Literature DB >> 27490519

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 2.1.

Eric W Deutsch1, Christopher M Overall2, Jennifer E Van Eyk3, Mark S Baker4, Young-Ki Paik5, Susan T Weintraub6, Lydie Lane7, Lennart Martens8,9, Yves Vandenbrouck10, Ulrike Kusebauch1, William S Hancock11, Henning Hermjakob12,13, Ruedi Aebersold14,15, Robert L Moritz1, Gilbert S Omenn1,16.   

Abstract

Every data-rich community research effort requires a clear plan for ensuring the quality of the data interpretation and comparability of analyses. To address this need within the Human Proteome Project (HPP) of the Human Proteome Organization (HUPO), we have developed through broad consultation a set of mass spectrometry data interpretation guidelines that should be applied to all HPP data contributions. For submission of manuscripts reporting HPP protein identification results, the guidelines are presented as a one-page checklist containing 15 essential points followed by two pages of expanded description of each. Here we present an overview of the guidelines and provide an in-depth description of each of the 15 elements to facilitate understanding of the intentions and rationale behind the guidelines, for both authors and reviewers. Broadly, these guidelines provide specific directions regarding how HPP data are to be submitted to mass spectrometry data repositories, how error analysis should be presented, and how detection of novel proteins should be supported with additional confirmatory evidence. These guidelines, developed by the HPP community, are presented to the broader scientific community for further discussion.

Entities:  

Keywords:  Human Proteome Project; alternative protein matches; false-discovery rates; guidelines; mass spectrometry; standards

Mesh:

Substances:

Year:  2016        PMID: 27490519      PMCID: PMC5096969          DOI: 10.1021/acs.jproteome.6b00392

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


  39 in total

1.  Empirical statistical model to estimate the accuracy of peptide identifications made by MS/MS and database search.

Authors:  Andrew Keller; Alexey I Nesvizhskii; Eugene Kolker; Ruedi Aebersold
Journal:  Anal Chem       Date:  2002-10-15       Impact factor: 6.986

2.  Analysis of the resolution limitations of peptide identification algorithms.

Authors:  Niklaas Colaert; Sven Degroeve; Kenny Helsens; Lennart Martens
Journal:  J Proteome Res       Date:  2011-10-26       Impact factor: 4.466

3.  Reporting protein identification data: the next generation of guidelines.

Authors:  Ralph A Bradshaw; Alma L Burlingame; Steven Carr; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2006-05       Impact factor: 5.911

Review 4.  The minimum information about a proteomics experiment (MIAPE).

Authors:  Chris F Taylor; Norman W Paton; Kathryn S Lilley; Pierre-Alain Binz; Randall K Julian; Andrew R Jones; Weimin Zhu; Rolf Apweiler; Ruedi Aebersold; Eric W Deutsch; Michael J Dunn; Albert J R Heck; Alexander Leitner; Marcus Macht; Matthias Mann; Lennart Martens; Thomas A Neubert; Scott D Patterson; Peipei Ping; Sean L Seymour; Puneet Souda; Akira Tsugita; Joel Vandekerckhove; Thomas M Vondriska; Julian P Whitelegge; Marc R Wilkins; Ioannnis Xenarios; John R Yates; Henning Hermjakob
Journal:  Nat Biotechnol       Date:  2007-08       Impact factor: 54.908

Review 5.  A survey of computational methods and error rate estimation procedures for peptide and protein identification in shotgun proteomics.

Authors:  Alexey I Nesvizhskii
Journal:  J Proteomics       Date:  2010-09-08       Impact factor: 4.044

6.  The mzIdentML data standard for mass spectrometry-based proteomics results.

Authors:  Andrew R Jones; Martin Eisenacher; Gerhard Mayer; Oliver Kohlbacher; Jennifer Siepen; Simon J Hubbard; Julian N Selley; Brian C Searle; James Shofstahl; Sean L Seymour; Randall Julian; Pierre-Alain Binz; Eric W Deutsch; Henning Hermjakob; Florian Reisinger; Johannes Griss; Juan Antonio Vizcaíno; Matthew Chambers; Angel Pizarro; David Creasy
Journal:  Mol Cell Proteomics       Date:  2012-02-27       Impact factor: 5.911

Review 7.  Development of data representation standards by the human proteome organization proteomics standards initiative.

Authors:  Eric W Deutsch; Juan Pablo Albar; Pierre-Alain Binz; Martin Eisenacher; Andrew R Jones; Gerhard Mayer; Gilbert S Omenn; Sandra Orchard; Juan Antonio Vizcaíno; Henning Hermjakob
Journal:  J Am Med Inform Assoc       Date:  2015-02-28       Impact factor: 4.497

8.  Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach.

Authors:  Steven A Carr; Susan E Abbatiello; Bradley L Ackermann; Christoph Borchers; Bruno Domon; Eric W Deutsch; Russell P Grant; Andrew N Hoofnagle; Ruth Hüttenhain; John M Koomen; Daniel C Liebler; Tao Liu; Brendan MacLean; D R Mani; Elizabeth Mansfield; Hendrik Neubert; Amanda G Paulovich; Lukas Reiter; Olga Vitek; Ruedi Aebersold; Leigh Anderson; Robert Bethem; Josip Blonder; Emily Boja; Julianne Botelho; Michael Boyne; Ralph A Bradshaw; Alma L Burlingame; Daniel Chan; Hasmik Keshishian; Eric Kuhn; Christopher Kinsinger; Jerry S H Lee; Sang-Won Lee; Robert Moritz; Juan Oses-Prieto; Nader Rifai; James Ritchie; Henry Rodriguez; Pothur R Srinivas; R Reid Townsend; Jennifer Van Eyk; Gordon Whiteley; Arun Wiita; Susan Weintraub
Journal:  Mol Cell Proteomics       Date:  2014-01-17       Impact factor: 5.911

9.  The neXtProt knowledgebase on human proteins: current status.

Authors:  Pascale Gaudet; Pierre-André Michel; Monique Zahn-Zabal; Isabelle Cusin; Paula D Duek; Olivier Evalet; Alain Gateau; Anne Gleizes; Mario Pereira; Daniel Teixeira; Ying Zhang; Lydie Lane; Amos Bairoch
Journal:  Nucleic Acids Res       Date:  2015-01       Impact factor: 16.971

10.  2016 update of the PRIDE database and its related tools.

Authors:  Juan Antonio Vizcaíno; Attila Csordas; Noemi del-Toro; José A Dianes; Johannes Griss; Ilias Lavidas; Gerhard Mayer; Yasset Perez-Riverol; Florian Reisinger; Tobias Ternent; Qing-Wei Xu; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2015-11-02       Impact factor: 16.971

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  55 in total

1.  A-to-I RNA Editing Contributes to Proteomic Diversity in Cancer.

Authors:  Xinxin Peng; Xiaoyan Xu; Yumeng Wang; David H Hawke; Shuangxing Yu; Leng Han; Zhicheng Zhou; Kamalika Mojumdar; Kang Jin Jeong; Marilyne Labrie; Yiu Huen Tsang; Minying Zhang; Yiling Lu; Patrick Hwu; Kenneth L Scott; Han Liang; Gordon B Mills
Journal:  Cancer Cell       Date:  2018-04-26       Impact factor: 31.743

2.  Flexible and Fast Mapping of Peptides to a Proteome with ProteoMapper.

Authors:  Luis Mendoza; Eric W Deutsch; Zhi Sun; David S Campbell; David D Shteynberg; Robert L Moritz
Journal:  J Proteome Res       Date:  2018-09-28       Impact factor: 4.466

Review 3.  Tools to define the melanoma-associated immunopeptidome.

Authors:  Eva Bräunlein; Angela M Krackhardt
Journal:  Immunology       Date:  2017-08-28       Impact factor: 7.397

Review 4.  Progress on Identifying and Characterizing the Human Proteome: 2018 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; Michael Snyder; Mark S Baker; Eric W Deutsch
Journal:  J Proteome Res       Date:  2018-08-23       Impact factor: 4.466

5.  Metrics for the Human Proteome Project 2016: Progress on Identifying and Characterizing the Human Proteome, Including Post-Translational Modifications.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Ronald C Beavis; Christopher M Overall; Eric W Deutsch
Journal:  J Proteome Res       Date:  2016-09-20       Impact factor: 4.466

6.  Tiered Human Integrated Sequence Search Databases for Shotgun Proteomics.

Authors:  Eric W Deutsch; Zhi Sun; David S Campbell; Pierre-Alain Binz; Terry Farrah; David Shteynberg; Luis Mendoza; Gilbert S Omenn; Robert L Moritz
Journal:  J Proteome Res       Date:  2016-09-12       Impact factor: 4.466

7.  Highlights of the Biology and Disease-driven Human Proteome Project, 2015-2016.

Authors:  Jennifer E Van Eyk; Fernando J Corrales; Ruedi Aebersold; Ferdinando Cerciello; Eric W Deutsch; Paola Roncada; Jean-Charles Sanchez; Tadashi Yamamoto; Pengyuan Yang; Hui Zhang; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2016-09-20       Impact factor: 4.466

8.  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

9.  Chromosome 17 Missing Proteins: Recent Progress and Future Directions as Part of the neXt-MP50 Challenge.

Authors:  Omer Siddiqui; Hongjiu Zhang; Yuanfang Guan; Gilbert S Omenn
Journal:  J Proteome Res       Date:  2018-10-23       Impact factor: 4.466

10.  Progress on the HUPO Draft Human Proteome: 2017 Metrics of the Human Proteome Project.

Authors:  Gilbert S Omenn; Lydie Lane; Emma K Lundberg; Christopher M Overall; Eric W Deutsch
Journal:  J Proteome Res       Date:  2017-10-09       Impact factor: 4.466

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