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Quantitative Human NRP1 (Glycosylated) Sandwich ELISA Kit

CAT#: GLJF-0525-HX28

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Specifications
Product Description
The quantitative human NRP1 (glycosylated) sandwich ELISA kit is designed to detect human neuropilin 1 (NRP1) levels. NRP1 is a transmembrane glycoprotein that functions as a co-receptor for various ligands, including VEGF and semaphorins, playing a crucial role in angiogenesis, axonal guidance, and tumor progression. It is involved in cell signaling pathways that regulate cell migration, proliferation, and survival. The kit is suitable for various biological samples such as tissue homogenates, serum, plasma. Its sensitivity is 28.369 pg/mL, which can accurately detect low concentrations of NRP1 in the sample.
Target
NRP1
Kit Components
Pre-coated ELISA plate; Lyophilized standard; Biotin-labeled antibody; HRP-avidin; Various diluents; Wash buffer; TMB chromogenic substrate; Stop solution
Sample Types
Tissue homogenates, serum, plasma
Sample Volume
100 μL
Sensitivity
28.369 pg/mL
Detection Principle
Quantitative sandwich ELISA
Detection Range
65 pg/mL-3000 pg/mL
Detection Time
1 h-5 h
Detection Wavelength
450 nm
Storage
Store at 2-8°C for long term storage.
Target Information
Species
Human
Full Name
Neuropilin 1
Alternate Names
NRP1; Neuropilin 1; CD304; VEGF165R; Vascular endothelial cell growth factor 165 receptor
Uniprot No.
N-Glycosylation Site
150, 261, 300, 522, 842
O-Glycosylation Site
612, 829
Application Notes
Application
The quantitative human NRP1 (glycosylated) sandwich ELISA kit is useful for researchers investigating cancer, vascular diseases, and neurological disorders, where NRP1 expression and function are implicated. By quantifying NRP1, researchers can gain insights into its role in disease pathogenesis and explore potential therapeutic targets related to angiogenesis and cell signaling.
Precision
Intra-Assay: n=20, CV <8%;
Inter-Assay: n=20, CV <10%;
Recovery
Serum sample: n=5, 80-90%;
Plasma sample: n=4, 90-110%;
Standard Curve

The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested.
For Research Use Only.
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