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On-column trypsin digestion coupled with LC-MS/MS for quantification of apolipoproteins.

Authors :
Toth CA
Kuklenyik Z
Jones JI
Parks BA
Gardner MS
Schieltz DM
Rees JC
Andrews ML
McWilliams LG
Pirkle JL
Barr JR
Source :
Journal of proteomics [J Proteomics] 2017 Jan 06; Vol. 150, pp. 258-267. Date of Electronic Publication: 2016 Sep 23.
Publication Year :
2017

Abstract

Apolipoproteins measured in plasma or serum are potential biomarkers for assessing metabolic irregularities that are associated with the development of cardiovascular disease (CVD). LC-MS/MS allows quantitative measurement of multiple apolipoproteins in the same sample run. However, the accuracy and precision of the LC-MS/MS measurement depends on the reproducibility of the enzymatic protein digestion step. With the application of an immobilized enzyme reactor (IMER), the reproducibility of the trypsin digestion can be controlled with high precision via flow rate, column volume and temperature. In this report, we demonstrate the application of an integrated IMER-LC-MS/MS platform for the simultaneous quantitative analysis of eight apolipoproteins. Using a dilution series of a characterized serum pool as calibrator, the method was validated by repeated analysis of pooled sera and individual serum samples with a wide range of lipid profiles, all showing intra-assay CV<4.4% and inter-assay CV<8%. In addition, the method was compared with traditional homogeneous digestion coupled LC-MS/MS for the quantification of apoA-I and apoB-100. Applied in large scale human population studies, this method can serve the translation of a wider panel of apolipoprotein biomarkers from research to clinical application.<br />Significance: Currently, the translation of apolipoprotein biomarkers to clinical application is impaired because of the high cost of large cohort studies using traditional single-analyte immunoassays. The application of on-line tryptic digestion coupled with LC-MS/MS analysis is an effective way to address this problem. In this work we demonstrate a high throughput, multiplexed, automated proteomics workflow for the simultaneous analysis of multiple proteins.<br /> (Published by Elsevier B.V.)

Details

Language :
English
ISSN :
1876-7737
Volume :
150
Database :
MEDLINE
Journal :
Journal of proteomics
Publication Type :
Academic Journal
Accession number :
27667389
Full Text :
https://doi.org/10.1016/j.jprot.2016.09.011