Systematic evaluation of data-independent acquisition for sensitive and reproducible proteomics-a prototype design for a single injection assay.

JOURNAL OF MASS SPECTROMETRY(2016)

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摘要
Data-independent acquisition (DIA)-based proteomics has become increasingly complicated in recent years because of the vast number of workflows described, coupled with a lack of studies indicating a rational framework for selecting effective settings to use. To address this issue and provide a resource for the proteomics community, we compared 12 DIA methods that assay tryptic peptides using various mass-isolation windows. Our findings indicate that the most sensitive single injection LC-DIA method uses 6m/z isolation windows to analyze the densely populated tryptic peptide range from 450 to 730m/z, which allowed quantification of 4465 Escherichiacoli peptides. In contrast, using the sequential windowed acquisition of all theoretical fragment-ions (SWATH) approach with 26m/z isolation windows across the entire 400-1200m/z range, allowed quantification of only 3309 peptides. This reduced sensitivity with 26m/z windows is caused by an increase in co-eluting compounds with similar precursor values detected in the same tandem MS spectra, which lowers the signal-to-noise of peptide fragment-ion chromatograms and reduces the amount of low abundance peptides that can be quantified from 410 to 920m/z. Above 920m/z, more peptides were quantified with 26m/z windows because of substantial peptide C-13 isotope distributions that parse peptide ions into separate isolation windows. Because reproducible quantification has been a long-standing aim of quantitative proteomics, and is a so-called trait of DIA, we sought to determine whether precursor-level chromatograms used in some methods rather than their fragment-level counterparts have similar precision. Our data show that extracted fragment-ion chromatograms are the reason DIA provides superior reproducibility. Copyright (c) 2015 John Wiley & Sons, Ltd.
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关键词
DIA,SWATH,PAcIFIC,Protalizer,label-free quantification
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