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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human CRHR2 (glycosylated) sandwich ELISA kit is designed to detect human corticotropin releasing hormone receptor 2 (CRHR2) levels. CRHR2 is a G protein-coupled receptor, which binds corticotropin-releasing hormone (CRH) and related peptides. CRHR2 is expressed in the brain and peripheral tissues, which mediates the effects of CRH on stress response, anxiety, and cardiovascular functions. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.125 ng/mL, which can accurately detect low concentrations of CRHR2 in the sample. |
| Target | CRHR2 |
| N-Glycosylation Site | 13, 41, 74, 86, 94 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.125 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 | Corticotropin releasing hormone receptor 2 |
| Alternate Names | CRHR2; Corticotropin releasing hormone receptor 2; CRFR2; CRF2; Corticotropin-releasing factor receptor 2 |
| Uniprot No. | Q13324 |
| Application | The quantitative human CRHR2 (glycosylated) sandwich ELISA kit is a valuable tool for neuroscience and endocrinology research, particularly for studying stress response and related disorders. Researchers can measure CRHR2 levels in tissues. Applications include studies of anxiety, depression, and stress-related conditions. |
| 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, 85-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |