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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human CXCR3 (glycosylated) sandwich ELISA kit is designed to detect human chemokine C-X-C-motif receptor 3 (CXCR3) levels. CXCR3 is a G protein-coupled receptor that binds certain chemokines, including CXCL9, CXCL10, and CXCL11. It is expressed on various immune cells, including T cells and NK cells. CXCR3 plays a crucial role in the migration of these cells to sites of inflammation. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 0.099 ng/mL, which can accurately detect low concentrations of CXCR3 in the sample. |
| Target | CXCR3 |
| N-Glycosylation Site | 22, 32 |
| Sample Types | Tissue homogenates, serum, plasma |
| 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 | Chemokine C-X-C-motif receptor 3 |
| Alternate Names | CXCR3; Chemokine C-X-C-motif receptor 3; CD183; GPR9; IP10-R; G protein-coupled receptor 9; Interferon-inducible protein 10 receptor |
| Uniprot No. | P49682 |
| Application | The quantitative human CXCR3 (glycosylated) sandwich ELISA kit is designed to measure glycosylated CXCR3 levels in samples. This measurement is valuable in research related to immunology and inflammation. The kit is applied in studies of conditions such as autoimmune diseases, which helps in understanding the role of CXCR3. |
| 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, 85-100%; Plasma sample: n=4, 80-95%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |