Literature DB >> 25561506

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

Nathalie Selevsek1, Ching-Yun Chang2, Ludovic C Gillet1, Pedro Navarro3, Oliver M Bernhardt4, Lukas Reiter4, Lin-Yang Cheng2, Olga Vitek5, Ruedi Aebersold6.   

Abstract

Targeted mass spectrometry by selected reaction monitoring (S/MRM) has proven to be a suitable technique for the consistent and reproducible quantification of proteins across multiple biological samples and a wide dynamic range. This performance profile is an important prerequisite for systems biology and biomedical research. However, the method is limited to the measurements of a few hundred peptides per LC-MS analysis. Recently, we introduced SWATH-MS, a combination of data independent acquisition and targeted data analysis that vastly extends the number of peptides/proteins quantified per sample, while maintaining the favorable performance profile of S/MRM. Here we applied the SWATH-MS technique to quantify changes over time in a large fraction of the proteome expressed in Saccharomyces cerevisiae in response to osmotic stress. We sampled cell cultures in biological triplicates at six time points following the application of osmotic stress and acquired single injection data independent acquisition data sets on a high-resolution 5600 tripleTOF instrument operated in SWATH mode. Proteins were quantified by the targeted extraction and integration of transition signal groups from the SWATH-MS datasets for peptides that are proteotypic for specific yeast proteins. We consistently identified and quantified more than 15,000 peptides and 2500 proteins across the 18 samples. We demonstrate high reproducibility between technical and biological replicates across all time points and protein abundances. In addition, we show that the abundance of hundreds of proteins was significantly regulated upon osmotic shock, and pathway enrichment analysis revealed that the proteins reacting to osmotic shock are mainly involved in the carbohydrate and amino acid metabolism. Overall, this study demonstrates the ability of SWATH-MS to efficiently generate reproducible, consistent, and quantitatively accurate measurements of a large fraction of a proteome across multiple samples.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 25561506      PMCID: PMC4349991          DOI: 10.1074/mcp.M113.035550

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


  36 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

Review 2.  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

3.  Highly multiplexed targeted proteomics using precise control of peptide retention time.

Authors:  Sebastien Gallien; Scott Peterman; Reiko Kiyonami; Jamal Souady; Elodie Duriez; Alan Schoen; Bruno Domon
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

4.  Targeted proteomic quantification on quadrupole-orbitrap mass spectrometer.

Authors:  Sebastien Gallien; Elodie Duriez; Catharina Crone; Markus Kellmann; Thomas Moehring; Bruno Domon
Journal:  Mol Cell Proteomics       Date:  2012-09-07       Impact factor: 5.911

5.  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

6.  Using iRT, a normalized retention time for more targeted measurement of peptides.

Authors:  Claudia Escher; Lukas Reiter; Brendan MacLean; Reto Ossola; Franz Herzog; John Chilton; Michael J MacCoss; Oliver Rinner
Journal:  Proteomics       Date:  2012-04       Impact factor: 3.984

7.  Protein significance analysis in selected reaction monitoring (SRM) measurements.

Authors:  Ching-Yun Chang; Paola Picotti; Ruth Hüttenhain; Viola Heinzelmann-Schwarz; Marko Jovanovic; Ruedi Aebersold; Olga Vitek
Journal:  Mol Cell Proteomics       Date:  2011-12-21       Impact factor: 5.911

8.  TraML--a standard format for exchange of selected reaction monitoring transition lists.

Authors:  Eric W Deutsch; Matthew Chambers; Steffen Neumann; Fredrik Levander; Pierre-Alain Binz; Jim Shofstahl; David S Campbell; Luis Mendoza; David Ovelleiro; Kenny Helsens; Lennart Martens; Ruedi Aebersold; Robert L Moritz; Mi-Youn Brusniak
Journal:  Mol Cell Proteomics       Date:  2011-12-12       Impact factor: 5.911

9.  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

10.  Proteome-wide selected reaction monitoring assays for the human pathogen Streptococcus pyogenes.

Authors:  Christofer Karlsson; Lars Malmström; Ruedi Aebersold; Johan Malmström
Journal:  Nat Commun       Date:  2012       Impact factor: 14.919

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  63 in total

1.  DeMix-Q: Quantification-Centered Data Processing Workflow.

Authors:  Bo Zhang; Lukas Käll; Roman A Zubarev
Journal:  Mol Cell Proteomics       Date:  2016-01-04       Impact factor: 5.911

Review 2.  Quantifying ubiquitin signaling.

Authors:  Alban Ordureau; Christian Münch; J Wade Harper
Journal:  Mol Cell       Date:  2015-05-21       Impact factor: 17.970

3.  Building high-quality assay libraries for targeted analysis of SWATH MS data.

Authors:  Olga T Schubert; Ludovic C Gillet; Ben C Collins; Pedro Navarro; George Rosenberger; Witold E Wolski; Henry Lam; Dario Amodei; Parag Mallick; Brendan MacLean; Ruedi Aebersold
Journal:  Nat Protoc       Date:  2015-02-12       Impact factor: 13.491

4.  Quantitative proteomics: challenges and opportunities in basic and applied research.

Authors:  Olga T Schubert; Hannes L Röst; Ben C Collins; George Rosenberger; Ruedi Aebersold
Journal:  Nat Protoc       Date:  2017-06-01       Impact factor: 13.491

5.  New targeted approaches for the quantification of data-independent acquisition mass spectrometry.

Authors:  Roland Bruderer; Julia Sondermann; Chih-Chiang Tsou; Alonso Barrantes-Freer; Christine Stadelmann; Alexey I Nesvizhskii; Manuela Schmidt; Lukas Reiter; David Gomez-Varela
Journal:  Proteomics       Date:  2017-05       Impact factor: 3.984

6.  Revealing Dynamic Protein Acetylation across Subcellular Compartments.

Authors:  Josue Baeza; Alexis J Lawton; Jing Fan; Michael J Smallegan; Ian Lienert; Tejas Gandhi; Oliver M Bernhardt; Lukas Reiter; John M Denu
Journal:  J Proteome Res       Date:  2020-04-27       Impact factor: 4.466

Review 7.  Clinical applications of quantitative proteomics using targeted and untargeted data-independent acquisition techniques.

Authors:  Jesse G Meyer; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2017-05       Impact factor: 3.940

8.  Data-Independent Acquisition Mass Spectrometry To Quantify Protein Levels in FFPE Tumor Biopsies for Molecular Diagnostics.

Authors:  Yeoun Jin Kim; Steve M M Sweet; Jarrett D Egertson; Andrew J Sedgewick; Sunghee Woo; Wei-Li Liao; Gennifer E Merrihew; Brian C Searle; Charlie Vaske; Robert Heaton; Michael J MacCoss; Todd Hembrough
Journal:  J Proteome Res       Date:  2018-12-12       Impact factor: 4.466

9.  Calibration Using a Single-Point External Reference Material Harmonizes Quantitative Mass Spectrometry Proteomics Data between Platforms and Laboratories.

Authors:  Lindsay K Pino; Brian C Searle; Eric L Huang; William Stafford Noble; Andrew N Hoofnagle; Michael J MacCoss
Journal:  Anal Chem       Date:  2018-10-23       Impact factor: 6.986

10.  Transitioning from Targeted to Comprehensive Mass Spectrometry Using Genetic Algorithms.

Authors:  Jacob D Jaffe; Caitlin M Feeney; Jinal Patel; Xiaodong Lu; D R Mani
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-25       Impact factor: 3.109

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