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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human PTPRN (glycosylated) sandwich ELISA kit is designed to detect human protein tyrosine phosphatase receptor type N (PTPRN) levels. PTPRN is an integral membrane protein, which is expressed in various tissues, including endocrine cells and neurons. It plays a role in regulating intracellular signaling pathways involved in hormone secretion and neuronal functions. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.125 ng/mL, which can accurately detect low concentrations of PTPRN in the sample. |
| Target | PTPRN |
| N-Glycosylation Site | 506, 524 |
| O-Glycosylation Site | 441 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.125 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 | Protein tyrosine phosphatase receptor type N |
| Alternate Names | PTPRN; Protein tyrosine phosphatase receptor type N; IA2; PTPRN; PTP; Islet cell antigen 2 |
| Uniprot No. | Q16849 |
| Application | The quantitative human PTPRN (glycosylated) sandwich ELISA kit is designed for the quantitative measurement of glycosylated PTPRN levels in biological samples. The kit is applicable in studies of endocrine functions, neuronal signaling, and protein phosphorylation. It is useful in fields such as cell biology and endocrinology. |
| 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, 90-110%; 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. |