| Literature DB >> 20863060 |
Hee-Jung Jung1, 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.
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.Entities:
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Year: 2010 PMID: 20863060 PMCID: PMC3019303 DOI: 10.1021/ac101388b
Source DB: PubMed Journal: Anal Chem ISSN: 0003-2700 Impact factor: 6.986