Literature DB >> 25675208

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

Olga T Schubert1, Ludovic C Gillet2, Ben C Collins2, Pedro Navarro3, George Rosenberger1, Witold E Wolski4, Henry Lam5, Dario Amodei6, Parag Mallick6, Brendan MacLean7, Ruedi Aebersold8.   

Abstract

Targeted proteomics by selected/multiple reaction monitoring (S/MRM) or, on a larger scale, by SWATH (sequential window acquisition of all theoretical spectra) MS (mass spectrometry) typically relies on spectral reference libraries for peptide identification. Quality and coverage of these libraries are therefore of crucial importance for the performance of the methods. Here we present a detailed protocol that has been successfully used to build high-quality, extensive reference libraries supporting targeted proteomics by SWATH MS. We describe each step of the process, including data acquisition by discovery proteomics, assertion of peptide-spectrum matches (PSMs), generation of consensus spectra and compilation of MS coordinates that uniquely define each targeted peptide. Crucial steps such as false discovery rate (FDR) control, retention time normalization and handling of post-translationally modified peptides are detailed. Finally, we show how to use the library to extract SWATH data with the open-source software Skyline. The protocol takes 2-3 d to complete, depending on the extent of the library and the computational resources available.

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Year:  2015        PMID: 25675208     DOI: 10.1038/nprot.2015.015

Source DB:  PubMed          Journal:  Nat Protoc        ISSN: 1750-2799            Impact factor:   13.491


  59 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  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

3.  Development and validation of a spectral library searching method for peptide identification from MS/MS.

Authors:  Henry Lam; Eric W Deutsch; James S Eddes; Jimmy K Eng; Nichole King; Stephen E Stein; Ruedi Aebersold
Journal:  Proteomics       Date:  2007-03       Impact factor: 3.984

Review 4.  Building and searching tandem mass (MS/MS) spectral libraries for peptide identification in proteomics.

Authors:  Henry Lam; Ruedi Aebersold
Journal:  Methods       Date:  2011-01-28       Impact factor: 3.608

5.  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

6.  Full dynamic range proteome analysis of S. cerevisiae by targeted proteomics.

Authors:  Paola Picotti; Bernd Bodenmiller; Lukas N Mueller; Bruno Domon; Ruedi Aebersold
Journal:  Cell       Date:  2009-08-06       Impact factor: 41.582

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

8.  In-source fragmentation and the sources of partially tryptic peptides in shotgun proteomics.

Authors:  Jong-Seo Kim; Matthew E Monroe; David G Camp; Richard D Smith; Wei-Jun Qian
Journal:  J Proteome Res       Date:  2013-01-16       Impact factor: 4.466

9.  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

10.  A cross-platform toolkit for mass spectrometry and proteomics.

Authors:  Matthew C Chambers; Brendan Maclean; Robert Burke; Dario Amodei; Daniel L Ruderman; Steffen Neumann; Laurent Gatto; Bernd Fischer; Brian Pratt; Jarrett Egertson; Katherine Hoff; Darren Kessner; Natalie Tasman; Nicholas Shulman; Barbara Frewen; Tahmina A Baker; Mi-Youn Brusniak; Christopher Paulse; David Creasy; Lisa Flashner; Kian Kani; Chris Moulding; Sean L Seymour; Lydia M Nuwaysir; Brent Lefebvre; Frank Kuhlmann; Joe Roark; Paape Rainer; Suckau Detlev; Tina Hemenway; Andreas Huhmer; James Langridge; Brian Connolly; Trey Chadick; Krisztina Holly; Josh Eckels; Eric W Deutsch; Robert L Moritz; Jonathan E Katz; David B Agus; Michael MacCoss; David L Tabb; Parag Mallick
Journal:  Nat Biotechnol       Date:  2012-10       Impact factor: 54.908

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  111 in total

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Journal:  Mol Cell Proteomics       Date:  2016-01-25       Impact factor: 5.911

2.  Genome-Wide Association Mapping Reveals That Specific and Pleiotropic Regulatory Mechanisms Fine-Tune Central Metabolism and Growth in Arabidopsis.

Authors:  Corina M Fusari; Rik Kooke; Martin A Lauxmann; Maria Grazia Annunziata; Beatrice Enke; Melanie Hoehne; Nicole Krohn; Frank F M Becker; Armin Schlereth; Ronan Sulpice; Mark Stitt; Joost J B Keurentjes
Journal:  Plant Cell       Date:  2017-09-27       Impact factor: 11.277

3.  Automated Workflow for Peptide-Level Quantitation from DIA/SWATH-MS Data.

Authors:  Shubham Gupta; Hannes Röst
Journal:  Methods Mol Biol       Date:  2021

4.  A better scoring model for de novo peptide sequencing: the symmetric difference between explained and measured masses.

Authors:  Thomas Tschager; Simon Rösch; Ludovic Gillet; Peter Widmayer
Journal:  Algorithms Mol Biol       Date:  2017-05-11       Impact factor: 1.405

5.  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

6.  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

7.  An integrated transcriptomics-guided genome-wide promoter analysis and next-generation proteomics approach to mine factor(s) regulating cellular differentiation.

Authors:  Kamal Mandal; Samuel L Bader; Pankaj Kumar; Dipankar Malakar; David S Campbell; Bhola Shankar Pradhan; Rajesh K Sarkar; Neerja Wadhwa; Souvik Sensharma; Vaibhav Jain; Robert L Moritz; Subeer S Majumdar
Journal:  DNA Res       Date:  2017-04-01       Impact factor: 4.458

Review 8.  Identification of small molecules using accurate mass MS/MS search.

Authors:  Tobias Kind; Hiroshi Tsugawa; Tomas Cajka; Yan Ma; Zijuan Lai; Sajjan S Mehta; Gert Wohlgemuth; Dinesh Kumar Barupal; Megan R Showalter; Masanori Arita; Oliver Fiehn
Journal:  Mass Spectrom Rev       Date:  2017-04-24       Impact factor: 10.946

9.  Progress on the HUPO Draft Human Proteome: 2017 Metrics of the Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Christopher M Overall; Eric W Deutsch
Journal:  J Proteome Res       Date:  2017-10-09       Impact factor: 4.466

10.  Systems-level Proteomics of Two Ubiquitous Leaf Commensals Reveals Complementary Adaptive Traits for Phyllosphere Colonization.

Authors:  Daniel B Müller; Olga T Schubert; Hannes Röst; Ruedi Aebersold; Julia A Vorholt
Journal:  Mol Cell Proteomics       Date:  2016-07-25       Impact factor: 5.911

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