Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Integrated Post-Experiment Monoisotopic Mass Refinement: An Integrated Approach to Accurately Assign Monoisotopic Precursor Masses to Tandem Mass Spectrometric Data

Authors
Jung, Hee-JungPurvine, Samuel O.Kim, HokeunPetyuk, Vladislav A.Hyung, Seok-WonMonroe, Matthew E.Mun, Dong-GiKim, Kyong-ChulPark, Jong-MoonKim, Su-JinTolic, NikolaSlysz, Gordon W.Moore, Ronald J.Zhao, RuiAdkins, Joshua N.Anderson, Gordon A.Lee, HookeunCamp, David G., IIYu, Myeong-HeeSmith, Richard D.Lee, Sang-Won
Issue Date
15-Oct-2010
Publisher
AMER CHEMICAL SOC
Citation
ANALYTICAL CHEMISTRY, v.82, no.20, pp.8510 - 8518
Indexed
SCIE
SCOPUS
Journal Title
ANALYTICAL CHEMISTRY
Volume
82
Number
20
Start Page
8510
End Page
8518
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/115514
DOI
10.1021/ac101388b
ISSN
0003-2700
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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Science > Department of Chemistry > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher LEE, Sang Won photo

LEE, Sang Won
College of Science (Department of Chemistry)
Read more

Altmetrics

Total Views & Downloads

BROWSE