Literature DB >> 28628219

Application of SWATH Proteomics to Mouse Biology.

Yibo Wu1, Evan G Williams1, Ruedi Aebersold1,2.   

Abstract

The quantitative measurement of the proteome has been shown to yield new insights into physiology and cell biology that cannot be determined from the genome and transcriptome because the quantitative relationship between transcriptome and proteome is complex. MS-based proteomics techniques, such as SWATH-MS, have recently advanced to the point at which they may be reliably applied by biologists who are not specialists in mass spectrometry. Here we provide standard protocols for preparation of tissue samples for input into the SWATH-MS analytical pipeline. These protocols are designed for high-throughput processing of tissues with ≥5 mg of sample available for analysis. Studies with extremely limited amounts of tissue should consider PCT-SWATH. An experienced single user should be able to process 48 samples per day for injection into the mass spectrometer, or up to 144 samples a week. The machine time necessary for running these samples with SWATH is approximately 1.5 hr per sample. Data acquisition protocols are also provided. © 2017 by John Wiley & Sons, Inc.
Copyright © 2017 John Wiley & Sons, Inc.

Entities:  

Keywords:  mass spectrometry; proteomics; systems biology

Mesh:

Substances:

Year:  2017        PMID: 28628219      PMCID: PMC5569239          DOI: 10.1002/cpmo.28

Source DB:  PubMed          Journal:  Curr Protoc Mouse Biol        ISSN: 2161-2617


  27 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.  Minimal sample requirement for highly multiplexed protein quantification in cell lines and tissues by PCT-SWATH mass spectrometry.

Authors:  Shiying Shao; Tiannan Guo; Chiek Ching Koh; Silke Gillessen; Markus Joerger; Wolfram Jochum; Ruedi Aebersold
Journal:  Proteomics       Date:  2015-09-10       Impact factor: 3.984

3.  Using annotated peptide mass spectrum libraries for protein identification.

Authors:  R Craig; J C Cortens; D Fenyo; R C Beavis
Journal:  J Proteome Res       Date:  2006-08       Impact factor: 4.466

4.  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

5.  Protein identification false discovery rates for very large proteomics data sets generated by tandem mass spectrometry.

Authors:  Lukas Reiter; Manfred Claassen; Sabine P Schrimpf; Marko Jovanovic; Alexander Schmidt; Joachim M Buhmann; Michael O Hengartner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2009-07-16       Impact factor: 5.911

6.  mProphet: automated data processing and statistical validation for large-scale SRM experiments.

Authors:  Lukas Reiter; Oliver Rinner; Paola Picotti; Ruth Hüttenhain; Martin Beck; Mi-Youn Brusniak; Michael O Hengartner; Ruedi Aebersold
Journal:  Nat Methods       Date:  2011-03-20       Impact factor: 28.547

Review 7.  Mass Spectrometry Applied to Bottom-Up Proteomics: Entering the High-Throughput Era for Hypothesis Testing.

Authors:  Ludovic C Gillet; Alexander Leitner; Ruedi Aebersold
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2016-03-30       Impact factor: 10.745

8.  mapDIA: Preprocessing and statistical analysis of quantitative proteomics data from data independent acquisition mass spectrometry.

Authors:  Guoshou Teo; Sinae Kim; Chih-Chiang Tsou; Ben Collins; Anne-Claude Gingras; Alexey I Nesvizhskii; Hyungwon Choi
Journal:  J Proteomics       Date:  2015-09-15       Impact factor: 4.044

9.  TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics.

Authors:  Hannes L Röst; Yansheng Liu; Giuseppe D'Agostino; Matteo Zanella; Pedro Navarro; George Rosenberger; Ben C Collins; Ludovic Gillet; Giuseppe Testa; Lars Malmström; Ruedi Aebersold
Journal:  Nat Methods       Date:  2016-08-01       Impact factor: 28.547

10.  Conserved peptide fragmentation as a benchmarking tool for mass spectrometers and a discriminating feature for targeted proteomics.

Authors:  Umut H Toprak; Ludovic C Gillet; Alessio Maiolica; Pedro Navarro; Alexander Leitner; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2014-03-12       Impact factor: 5.911

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  7 in total

1.  Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population.

Authors:  Evan G Williams; Yibo Wu; Witold Wolski; Jun Yong Kim; Jiayi Lan; Moaraj Hasan; Christian Halter; Pooja Jha; Dongryeol Ryu; Johan Auwerx; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2018-06-26       Impact factor: 5.911

2.  Multiomic profiling of the liver across diets and age in a diverse mouse population.

Authors:  Evan G Williams; Niklas Pfister; Suheeta Roy; Cyril Statzer; Jack Haverty; Jesse Ingels; Casey Bohl; Moaraj Hasan; Jelena Čuklina; Peter Bühlmann; Nicola Zamboni; Lu Lu; Collin Y Ewald; Robert W Williams; Ruedi Aebersold
Journal:  Cell Syst       Date:  2021-10-18       Impact factor: 10.304

3.  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

4.  Integration of Ion Mobility MSE after Fully Automated, Online, High-Resolution Liquid Extraction Surface Analysis Micro-Liquid Chromatography.

Authors:  Lieke Lamont; Mark Baumert; Nina Ogrinc Potočnik; Mark Allen; Rob Vreeken; Ron M A Heeren; Tiffany Porta
Journal:  Anal Chem       Date:  2017-10-06       Impact factor: 6.986

5.  Molecular pathways behind acquired obesity: Adipose tissue and skeletal muscle multiomics in monozygotic twin pairs discordant for BMI.

Authors:  Birgitta W van der Kolk; Sina Saari; Alen Lovric; Muhammad Arif; Marcus Alvarez; Arthur Ko; Zong Miao; Navid Sahebekhtiari; Maheswary Muniandy; Sini Heinonen; Ali Oghabian; Riikka Jokinen; Sakari Jukarainen; Antti Hakkarainen; Jesper Lundbom; Juho Kuula; Per-Henrik Groop; Taru Tukiainen; Nina Lundbom; Aila Rissanen; Jaakko Kaprio; Evan G Williams; Nicola Zamboni; Adil Mardinoglu; Päivi Pajukanta; Kirsi H Pietiläinen
Journal:  Cell Rep Med       Date:  2021-03-30

Review 6.  Analytical Considerations of Large-Scale Aptamer-Based Datasets for Translational Applications.

Authors:  Will Jiang; Jennifer C Jones; Uma Shankavaram; Mary Sproull; Kevin Camphausen; Andra V Krauze
Journal:  Cancers (Basel)       Date:  2022-04-29       Impact factor: 6.639

7.  The mouse metallomic landscape of aging and metabolism.

Authors:  Jean-David Morel; Lucie Sauzéat; Ludger J E Goeminne; Pooja Jha; Evan Williams; Riekelt H Houtkooper; Ruedi Aebersold; Johan Auwerx; Vincent Balter
Journal:  Nat Commun       Date:  2022-02-01       Impact factor: 14.919

  7 in total

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