There is no product in the shopping cart, buy it!
| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human PDGFRα (glycosylated) sandwich ELISA kit is designed to detect human platelet-derived growth factor receptor α (PDGFRα) levels. PDGFRα is a protein that functions as a receptor tyrosine kinase. This receptor is activated by platelet-derived growth factors, which play a role in cell proliferation, differentiation, and migration. 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 PDGFRα in the sample. |
| Target | PDGFRα |
| N-Glycosylation Site | 42, 76, 103, 179, 353, 359, 458, 468 |
| 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 | Platelet derived growth factor receptor α |
| Alternate Names | PDGFRα; Platelet derived growth factor receptor α; CD140a; PDGFR2; CD140 antigen-like family member A |
| Uniprot No. | P16234 |
| Application | The quantitative human PDGFRα (glycosylated) sandwich ELISA kit provides a means for the quantitative analysis of glycosylated PDGFRα levels in biological samples. Researchers use it in studies investigating cancer, particularly gliomas, and fibrosis. The kit is applicable in cancer research and the development of targeted therapies. |
| 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, 95-110%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |