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Quantitative Human CACNα1B (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX508)

Datasheet
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1×48 T
1×96 T

Product Description The quantitative human CACNα1B (glycosylated) sandwich ELISA kit is designed to detect human calcium channel, N-type, α1B subunit (CACNα1B) levels. CACNα1B forms a critical part of a protein complex that mediates calcium ion influx into cells. These channels are essential for various cellular processes, including neurotransmitter release, muscle contraction, and hormone secretion. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.134 ng/mL, which can accurately detect low concentrations of CACNα1B in the sample.
Target CACNα1B
N-Glycosylation Site 256, 1563, 1675
Sample Types Tissue homogenates, cell lysates
Sample Volume 100 μL
Sensitivity 0.134 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 Calcium channel, N-type, α1B subunit
Alternate Names CACNα1B; Calcium channel, N-type, α1B subunit; CACNN; CACNL1A5; Brain calcium channel III
Uniprot No. Q00975
Application The quantitative human CACNα1B (glycosylated) sandwich ELISA kit is a valuable tool for neuroscience research, allowing scientists to study the expression and regulation of N-type calcium channels. Researchers use it to investigate the role of CACNα1B in neuronal functions and neurological disorders. The kit has applications in studies of pain, epilepsy, and other conditions involving altered calcium signaling in the nervous system.
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, 85-105%;
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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