Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics
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1471-2105-13-S16-S9.pdf
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Author(s)
Mani, D. R.
Abbatiello, Susan E
Carr, Steven A
Date Issued
November 2012
Journal
BMC Bioinformatics
Publisher
BioMed Central Ltd
Citation
Mani, D R, Susan E Abbatiello, and Steven A Carr. “Statistical Characterization of Multiple-reaction Monitoring Mass Spectrometry (MRM-MS) Assays for Quantitative Proteomics.” BMC Bioinformatics 13.Suppl 16 (2012): S9. © 2012 BioMed Central Ltd
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Final published version
Abstract
Multiple reaction monitoring mass spectrometry (MRM-MS) with stable isotope dilution (SID) is increasingly becoming a widely accepted assay for the quantification of proteins and peptides. These assays have shown great promise in relatively high throughput verification of candidate biomarkers. While the use of MRM-MS assays is well established in the small molecule realm, their introduction and use in proteomics is relatively recent. As such, statistical and computational methods for the analysis of MRM-MS data from proteins and peptides are still being developed. Based on our extensive experience with analyzing a wide range of SID-MRM-MS data, we set forth a methodology for analysis that encompasses significant aspects ranging from data quality assessment, assay characterization including calibration curves, limits of detection (LOD) and quantification (LOQ), and measurement of intra- and interlaboratory precision. We draw upon publicly available seminal datasets to illustrate our methods and algorithms.
MIT Department
Koch Institute for Integrative Cancer Research at MIT
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DOI of Published Version
https://doi.org/10.1186/1471-2105-13-S16-S9
