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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human SIRP-β1 (glycosylated) sandwich ELISA kit is designed to detect human signal regulatory protein β1 (SIRP-β1) levels. SIRPβ1 is a transmembrane protein involved in cell adhesion and signaling, particularly in myeloid cells, and it contributes to immune responses and cellular interactions. It plays a role in regulating cell-cell interactions and signal transduction. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.132 ng/mL, which can accurately detect low concentrations of SIRP-β1 in the sample. |
| Target | SIRP-β1 |
| N-Glycosylation Site | 244, 269, 291 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.132 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 0.55 ng/mL-15 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 | Signal regulatory protein β1 |
| Alternate Names | SIRP-β1; Signal regulatory protein β1; CD172b; SIRP-B1; CD172 antigen-like family member B |
| Uniprot No. | O00241 |
| Application | The quantitative human SIRP-β1 (glycosylated) sandwich ELISA kit is useful for researchers studying immune regulation, cancer biology, and inflammatory diseases, where SIRP-β1 plays a role in cellular communication. It enables the quantification of SIRP-β1 levels, aiding in the investigation of its involvement in disease pathogenesis and potential therapeutic applications. |
| 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, 90-100%; 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. |