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Quantitative Human OGT (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX38)

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1×48 T
1×96 T

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
O-Glycosylation Site 4, 10, 12, 18, 38, 52, 56, 399
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.
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. O15294
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.
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, 80-100%;
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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