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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human TSPAN6 (glycosylated) sandwich ELISA kit is designed to detect human tetraspanin 6 (TSPAN6) levels. TSPAN6 is a member of the tetraspanin family of transmembrane proteins, involved in various cellular processes such as signaling, adhesion, and membrane trafficking. It plays a role in modulating immune responses and has been implicated in the pathogenesis of certain diseases. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.104 ng/mL, which can accurately detect low concentrations of TSPAN6 in the sample. |
| Target | TSPAN6 |
| N-Glycosylation Site | 134 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.104 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1 ng/mL-10 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 | Tetraspanin 6 |
| Alternate Names | TSPAN6; Tetraspanin 6; TM4SF6; Transmembrane 4 superfamily member 6 |
| Uniprot No. | O43657 |
| Application | The quantitative human TSPAN6 (glycosylated) sandwich ELISA kit is a laboratory assay designed to accurately measure the levels of glycosylated TSPAN6 protein in human biological samples. By employing specific antibodies in a sandwich format, this kit provides sensitive and precise quantification, facilitating research into TSPAN6's function and its potential role as a biomarker in 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, 85-100%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |