Literature DB >> 32134668

Comparative Analysis of Quantitative Mass Spectrometric Methods for Subcellular Proteomics.

Abla Tannous1, Marielle Boonen2, Haiyan Zheng1, Caifeng Zhao1, Colin J Germain1, Dirk F Moore3, David E Sleat1,4, Michel Jadot5, Peter Lobel1,4.   

Abstract

Knowledge of intracellular location can provide important insights into the function of proteins and their respective organelles, and there is interest in combining classical subcellular fractionation with quantitative mass spectrometry to create global cellular maps. To evaluate mass spectrometric approaches specifically for this application, we analyzed rat liver differential centrifugation and Nycodenz density gradient subcellular fractions by tandem mass tag (TMT) isobaric labeling with reporter ion measurement at the MS2 and MS3 level and with two different label-free peak integration approaches, MS1 and data independent acquisition (DIA). TMT-MS2 provided the greatest proteome coverage, but ratio compression from contaminating background ions resulted in a narrower accurate dynamic range compared to TMT-MS3, MS1, and DIA, which were similar. Using a protein clustering approach to evaluate data quality by assignment of reference proteins to their correct compartments, all methods performed well, with isobaric labeling approaches providing the highest quality localization. Finally, TMT-MS2 gave the lowest percentage of missing quantifiable data when analyzing orthogonal fractionation methods containing overlapping proteomes. In summary, despite inaccuracies resulting from ratio compression, data obtained by TMT-MS2 assigned protein localization as well as other methods but achieved the highest proteome coverage with the lowest proportion of missing values.

Entities:  

Keywords:  isobaric labeling; label free; quantitative mass spectrometry; subcellular fractionation

Year:  2020        PMID: 32134668      PMCID: PMC8063867          DOI: 10.1021/acs.jproteome.9b00862

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  43 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.  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

3.  Comparison of Protein Quantification in a Complex Background by DIA and TMT Workflows with Fixed Instrument Time.

Authors:  Jan Muntel; Joanna Kirkpatrick; Roland Bruderer; Ting Huang; Olga Vitek; Alessandro Ori; Lukas Reiter
Journal:  J Proteome Res       Date:  2019-02-20       Impact factor: 4.466

4.  Using hyperLOPIT to perform high-resolution mapping of the spatial proteome.

Authors:  Claire M Mulvey; Lisa M Breckels; Aikaterini Geladaki; Nina Kočevar Britovšek; Daniel J H Nightingale; Andy Christoforou; Mohamed Elzek; Michael J Deery; Laurent Gatto; Kathryn S Lilley
Journal:  Nat Protoc       Date:  2017-05-04       Impact factor: 13.491

5.  Accurate, Sensitive, and Precise Multiplexed Proteomics Using the Complement Reporter Ion Cluster.

Authors:  Matthew Sonnett; Eyan Yeung; Martin Wühr
Journal:  Anal Chem       Date:  2018-03-30       Impact factor: 6.986

6.  A Portrait of the Human Organelle Proteome In Space and Time during Cytomegalovirus Infection.

Authors:  Pierre M Jean Beltran; Rommel A Mathias; Ileana M Cristea
Journal:  Cell Syst       Date:  2016-09-15       Impact factor: 10.304

7.  Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling.

Authors:  Fang-Ke Huang; Guoan Zhang; Kevin Lawlor; Arpi Nazarian; John Philip; Paul Tempst; Noah Dephoure; Thomas A Neubert
Journal:  J Proteome Res       Date:  2017-02-03       Impact factor: 4.466

8.  Platform-independent and label-free quantitation of proteomic data using MS1 extracted ion chromatograms in skyline: application to protein acetylation and phosphorylation.

Authors:  Birgit Schilling; Matthew J Rardin; Brendan X MacLean; Anna M Zawadzka; Barbara E Frewen; Michael P Cusack; Dylan J Sorensen; Michael S Bereman; Enxuan Jing; Christine C Wu; Eric Verdin; C Ronald Kahn; Michael J Maccoss; Bradford W Gibson
Journal:  Mol Cell Proteomics       Date:  2012-03-26       Impact factor: 5.911

9.  Ensembl 2016.

Authors:  Andrew Yates; Wasiu Akanni; M Ridwan Amode; Daniel Barrell; Konstantinos Billis; Denise Carvalho-Silva; Carla Cummins; Peter Clapham; Stephen Fitzgerald; Laurent Gil; Carlos García Girón; Leo Gordon; Thibaut Hourlier; Sarah E Hunt; Sophie H Janacek; Nathan Johnson; Thomas Juettemann; Stephen Keenan; Ilias Lavidas; Fergal J Martin; Thomas Maurel; William McLaren; Daniel N Murphy; Rishi Nag; Michael Nuhn; Anne Parker; Mateus Patricio; Miguel Pignatelli; Matthew Rahtz; Harpreet Singh Riat; Daniel Sheppard; Kieron Taylor; Anja Thormann; Alessandro Vullo; Steven P Wilder; Amonida Zadissa; Ewan Birney; Jennifer Harrow; Matthieu Muffato; Emily Perry; Magali Ruffier; Giulietta Spudich; Stephen J Trevanion; Fiona Cunningham; Bronwen L Aken; Daniel R Zerbino; Paul Flicek
Journal:  Nucleic Acids Res       Date:  2015-12-19       Impact factor: 16.971

10.  Benchmarking common quantification strategies for large-scale phosphoproteomics.

Authors:  Alexander Hogrebe; Louise von Stechow; Dorte B Bekker-Jensen; Brian T Weinert; Christian D Kelstrup; Jesper V Olsen
Journal:  Nat Commun       Date:  2018-03-13       Impact factor: 14.919

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  6 in total

1.  Comparison of MS2, synchronous precursor selection MS3, and real-time search MS3 methodologies for lung proteomes of hydrogen sulfide treated swine.

Authors:  Qin Fu; Zhen Liu; Ruchika Bhawal; Elizabeth T Anderson; Robert W Sherwood; Yong Yang; Theodore Thannhauser; Martine Schroyen; Xiangfang Tang; Hongfu Zhang; Sheng Zhang
Journal:  Anal Bioanal Chem       Date:  2020-10-25       Impact factor: 4.142

Review 2.  Proximity labeling and other novel mass spectrometric approaches for spatiotemporal protein dynamics.

Authors:  Lindsay Pino; Birgit Schilling
Journal:  Expert Rev Proteomics       Date:  2021-09-15       Impact factor: 4.250

Review 3.  Organellar Maps Through Proteomic Profiling - A Conceptual Guide.

Authors:  Georg H H Borner
Journal:  Mol Cell Proteomics       Date:  2020-04-28       Impact factor: 5.911

4.  LC-MS peak assignment based on unanimous selection by six machine learning algorithms.

Authors:  Hiroaki Ito; Takashi Matsui; Ryo Konno; Makoto Itakura; Yoshio Kodera
Journal:  Sci Rep       Date:  2021-12-03       Impact factor: 4.379

5.  Biologic correlates of beneficial convalescent plasma therapy in a COVID-19 patient reveal disease resolution mechanisms.

Authors:  Natalie Bruiners; Valentina Guerrini; Rahul Ukey; Ryan Dikdan; Jason Yang; Pankaj Kumar Mishra; Alberta Onyuka; Deborah Handler; Joshua Vieth; Mary Carayannopulos; Shuang Guo; Maressa Pollen; Abraham Pinter; Sanjay Tyagi; Daniel Feingold; Claire Philipp; Steven Libutti; Maria Laura Gennaro
Journal:  medRxiv       Date:  2022-02-03

Review 6.  An Optimized Comparative Proteomic Approach as a Tool in Neurodegenerative Disease Research.

Authors:  Rachel A Kline; Lena Lößlein; Dominic Kurian; Judit Aguilar Martí; Samantha L Eaton; Felipe A Court; Thomas H Gillingwater; Thomas M Wishart
Journal:  Cells       Date:  2022-08-26       Impact factor: 7.666

  6 in total

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