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Quantitative Human TGOLN2 (Glycosylated) Sandwich ELISA Kit

CAT#: GLJF-0525-HX57

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Specifications
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
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
0.214 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.
Target Information
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.
N-Glycosylation Site
39, 82, 96, 152, 180, 208, 222, 373, 377
Application Notes
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.
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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