Literature DB >> 19775930

Directed mass spectrometry: towards hypothesis-driven proteomics.

Alexander Schmidt1, Manfred Claassen, Ruedi Aebersold.   

Abstract

To date, the vast majority of the proteomic data sets collected by mass spectrometry (MS) have been generated by nondirected methods, whereby the identified precursor ions are stochastically selected for sequencing from complex sample mixtures. Recently, new MS approaches have been developed in which the mass spectrometer is directed to select and fragment sets of precursor ions that represent the most informative peptides in a sample mixture. These directed MS methods have shown superior performance for the fast, sensitive, and highly reproducible generation of consistent data sets at low redundancy. In this manuscript we summarize recent technical advances in directed MS and discuss important applications to quantitative proteomics.

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Year:  2009        PMID: 19775930     DOI: 10.1016/j.cbpa.2009.08.016

Source DB:  PubMed          Journal:  Curr Opin Chem Biol        ISSN: 1367-5931            Impact factor:   8.822


  31 in total

1.  High-Capacity Ion Trap Coupled to a Time-of-Flight Mass Spectrometer for Comprehensive Linked Scans with no Scanning Losses.

Authors:  Sunnie Myung; Herbert Cohen; David Fenyo; Julio C Padovan; Andrew N Krutchinsky; Brian T Chait
Journal:  Int J Mass Spectrom       Date:  2011-03-30       Impact factor: 1.986

Review 2.  Decoding signalling networks by mass spectrometry-based proteomics.

Authors:  Chunaram Choudhary; Matthias Mann
Journal:  Nat Rev Mol Cell Biol       Date:  2010-05-12       Impact factor: 94.444

3.  Options and considerations when selecting a quantitative proteomics strategy.

Authors:  Bruno Domon; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2010-07-09       Impact factor: 54.908

4.  The pros and cons of peptide-centric proteomics.

Authors:  Mark W Duncan; Ruedi Aebersold; Richard M Caprioli
Journal:  Nat Biotechnol       Date:  2010-07       Impact factor: 54.908

Review 5.  Generating and navigating proteome maps using mass spectrometry.

Authors:  Christian H Ahrens; Erich Brunner; Ermir Qeli; Konrad Basler; Ruedi Aebersold
Journal:  Nat Rev Mol Cell Biol       Date:  2010-10-14       Impact factor: 94.444

6.  Improved mass spectrometric characterization of protein glycosylation reveals unusual glycosylation of maize-derived bovine trypsin.

Authors:  Hao Zhang; Richard Y C Huang; Pegah R Jalili; Janet W Irungu; Gordon R Nicol; Kevin B Ray; Henry W Rohrs; Michael L Gross
Journal:  Anal Chem       Date:  2010-11-15       Impact factor: 6.986

7.  Parallel reaction monitoring for high resolution and high mass accuracy quantitative, targeted proteomics.

Authors:  Amelia C Peterson; Jason D Russell; Derek J Bailey; Michael S Westphall; Joshua J Coon
Journal:  Mol Cell Proteomics       Date:  2012-08-03       Impact factor: 5.911

Review 8.  Inference and validation of protein identifications.

Authors:  Manfred Claassen
Journal:  Mol Cell Proteomics       Date:  2012-08-03       Impact factor: 5.911

9.  Native SILAC: metabolic labeling of proteins in prototroph microorganisms based on lysine synthesis regulation.

Authors:  Florian Fröhlich; Romain Christiano; Tobias C Walther
Journal:  Mol Cell Proteomics       Date:  2013-04-16       Impact factor: 5.911

Review 10.  Proteomics of plant pathogenic fungi.

Authors:  Raquel González-Fernández; Elena Prats; Jesús V Jorrín-Novo
Journal:  J Biomed Biotechnol       Date:  2010-05-27
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