Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

Eric W Deutsch; Lydie Lane; Christopher M Overall; Nuno Bandeira; Mark D. Baker; Charles Pineau; Robert L Moritz; Fernando Corrales; Sandra Orchard; Jennifer E van Eyk; Young-Ki Paik; Susan T Weintraub; Yves Vandenbrouck; Gilbert S Omenn

doi:10.1021/acs.jproteome.9b00542

Journal articles

Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

Eric W Deutsch ^{1, *} Lydie Lane ² Christopher M Overall ³ Nuno Bandeira ⁴ Mark D. Baker ⁵ Charles Pineau ^{6, 7} Robert L Moritz ¹ Fernando Corrales ⁸ Sandra Orchard ⁹ Jennifer E van Eyk ¹⁰ Young-Ki Paik ¹¹ Susan T Weintraub ¹² Yves Vandenbrouck ¹³ Gilbert S Omenn ^{1, 14}

* Corresponding author

1 ISB - Institute for Systems Biology [Seattle]

2 University of Geneva [Switzerland]

3 UBC - University of British Columbia

4 UC San Diego - University of California [San Diego]

5 Macquarie University

6 Irset - Institut de recherche en santé, environnement et travail

7 EHESP - École des Hautes Études en Santé Publique [EHESP]

8 CSIC - Consejo Superior de Investigaciones Científicas [Madrid]

9 Wellcome Trust

10 Cedars-Sinai Medical Center

11 Yonsei University

12 UTSA - The University of Texas at San Antonio

13 EDyP - Etude de la dynamique des protéomes

BGE - UMR S1038 - Laboratoire de Biologie à Grande Échelle

14 University of Michigan [Ann Arbor]

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.

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

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Journal articles

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Life Sciences [q-bio]

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Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

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