Document Detail


On the acquisition of +1 charge states during high-throughput proteomics: Implications on reproducibility, number and confidence of protein identifications.
MedLine Citation:
PMID:  19328874     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Modern high-throughput methods for the proteome analysis are gradually replacing more traditional 2D gel-based techniques. Almost immediately after the introduction of high-throughput proteomics techniques in 2001, reproducibility of the results became an issue. Extensive discussion in the literature led to the conclusion that certain "undersampling" exhibited during measurements could be due to the stochastic nature of the data-dependent sampling, routinely used with current mass spectrometry equipment. At the same time, the effect of the acquisition of different charge states on the reproducibility and confidence of protein identifications, to the best of our knowledge, has never been properly evaluated. There exists the frequently voiced yet hardly documented opinion that +1 charge states should be rejected during data-dependent acquisition. The work presented here shows that inclusion of the +1 charge state in the data-dependent acquisition protocols can indeed lead to improved proteome coverage, reproducibility, and the confidence of protein identifications by high-throughput proteomics. It was also shown that contrary to the established opinion, gas-phase dissociation of singly charged peptide species results in rich fragmentation patterns containing both b- and y-ions allowing for successful and confident peptide identification.
Authors:
Victor J Nesatyy; Ksenia Groh; Holger Nestler; Marc J-F Suter
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Publication Detail:
Type:  Journal Article     Date:  2009-03-26
Journal Detail:
Title:  Journal of proteomics     Volume:  72     ISSN:  1876-7737     ISO Abbreviation:  -     Publication Date:  2009 Jul 
Date Detail:
Created Date:  2009-07-07     Completed Date:  2009-11-04     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101475056     Medline TA:  J Proteomics     Country:  Netherlands    
Other Details:
Languages:  eng     Pagination:  761-70     Citation Subset:  IM    
Affiliation:
Eawag-Swiss Federal Institute of Aquatic Science and Technology, Ueberlandstrasse 133, Duebendorf, Switzerland. victor.nesati@epfl.ch
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MeSH Terms
Descriptor/Qualifier:
Algae / metabolism
Animals
Automation
Calibration
Chlamydomonas reinhardtii / metabolism
Electrophoresis, Gel, Two-Dimensional
Ions
Mass Spectrometry / instrumentation*,  methods*
Peptides / chemistry
Proteins / chemistry*
Proteome
Proteomics / methods*
Reproducibility of Results
Zebrafish
Chemical
Reg. No./Substance:
0/Ions; 0/Peptides; 0/Proteins; 0/Proteome

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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