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 PIGR (glycosylated) sandwich ELISA kit is designed to detect human polymeric immunoglobulin receptor (PIGR) levels. PIGR is a transmembrane protein that mediates the transcytosis of polymeric immunoglobulins, primarily IgA, across epithelial cells. It's crucial for mucosal immunity, delivering IgA to mucosal surfaces for defense against pathogens. The kit is suitable for various biological samples such as serum, plasma, urine. Its sensitivity is 27.283 pg/mL, which can accurately detect low concentrations of PIGR in the sample. |
| Target | PIGR |
| N-Glycosylation Site | 83, 90, 135, 186, 421, 469, 499 |
| Sample Types | Serum, plasma, urine |
| Sample Volume | 100 μL |
| Sensitivity | 27.283 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 65 pg/mL-3500 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 | Polymeric immunoglobulin receptor |
| Alternate Names | PIGR; Polymeric immunoglobulin receptor; SC; Secretory component |
| Uniprot No. | P01833 |
| Application | The quantitative human PIGR (glycosylated) sandwich ELISA kit is valuable in research investigating mucosal immunity, inflammatory bowel disease, and other conditions involving epithelial transport of IgA. Researchers utilize this ELISA to quantify PIGR levels, providing insights into its role in mucosal defense and related pathologies. |
| 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, 90-110%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |