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Human Proteome Project Mass Spectrometry Data Interpretation Guidelines 3.0

Authors :
Nuno Bandeira
Yves Vandenbrouck
Fernando J. Corrales
Robert L. Moritz
Eric W. Deutsch
Christopher M. Overall
Charles Pineau
Jennifer E. Van Eyk
Gilbert S. Omenn
Mark S. Baker
Susan T. Weintraub
Sandra Orchard
Lydie Lane
Young Ki Paik
National Institutes of Health (US)
Iranian National Science Foundation
Canadian Institutes of Health Research
Ministry of Health and Welfare (South Korea)
Ministère de l’Enseignement supérieur et de la Recherche (France)
National Eye Institute (US)
National Human Genome Research Institute (US)
National Heart, Lung, and Blood Institute (US)
National Institute of Allergy and Infectious Diseases (US)
National Institute of Diabetes and Digestive and Kidney Diseases (US)
National Institute of General Medical Sciences (US)
National Institute of Mental Health (US)
Institute for Systems Biology [Seattle] (ISB)
Université de Genève = University of Geneva (UNIGE)
University of British Columbia (UBC)
University of California [San Diego] (UC San Diego)
University of California (UC)
Macquarie University
Institut de recherche en santé, environnement et travail (Irset)
Université d'Angers (UA)-Université de Rennes (UR)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
École des Hautes Études en Santé Publique [EHESP] (EHESP)
Consejo Superior de Investigaciones Científicas [Madrid] (CSIC)
Wellcome Trust
Cedars-Sinai Medical Center
Yonsei University
The University of Texas at San Antonio (UTSA)
Etude de la dynamique des protéomes (EDyP )
Laboratoire de Biologie à Grande Échelle (BGE - UMR S1038)
Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG)
Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Direction de Recherche Fondamentale (CEA) (DRF (CEA))
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut de Recherche Interdisciplinaire de Grenoble (IRIG)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)
University of Michigan [Ann Arbor]
University of Michigan System
R01GM087221, National Institute of General Medical Sciences
U54ES017885, National Institute of Environmental Health Sciences
National Institute of Mental Health
National Institute of Diabetes and Digestive and Kidney Diseases
National Institute of Allergy and Infectious Diseases
148408, Canadian Institutes of Health Research
DBI-1933311, Division of Biological Infrastructure
IOS-1922871, Division of Integrative Organismal Systems
HI13C2098, Ministry of Health and Welfare
ANR-10-INBS-08, Agence Nationale de la Recherche
National Eye Institute
R01LM013115, U.S. National Library of Medicine
U24CA210967, National Cancer Institute
U54EB020406, National Institute of Biomedical Imaging and Bioengineering
R01HL133135, National Heart, Lung, and Blood Institute
U19AG02312, National Institute on Aging
ABI-1759980, National Science Foundation
U24HG007822, National Human Genome Research Institute
ANR-10-INBS-0008,ProFI,Infrastructure Française de Protéomique(2010)
University of Geneva [Switzerland]
University of California
Université d'Angers (UA)-Université de Rennes 1 (UR1)
Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-École des Hautes Études en Santé Publique [EHESP] (EHESP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )
Institut de Recherche Interdisciplinaire de Grenoble (IRIG)
Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])
Source :
Journal of Proteome Research, Journal of Proteome Research, 2019, 18 (12), pp.4108-4116. ⟨10.1021/acs.jproteome.9b00542⟩, Journal of Proteome Research, American Chemical Society, 2019, 18 (12), pp.4108-4116. ⟨10.1021/acs.jproteome.9b00542⟩, Journal of Proteome Research, Vol. 18, No 12 (2019) pp. 4108-4116
Publication Year :
2019
Publisher :
American Chemical Society (ACS), 2019.

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.<br />This work was funded in part by the National Institutes of Health grants R01GM087221 (EWD/RLM), R24GM127667 (EWD), U54EB020406 (EWD), R01HL133135 (RLM), U19AG02312 (RLM), U54ES017885 (GSO), U24CA210967-01 (GSO), R01LM013115 (NB) and P41GM103484 (NB); National Science Foundation grants ABI-1759980 (NB), DBI-1933311 (EWD), and IOS-1922871 (EWD); Canadian Institutes of Health Research 148408 (CMO); Korean Ministry of Health and Welfare HI13C2098 (YKP); French Ministry of Higher Education, Research and Innovation, ProFI project, ANR-10-INBS-08 (YV); also in part by the National Eye Institute (NEI), National Human Genome Research Institute (NHGRI), National Heart, Lung, and Blood Institute (NHLBI), National Institute of Allergy and Infectious Diseases (NIAID), National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), National Institute of General Medical Sciences (NIGMS), and National Institute of Mental Health (NIMH) of the National Institutes of Health under Award Number U24HG007822 (SO) (the content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health).

Details

ISSN :
15353907 and 15353893
Volume :
18
Database :
OpenAIRE
Journal :
Journal of Proteome Research
Accession number :
edsair.doi.dedup.....ae7f650039bde3f5010c2c07746704d0
Full Text :
https://doi.org/10.1021/acs.jproteome.9b00542