Literature DB >> 31087289

High-Resolution Mass Spectrometry to Identify and Quantify Acetylation Protein Targets.

Birgit Schilling1, Jesse G Meyer2, Lei Wei2, Melanie Ott3, Eric Verdin2.   

Abstract

The dynamic nature of protein posttranslational modification (PTM) allows cells to rapidly respond to changes in their environment, such as nutrition, stress, or signaling. Lysine residues are targets for several types of modifications, including methylation, ubiquitination, and various acylation groups, especially acetylation. Currently, one of the best methods for identification and quantification of protein acetylation is immunoaffinity enrichment in combination with high-resolution mass spectrometry. As we are using a relatively novel and comprehensive mass spectrometric approach, data-independent acquisition (DIA), this protocol provides high-throughput, accurate, and reproducible label-free PTM quantification. Here we describe detailed protocols to process relatively small amounts of mouse liver tissue that integrate isolation of proteins, proteolytic digestion into peptides, immunoaffinity enrichment of acetylated peptides, identification of acetylation sites, and comprehensive quantification of relative abundance changes for thousands of identified lysine acetylation sites.

Entities:  

Keywords:  Acetylation; Data-independent acquisition; Mass spectrometry; Posttranslational modifications; Quantification

Mesh:

Substances:

Year:  2019        PMID: 31087289      PMCID: PMC6825508          DOI: 10.1007/978-1-4939-9434-2_1

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  19 in total

Review 1.  50 years of protein acetylation: from gene regulation to epigenetics, metabolism and beyond.

Authors:  Eric Verdin; Melanie Ott
Journal:  Nat Rev Mol Cell Biol       Date:  2014-12-30       Impact factor: 94.444

2.  Generation of High-Quality SWATH® Acquisition Data for Label-free Quantitative Proteomics Studies Using TripleTOF® Mass Spectrometers.

Authors:  Birgit Schilling; Bradford W Gibson; Christie L Hunter
Journal:  Methods Mol Biol       Date:  2017

Review 3.  The Mitochondrial Acylome Emerges: Proteomics, Regulation by Sirtuins, and Metabolic and Disease Implications.

Authors:  Chris Carrico; Jesse G Meyer; Wenjuan He; Brad W Gibson; Eric Verdin
Journal:  Cell Metab       Date:  2018-03-06       Impact factor: 27.287

4.  DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics.

Authors:  Chih-Chiang Tsou; Dmitry Avtonomov; Brett Larsen; Monika Tucholska; Hyungwon Choi; Anne-Claude Gingras; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2015-01-19       Impact factor: 28.547

5.  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

6.  Label-free quantitative proteomics of the lysine acetylome in mitochondria identifies substrates of SIRT3 in metabolic pathways.

Authors:  Matthew J Rardin; John C Newman; Jason M Held; Michael P Cusack; Dylan J Sorensen; Biao Li; Birgit Schilling; Sean D Mooney; C Ronald Kahn; Eric Verdin; Bradford W Gibson
Journal:  Proc Natl Acad Sci U S A       Date:  2013-04-01       Impact factor: 11.205

7.  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

8.  MS1 Peptide Ion Intensity Chromatograms in MS2 (SWATH) Data Independent Acquisitions. Improving Post Acquisition Analysis of Proteomic Experiments.

Authors:  Matthew J Rardin; Birgit Schilling; Lin-Yang Cheng; Brendan X MacLean; Dylan J Sorensen; Alexandria K Sahu; Michael J MacCoss; Olga Vitek; Bradford W Gibson
Journal:  Mol Cell Proteomics       Date:  2015-05-17       Impact factor: 5.911

9.  MS-GF+ makes progress towards a universal database search tool for proteomics.

Authors:  Sangtae Kim; Pavel A Pevzner
Journal:  Nat Commun       Date:  2014-10-31       Impact factor: 14.919

10.  Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry.

Authors:  Ben C Collins; Christie L Hunter; Yansheng Liu; Birgit Schilling; George Rosenberger; Samuel L Bader; Daniel W Chan; Bradford W Gibson; Anne-Claude Gingras; Jason M Held; Mio Hirayama-Kurogi; Guixue Hou; Christoph Krisp; Brett Larsen; Liang Lin; Siqi Liu; Mark P Molloy; Robert L Moritz; Sumio Ohtsuki; Ralph Schlapbach; Nathalie Selevsek; Stefani N Thomas; Shin-Cheng Tzeng; Hui Zhang; Ruedi Aebersold
Journal:  Nat Commun       Date:  2017-08-21       Impact factor: 14.919

View more
  1 in total

1.  Quantitative Measurement of Melittin in Asian Honeybee Venom Using a New Method Including UPLC-QqTOF-MS.

Authors:  Sheng Huang; Jianhua Wang; Zeqin Guo; Yan Wang; Chundong Liu
Journal:  Toxins (Basel)       Date:  2020-07-04       Impact factor: 4.546

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.