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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human GRIN2B (glycosylated) sandwich ELISA kit is designed to detect human glutamate receptor, ionotropic, N-methyl-D-aspartate 2B (GRIN2B) levels. GRIN2B is a subunit of the NMDA receptor. NMDA receptors are ligand-gated ion channels in nerve cells, crucial for synaptic transmission, learning, and memory. 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 GRIN2B in the sample. |
| Target | GRIN2B |
| N-Glycosylation Site | 74, 341, 348, 444, 491, 542, 688 |
| 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 | Glutamate receptor, ionotropic, N-methyl-D-aspartate 2B |
| Alternate Names | GRIN2B; Glutamate receptor, ionotropic, N-methyl-D-aspartate 2B; NMDAR2B; NR2B; N-Methyl D-aspartate receptor subtype 2B |
| Uniprot No. | Q13224 |
| Application | The quantitative human GRIN2B (glycosylated) sandwich ELISA kit is valuable for neuroscience and neuropharmacology research, especially in studying glutamate signaling and synaptic plasticity. Researchers can measure GRIN2B levels in brain tissue. Applications include studies of neurological disorders, brain development, and cognitive functions. |
| 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, 80-100%; Plasma sample: n=4, 90-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |