Literature DB >> 31599596

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0.

Eric W Deutsch1, Lydie Lane2, Christopher M Overall3, Nuno Bandeira4, Mark S Baker5, Charles Pineau6, Robert L Moritz1, Fernando Corrales7, Sandra Orchard8, Jennifer E Van Eyk9, Young-Ki Paik10, Susan T Weintraub11, Yves Vandenbrouck12, Gilbert S Omenn1,13.   

Abstract

The Human Proteome Organization's (HUPO) Human Proteome Project (HPP) developed Mass Spectrometry (MS) Data Interpretation Guidelines that have been applied since 2016. These guidelines have helped ensure that the emerging draft of the complete human proteome is highly accurate and with low numbers of false-positive protein identifications. Here, we describe an update to these guidelines based on consensus-reaching discussions with the wider HPP community over the past year. The revised 3.0 guidelines address several major and minor identified gaps. We have added guidelines for emerging data independent acquisition (DIA) MS workflows and for use of the new Universal Spectrum Identifier (USI) system being developed by the HUPO Proteomics Standards Initiative (PSI). In addition, we discuss updates to the standard HPP pipeline for collecting MS evidence for all proteins in the HPP, including refinements to minimum evidence. We present a new plan for incorporating MassIVE-KB into the HPP pipeline for the next (HPP 2020) cycle in order to obtain more comprehensive coverage of public MS data sets. The main checklist has been reorganized under headings and subitems, and related guidelines have been grouped. In sum, Version 2.1 of the HPP MS Data Interpretation Guidelines has served well, and this timely update to version 3.0 will aid the HPP as it approaches its goal of collecting and curating MS evidence of translation and expression for all predicted ∼20 000 human proteins encoded by the human genome.

Entities:  

Keywords:  B/D-HPP; C-HPP; HPP; Human Proteome Project; Universal Spectrum Identifier (USI); false-discovery rates; guidelines; mass spectrometry; standards; unicity checker

Year:  2019        PMID: 31599596      PMCID: PMC6986310          DOI: 10.1021/acs.jproteome.9b00542

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


  48 in total

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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

3.  Site-specific mapping of the human SUMO proteome reveals co-modification with phosphorylation.

Authors:  Ivo A Hendriks; David Lyon; Clifford Young; Lars J Jensen; Alfred C O Vertegaal; Michael L Nielsen
Journal:  Nat Struct Mol Biol       Date:  2017-01-23       Impact factor: 15.369

4.  Metrics for the Human Proteome Project 2013-2014 and strategies for finding missing proteins.

Authors:  Lydie Lane; Amos Bairoch; Ronald C Beavis; Eric W Deutsch; Pascale Gaudet; Emma Lundberg; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2013-12-23       Impact factor: 4.466

5.  The PeptideAtlas project.

Authors:  Frank Desiere; Eric W Deutsch; Nichole L King; Alexey I Nesvizhskii; Parag Mallick; Jimmy Eng; Sharon Chen; James Eddes; Sandra N Loevenich; Ruedi Aebersold
Journal:  Nucleic Acids Res       Date:  2006-01-01       Impact factor: 16.971

6.  Extending the limits of quantitative proteome profiling with data-independent acquisition and application to acetaminophen-treated three-dimensional liver microtissues.

Authors:  Roland Bruderer; Oliver M Bernhardt; Tejas Gandhi; Saša M Miladinović; Lin-Yang Cheng; Simon Messner; Tobias Ehrenberger; Vito Zanotelli; Yulia Butscheid; Claudia Escher; Olga Vitek; Oliver Rinner; Lukas Reiter
Journal:  Mol Cell Proteomics       Date:  2015-02-27       Impact factor: 5.911

7.  The neXtProt peptide uniqueness checker: a tool for the proteomics community.

Authors:  Mathieu Schaeffer; Alain Gateau; Daniel Teixeira; Pierre-André Michel; Monique Zahn-Zabal; Lydie Lane
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

8.  ProteomeXchange provides globally coordinated proteomics data submission and dissemination.

Authors:  Juan A Vizcaíno; Eric W Deutsch; Rui Wang; Attila Csordas; Florian Reisinger; Daniel Ríos; José A Dianes; Zhi Sun; Terry Farrah; Nuno Bandeira; Pierre-Alain Binz; Ioannis Xenarios; Martin Eisenacher; Gerhard Mayer; Laurent Gatto; Alex Campos; Robert J Chalkley; Hans-Joachim Kraus; Juan Pablo Albar; Salvador Martinez-Bartolomé; Rolf Apweiler; Gilbert S Omenn; Lennart Martens; Andrew R Jones; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2014-03       Impact factor: 54.908

9.  Analyzing the first drafts of the human proteome.

Authors:  Iakes Ezkurdia; Jesús Vázquez; Alfonso Valencia; Michael Tress
Journal:  J Proteome Res       Date:  2014-07-16       Impact factor: 4.466

10.  The jPOST environment: an integrated proteomics data repository and database.

Authors:  Yuki Moriya; Shin Kawano; Shujiro Okuda; Yu Watanabe; Masaki Matsumoto; Tomoyo Takami; Daiki Kobayashi; Yoshinori Yamanouchi; Norie Araki; Akiyasu C Yoshizawa; Tsuyoshi Tabata; Mio Iwasaki; Naoyuki Sugiyama; Satoshi Tanaka; Susumu Goto; Yasushi Ishihama
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

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1.  Revelation of Proteomic Indicators for Colorectal Cancer in Initial Stages of Development.

Authors:  Arthur T Kopylov; Alexander A Stepanov; Kristina A Malsagova; Deepesh Soni; Nikolay E Kushlinsky; Dmitry V Enikeev; Natalia V Potoldykova; Andrey V Lisitsa; Anna L Kaysheva
Journal:  Molecules       Date:  2020-01-31       Impact factor: 4.411

2.  Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Fernando J Corrales; Jochen M Schwenk; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Stephen Pennington; Michael P Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2019-09-13       Impact factor: 4.466

3.  The Arabidopsis PeptideAtlas: Harnessing worldwide proteomics data to create a comprehensive community proteomics resource.

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4.  TP53-inducible putative long noncoding RNAs encode functional polypeptides that suppress cell proliferation.

Authors:  Wenli Xu; Chang Liu; Bing Deng; Penghui Lin; Zhenghua Sun; Anrui Liu; Jiajia Xuan; Yuying Li; Keren Zhou; Xiaoqin Zhang; Qiaojuan Huang; Hui Zhou; Qingyu He; Bin Li; Lianghu Qu; Jianhua Yang
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Review 5.  Advances and Utility of the Human Plasma Proteome.

Authors:  Eric W Deutsch; Gilbert S Omenn; Zhi Sun; Michal Maes; Maria Pernemalm; Krishnan K Palaniappan; Natasha Letunica; Yves Vandenbrouck; Virginie Brun; Sheng-Ce Tao; Xiaobo Yu; Philipp E Geyer; Vera Ignjatovic; Robert L Moritz; Jochen M Schwenk
Journal:  J Proteome Res       Date:  2021-10-21       Impact factor: 5.370

6.  Progress Identifying and Analyzing the Human Proteome: 2021 Metrics from the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Young-Ki Paik; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Susan Weintraub; Michael H A Roehrl; Siqi Liu; Nuno Bandeira; Sudhir Srivastava; Yu-Ju Chen; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2021-10-20       Impact factor: 5.370

7.  Research on the Human Proteome Reaches a Major Milestone: >90% of Predicted Human Proteins Now Credibly Detected, According to the HUPO Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Christopher M Overall; Ileana M Cristea; Fernando J Corrales; Cecilia Lindskog; Young-Ki Paik; Jennifer E Van Eyk; Siqi Liu; Stephen R Pennington; Michael P Snyder; Mark S Baker; Nuno Bandeira; Ruedi Aebersold; Robert L Moritz; Eric W Deutsch
Journal:  J Proteome Res       Date:  2020-10-19       Impact factor: 4.466

8.  Empowering Shotgun Mass Spectrometry with 2DE: A HepG2 Study.

Authors:  Olga Kiseleva; Elena Ponomarenko; Ekaterina Poverennaya
Journal:  Int J Mol Sci       Date:  2020-05-27       Impact factor: 5.923

9.  Is It Possible to Find Needles in a Haystack? Meta-Analysis of 1000+ MS/MS Files Provided by the Russian Proteomic Consortium for Mining Missing Proteins.

Authors:  Ekaterina Poverennaya; Olga Kiseleva; Ekaterina Ilgisonis; Svetlana Novikova; Arthur Kopylov; Yuri Ivanov; Alexei Kononikhin; Mikhail Gorshkov; Nikolay Kushlinskii; Alexander Archakov; Elena Ponomarenko
Journal:  Proteomes       Date:  2020-05-23

10.  A Multi-Omics Study of Human Testis and Epididymis.

Authors:  Weimin Zheng; Yang Zhang; Chuanyu Sun; Shengyang Ge; Yifan Tan; Huali Shen; Pengyuan Yang
Journal:  Molecules       Date:  2021-06-02       Impact factor: 4.411

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