Quantitative Human WNT10B (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX21)

Product Description	The quantitative human WNT10B (glycosylated) sandwich ELISA kit is designed to detect human wingless type MMTV integration site family, member 10B (WNT10B) levels. WNT10B is a secreted glycoprotein that plays a critical role in various developmental processes, including adipogenesis, bone formation, and tissue regeneration, by activating Wnt signaling pathways. It is involved in cell proliferation, differentiation, and tissue homeostasis. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 29.873 pg/mL, which can accurately detect low concentrations of WNT10B in the sample.
Target	WNT10B
N-Glycosylation Site	93, 335
Sample Types	Tissue homogenates, cell lysates, serum, plasma
Sample Volume	100 μL
Sensitivity	29.873 pg/mL
Detection Principle	Quantitative sandwich ELISA
Detection Range	65 pg/mL-3000 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	Wingless type MMTV integration site family, member 10B
Alternate Names	WNT10B; Wingless type MMTV integration site family, member 10B; WNT-12
Uniprot No.	O00744

Application	The quantitative human WNT10B (glycosylated) sandwich ELISA kit is valuable for researchers investigating metabolic disorders, skeletal diseases, and cancer, where WNT10B signaling is often dysregulated. By quantifying WNT10B levels, researchers can gain insights into its role in disease pathogenesis and explore potential therapeutic targets related to Wnt pathway modulation.
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, 80-95%; Plasma sample: n=4, 80-95%;
Standard Curve	The standard curve is for reference only, and a new standard curve should be generated for each set of samples tested.