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Quantitative Human RANKL (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX29)

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1×48 T
1×96 T

Product Description The quantitative human RANKL (glycosylated) sandwich ELISA kit is designed to detect human receptor activator of nuclear factor-KB ligand (RANKL) levels. RANKL is a cytokine that plays a crucial role in osteoclast differentiation and activation, regulating bone remodeling and immune responses. It is essential for bone metabolism and immune cell interactions. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 25.148 pg/mL, which can accurately detect low concentrations of RANKL in the sample.
Target RANKL
N-Glycosylation Site 171, 198
Sample Types Tissue homogenates, cell lysates, serum, plasma
Sample Volume 100 μL
Sensitivity 25.148 pg/mL
Detection Principle Quantitative sandwich ELISA
Detection Range 80 pg/mL-4000 pg/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 Receptor activator of nuclear factor-KB ligand
Alternate Names RANKL; Receptor activator of nuclear factor-KB ligand; CD254; TNFSF11; Tumor necrosis factor (ligand) superfamily member 11; TNF-related activation-induced cytokine
Uniprot No. O14788
Application The quantitative human RANKL (glycosylated) sandwich ELISA kit is valuable for researchers investigating osteoporosis, rheumatoid arthritis, and cancer-induced bone diseases, where RANKL levels are often altered. By quantifying RANKL, researchers can gain insights into disease pathogenesis and explore potential therapeutic targets related to bone metabolism and immune regulation.
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, 95-110%;
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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