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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human EFNB1 (glycosylated) sandwich ELISA kit is designed to detect human ephrin B1 (EFNB1) levels. EFNB1 is a transmembrane protein that functions as a ligand for Eph receptors. Ephrin-B1 and Eph receptors are key components of the Eph/ephrin signaling pathway. This pathway is involved in a wide range of developmental processes, including axon guidance, cell migration, and tissue boundary formation. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.099 ng/mL, which can accurately detect low concentrations of EFNB1 in the sample. |
| Target | EFNB1 |
| N-Glycosylation Site | 139 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.099 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1 ng/mL-10 ng/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 | Ephrin B1 |
| Alternate Names | EFNB1; Ephrin B1; CFND; EPLG2; EPH-related receptor tyrosine kinase ligand 2 |
| Uniprot No. | P98172 |
| Application | The quantitative human EFNB1 (glycosylated) sandwich ELISA kit is designed for the quantitative measurement of glycosylated EFNB1 levels. This kit is a valuable tool for investigating the role of EFNB1 and Eph/ephrin signaling in various biological processes and diseases. Researchers use it to measure EFNB1 levels in different experimental models. The kit has applications in developmental biology, neuroscience, and cancer research, where Eph/ephrin signaling is often dysregulated. |
| 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, 80-100%; Plasma sample: n=4, 80-100%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |