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| Size | Qty | Add To Basket |
|---|---|---|
| 1×48 T | ||
| 1×96 T |
| Product Description | The quantitative human LNGFR (glycosylated) sandwich ELISA kit is designed to detect human low affinity nerve growth factor receptor (LNGFR) levels. LNGFR is a transmembrane protein that binds nerve growth factor (NGF) and other neurotrophins, playing a complex role in neuronal survival, apoptosis, and differentiation. It can signal independently or cooperate with Trk receptors. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 0.193 ng/mL, which can accurately detect low concentrations of LNGFR in the sample. |
| Target | LNGFR |
| N-Glycosylation Site | 60 |
| Sample Types | Tissue homogenates, serum, plasma |
| Sample Volume | 100 μL |
| Sensitivity | 0.193 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1 ng/mL-10 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 | Low affinity nerve growth factor receptor |
| Alternate Names | LNGFR; Low affinity nerve growth factor receptor; CD271; NGFR; TNFRSF16; Tumor necrosis factor receptor superfamily member 16 |
| Uniprot No. | P08138 |
| Application | The quantitative human LNGFR (glycosylated) sandwich ELISA kit is valuable in research investigating neurological disorders, cancer, and wound healing, where LNGFR signaling is implicated. Researchers utilize this ELISA to quantify LNGFR levels, providing insights into its role in these conditions and potential therapeutic targeting. |
| 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, 90-105%; |
| Standard Curve | ![]() The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested. |