Literature DB >> 19556279

Unique ion signature mass spectrometry, a deterministic method to assign peptide identity.

Jamie Sherman1, Matthew J McKay, Keith Ashman, Mark P Molloy.   

Abstract

The growing use of selected reaction monitoring (SRM) mass spectrometry in proteomic analyses led us to investigate how to identify peptides by SRM using only a minimal number of fragment ions. By using a computational model of the SRM work flow we computed the potential interferences from other peptides in a given proteome. From these results, we selected the deterministic SRM addresses that contained sufficient information to confer peptide and protein identity that we termed unique ion signatures (UIS). We computationally showed that UIS comprised of only two transitions are diagnostic for >99% of Escherichia coli proteins and >96% of human proteins that possess a sequence-unique peptide. We demonstrated an example of experimental use of UIS using a modified SRM methodology to profile the E. coli tricarboxylic acid cycle from a single injection of cell lysate. In addition, we showed the potential of UIS to form the first functionally orthogonal approach to validate peptide assignments obtained from conventional analyses of MS/MS spectra. The UIS methodology is a novel deterministic peptide identification method for MS/MS spectra based on information content. These robust theoretical assays will have widespread use when integrated with previously collected MS/MS data and conventional proteomics technologies.

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Year:  2009        PMID: 19556279      PMCID: PMC2742438          DOI: 10.1074/mcp.M800512-MCP200

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


  28 in total

1.  Prediction of low-energy collision-induced dissociation spectra of peptides.

Authors:  Zhongqi Zhang
Journal:  Anal Chem       Date:  2004-07-15       Impact factor: 6.986

2.  The absolute quantification strategy: a general procedure for the quantification of proteins and post-translational modifications.

Authors:  Donald S Kirkpatrick; Scott A Gerber; Steven P Gygi
Journal:  Methods       Date:  2005-01-12       Impact factor: 3.608

3.  Prediction of low-energy collision-induced dissociation spectra of peptides with three or more charges.

Authors:  Zhongqi Zhang
Journal:  Anal Chem       Date:  2005-10-01       Impact factor: 6.986

4.  Multiple reaction monitoring to identify sites of protein phosphorylation with high sensitivity.

Authors:  Richard D Unwin; John R Griffiths; Michael K Leverentz; Agnes Grallert; Iain M Hagan; Anthony D Whetton
Journal:  Mol Cell Proteomics       Date:  2005-05-27       Impact factor: 5.911

5.  Computational prediction of proteotypic peptides for quantitative proteomics.

Authors:  Parag Mallick; Markus Schirle; Sharon S Chen; Mark R Flory; Hookeun Lee; Daniel Martin; Jeffrey Ranish; Brian Raught; Robert Schmitt; Thilo Werner; Bernhard Kuster; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2006-12-31       Impact factor: 54.908

6.  How do shotgun proteomics algorithms identify proteins?

Authors:  Edward M Marcotte
Journal:  Nat Biotechnol       Date:  2007-07       Impact factor: 54.908

7.  Targeted quantitative analysis of Streptococcus pyogenes virulence factors by multiple reaction monitoring.

Authors:  Vinzenz Lange; Johan A Malmström; John Didion; Nichole L King; Björn P Johansson; Juliane Schäfer; Jonathan Rameseder; Chee-Hong Wong; Eric W Deutsch; Mi-Youn Brusniak; Peter Bühlmann; Lars Björck; Bruno Domon; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2008-04-13       Impact factor: 5.911

8.  Absolute quantification of the model biomarker prostate-specific antigen in serum by LC-Ms/MS using protein cleavage and isotope dilution mass spectrometry.

Authors:  David R Barnidge; Marcia K Goodmanson; George G Klee; David C Muddiman
Journal:  J Proteome Res       Date:  2004 May-Jun       Impact factor: 4.466

9.  High sensitivity detection of plasma proteins by multiple reaction monitoring of N-glycosites.

Authors:  Jianru Stahl-Zeng; Vinzenz Lange; Reto Ossola; Katrin Eckhardt; Wilhelm Krek; Ruedi Aebersold; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2007-07-20       Impact factor: 5.911

10.  Evaluation of data-dependent versus targeted shotgun proteomic approaches for monitoring transcription factor expression in breast cancer.

Authors:  Charanjit Sandhu; Johannes A Hewel; Gwenael Badis; Shaheynoor Talukder; Jian Liu; Timothy R Hughes; Andrew Emili
Journal:  J Proteome Res       Date:  2008-02-27       Impact factor: 4.466

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  11 in total

1.  Targeted data extraction of the MS/MS spectra generated by data-independent acquisition: a new concept for consistent and accurate proteome analysis.

Authors:  Ludovic C Gillet; Pedro Navarro; Stephen Tate; Hannes Röst; Nathalie Selevsek; Lukas Reiter; Ron Bonner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-01-18       Impact factor: 5.911

2.  A computational tool to detect and avoid redundancy in selected reaction monitoring.

Authors:  Hannes Röst; Lars Malmström; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2012-04-24       Impact factor: 5.911

Review 3.  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

4.  Automated detection of inaccurate and imprecise transitions in peptide quantification by multiple reaction monitoring mass spectrometry.

Authors:  Susan E Abbatiello; D R Mani; Hasmik Keshishian; Steven A Carr
Journal:  Clin Chem       Date:  2009-12-18       Impact factor: 8.327

5.  Reproducible and consistent quantification of the Saccharomyces cerevisiae proteome by SWATH-mass spectrometry.

Authors:  Nathalie Selevsek; Ching-Yun Chang; Ludovic C Gillet; Pedro Navarro; Oliver M Bernhardt; Lukas Reiter; Lin-Yang Cheng; Olga Vitek; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2015-01-05       Impact factor: 5.911

6.  OpenSWATH enables automated, targeted analysis of data-independent acquisition MS data.

Authors:  Hannes L Röst; George Rosenberger; Pedro Navarro; Ludovic Gillet; Saša M Miladinović; Olga T Schubert; Witold Wolski; Ben C Collins; Johan Malmström; Lars Malmström; Ruedi Aebersold
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

7.  Reproducible quantification of cancer-associated proteins in body fluids using targeted proteomics.

Authors:  Ruth Hüttenhain; Martin Soste; Nathalie Selevsek; Hannes Röst; Atul Sethi; Christine Carapito; Terry Farrah; Eric W Deutsch; Ulrike Kusebauch; Robert L Moritz; Emma Niméus-Malmström; Oliver Rinner; Ruedi Aebersold
Journal:  Sci Transl Med       Date:  2012-07-11       Impact factor: 17.956

Review 8.  Expanding the Use of Spectral Libraries in Proteomics.

Authors:  Eric W Deutsch; Yasset Perez-Riverol; Robert J Chalkley; Mathias Wilhelm; Stephen Tate; Timo Sachsenberg; Mathias Walzer; Lukas Käll; Bernard Delanghe; Sebastian Böcker; Emma L Schymanski; Paul Wilmes; Viktoria Dorfer; Bernhard Kuster; Pieter-Jan Volders; Nico Jehmlich; Johannes P C Vissers; Dennis W Wolan; Ana Y Wang; Luis Mendoza; Jim Shofstahl; Andrew W Dowsey; Johannes Griss; Reza M Salek; Steffen Neumann; Pierre-Alain Binz; Henry Lam; Juan Antonio Vizcaíno; Nuno Bandeira; Hannes Röst
Journal:  J Proteome Res       Date:  2018-10-11       Impact factor: 4.466

9.  A repository of assays to quantify 10,000 human proteins by SWATH-MS.

Authors:  George Rosenberger; Ching Chiek Koh; Tiannan Guo; Hannes L Röst; Petri Kouvonen; Ben C Collins; Moritz Heusel; Yansheng Liu; Etienne Caron; Anton Vichalkovski; Marco Faini; Olga T Schubert; Pouya Faridi; H Alexander Ebhardt; Mariette Matondo; Henry Lam; Samuel L Bader; David S Campbell; Eric W Deutsch; Robert L Moritz; Stephen Tate; Ruedi Aebersold
Journal:  Sci Data       Date:  2014-09-16       Impact factor: 6.444

10.  A complete mass-spectrometric map of the yeast proteome applied to quantitative trait analysis.

Authors:  Paola Picotti; Mathieu Clément-Ziza; Henry Lam; David S Campbell; Alexander Schmidt; Eric W Deutsch; Hannes Röst; Zhi Sun; Oliver Rinner; Lukas Reiter; Qin Shen; Jacob J Michaelson; Andreas Frei; Simon Alberti; Ulrike Kusebauch; Bernd Wollscheid; Robert L Moritz; Andreas Beyer; Ruedi Aebersold
Journal:  Nature       Date:  2013-01-20       Impact factor: 49.962

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