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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human GRIA2 (glycosylated) sandwich ELISA kit is designed to detect human glutamate receptor, ionotropic, AMPA2 (GRIA2) levels. GRIA2 is another subunit of the AMPA receptor. GRIA2 plays a key role in determining the calcium permeability of AMPA receptors. This property influences synaptic plasticity and the strength of synaptic connections. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.152 ng/mL, which can accurately detect low concentrations of GRIA2 in the sample. |
| Target | GRIA2 |
| N-Glycosylation Site | 256, 370, 406, 413 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.152 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, AMPA2 |
| Alternate Names | GRIA2; Glutamate receptor, ionotropic, AMPA2; GLUR2; GLURB; AMPA-selective glutamate receptor 2 |
| Uniprot No. | P42262 |
| Application | The quantitative human GRIA2 (glycosylated) sandwich ELISA kit is designed to measure glycosylated GRIA2 levels in samples. This measurement is important for neuroscience research, especially in studies of synaptic plasticity and neurodevelopmental disorders. The kit is applied in investigations of conditions such as autism spectrum disorder, schizophrenia, and other neurological diseases. |
| 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, 80-95%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |