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 IL21R (glycosylated) sandwich ELISA kit is designed to detect human interleukin 21 receptor (IL21R) levels. IL21R is the receptor for the cytokine IL21. It is a transmembrane protein expressed on various immune cells. IL21R mediates the signaling effects of IL21. This receptor plays a role in regulating immune cell functions. The kit is suitable for various biological samples such as tissue homogenates. Its sensitivity is 0.094 ng/mL, which can accurately detect low concentrations of IL21R in the sample. |
| Target | IL21R |
| N-Glycosylation Site | 73, 97, 104, 125, 135 |
| C-Glycosylation Site | 214 |
| Sample Types | Tissue homogenates |
| Sample Volume | 100 μL |
| Sensitivity | 0.094 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 | Interleukin 21 receptor |
| Alternate Names | IL21R; Interleukin 21 receptor; CD360; NILR; Novel interleukin receptor |
| Uniprot No. | Q9HBE5 |
| Application | The quantitative human IL21R (glycosylated) sandwich ELISA kit is designed for the quantitative measurement of IL21R in biological samples. It is useful in studies examining cytokine signaling and receptor expression. This kit has applications in research focused on immune regulation. It is also relevant to studies investigating the role of IL21 signaling in various disease processes. |
| 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, 85-105%; 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. |