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. SmithSang 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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