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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human GRIN2A (glycosylated) sandwich ELISA kit is designed to detect human glutamate receptor, ionotropic, N-methyl-D-aspartate 2A (GRIN2A) levels. GRIN2A is a subunit of the NMDA receptor. NMDA receptors are ligand-gated ion channels found in nerve cells. They are critical 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 GRIN2A in the sample. |
| Target | GRIN2A |
| N-Glycosylation Site | 75, 340, 380, 443, 444, 541, 687 |
| 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 2A |
| Alternate Names | GRIN2A; Glutamate receptor, ionotropic, N-methyl-D-aspartate 2A; NMDAR2A; NR2A; N-Methyl D-aspartate receptor subtype 2A |
| Uniprot No. | Q12879 |
| Application | The quantitative human GRIN2A (glycosylated) sandwich ELISA kit is a valuable tool for research in neuroscience and neuropharmacology, particularly in studies of glutamate signaling and synaptic plasticity. Researchers use it to measure GRIN2A levels in brain tissue. The kit has applications in studies of neurological disorders, learning, and memory. |
| 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. |