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Quantitative Human OGT (Glycosylated) Sandwich ELISA Kit

CAT#: GLJF-0525-HX38

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Specifications
Product Description
The quantitative human OGT (glycosylated) sandwich ELISA kit is designed to detect human O-linked-N-acetylglucosamine transferase (OGT) levels. OGT is an enzyme that catalyzes the addition of O-GlcNAc to serine and threonine residues of target proteins, playing a crucial role in regulating various cellular processes, including signaling, transcription, and metabolism. It is involved in post-translational modifications that affect protein function. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.824 ng/mL, which can accurately detect low concentrations of OGT in the sample.
Target
OGT
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
Sample Volume
100 μL
Sensitivity
0.824 ng/mL
Detection Principle
Quantitative sandwich ELISA
Detection Range
5 ng/mL-100 ng/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
O-linked-N-acetylglucosamine transferase
Alternate Names
OGT; O-linked-N-acetylglucosamine transferase; O-GLCNAC; O-GlcNAc transferase subunit p110
Uniprot No.
O-Glycosylation Site
4, 10, 12, 18, 38, 52, 56, 399
Application Notes
Application
The quantitative human OGT (glycosylated) sandwich ELISA kit is valuable for researchers investigating diabetes, cancer, and neurodegenerative diseases, where O-GlcNAc modifications and OGT activity are implicated. By quantifying OGT, researchers can gain insights into its role in disease pathogenesis and explore potential therapeutic targets related to O-GlcNAc signaling.
Precision
Intra-Assay: n=20, CV <8%;
Inter-Assay: n=20, CV <10%;
Recovery
Serum sample: n=5, 80-100%;
Plasma sample: n=4, 95-110%;
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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