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 KRT7 (glycosylated) sandwich ELISA kit is designed to detect human keratin 7 (KRT7) levels. KRT7 is an intermediate filament protein expressed in simple and glandular epithelial tissues, playing a role in maintaining cellular structure and integrity. It is often used as a marker for certain types of carcinomas. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 29.992 pg/mL, which can accurately detect low concentrations of KRT7 in the sample. |
| Target | KRT7 |
| O-Glycosylation Site | 12 |
| Sample Types | Tissue homogenates, cell lysates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 29.992 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 100 pg/mL-4000 pg/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 | Keratin 7 |
| Alternate Names | KRT7; Keratin 7; CK7; Cytokeratin 7 |
| Uniprot No. | P08729 |
| Application | The quantitative human KRT7 (glycosylated) sandwich ELISA kit is valuable in research investigating cancer diagnostics, particularly for identifying and characterizing specific epithelial cancers, as well as in studies of epithelial tissue differentiation and function. Researchers utilize this ELISA to quantify KRT7 levels, providing insights into tumor classification and potential diagnostic or prognostic applications. |
| 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, 80-100%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |