{"product_id":"mosunetuzumab-elisa-kit-bhe21400323","title":"Mosunetuzumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eMosunetuzumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eMosunetuzumab\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 0.31-5 μg\/mL; analytical sensitivity 0.156 μg\/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\u003ePolatuzumab vedotin is an active ingredient of Polivy, a drug product for the treatment of previously treated adult patients with diffuse large B-cell lymphoma (DLBCL) in combination with bendamustine and rituximab. Polatuzumab vedotin is an antibody-drug conjugate composed of a humanized monoclonal antibody (mAb) targeting B-cell antigen receptor complex-associated protein beta chain (CD79b) and a microtubule-disrupting toxin, monomethyl auristatin E (MMAE). This drug was developed by Genentech\/Roche using a proprietary technology developed by Seattle Genetics. In 2018, orphan designation was granted for polatuzumab vedotin for the treatment of diffuse large B-cell lymphoma by the European Commission to Roche Registration Limited. Based on the effective therapeutic effect of polatuzumab vedotin on DLBCL, the U.S. Food and Drug Administration (FDA) granted accelerated approval to polatuzumab vedotin, in combination with bendamustine plus rituximab on 10 June 2019. Subsequently, the European Medicines Health and Therapeutic Goods Administration of Australian Drug Regulatory Administration also approved Polivy's sales authorization from Genentech. Besides DLBCL, polatuzumab vedotin also has been investigated in the treatment of non-hodgkins lymphoma, chronic lymphocytic leukemia, follicular lymphoma. Some of the trials were complicated, and there are six clinical trials still undergoing now. For example, there is a phase Ib\/II study investigating the safety, tolerability, pharmacokinetics, and efficacy of mosunetuzumab (BTCT4465A) in combination with chop or chp-polatuzumab vedotin in participants with b-cell non-hodgkin lymphoma. Furthermore, a study to evaluate the safety and efficacy of polatuzumab vedotin in combination with rituximab, gemcitabine and oxaliplatin compared to rituximab, gemcitabine and oxaliplatin alone in participants with relapsed or refractory diffuse large B-cell lymphoma is recruiting. The recent events of polatuzumab vedotin is that Chugai Pharmaceutical, another developer, adverse events data from a phase ii (jo40762\/p-drive) trial diffuse large B-cell lymphoma and announces intention to submit NDA to Ministry of Health, Labour and Welfare for diffuse large B-cell lymphoma in Japan on February 2020. At the same period, a phase-II clinical trials in diffuse large B cell lymphoma is undergoing in United Kingdom (IV).\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=Mosunetuzumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Mosunetuzumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Mosunetuzumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Mosunetuzumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Mosunetuzumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047355081069,"sku":"DY257068-96T","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_623bc452-3acd-4df1-b4f0-faeb1beade6e.png?v=1772020766","url":"https:\/\/www.ebiohippo.com\/products\/mosunetuzumab-elisa-kit-bhe21400323","provider":"BioHippo","version":"1.0","type":"link"}