Integrated post-experiment monoisotopic mass refinement: An integrated approach to accurately assign monoisotopic precursor masses to tandem mass spectrometric data

  • Hee Jung Jung
  • , Samuel O. Purvine
  • , Hokeun Kim
  • , Vladislav A. Petyuk
  • , Seok Won Hyung
  • , Matthew E. Monroe
  • , Dong Gi Mun
  • , Kyong Chul Kim
  • , Jong Moon Park
  • , Su Jin Kim
  • , Nikola Tolic
  • , Gordon W. Slysz
  • , Ronald J. Moore
  • , Rui Zhao
  • , Joshua N. Adkins
  • , Gordon A. Anderson
  • , Hookeun Lee
  • , David G. Camp
  • , Myeong Hee Yu
  • , Richard D. Smith
  • Sang Won Lee

    Research output: Contribution to journalArticlepeer-review

    20 Citations (Scopus)

    Abstract

    Accurate assignment of monoisotopic precursor masses to tandem mass spectrometric (MS/MS) data is a fundamental and critically important step for successful peptide identifications in mass spectrometry based proteomics. Here we describe an integrated approach that combines three previously reported methods of treating MS/MS data for precursor mass refinement. This combined method, "integrated post-experiment monoisotopic mass refinement" (iPE-MMR), integrates steps (1) generation of refined MS/MS data by DeconMSn; (2) additional refinement of the resultant MS/MS data by a modified version of PE-MMR; and (3) elimination of systematic errors of precursor masses using DtaRefinery. iPE-MMR is the first method that utilizes all MS information from multiple MS scans of a precursor ion including multiple charge states, in an MS scan, to determine precursor mass. With the combination of these methods, iPE-MMR increases sensitivity in peptide identification and provides increased accuracy when applied to complex high-throughput proteomics data.

    Original languageEnglish
    Pages (from-to)8510-8518
    Number of pages9
    JournalAnalytical chemistry
    Volume82
    Issue number20
    DOIs
    Publication statusPublished - 2010 Oct 15

    ASJC Scopus subject areas

    • Analytical Chemistry

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