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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human TNFRSF1A (glycosylated) sandwich ELISA kit is designed to detect human tumor necrosis factor receptor superfamily, member 1A (TNFRSF1A) levels. TNFRSF1A is a protein that functions as a receptor for tumor necrosis factor-alpha. This receptor is found on the cell surface, which plays a role in inflammation, apoptosis, and immune responses. The kit is suitable for various biological samples such as cell lysates, serum, plasma, urine. Its sensitivity is 6.824 pg/mL, which can accurately detect low concentrations of TNFRSF1A in the sample. |
| Target | TNFRSF1A |
| N-Glycosylation Site | 54, 145, 151, 376 |
| Sample Types | Cell lysates, serum, plasma, urine |
| Sample Volume | 100 μL |
| Sensitivity | 6.824 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 25 pg/mL-1000 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 | Tumor necrosis factor receptor superfamily, member 1A |
| Alternate Names | TNFRSF1A; Tumor necrosis factor receptor superfamily, member 1A; CD120A; TBP1; FPF; TNFR1; Tumor necrosis factor-binding protein 1 |
| Uniprot No. | P19438 |
| Application | The quantitative human TNFRSF1A (glycosylated) sandwich ELISA kit is designed for the quantitative measurement of glycosylated TNFRSF1A levels in biological samples. It can be used in studies examining inflammatory diseases, autoimmune disorders, and cancer. The kit is a valuable tool in immunological research. |
| 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, 80-95%; 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. |