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Quantitative Human Siglec-5 (Glycosylated) Sandwich ELISA Kit

CAT#: GLJF-0525-HX40

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Specifications
Product Description
The quantitative human siglec-5 (glycosylated) sandwich ELISA kit is designed to detect human sialic acid-binding Ig-like lectin 5 (Siglec5) levels. Siglec-5 is a transmembrane protein that binds to sialic acid-containing ligands, playing a role in regulating immune responses and cell signaling. It is involved in inhibitory signaling pathways that modulate immune cell activation. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 30.182 pg/mL, which can accurately detect low concentrations of siglec-5 in the sample.
Target
Siglec-5
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, cell lysates, serum, plasma
Sample Volume
100 μL
Sensitivity
30.182 pg/mL
Detection Principle
Quantitative sandwich ELISA
Detection Range
80 pg/mL-4000 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
Sialic acid-binding Ig-like lectin 5
Alternate Names
Siglec-5; Sialic acid-binding Ig-like lectin 5; CD170; OBBP2; SIGLEC-5
Uniprot No.
N-Glycosylation Site
100, 210, 231, 253, 328, 375, 384, 393
Application Notes
Application
The quantitative human siglec-5 (glycosylated) sandwich ELISA kit is useful for researchers investigating inflammatory diseases, autoimmune disorders, and cancer, where siglec-5 expression and function are relevant. By quantifying siglec-5, researchers can gain insights into its role in immune regulation and explore potential therapeutic targets related to immune modulation.
Precision
Intra-Assay: n=20, CV <8%;
Inter-Assay: n=20, CV <10%;
Recovery
Serum sample: n=5, 85-100%;
Plasma sample: n=4, 80-100%;
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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