicity ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRituximab (Rituxan) Immunogenicity\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Rituximab (Rituxan) Immunogenicity in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Rituximab (Rituxan) Immunogenicity may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Rituximab (Rituxan) Immunogenicity participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693871981,"sku":"EL-141-181-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_e82218ea-48f0-464f-8227-a01d014d87bc.jpg?v=1769074196"},{"product_id":"trastuzumab-herceptin-immunogenicity-elisa-bhe18300012","title":"Trastuzumab (Herceptin) Immunogenicity ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTrastuzumab (Herceptin) Immunogenicity\u003c\/strong\u003e is a biological molecule commonly studied in life science research. It is commonly used as a molecular readout in mechanistic and biomarker-focused studies.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Trastuzumab (Herceptin) Immunogenicity in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Trastuzumab (Herceptin) Immunogenicity may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. When integrating results with other readouts, consider species biology, sample type, and the broader pathway context that Trastuzumab (Herceptin) Immunogenicity participates in.\u003c\/p\u003e","brand":"AffinityImmuno Inc.","offers":[{"title":"96 wells × 1","offer_id":52950693904749,"sku":"EL-141-201-96WELLSX1","price":859.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/AffinityImmuno-Product-3_0f51ce42-2b3b-4f37-9884-8c03c5923d8b.jpg?v=1769074196"},{"product_id":"human-growth-hormone-hgh-somatropin-pharmacokinetic-elisa-bhe18300018","title":"Human growth hormone (hGH) (Somatropin) Pharmacokinetic ELISA (RUO)","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eHuman growth hormone (hGH) (Somatropin) Pharmacokinetic\u003c\/strong\u003e is a biological molecule commonly studied in life science research. Hormones and peptide mediators support systemic communication across organs and physiological states.\u003c\/p\u003e\u003ch2\u003eBiological context\u003c\/h2\u003e\u003cp\u003eResearchers often monitor Human growth hormone (hGH) (Somatropin) Pharmacokinetic in Serum Plasma to better understand themes such as mechanistic biology studies, biomarker-focused profiling, and disease-model research. In many model systems, measured levels can shift with physiology, experimental perturbation, or disease-associated changes, making careful biological interpretation important.\u003c\/p\u003e\u003ch2\u003eInterpreting changes in measured levels\u003c\/h2\u003e\u003cp\u003eDepending on sample matrix and study design, increases or decreases in Human growth hormone (hGH) (Somatropin) Pharmacokinetic may reflect differences in expression, secretion, turnover, or compartmentalization rather than a single mechanism. Interpretation is typically strengthened by evaluating related molecules (for example, complementary pathway markers and controls appropriate to the biological model) and by keeping pre-analytical variables consistent across groups.\u003c\/p\u003e\u003ch2\u003eWhy quantitative measurements are widely used\u003c\/h2\u003e\u003cp\u003eQuantitative immunoassays are widely used for measuring proteins and biomarkers in complex samples, enabling comparisons across experimental groups and time points. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBevacizumab (Avastin)\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eAvastin\u003c\/strong\u003e and \u003cstrong\u003eBevacizumab\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Bevacizumab relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Bevacizumab levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Adalimumab antibody\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eAnti-Adalimumab\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-Adalimumab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-Adalimumab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTrastuzumab\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eTrastuzumab\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Trastuzumab relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Trastuzumab levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. If multiple molecular forms are expected in your model, align interpretation with the form most relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eTrastuzumab has been investigated across diverse physiological and disease contexts, and changes in its abundance have been reported in areas aligned with biomedical studies. These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975483650413,"sku":"EH5144-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_331907be-8059-4768-aecf-9f8cc30aacc3.jpg?v=1769599856"},{"product_id":"infliximab-elisa-kit-bhe10809996","title":"Infliximab ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003euniversal Infliximab (TNF)\u003c\/strong\u003e is a molecular target commonly studied in biomedical research. Many proteins are studied as molecular readouts that can change with cellular state, tissue remodeling, or stress responses.\u003c\/p\u003e\u003ch2\u003eBiological role and mechanism\u003c\/h2\u003e\u003cp\u003eThe biological role of Infliximab is typically understood in terms of its molecular category and interaction network. Depending on the model system, it may participate in cell–cell communication, intracellular signaling, enzymatic processing, or regulation of gene expression programs. Mechanistic interpretation is often strengthened by considering upstream regulators and downstream readouts rather than relying on a single marker.\u003c\/p\u003e\u003cp\u003eExpression and abundance of Infliximab can vary by tissue, cell type, and physiological state. In many systems, levels are influenced by factors such as developmental stage, immune activation, metabolic status, and cellular stress. Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInfliximab (TNF)\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eTumor necrosis factor\u003c\/strong\u003e, \u003cstrong\u003eCachectin\u003c\/strong\u003e, and \u003cstrong\u003eTNF-alpha\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Infliximab relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Infliximab levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975486533997,"sku":"EU3589-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_6523dbc7-fad6-45cf-9d5f-e387dfa72736.jpg?v=1769599878"},{"product_id":"anti-infliximab-antibody-elisa-kit-bhe10809997","title":"Anti-Infliximab antibody ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003euniversal Anti-Infliximab antibody (TNF)\u003c\/strong\u003e is a molecular target commonly studied in biomedical research. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Infliximab antibody (TNF)\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eTumor necrosis factor\u003c\/strong\u003e, \u003cstrong\u003eCachectin\u003c\/strong\u003e, and \u003cstrong\u003eTNF-alpha\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-Infliximab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-Infliximab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-trastuzumab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-trastuzumab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-trastuzumab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-trastuzumab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Rituximab antibody\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eAnti-Rituximab\u003c\/strong\u003e and \u003cstrong\u003eRituximab antibody\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-Rituximab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-Rituximab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eUstekinumab (IL)\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eUstekinumab\u003c\/strong\u003e and \u003cstrong\u003eAnti-Human IL-12\/IL-23, Human Antibody\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Ustekinumab relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Ustekinumab levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. 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These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975565504877,"sku":"EH5320-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_6b621dae-de21-4066-b852-d6cebfea7923.jpg?v=1769600657"},{"product_id":"human-anti-ustekinumab-antibody-elisa-kit-bhe10812159","title":"Human Anti-Ustekinumab antibody ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ehuman Anti-Ustekinumab antibody\u003c\/strong\u003e is a molecular target commonly studied in biomedical research. Autoantibodies are immune proteins that recognize self-antigens, and their presence can reflect changes in immune tolerance or chronic antigen exposure.\u003c\/p\u003e\u003ch2\u003eBiological role and mechanism\u003c\/h2\u003e\u003cp\u003eThe biological role of Anti-Ustekinumab antibody is typically understood in terms of its molecular category and interaction network. Depending on the model system, it may participate in cell–cell communication, intracellular signaling, enzymatic processing, or regulation of gene expression programs. Mechanistic interpretation is often strengthened by considering upstream regulators and downstream readouts rather than relying on a single marker.\u003c\/p\u003e\u003cp\u003eExpression and abundance of Anti-Ustekinumab antibody can vary by tissue, cell type, and physiological state. In many systems, levels are influenced by factors such as developmental stage, immune activation, metabolic status, and cellular stress. Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Ustekinumab antibody\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eUstekinumab antibody\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-Ustekinumab antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-Ustekinumab antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. If multiple molecular forms are expected in your model, align interpretation with the form most relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eAnti-Ustekinumab antibody has been investigated across diverse physiological and disease contexts, and changes in its abundance have been reported in areas aligned with biomedical studies. These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975565537645,"sku":"EH5321-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_5011c1f3-e03a-453a-827b-74c2edffe3ea.jpg?v=1769600658"},{"product_id":"human-anti-t-dxd-trastuzumab-deruxtecan-antibody-elisa-kit-bhe10812190","title":"Human Anti-T-DXd (trastuzumab deruxtecan) antibody ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003ehuman Anti-T-DXd (trastuzumab deruxtecan) antibody\u003c\/strong\u003e is a molecular target commonly studied in biomedical research. Autoantibodies are immune proteins that recognize self-antigens, and their presence can reflect changes in immune tolerance or chronic antigen exposure.\u003c\/p\u003e\u003ch2\u003eBiological role and mechanism\u003c\/h2\u003e\u003cp\u003eThe biological role of Anti-T-DXd (trastuzumab deruxtecan) antibody is typically understood in terms of its molecular category and interaction network. Depending on the model system, it may participate in cell–cell communication, intracellular signaling, enzymatic processing, or regulation of gene expression programs. Mechanistic interpretation is often strengthened by considering upstream regulators and downstream readouts rather than relying on a single marker.\u003c\/p\u003e\u003cp\u003eExpression and abundance of Anti-T-DXd (trastuzumab deruxtecan) antibody can vary by tissue, cell type, and physiological state. In many systems, levels are influenced by factors such as developmental stage, immune activation, metabolic status, and cellular stress. Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-T-DXd (trastuzumab deruxtecan) antibody\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eAnti-T-DXd\u003c\/strong\u003e, \u003cstrong\u003eAnti-trastuzumab deruxtecan\u003c\/strong\u003e, and \u003cstrong\u003etrastuzumab deruxtecan antibody\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Anti-T-DXd (trastuzumab deruxtecan) antibody relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Anti-T-DXd (trastuzumab deruxtecan) antibody levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. If multiple molecular forms are expected in your model, align interpretation with the form most relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eAnti-T-DXd (trastuzumab deruxtecan) antibody has been investigated across diverse physiological and disease contexts, and changes in its abundance have been reported in areas aligned with biomedical studies. These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975567962477,"sku":"EH5357-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_77dd0fd2-5d83-4a20-9b2a-86976ced0df6.jpg?v=1769600671"},{"product_id":"trastuzumab-emtansine-elisa-kit-bhe10812706","title":"Trastuzumab Emtansine ELISA Kit","description":"\u003ch2\u003eBackground\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003euniversal Trastuzumab Emtansine (PRO132365)\u003c\/strong\u003e is a molecular target commonly studied in biomedical research. Many proteins are studied as molecular readouts that can change with cellular state, tissue remodeling, or stress responses.\u003c\/p\u003e\u003ch2\u003eBiological role and mechanism\u003c\/h2\u003e\u003cp\u003eThe biological role of Trastuzumab Emtansine is typically understood in terms of its molecular category and interaction network. Depending on the model system, it may participate in cell–cell communication, intracellular signaling, enzymatic processing, or regulation of gene expression programs. Mechanistic interpretation is often strengthened by considering upstream regulators and downstream readouts rather than relying on a single marker.\u003c\/p\u003e\u003cp\u003eExpression and abundance of Trastuzumab Emtansine can vary by tissue, cell type, and physiological state. In many systems, levels are influenced by factors such as developmental stage, immune activation, metabolic status, and cellular stress. Because sample matrix and pre-analytical handling can affect measured concentrations, interpretation is typically strongest when experiments keep collection and processing consistent across groups.\u003c\/p\u003e\u003ch2\u003eNomenclature and related terms\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTrastuzumab Emtansine (PRO132365)\u003c\/strong\u003e may also be referenced as \u003cstrong\u003eTrastuzumab Emtansine\u003c\/strong\u003e, \u003cstrong\u003eAdo-Trastuzumab emtansine\u003c\/strong\u003e, and \u003cstrong\u003ePRO132365\u003c\/strong\u003e in the literature or in databases. When comparing results across studies, confirm that the reported analyte refers to the same molecule, species context, and molecular form (e.g., precursor vs mature protein, or soluble vs membrane-associated forms).\u003c\/p\u003e\u003ch2\u003eWhy it matters in research\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003eUnderstanding how Trastuzumab Emtansine relates to signal transduction, tissue homeostasis, stress responses, and disease-model biology in biomedical research.\u003c\/li\u003e\n\u003cli\u003eInterpreting shifts in Trastuzumab Emtansine levels alongside other pathway components or complementary markers.\u003c\/li\u003e\n\u003cli\u003eConnecting molecular changes to phenotypes such as inflammation, remodeling, metabolism shifts, or cell-state transitions (context-dependent).\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eMolecular forms and interpretation\u003c\/h2\u003e\u003cp\u003eFor some targets, isoforms, proteolytic processing, or post-translational modifications (such as phosphorylation or glycosylation) can influence function and apparent abundance. If multiple molecular forms are expected in your model, align interpretation with the form most relevant to the biological question.\u003c\/p\u003e\u003ch2\u003eDisease and translational relevance\u003c\/h2\u003e\u003cp\u003eTrastuzumab Emtansine has been investigated across diverse physiological and disease contexts, and changes in its abundance have been reported in areas aligned with biomedical studies. These associations are interpreted as research findings rather than diagnostic or therapeutic claims, and they should be evaluated alongside model-specific covariates and study design.\u003c\/p\u003e","brand":"Fine Test","offers":[{"title":"96 T","offer_id":52975593488749,"sku":"EU2672-96T","price":520.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/elisa_e44e40ab-6873-4d0b-a397-6e1d17ad23f9.jpg?v=1769600828"},{"product_id":"anti-ustekinumab-elisa-kit-bhe21400145","title":"Anti-Ustekinumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Ustekinumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eUstekinumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eUstekinumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Ustekinumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Ustekinumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Ustekinumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Ustekinumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Ustekinumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047345742189,"sku":"AB769018-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_90099112-a50e-43ff-b58b-df9ed7775132.png?v=1772020745"},{"product_id":"cetuximab-elisa-kit-bhe21400123","title":"Cetuximab ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCetuximab ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eCetuximab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 78.125 - 5,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCetuximab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). 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Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. 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It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eInfliximab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Infliximab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Infliximab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Infliximab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Infliximab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Infliximab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047346233709,"sku":"AF879028-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_df4b82e0-6188-4661-9cfa-0898871d56de.png?v=1772020745"},{"product_id":"anti-bevacizumab-elisa-kit-bhe21400135","title":"Anti-Bevacizumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Bevacizumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eBevacizumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBevacizumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Bevacizumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Bevacizumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Bevacizumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Bevacizumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Bevacizumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047346299245,"sku":"AB941018-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_60b43c40-6d64-48f2-8092-307a9c2c537d.png?v=1772020746"},{"product_id":"anti-adalimumab-elisa-kit-bhe21400134","title":"Anti-Adalimumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Adalimumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eAdalimumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL; analytical sensitivity 83.1 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePRINCIPLE OF THE ASSAY This assay employs the quantitative sandwich enzyme immunoassay technique. Adalimumab has been pre-coated onto a microplate. Samples or standards are pipetted into microwells and Anti-Adalimumab will be captured by immobilized Adalimumab. After washing away any unbound substances, a biotin-labeled Adalimumab is added to the wells. After washing away any unbound substances, Streptavidin-HRP is added to the wells. Following a wash to remove any unbound enzyme reagent, a substrate solution is added to the wells and color develops in proportion to the amount of Anti-Adalimumab bound in the initial step. The color development is stopped and the intensity of the color is measured.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAdalimumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Adalimumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Adalimumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Adalimumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Adalimumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Adalimumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047346626925,"sku":"AF879018-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_40fa2664-669a-4e82-b97a-c010fd749b9d.png?v=1772020747"},{"product_id":"anti-trastuzumab-elisa-kit-bhe21400138","title":"Anti-Trastuzumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Trastuzumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eTrastuzumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eTrastuzumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Trastuzumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Trastuzumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Trastuzumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Trastuzumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Trastuzumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047347937645,"sku":"AY286018-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_c6b147e5-18bd-42cf-bbb0-d575fc2244e1.png?v=1772020747"},{"product_id":"anti-rituximab-elisa-kit-bhe21400151","title":"Anti-Rituximab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Rituximab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eRituximab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eRituximab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Rituximab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Rituximab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Rituximab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Rituximab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Rituximab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047348822381,"sku":"AY257018-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_294e60b9-a2a1-43ce-9577-11e42da66ea4.png?v=1772020752"},{"product_id":"anti-cetuximab-elisa-kit-bhe21400158","title":"Anti-Cetuximab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Cetuximab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eCetuximab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCetuximab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Cetuximab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Cetuximab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Cetuximab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Cetuximab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Cetuximab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047348855149,"sku":"AF004028-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_433a9455-c608-4524-afa0-58eca6cf95e1.png?v=1772020752"},{"product_id":"anti-etanercept-elisa-kit-bhe21400161","title":"Anti-Etanercept ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Etanercept ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eEtanercept\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 156.25 - 10,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEtanercept\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Etanercept - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Etanercept - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Etanercept - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Etanercept - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Etanercept --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047348887917,"sku":"AF879058-96T","price":1398.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_f07308a0-1b08-4da1-93ae-f0abf90b4941.png?v=1772020752"},{"product_id":"ustekinumab-elisa-kit-bhe21400095","title":"Ustekinumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eUstekinumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eUstekinumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 31.25 - 2,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eUstekinumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Ustekinumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Ustekinumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Ustekinumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Ustekinumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Ustekinumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047349379437,"sku":"DB769018-96T","price":1126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_43726c0c-1e32-4194-a44e-b37fedbabf84.png?v=1772020744"},{"product_id":"anti-bevacizumab-neutralizing-antibody-elisa-kit-bhe21400187","title":"Anti-Bevacizumab Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Bevacizumab Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eBevacizumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBevacizumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Bevacizumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Bevacizumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Bevacizumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Bevacizumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Bevacizumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047349543277,"sku":"AB941528-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_78a1f617-ed05-45cf-b70c-8ba6c17e2acb.png?v=1772020757"},{"product_id":"anti-etanercept-neutralizing-antibody-elisa-kit-bhe21400192","title":"Anti-Etanercept Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Etanercept Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eEtanercept\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEtanercept\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Etanercept - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Etanercept - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Etanercept - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Etanercept - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Etanercept --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047349641581,"sku":"AF879518-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_23666e2d-30c6-4ee4-948a-6bd5026d0cce.png?v=1772020756"},{"product_id":"etanercept-elisa-kit-bhe21400130","title":"Etanercept ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEtanercept ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eEtanercept\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 78.125 - 5,000 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eEtanercept\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Etanercept - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Etanercept - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Etanercept - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Etanercept - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Etanercept --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047350067565,"sku":"DF879058-96T","price":1126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_00777419-e8f2-4761-8e45-98cb804c9f48.png?v=1772020747"},{"product_id":"anti-secukinumab-neutralizing-antibody-elisa-kit-bhe21400181","title":"Anti-Secukinumab Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Secukinumab Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eSecukinumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSecukinumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Secukinumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Secukinumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Secukinumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Secukinumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Secukinumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047350165869,"sku":"AS856518-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_71aea9b8-a0fa-4646-b60a-f55a9b956fef.png?v=1772020754"},{"product_id":"anti-ustekinumab-neutralizing-antibody-elisa-kit-bhe21400184","title":"Anti-Ustekinumab Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Ustekinumab Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eUstekinumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eUstekinumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Ustekinumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Ustekinumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Ustekinumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Ustekinumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Ustekinumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047350362477,"sku":"AB769518-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_d92f0c01-3877-49d0-b357-abae7d42341f.png?v=1772020761"},{"product_id":"anti-adalimumab-neutralizing-antibody-elisa-kit-bhe21400197","title":"Anti-Adalimumab Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Adalimumab Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eAdalimumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAdalimumab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Adalimumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Adalimumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Adalimumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Adalimumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Adalimumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047350559085,"sku":"AF879048-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_313041db-41cd-493d-b034-137b347c0271.png?v=1772020758"},{"product_id":"anti-cetuximab-neutralizing-antibody-elisa-kit-bhe21400193","title":"Anti-Cetuximab Neutralizing Antibody ELISA kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eAnti-Cetuximab Neutralizing Antibody ELISA kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eCetuximab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 15.625-1,000 ng\/ml. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis kit is supplied for research use in laboratory settings where defined, quantitative readouts are needed for experimental interpretation.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eCetuximab\u003c\/strong\u003e is a commonly studied research analyte. Its biological roles and regulation can be context-dependent (cell type, tissue state, and experimental perturbation). For authoritative gene\/protein function summaries and nomenclature, researchers typically consult curated databases.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Cetuximab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Cetuximab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Cetuximab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Cetuximab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Cetuximab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047350821229,"sku":"AF004528-96T","price":2198.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_a2384f30-b4c0-4fb0-b93b-1b873db5bcad.png?v=1772020756"},{"product_id":"secukinumab-elisa-kit-bhe21400240","title":"Secukinumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eSecukinumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eSecukinumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 937.5 - 15,000 ng\/mL; analytical sensitivity 715.94 ng\/mL.. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePRINCIPLE OF THE ASSAY This assay employs the quantitative indirect enzyme immunoassay technique. Recombinant Human IL17A has been pre-coated onto a microplate. Standards or samples are pipetted into the wells and any Secukinumab present is bound by the immobilized protein. After washing away any unbound substances, abiotin-labeled Mouse Anti-Human IgG antibody is added to the wells. After washing away any unbound substances, Streptavidin-HRP is added to the wells. Following a wash to remove any unbound enzyme reagent, a substrate solution is added to the wells and color develops in proportion to the amount of Secukinumab bound in the initial step. The color development is stopped and the intensity of the color is measured.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003eSecukinumab (Cosentyx) is a fully human IgG1\/κ-class monoclonal antibody (mAb) composed of 215 light chain amino acids and 457 heavy chain amino acids. It was discovered and developed by Novartis with the developmental name AIN457, for the treatment of uveitis, rheumatoid arthritis, ankylosing spondylitis, and psoriasis. It is produced in Chinese Hamster Ovary (CHO) cells using recombinant DNA technology.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Secukinumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Secukinumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Secukinumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Secukinumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Secukinumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047352623469,"sku":"DS856058-96T","price":1126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_d0f86b6c-c795-4c36-ae40-dfcd059d86b4.png?v=1772020761"},{"product_id":"bevacizumab-elisa-kit-bhe21400314","title":"Bevacizumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eBevacizumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eBevacizumab\u003c\/strong\u003e in research samples. It is commonly used to generate traceable concentration data for biomarker discovery, pathway studies, and comparative analyses across experimental conditions.\u003c\/p\u003e\u003ch2\u003eKey elements and design rationale\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay format:\u003c\/strong\u003e Quantitative Colorimetric ELISA. The format defines how signal scales with analyte abundance and how results are interpreted across a standard curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eWorking range and sensitivity:\u003c\/strong\u003e dynamic range 312.5 - 20,000 ng\/mL; analytical sensitivity 98.1 ng\/mL. Use these values to plan dilutions and keep readouts within the linear portion of the calibration curve.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eSample compatibility:\u003c\/strong\u003e Intended for Plasma, Serum matrices. As with most immunoassays, matrix composition can influence apparent signal and should be evaluated with dilution linearity and spike-recovery concepts.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eRecovery reference:\u003c\/strong\u003e Typical recovery is reported as 80-120%. Recovery helps assess whether the sample matrix interferes with detection of spiked analyte.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003ePRINCIPLE OF THE ASSAY This assay employs the quantitative competitive enzyme immunoassay technique. Recombinant Human VEGFA has been pre-coated onto a microplate. Standards or samples are premixed with biotin-labeled antibody and then pipetted into the wells. Bevacizumab in the sample competitively binds to the pre-coated protein with biotin-labeled Bevacizumab. After washing away any unbound substances, Streptavidin-HRP is added to the wells. Following a wash to remove any unbound enzyme reagent, a substrate solution is added to the wells and color develops in inversely proportion to the amount of Bevacizumab bound in the initial step. The color development is stopped and the intensity of the color is measured.\u003c\/p\u003e\u003ch2\u003eBiological background\u003c\/h2\u003e\u003cp\u003eBevacizumab is a recombinant human IgG1 monoclonal antibody specific for all human vascular endothelial growth factor-A (VEGF-A) isoforms. The humanized anti-VEGF monoclonal antibody, bevacizumab, has been approved by the FDA as a first-line treatment for metastatic colorectal cancer in combination with chemotherapy. The pharmacokinetic properties of bevacizumab in several species have been previously described and are consistent with a typical humanized monoclonal antibody. It was shown in the literature that the surveillance of circulating concentration during maintenance therapy represents a direct and\/or indirect factor for some other side effects. Identification of biomarkers for (non-)response and risk factors for adverse drug reactions that might be related to serum concentrations and maintaining the effective concentration of Bevacizumab in order to potentially avoid some side effects with a reliable method might be beneficial.\u003c\/p\u003e\u003ch2\u003eResearch relevance and current trends\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eBiomarker translation in RUO settings:\u003c\/strong\u003e Increasing use of quantitative immunoassays to stratify experimental cohorts, track longitudinal changes, and benchmark model systems.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix-aware assay design:\u003c\/strong\u003e Greater emphasis on dilution linearity, spike-recovery, and control concepts to reduce matrix-driven artifacts in serum\/plasma and complex lysates.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIntegration with multi-omics:\u003c\/strong\u003e ELISA measurements are often used alongside transcriptomics and proteomics to connect abundance changes with pathway activity and phenotype.\u003c\/li\u003e\n\u003c\/ul\u003e\u003ch2\u003eCommon research applications\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eComparative quantification:\u003c\/strong\u003e Measure relative changes in analyte levels across treatments, time points, or genotypes to support mechanistic hypotheses.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAssay development and standardization:\u003c\/strong\u003e Generate reproducible concentration inputs for method qualification, inter-operator comparisons, or bridging studies across platforms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eModel and sample characterization:\u003c\/strong\u003e Profile baseline and stimulated levels to help interpret immune, endocrine, neurodegenerative, or metabolic phenotypes (as relevant to the target).\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eInterpretation typically focuses on direction and magnitude of change in the context of controls and sample handling metadata, rather than single-point absolute values.\u003c\/p\u003e\u003ch2\u003eNotes for experimental interpretation\u003c\/h2\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eMatrix effects:\u003c\/strong\u003e Hemolysis, lipemia, and high protein content can alter background and apparent concentration. Consider consistent collection\/processing and evaluate dilution behavior.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eIsoforms and modified forms:\u003c\/strong\u003e Some targets exist as isoforms, fragments, or post-translationally modified species. Ensure the measured form aligns with the biological question and the kit’s intended analyte definition.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eControl concepts:\u003c\/strong\u003e Use negative\/blank controls, replicate wells, and—when feasible—orthogonal confirmation (e.g., WB or MS) to strengthen conclusions.\u003c\/li\u003e\n\u003c\/ul\u003e\u003c!-- Sources (internal): - UniProt (search): https:\/\/www.uniprot.org\/uniprotkb?query=Bevacizumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Bevacizumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Bevacizumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Bevacizumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Bevacizumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047354163565,"sku":"DB941018-96T","price":1126.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0949\/7424\/7277\/files\/ELISA_Kits_Display_Image_1_f830fed6-2b9c-4d69-975a-2d74adfe640c.png?v=1772020764"}],"url":"https:\/\/www.ebiohippo.com\/collections\/pharmacokinetic-elisa-kits.oembed?page=2","provider":"BioHippo","version":"1.0","type":"link"}