{"product_id":"farletuzumab-elisa-kit-bhe21400316","title":"Farletuzumab ELISA Kit","description":"\u003ch2\u003eOverview\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eFarletuzumab ELISA Kit\u003c\/strong\u003e is an ELISA-based immunoassay designed for quantitative measurement of \u003cstrong\u003eFarletuzumab\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\u003eFarletuzumab (MORAb-003) is a humanized α-FR-targeted monoclonal antibody derived from the murine antibody, LK26 (Teng, Xie, Teng, \u0026amp; Lee, 2012). In preclinical studies, farletuzumab elicited robust antibody-dependent cellular cytotoxicity and complement-dependent cytotoxicity, thus inhibiting the growth of human ovarian tumor xenografts (Teng et al., 2012). Farletuzumab combined with carboplatin and taxane may enhance the response rate and duration of response in patients with platinum-sensitive ovarian cancer with first relapse after remission duration of 6–18 months (Konner et al., 2010). Based on these encouraging findings, a Phase III study was undertaken in patients with platinum-sensitive recurrent ovarian cancer (Walters et al., 2013). The FAR131 trial did not prove efficacy for patients with platinum-sensitive ovarian cancer (PSOC, defined as a PFI of ≥ 6 months), in terms of the primary endpoint of PFS. Aside from Farletuzumab, other antibodies have been developed to target FR, and tested clinically. Similar to studies exploiting Vintafolide, a Phase III, open-label, randomized study (ClinicalTrials.gov Identifier: NCT02631876) was designed to compare the safety and efficacy of Mirvetuximab soravtansine, also known as IMGN853, an α-FR-targeting antibody-drug conjugate, to that of selected single-agent chemotherapies in women with platinum-resistant α-FR-positive advanced EOC, and other pelvic cancers. The antibody serves to specifically target the highly potent microtubule inhibitor maytansinoid DM4 to the α-FR-positive cancer cells. In addition, vaccines against FR have been produced and evaluated, such as the folate-binding protein vaccines E39 and J65 involved in the Phase Ib trial (ClinicalTrials.gov Identifier: NCT02019524) for patients with breast or ovarian cancer diagnosis who have been treated and are without evidence of disease. A Phase II clinical trial (NCT02764333) is testing on patients with Pt-resistant ovarian cancer the safety and effectiveness of two investigational drugs, TPIV200\/huFR-1 (also called TPIV200), a vaccine consisting of proteins from α-FR mixed with GM-CSF, and durvalumab (MEDI4736).\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=Farletuzumab - NCBI Gene (search): https:\/\/www.ncbi.nlm.nih.gov\/gene\/?term=Farletuzumab - Ensembl (search): https:\/\/www.ensembl.org\/Multi\/Search\/Results?q=Farletuzumab - PubMed (search): https:\/\/pubmed.ncbi.nlm.nih.gov\/?term=Farletuzumab - NCBI Bookshelf (background reviews): https:\/\/www.ncbi.nlm.nih.gov\/books\/?term=Farletuzumab --\u003e","brand":"Biohippo Inc","offers":[{"title":"96 T","offer_id":53047354229101,"sku":"DB825018-96T","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_cea1c476-34ea-4d60-bf95-b28f163f0bd3.png?v=1772020765","url":"https:\/\/www.ebiohippo.com\/products\/farletuzumab-elisa-kit-bhe21400316","provider":"BioHippo","version":"1.0","type":"link"}