Quantitative Human dLK1 (Glycosylated) Sandwich ELISA Kit (CAT#: GLJF-0525-HX503)

Product Description	The quantitative human dLK1 (glycosylated) sandwich ELISA kit is designed to detect human delta like 1 homolog (dLK1) levels. dLK1 is a transmembrane protein that functions as a ligand for Notch receptors. It is a key component of the Notch signaling pathway, which plays a critical role in cell fate determination and differentiation during development. The kit is suitable for various biological samples such as tissue homogenates, cell lysates, serum, plasma. Its sensitivity is 0.255 ng/mL, which can accurately detect low concentrations of dLK1 in the sample.
Target	dLK1
N-Glycosylation Site	100, 165, 172
O-Glycosylation Site	94, 143, 163, 214, 222, 251, 256, 260
Sample Types	Tissue homogenates, cell lysates, serum, plasma
Sample Volume	100 μL
Sensitivity	0.255 ng/mL
Detection Principle	Quantitative sandwich ELISA
Detection Range	2 ng/mL-40 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	Delta like 1 homolog
Alternate Names	dLK1; Delta like 1 homolog; FA1; PREF1; Protein delta homolog 1; Fetal antigen 1
Uniprot No.	P80370

Application	The quantitative human dLK1 (glycosylated) sandwich ELISA kit is designed to quantitatively measure glycosylated dLK1 levels. This kit is a valuable tool for investigating the role of dLK1 and Notch signaling in various biological processes and diseases. Researchers can utilize it to measure dLK1 levels in different experimental settings. The kit has applications in developmental biology, stem cell research, and studies related to cancer and tissue regeneration.
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, 85-100%; 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.