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Decision tree–driven tandem mass spectrometry for shotgun proteomics

Open access
Swaney, Danielle L, McAlister, Graeme C, Coon, Joshua J·2008·Nature Methods

Abstract

Mass spectrometry has become a key technology for modern large-scale protein sequencing. Tandem mass spectrometry, the process of peptide ion dissociation followed by mass-to-charge ratio (m/z) analysis, is the critical component for peptide identification. Recent advances in mass spectrometry now permit two discrete, and complementary, types of peptide ion fragmentation: collision-activated dissociation (CAD) and electron transfer dissociation (ETD) on a single instrument. To exploit this complementarity and increase sequencing success rates, we designed and embedded a data-dependent decision tree algorithm (DT) to make unsupervised, real-time decisions of which fragmentation method to use based on precursor charge and m/z. Applying the DT to large-scale proteome analyses of Saccharomyces cerevisiae and human embryonic stem cells, we identified 53,055 peptides in total, which was greater than by using CAD (38,293) or ETD (39,507) alone. In addition, the DT method also identified 7,422 phosphopeptides, compared to either 2,801 (CAD) or 5,874 (ETD) phosphopeptides.

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Metadata

Authors
Swaney, D. L., McAlister, G. C., & Coon, J. J.
Venue
Nature Methods
Published
2008-10-19
Volume
5
Issue
11
Pages
959-964
ISSN
  • 1548-7091 (ISSN-L)
  • 1548-7105
OpenAlex
W2062406929
Cited by
312
References
4
FWCI
13.72
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Decision tree–driven tandem mass spectrometry for shotgun proteomics. https://app.cochat.ai/papers/10.1038/nmeth.1260
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Swaney, D. L., McAlister, G. C., & Coon, J. J. (2008). Decision tree–driven tandem mass spectrometry for shotgun proteomics. Nature Methods. https://doi.org/10.1038/nmeth.1260

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