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Quantitative Human ADCY6 (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX53)

Datasheet
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1×48 T
1×96 T

Product Description The quantitative human ADCY6 (glycosylated) sandwich ELISA kit is designed to detect human adenylate cyclase 6 (ADCY6) levels. ADCY6 is a membrane-bound enzyme that catalyzes the conversion of ATP to cyclic AMP (cAMP) in response to G protein signaling, playing a crucial role in intracellular signal transduction pathways. It is involved in various physiological processes, including cardiac function, hormone regulation, and neuronal communication. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.136 ng/mL, which can accurately detect low concentrations of ADCY6 in the sample.
Target ADCY6
N-Glycosylation Site 793
Sample Types Tissue homogenates, cell lysates
Sample Volume 100 μL
Sensitivity 0.136 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 Adenylate cyclase 6
Alternate Names ADCY6; Adenylate cyclase 6; ATP pyrophosphate-lyase 6; Adenylate cyclase type VI
Uniprot No. O43306
Application The quantitative human ADCY6 (glycosylated) sandwich ELISA kit is used in research to investigate the expression patterns of ADCY6, particularly in studies related to cardiovascular diseases, metabolic disorders, and neurodegenerative conditions. By accurately quantifying ADCY6 levels, researchers can explore its role in disease mechanisms and assess the impact of therapeutic interventions targeting this enzyme.
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, 95-110%;
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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