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  An Iterative Strategy for Precursor Ion Selection for LC-MS/MS Based Shotgun Proteomics.

Zerck, A., Nordhoff, E., Resemann, A., Mirgorodskaya, E., Suckau, D., Reinert, K., et al. (2009). An Iterative Strategy for Precursor Ion Selection for LC-MS/MS Based Shotgun Proteomics. Journal of Proteome Research, 8(7), 3239-3251. doi:10.1021/pr800835x.

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Item Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7DA5-5 Version Permalink: http://hdl.handle.net/11858/00-001M-0000-0010-7DA6-3
Genre: Journal Article
Alternative Title : J. Proteome Res.

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 Creators:
Zerck, Alexandra1, Author              
Nordhoff, Eckhard1, Author              
Resemann, Anja, Author
Mirgorodskaya, Ekaterina2, Author
Suckau, Detlef, Author
Reinert, Knut, Author
Lehrach, Hans1, Author              
Gobom, Johan1, Author              
Affiliations:
1Dept. of Vertebrate Genomics (Head: Hans Lehrach), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433550              
2Max Planck Society, ou_persistent13              

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 Abstract: Currently, the precursor ion selection strategies in LC-MS mainly choose the most prominent peptide signals for MS/MS analysis. Consequently, high-abundance proteins are identified by MS/MS of many peptides, whereas proteins of lower abundance might elude identification. We present a novel, iterative and result-driven approach for precursor ion selection that significantly increases the efficiency of an MS/MS analysis by decreasing data redundancy and analysis time. By simulating different strategies for precursor ion selection on an existing data set, we compare our method to existing result-driven strategies and evaluate its performance with regard to mass accuracy, database size, and sample complexity.

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Language(s): eng - English
 Dates: 2009-04-30
 Publication Status: Published in print
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Title: Journal of Proteome Research
  Alternative Title : J. Proteome Res.
Source Genre: Journal
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Pages: - Volume / Issue: 8 (7) Sequence Number: - Start / End Page: 3239 - 3251 Identifier: ISSN: 1535-3893