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 TLR7 (glycosylated) sandwich ELISA kit is designed to detect human toll like receptor 7 (TLR7) levels. TLR7 is a pattern recognition receptor that is located in endosomes and recognizes single-stranded RNA. TLR7 plays a role in the innate immune system. This receptor is involved in activating immune responses to viral infections. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.427 ng/mL, which can accurately detect low concentrations of TLR7 in the sample. |
| Target | TLR7 |
| N-Glycosylation Site | 66, 69, 167, 202, 215, 361, 413, 488, 523, 534, 590, 679, 720, 799 |
| Sample Types | Tissue homogenates, cell lysates |
| Sample Volume | 100 μL |
| Sensitivity | 0.427 ng/mL |
| Detection Principle | Quantitative sandwich ELISA |
| Detection Range | 1.50 ng/mL-45 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 | Toll like receptor 7 |
| Alternate Names | TLR7; Toll like receptor 7; CD287 |
| Uniprot No. | Q9NYK1 |
| Application | The quantitative human TLR7 (glycosylated) sandwich ELISA kit is used to measure TLR7 levels in biological samples. This kit is applicable in studies examining innate immunity, viral infections, and autoimmune diseases. It is also relevant to studies investigating the role of TLR7 in the recognition of RNA viruses and the subsequent activation of immune responses. |
| 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, 95-110%; 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. |