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

17 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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