Literature DB >> 26199342

Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.

Sarah J Parker1, Hannes Rost2, George Rosenberger2, Ben C Collins3, Lars Malmström4, Dario Amodei5, Vidya Venkatraman1, Koen Raedschelders1, Jennifer E Van Eyk6, Ruedi Aebersold7.   

Abstract

Accurate knowledge of retention time (RT) in liquid chromatography-based mass spectrometry data facilitates peptide identification, quantification, and multiplexing in targeted and discovery-based workflows. Retention time prediction is particularly important for peptide analysis in emerging data-independent acquisition (DIA) experiments such as SWATH-MS. The indexed RT approach, iRT, uses synthetic spiked-in peptide standards (SiRT) to set RT to a unit-less scale, allowing for normalization of peptide RT between different samples and chromatographic set-ups. The obligatory use of SiRTs can be costly and complicates comparisons and data integration if standards are not included in every sample. Reliance on SiRTs also prevents the inclusion of archived mass spectrometry data for generation of the peptide assay libraries central to targeted DIA-MS data analysis. We have identified a set of peptide sequences that are conserved across most eukaryotic species, termed Common internal Retention Time standards (CiRT). In a series of tests to support the appropriateness of the CiRT-based method, we show: (1) the CiRT peptides normalized RT in human, yeast, and mouse cell lysate derived peptide assay libraries and enabled merging of archived libraries for expanded DIA-MS quantitative applications; (2) CiRTs predicted RT in SWATH-MS data within a 2-min margin of error for the majority of peptides; and (3) normalization of RT using the CiRT peptides enabled the accurate SWATH-MS-based quantification of 340 synthetic isotopically labeled peptides that were spiked into either human or yeast cell lysate. To automate and facilitate the use of these CiRT peptide lists or other custom user-defined internal RT reference peptides in DIA workflows, an algorithm was designed to automatically select a high-quality subset of datapoints for robust linear alignment of RT for use. Implementations of this algorithm are available for the OpenSWATH and Skyline platforms. Thus, CiRT peptides can be used alone or as a complement to SiRTs for RT normalization across peptide spectral libraries and in quantitative DIA-MS studies.
© 2015 by The American Society for Biochemistry and Molecular Biology, Inc.

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Year:  2015        PMID: 26199342      PMCID: PMC4597153          DOI: 10.1074/mcp.O114.042267

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


  19 in total

1.  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 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.  Maximizing peptide identification events in proteomic workflows using data-dependent acquisition (DDA).

Authors:  Nicholas W Bateman; Scott P Goulding; Nicholas J Shulman; Avinash K Gadok; Karen K Szumlinski; Michael J MacCoss; Christine C Wu
Journal:  Mol Cell Proteomics       Date:  2013-07-02       Impact factor: 5.911

5.  Quantifying protein interaction dynamics by SWATH mass spectrometry: application to the 14-3-3 system.

Authors:  Ben C Collins; Ludovic C Gillet; George Rosenberger; Hannes L Röst; Anton Vichalkovski; Matthias Gstaiger; Ruedi Aebersold
Journal:  Nat Methods       Date:  2013-10-27       Impact factor: 28.547

6.  Quantitative measurements of N-linked glycoproteins in human plasma by SWATH-MS.

Authors:  Yansheng Liu; Ruth Hüttenhain; Silvia Surinova; Ludovic C J Gillet; Jeppe Mouritsen; Roland Brunner; Pedro Navarro; Ruedi Aebersold
Journal:  Proteomics       Date:  2013-03-11       Impact factor: 3.984

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.  The Mtb proteome library: a resource of assays to quantify the complete proteome of Mycobacterium tuberculosis.

Authors:  Olga T Schubert; Jeppe Mouritsen; Christina Ludwig; Hannes L Röst; George Rosenberger; Patrick K Arthur; Manfred Claassen; David S Campbell; Zhi Sun; Terry Farrah; Martin Gengenbacher; Alessio Maiolica; Stefan H E Kaufmann; Robert L Moritz; Ruedi Aebersold
Journal:  Cell Host Microbe       Date:  2013-05-15       Impact factor: 21.023

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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  23 in total

1.  Mapping Biological Networks from Quantitative Data-Independent Acquisition Mass Spectrometry: Data to Knowledge Pipelines.

Authors:  Erin L Crowgey; Andrea Matlock; Vidya Venkatraman; Justyna Fert-Bober; Jennifer E Van Eyk
Journal:  Methods Mol Biol       Date:  2017

2.  A Skyline Plugin for Pathway-Centric Data Browsing.

Authors:  Michael G Degan; Lillian Ryadinskiy; Grant M Fujimoto; Christopher S Wilkins; Cheryl F Lichti; Samuel H Payne
Journal:  J Am Soc Mass Spectrom       Date:  2016-08-16       Impact factor: 3.109

3.  SWATH Mass Spectrometry Performance Using Extended Peptide MS/MS Assay Libraries.

Authors:  Jemma X Wu; Xiaomin Song; Dana Pascovici; Thiri Zaw; Natasha Care; Christoph Krisp; Mark P Molloy
Journal:  Mol Cell Proteomics       Date:  2016-05-09       Impact factor: 5.911

4.  SWATH-MS Protocols in Human Diseases.

Authors:  Maria Del Pilar Chantada-Vázquez; María García Vence; Antonio Serna; Cristina Núñez; Susana B Bravo
Journal:  Methods Mol Biol       Date:  2021

5.  Deep-Dive Targeted Quantification for Ultrasensitive Analysis of Proteins in Nondepleted Human Blood Plasma/Serum and Tissues.

Authors:  Song Nie; Tujin Shi; Thomas L Fillmore; Athena A Schepmoes; Heather Brewer; Yuqian Gao; Ehwang Song; Hui Wang; Karin D Rodland; Wei-Jun Qian; Richard D Smith; Tao Liu
Journal:  Anal Chem       Date:  2017-08-11       Impact factor: 6.986

Review 6.  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

7.  A Conserved Mito-Cytosolic Translational Balance Links Two Longevity Pathways.

Authors:  Marte Molenaars; Georges E Janssens; Evan G Williams; Aldo Jongejan; Jiayi Lan; Sylvie Rabot; Fatima Joly; Perry D Moerland; Bauke V Schomakers; Marco Lezzerini; Yasmine J Liu; Mark A McCormick; Brian K Kennedy; Michel van Weeghel; Antoine H C van Kampen; Ruedi Aebersold; Alyson W MacInnes; Riekelt H Houtkooper
Journal:  Cell Metab       Date:  2020-02-20       Impact factor: 27.287

8.  Locus-specific Retention Predictor (LsRP): A Peptide Retention Time Predictor Developed for Precision Proteomics.

Authors:  Wenyuan Lu; Xiaohui Liu; Shanshan Liu; Weiqian Cao; Yang Zhang; Pengyuan Yang
Journal:  Sci Rep       Date:  2017-03-17       Impact factor: 4.379

9.  High-precision iRT prediction in the targeted analysis of data-independent acquisition and its impact on identification and quantitation.

Authors:  Roland Bruderer; Oliver M Bernhardt; Tejas Gandhi; Lukas Reiter
Journal:  Proteomics       Date:  2016-06-28       Impact factor: 3.984

10.  Optimization of Experimental Parameters in Data-Independent Mass Spectrometry Significantly Increases Depth and Reproducibility of Results.

Authors:  Roland Bruderer; Oliver M Bernhardt; Tejas Gandhi; Yue Xuan; Julia Sondermann; Manuela Schmidt; David Gomez-Varela; Lukas Reiter
Journal:  Mol Cell Proteomics       Date:  2017-10-25       Impact factor: 5.911

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