4.5 Article

Increasing information from shotgun proteomic data by accounting for misassigned precursor ion masses

Journal

PROTEOMICS
Volume 8, Issue 14, Pages 2791-2797

Publisher

WILEY-V C H VERLAG GMBH
DOI: 10.1002/pmic.200800045

Keywords

bioinformatics; data cleaning; mass spectra; shotgun proteomics

Funding

  1. NCI NIH HHS [R33CA099139-01] Funding Source: Medline
  2. NIAID NIH HHS [1U54 AI57141-01] Funding Source: Medline
  3. NIEHS NIH HHS [5P30ES007033-10] Funding Source: Medline

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Although mass spectrometers are capable of providing high mass accuracy data, assignment of true monoisotopic precursor ion mass is complicated during data-dependent ion selection for LC-MS/MS analysis of complex mixtures. The complication arises when chromatographic peak widths for a given analyte exceed the time required to acquire a precursor ion mass spectrum. The result is that many measured monoisotopic masses are misassigned due to calculation from a single mass spectrum with poor ion statistics based on only a fraction of the total available ions for a given analyte. Such data in turn produces errors in automated database searches, where precursor m/z value is one search parameter. We propose here a postacquisition approach to correct misassigned monoisotopic m/z values that involves peak detection over the entire elution profile and correction of the precursor ion monoisotopic mass. As a result of using this approach to reprocess shotgun proteomic data we increased peptide sequence assignments by 10% while reducing the estimated false positive ratio from 1 to 0.2%. We also show that 4% of the salvaged identifications may be accounted for by correction of mixed tandem mass spectra resulting from fragmentation of multiple peptides simultaneously, a situation which we refer to as accidental CID.

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