Literature DB >> 17533221

The implications of proteolytic background for shotgun proteomics.

Paola Picotti1, Ruedi Aebersold, Bruno Domon.   

Abstract

The analysis by liquid chromatography coupled to tandem mass spectrometry of complex peptide mixtures, generated by proteolysis of protein samples, is the main proteomics method used today. The approach is based on the assumption that each protein present in a sample reproducibly and predictably generates a relatively small number of peptides that can be identified by mass spectrometry. In this study this assumption was examined by a targeted peptide sequencing strategy using inclusion lists to trigger peptide fragmentation attempts. It was found that the number of peptides observed from a single protein is at least one order of magnitude greater than previously assumed. This unexpected complexity of proteomics samples implies substantial technical challenges, explains some perplexing results in the proteomics literature, and prompts the need for developing alternative experimental strategies for the rapid and comprehensive analysis of proteomes.

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Year:  2007        PMID: 17533221     DOI: 10.1074/mcp.M700029-MCP200

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  65 in total

Review 1.  Selected reaction monitoring-based proteomics: workflows, potential, pitfalls and future directions.

Authors:  Paola Picotti; Ruedi Aebersold
Journal:  Nat Methods       Date:  2012-05-30       Impact factor: 28.547

2.  Enhanced N-glycosylation site exploitation of sialoglycopeptides by peptide IPG-IEF assisted TiO2 chromatography.

Authors:  Weiqian Cao; Jing Cao; Jiangming Huang; Lei Zhang; Jun Yao; Haoqi Xu; Pengyuan Yang
Journal:  Glycoconj J       Date:  2012-07-08       Impact factor: 2.916

3.  Synthetic peptide arrays for pathway-level protein monitoring by liquid chromatography-tandem mass spectrometry.

Authors:  Johannes A Hewel; Jian Liu; Kento Onishi; Vincent Fong; Shamanta Chandran; Jonathan B Olsen; Oxana Pogoutse; Mike Schutkowski; Holger Wenschuh; Dirk F H Winkler; Larry Eckler; Peter W Zandstra; Andrew Emili
Journal:  Mol Cell Proteomics       Date:  2010-05-13       Impact factor: 5.911

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.  Data analysis strategy for maximizing high-confidence protein identifications in complex proteomes such as human tumor secretomes and human serum.

Authors:  Huan Wang; Hsin-Yao Tang; Glenn C Tan; David W Speicher
Journal:  J Proteome Res       Date:  2011-10-18       Impact factor: 4.466

7.  A stress test for mass spectrometry-based proteomics.

Authors:  Ruedi Aebersold
Journal:  Nat Methods       Date:  2009-06       Impact factor: 28.547

8.  The standard protein mix database: a diverse data set to assist in the production of improved Peptide and protein identification software tools.

Authors:  John Klimek; James S Eddes; Laura Hohmann; Jennifer Jackson; Amelia Peterson; Simon Letarte; Philip R Gafken; Jonathan E Katz; Parag Mallick; Hookeun Lee; Alexander Schmidt; Reto Ossola; Jimmy K Eng; Ruedi Aebersold; Daniel B Martin
Journal:  J Proteome Res       Date:  2007-08-21       Impact factor: 4.466

Review 9.  Quality assessment for clinical proteomics.

Authors:  David L Tabb
Journal:  Clin Biochem       Date:  2012-12-12       Impact factor: 3.281

10.  Nonvirus encoded proteins could be embedded into Bombyx mori cypovirus polyhedra.

Authors:  Yi-Ling Zhang; Ren-Yu Xue; Guang-Li Cao; Xiang-Kun Meng; Yue-Xiong Zhu; Zhong-Hua Pan; Cheng-Liang Gong
Journal:  Mol Biol Rep       Date:  2014-01-28       Impact factor: 2.316

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