The ProteomeXchange consortium at 10 years: 2023 update

Author:

Deutsch Eric W1,Bandeira Nuno234,Perez-Riverol Yasset5ORCID,Sharma Vagisha6,Carver Jeremy J234,Mendoza Luis1,Kundu Deepti J5,Wang Shengbo5,Bandla Chakradhar5,Kamatchinathan Selvakumar5,Hewapathirana Suresh5,Pullman Benjamin S234,Wertz Julie234,Sun Zhi1,Kawano Shin789,Okuda Shujiro10ORCID,Watanabe Yu10,MacLean Brendan6,MacCoss Michael J6,Zhu Yunping11ORCID,Ishihama Yasushi12,Vizcaíno Juan Antonio5ORCID

Affiliation:

1. Institute for Systems Biology , Seattle WA 98109 , USA

2. Center for Computational Mass Spectrometry, University of California , San Diego (UCSD), La Jolla , CA 92093 , USA

3. Dept. Computer Science and Engineering, University of California , San Diego (UCSD), La Jolla , CA 92093 , USA

4. Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California , San Diego (UCSD), La Jolla , CA 92093 , USA

5. European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI) , Wellcome Trust Genome Campus, Hinxton, Cambridge , CB10 1SD, UK

6. University of Washington , Seattle, WA 98195 , USA

7. Faculty of Contemporary Society, Toyama University of International Studies , Toyama 930-1292 , Japan

8. Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research, Research Organization of Information and Systems , Chiba 277-0871 , Japan

9. School of Frontier Engineering, Kitasato University , Sagamihara 252-0373, Japan

10. Niigata University Graduate School of Medical and Dental Sciences , Niigata 951-8510 , Japan

11. Beijing Proteome Research Center, National Center for Protein Sciences, Beijing Institute of Lifeomics , Beijing 102206 , China

12. Graduate School of Pharmaceutical Sciences, Kyoto University , Kyoto 606-8501 , Japan

Abstract

Abstract Mass spectrometry (MS) is by far the most used experimental approach in high-throughput proteomics. The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) was originally set up to standardize data submission and dissemination of public MS proteomics data. It is now 10 years since the initial data workflow was implemented. In this manuscript, we describe the main developments in PX since the previous update manuscript in Nucleic Acids Research was published in 2020. The six members of the Consortium are PRIDE, PeptideAtlas (including PASSEL), MassIVE, jPOST, iProX and Panorama Public. We report the current data submission statistics, showcasing that the number of datasets submitted to PX resources has continued to increase every year. As of June 2022, more than 34 233 datasets had been submitted to PX resources, and from those, 20 062 (58.6%) just in the last three years. We also report the development of the Universal Spectrum Identifiers and the improvements in capturing the experimental metadata annotations. In parallel, we highlight that data re-use activities of public datasets continue to increase, enabling connections between PX resources and other popular bioinformatics resources, novel research and also new data resources. Finally, we summarise the current state-of-the-art in data management practices for sensitive human (clinical) proteomics data.

Funder

EMBL

Wellcome

BBSRC

National Institutes of Health

European Commission H2020 program

Open Targets

Luxembourg National Research Fund

National Science Foundation

National Bioscience Database Center

JST

Chinese National Infrastructure for Protein Science

National Key Research and Development Program

University of Washington's Proteomics Resource

Publisher

Oxford University Press (OUP)

Subject

Genetics

Reference62 articles.

1. ProteomeXchange provides globally coordinated proteomics data submission and dissemination;Vizcaino;Nat. Biotechnol.,2014

2. The proteomexchange consortium in 2017: supporting the cultural change in proteomics public data deposition;Deutsch;Nucleic Acids Res.,2017

3. The proteomexchange consortium in 2020: enabling ‘big data’ approaches in proteomics;Deutsch;Nucleic Acids Res.,2020

4. The FAIR guiding principles for scientific data management and stewardship;Wilkinson;Sci. Data,2016

5. The PRIDE database resources in 2022: a hub for mass spectrometry-based proteomics evidences;Perez-Riverol;Nucleic Acids Res.,2022

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