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Quantitative Human TGOLN2 (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX57)

Datasheet
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1×48 T
1×96 T

Product Description The quantitative human TGOLN2 (glycosylated) sandwich ELISA kit is designed to detect human trans golgi network protein 2 (TGOLN2) levels. TGOLN2 is a transmembrane protein located in the trans-Golgi network, essential for protein sorting and trafficking within the secretory pathway of the cell. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.214 ng/mL, which can accurately detect low concentrations of TGOLN2 in the sample.
Target TGOLN2
N-Glycosylation Site 39, 82, 96, 152, 180, 208, 222, 373, 377
Sample Types Tissue homogenates, cell lysates
Sample Volume 100 μL
Sensitivity 0.214 ng/mL
Detection Principle Quantitative sandwich ELISA
Detection Range 0.55 ng/mL-15 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 Trans-golgi network protein 2
Alternate Names TGOLN2; Trans-golgi network protein 2; TGN46; TTGN2; Trans-Golgi network protein
Uniprot No. O43493
Application The quantitative human TGOLN2 (glycosylated) sandwich ELISA kit is utilized in research to investigate the expression and regulation of TGOLN2, particularly in studies related to cellular trafficking, Golgi apparatus functions, and diseases associated with Golgi dysfunction. By accurately quantifying TGOLN2 levels, researchers can explore its role in cellular processes, understand its involvement in disease mechanisms, and evaluate the effects of therapeutic interventions targeting Golgi-associated pathways.
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, 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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