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 PDGFA (glycosylated) sandwich ELISA kit is designed to detect human platelet derived growth factor subunit A (PDGFA) levels. PDGFA is a growth factor that plays a crucial role in cell proliferation, differentiation, and migration, contributing to processes like angiogenesis and wound healing. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 0.098 ng/mL, which can accurately detect low concentrations of PDGFA in the sample. |
| Target | PDGFA |
| N-Glycosylation Site | 134 |
| Sample Types | Tissue homogenates, cell lysates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 0.098 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 subunit A |
| Alternate Names | PDGFA; Platelet derived growth factor subunit A; PDGF1; Platelet derived growth factor alpha polypeptide |
| Uniprot No. | P04085 |
| Application | The quantitative human PDGFA (glycosylated) sandwich ELISA kit is utilized in research investigating diseases such as cancer, atherosclerosis, and fibrosis, where PDGFA signaling is implicated. Researchers employ this ELISA to quantify PDGFA levels, providing insights into its role in these conditions and potential therapeutic targeting. |
| 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, 95-110%; 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. |