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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human PTPLA (glycosylated) sandwich ELISA kit is designed to detect human protein tyrosine phosphatase like protein A (PTPLA) levels. PTPLA is a protein that belongs to the protein tyrosine phosphatase (PTP) family, though it exhibits some variations from typical PTPs. It is involved in various cellular processes, and research suggests it may play a role in tissue development and maintenance. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.474 ng/mL, which can accurately detect low concentrations of PTPLA in the sample. |
| Target | PTPLA |
| N-Glycosylation Site | 243 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.474 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1.25 ng/mL-50 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 | Protein tyrosine phosphatase like protein A |
| Alternate Names | PTPLA; Protein tyrosine phosphatase like protein A; CAP; 3-Hydroxyacyl-CoA dehydratase 1 |
| Uniprot No. | B0YJ81 |
| Application | The quantitative human PTPLA (glycosylated) sandwich ELISA kit is valuable for researchers studying the role of PTPLA in physiological and pathological conditions, allowing for the quantitative analysis of PTPLA expression in various experimental settings. Applications could include research into cellular signaling pathways, and studies regarding the development of certain tissues. |
| 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, 90-105%; 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. |