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Quantitative Human CASR (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX404)

Datasheet
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1×48 T
1×96 T

Product Description The quantitative human CASR (glycosylated) sandwich ELISA kit is designed to detect human calcium sensing receptor (CASR) levels. CASR is a G protein-coupled receptor, which is primarily located in the parathyroid gland and kidneys. CASR plays a vital role in maintaining calcium homeostasis by detecting changes in extracellular calcium levels. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 0.130 ng/mL, which can accurately detect low concentrations of CASR in the sample.
Target CASR
N-Glycosylation Site 90, 130, 261, 287, 386, 400, 446, 468, 488, 541, 594
Sample Types Tissue homogenates, cell lysates, serum, plasma
Sample Volume 100 μL
Sensitivity 0.130 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 sensing receptor
Alternate Names CASR; Calcium sensing receptor; CAR; GPRC2A; HHC1; PCAR1; Parathyroid cell calcium-sensing receptor 1; Hypocalciuric hypercalcemia 1
Uniprot No. P41180
Application The quantitative human CASR (glycosylated) sandwich ELISA kit is designed to measure the levels of glycosylated CASR in samples. This measurement is crucial for research and clinical studies focusing on calcium metabolism disorders. The kit finds application in investigating conditions such as hyperparathyroidism, hypoparathyroidism, and other diseases related to calcium imbalance.
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, 90-105%;
Plasma sample: n=4, 90-110%;
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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