Open AccessSelected reaction monitoring approach for validating peptide biomarkers
Author(s) -
Qing Wang,
Ming Zhang,
Tyler M. Tomita,
Joshua T Vogelstein,
Shibin Zhou,
Nickolas Papadopoulos,
Kenneth W. Kinzler,
Bert Vogelstein
Publication year - 2017
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.1712731114
Subject(s) - computer science , biomarker , biomarker discovery , computational biology , massively parallel , bioinformatics , proteomics , biology , biochemistry , parallel computing , gene
Significance With the advent of advanced proteomic technologies, a unique generation of plasma biomarkers is likely to arise in the foreseeable future. One of the fundamental practical problems in developing such biomarkers for clinical use is the lack of a high-throughput, robust, and reproducible system for validating candidate biomarkers. Here, we report the development of a system that is suitable for validating a large number of candidate biomarkers in a quantitative and massively parallel manner. In addition to describing this system [called sequential analysis of fractionated eluates by selected reaction monitoring (SAFE-SRM)], we have used it to discover a peptide biomarker for ovarian cancer that may prove to have clinical value.
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