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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human FGFR2 (glycosylated) sandwich ELISA kit is designed to detect human fibroblast growth factor receptor 2 (FGFR2) levels. FGFR2 is a transmembrane receptor tyrosine kinase, which plays a critical role in cellular processes such as cell proliferation, differentiation, and angiogenesis. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 13.104 pg/mL, which can accurately detect low concentrations of FGFR2 in the sample. |
| Target | FGFR2 |
| N-Glycosylation Site | 83, 123, 228, 241, 265, 297, 318, 331 |
| Sample Types | Tissue homogenates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 13.104 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 35 pg/mL-1725 pg/mL |
| Detection Time | 1 h-5 h |
| Detection Wavelength | 450 nm |
| Storage | Store at 2-8°C for long term storage. |
| Species | Human |
| Full Name | Fibroblast growth factor receptor 2 |
| Alternate Names | FGFR2; Fibroblast growth factor receptor 2; CD332; CFD1; Craniofacial dysostosis 1 |
| Uniprot No. | P21802 |
| Application | The quantitative human FGFR2 (glycosylated) sandwich ELISA kit is designed to quantify FGFR2 levels in various biological samples, which is useful for studying the expression and regulation of FGFR2 in different conditions. Researchers use it to investigate the role of FGFR2 in development, cancer, and wound healing. The kit is also valuable in the development of therapies targeting FGFR2 signaling pathways. |
| Kit Components | Pre-coated ELISA plate; Lyophilized standard; Biotin-labeled antibody; HRP-avidin; Various diluents; Wash buffer; TMB chromogenic substrate; Stop solution |
| Precision | Intra-Assay: n=20, CV <8%; Inter-Assay: n=20, CV <10%; |
| Recovery | Serum sample: n=5, 90-105%; Plasma sample: n=4, 85-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |