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 ALPPL2 (glycosylated) sandwich ELISA kit is designed to detect human alkaline phosphatase, placental like protein 2 (ALPPL2) levels. ALPPL2 is an isoenzyme of alkaline phosphatase primarily expressed in germ cells and certain tumors, playing a role in cell proliferation and differentiation. The kit is suitable for various biological samples such as tissue homogenates. Its sensitivity is 0.123 ng/mL, which can accurately detect low concentrations of ALPPL2 in the sample. |
| Target | ALPPL2 |
| N-Glycosylation Site | 141, 268 |
| Sample Types | Tissue homogenates |
| Sample Volume | 100 μL |
| Sensitivity | 0.123 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 | Alkaline phosphatase, placental like protein 2 |
| Alternate Names | ALPPL2; Alkaline phosphatase, placental like protein 2; ALPG; Alkaline phosphatase Nagao isozyme |
| Uniprot No. | P10696 |
| Application | The quantitative human ALPPL2 (glycosylated) sandwich ELISA kit is valuable in research and clinical settings for monitoring germ cell tumors, particularly seminomas and ovarian cancers, and for studying germ cell development. Researchers and clinicians utilize this ELISA to quantify ALPPL2 levels, providing insights into tumor burden 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, 90-105%; 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. |