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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human P4HTM (glycosylated) sandwich ELISA kit is designed to detect human transmembrane prolyl 4-hydroxylase (P4HTM) levels. P4HTM is an enzyme that is a subunit of prolyl 4-hydroxylase. This enzyme catalyzes the formation of 4-hydroxyproline in collagen. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 6.024 pg/mL, which can accurately detect low concentrations of P4HTM in the sample. |
| Target | P4HTM |
| N-Glycosylation Site | 348, 368, 382 |
| Sample Types | Tissue homogenates, cell lysates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 6.024 pg/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 20 pg/mL-900 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 | Transmembrane prolyl 4-hydroxylase |
| Alternate Names | P4HTM; Transmembrane prolyl 4-hydroxylase; EGLN4; FLJ20262; HIF-prolyl hydroxylase 4; HIFPH4; Hypoxia-inducible factor prolyl hydroxylase 4; P4HTM_HUMAN; Proline 4 hydroxylase; Prolyl hydroxlase domain containing 4 |
| Uniprot No. | Q9NXG6 |
| Application | The quantitative human P4HTM (glycosylated) sandwich ELISA kit is used to measure P4HTM levels in biological samples. This kit is useful in studies examining collagen synthesis and fibrosis. It is also relevant to studies investigating the role of P4HTM in the formation of the extracellular matrix and the development of connective tissue disorders. |
| 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, 80-95%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |