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|a Mani, D. R.
|e author
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|a Koch Institute for Integrative Cancer Research at MIT
|e contributor
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|a Carr, Steven A.
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|a Abbatiello, Susan E
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|a Carr, Steven A
|e author
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|a Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics
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|b BioMed Central Ltd,
|c 2012-11-06T17:41:19Z.
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|z Get fulltext
|u http://hdl.handle.net/1721.1/74578
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|a 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.
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|a National Cancer Institute (U.S.) (Grant U24CA126476)
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|a National Heart, Lung, and Blood Institute (Grant HHSN268201000033C)
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|a en
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|a Article
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|t BMC Bioinformatics
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