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Quantitative Human PLOD2 (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX16)

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1×48 T
1×96 T

Product Description The quantitative human PLOD2 (glycosylated) sandwich ELISA kit is designed to detect human procollagen lysine-2-oxoglutarate-5-dioxygenase 2 (PLOD2) levels. PLOD2 is an enzyme that hydroxylates lysine residues in collagen, playing a crucial role in collagen crosslinking and extracellular matrix remodeling. It is involved in various physiological processes, including tissue development, wound healing, and fibrosis. The kit is suitable for various biological samples such as tissue homogenates, cell lysates. Its sensitivity is 0.125 ng/mL, which can accurately detect low concentrations of PLOD2 in the sample.
Target PLOD2
N-Glycosylation Site 63, 209, 297, 365, 522, 696, 725
Sample Types Tissue homogenates, cell lysates
Sample Volume 100 μL
Sensitivity 0.125 ng/mL
Detection Principle Quantitative sandwich ELISA
Detection Range 1 ng/mL-10 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 Procollagen lysine-2-oxoglutarate-5-dioxygenase 2
Alternate Names PLOD2; Procollagen lysine-2-oxoglutarate-5-dioxygenase 2; Telopeptide lysyl hydroxylase; Lysyl hydroxylase 2; TLH; LH2
Uniprot No. O00469
Application The quantitative human PLOD2 (glycosylated) sandwich ELISA kit is useful for researchers studying fibrosis, cancer, and skeletal disorders, where PLOD2 activity is often dysregulated. By quantifying PLOD2, researchers can investigate its contribution to disease pathogenesis and explore potential therapeutic targets related to extracellular matrix alterations.
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, 80-100%;
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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