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 ERLIN2 (glycosylated) sandwich ELISA kit is designed to detect human endoplasmic reticulum lipid raft associated protein 2 (ERLIN2) levels. ERLIN2 is involved in endoplasmic reticulum-associated degradation (ERAD) and the maintenance of ER homeostasis, contributing to the proper folding and trafficking of proteins. The kit is suitable for various biological samples such as tissue homogenates. Its sensitivity is 0.122 ng/mL, which can accurately detect low concentrations of ERLIN2 in the sample. |
| Target | ERLIN2 |
| N-Glycosylation Site | 106 |
| Sample Types | Tissue homogenates |
| Sample Volume | 100 μL |
| Sensitivity | 0.122 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 0.55 ng/mL-20 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 | Endoplasmic reticulum lipid raft associated protein 2 |
| Alternate Names | ERLIN2; Endoplasmic reticulum lipid raft associated protein 2; Erlin-2; SPFH2; C8orf2 |
| Uniprot No. | O94905 |
| Application | The quantitative human ERLIN2 (glycosylated) sandwich ELISA kit is valuable for research investigating ER stress-related diseases, including neurodegenerative disorders and metabolic syndromes. The quantitative data obtained from this kit allows for precise analysis of ERLIN2 levels, contributing to a better understanding of its role in cellular stress responses and disease pathogenesis. |
| 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, 80-100%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |