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Database Profile

ProteomeXchange

General information

URL: http://www.proteomexchange.org/
Full name: ProteomeXchange
Description: ProteomeXchange is devoted to mass spectrometry (MS)-based proteomics data
Year founded: 2006
Last update: 2025-6-22
Version:
Accessibility:
Accessible
Country/Region: United Kingdom

Contact information

University/Institution: European Bioinformatics Institute
Address: Wellcome Trust Genome Campus, Hinxton, Cambridge, CB10 1SD
City: Hinxton
Province/State: Cambridge
Country/Region: United Kingdom
Contact name (PI/Team): Juan Antonio Vizcaíno
Contact email (PI/Helpdesk): juan@ebi.ac.uk

Publications

36370099
The ProteomeXchange consortium at 10 years: 2023 update. [PMID: 36370099]
Deutsch EW, Bandeira N, Perez-Riverol Y, Sharma V, Carver JJ, Mendoza L, Kundu DJ, Wang S, Bandla C, Kamatchinathan S, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA.

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.

Nucleic Acids Res. 2023:51(D1) | 507 Citations (from Europe PMC, 2025-12-13)
31686107
The ProteomeXchange consortium in 2020: enabling 'big data' approaches in proteomics. [PMID: 31686107]
Deutsch EW, Bandeira N, Sharma V, Perez-Riverol Y, Carver JJ, Kundu DJ, García-Seisdedos D, Jarnuczak AF, Hewapathirana S, Pullman BS, Wertz J, Sun Z, Kawano S, Okuda S, Watanabe Y, Hermjakob H, MacLean B, MacCoss MJ, Zhu Y, Ishihama Y, Vizcaíno JA.

The ProteomeXchange (PX) consortium of proteomics resources (http://www.proteomexchange.org) has standardized data submission and dissemination of mass spectrometry proteomics data worldwide since 2012. In this paper, we describe the main developments since the previous update manuscript was published in Nucleic Acids Research in 2017. Since then, in addition to the four PX existing members at the time (PRIDE, PeptideAtlas including the PASSEL resource, MassIVE and jPOST), two new resources have joined PX: iProX (China) and Panorama Public (USA). We first describe the updated submission guidelines, now expanded to include six members. Next, with current data submission statistics, we demonstrate that the proteomics field is now actively embracing public open data policies. At the end of June 2019, more than 14 100 datasets had been submitted to PX resources since 2012, and from those, more than 9 500 in just the last three years. In parallel, an unprecedented increase of data re-use activities in the field, including 'big data' approaches, is enabling novel research and new data resources. At last, we also outline some of our future plans for the coming years.

Nucleic Acids Res. 2020:48(D1) | 579 Citations (from Europe PMC, 2025-12-13)
27924013
The ProteomeXchange consortium in 2017: supporting the cultural change in proteomics public data deposition. [PMID: 27924013]
Deutsch EW, Csordas A, Sun Z, Jarnuczak A, Perez-Riverol Y, Ternent T, Campbell DS, Bernal-Llinares M, Okuda S, Kawano S, Moritz RL, Carver JJ, Wang M, Ishihama Y, Bandeira N, Hermjakob H, Vizcaíno JA.

The ProteomeXchange (PX) Consortium of proteomics resources (http://www.proteomexchange.org) was formally started in 2011 to standardize data submission and dissemination of mass spectrometry proteomics data worldwide. We give an overview of the current consortium activities and describe the advances of the past few years. Augmenting the PX founding members (PRIDE and PeptideAtlas, including the PASSEL resource), two new members have joined the consortium: MassIVE and jPOST. ProteomeCentral remains as the common data access portal, providing the ability to search for data sets in all participating PX resources, now with enhanced data visualization components.We describe the updated submission guidelines, now expanded to include four members instead of two. As demonstrated by data submission statistics, PX is supporting a change in culture of the proteomics field: public data sharing is now an accepted standard, supported by requirements for journal submissions resulting in public data release becoming the norm. More than 4500 data sets have been submitted to the various PX resources since 2012. Human is the most represented species with approximately half of the data sets, followed by some of the main model organisms and a growing list of more than 900 diverse species. Data reprocessing activities are becoming more prominent, with both MassIVE and PeptideAtlas releasing the results of reprocessed data sets. Finally, we outline the upcoming advances for ProteomeXchange. © The Author(s) 2016. Published by Oxford University Press on behalf of Nucleic Acids Research.

Nucleic Acids Res. 2017:45(D1) | 686 Citations (from Europe PMC, 2025-12-13)
24727771
ProteomeXchange provides globally coordinated proteomics data submission and dissemination. [PMID: 24727771]
Vizcaíno JA, Deutsch EW, Wang R, Csordas A, Reisinger F, Ríos D, Dianes JA, Sun Z, Farrah T, Bandeira N, Binz PA, Xenarios I, Eisenacher M, Mayer G, Gatto L, Campos A, Chalkley RJ, Kraus HJ, Albar JP, Martinez-Bartolomé S, Apweiler R, Omenn GS, Martens L, Jones AR, Hermjakob H.
Nat Biotechnol. 2014:32(3) | 2193 Citations (from Europe PMC, 2025-12-13)
25047258
How to submit MS proteomics data to ProteomeXchange via the PRIDE database. [PMID: 25047258]
Ternent T, Csordas A, Qi D, Gómez-Baena G, Beynon RJ, Jones AR, Hermjakob H, Vizcaíno JA.

The ProteomeXchange (PX) consortium has been established to standardize and facilitate submission and dissemination of MS-based proteomics data in the public domain. In the consortium, the PRIDE database at the European Bioinformatics Institute, acts as the initial submission point of MS/MS data sets. In this manuscript, we explain step by step the submission process of MS/MS data sets to PX via PRIDE. We describe in detail the two available workflows: 'complete' and 'partial' submissions, together with the available tools to streamline the process. Throughout the manuscript, we will use one example data set containing identification and quantification data, which has been deposited in PRIDE/ProteomeXchange with the accession number PXD000764 (http://proteomecentral.proteomexchange.org/dataset/PXD000764).

Proteomics. 2014:14(20) | 42 Citations (from Europe PMC, 2025-12-13)
16445344
The Proteomics Identifications Database (PRIDE) and the ProteomExchange Consortium: making proteomics data accessible. [PMID: 16445344]
Hermjakob H, Apweiler R.
Expert Rev Proteomics. 2006:3(1) | 69 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
89/6895 (98.724%)
Raw bio-data:
10/582 (98.454%)
89
Total Rank
3,834
Citations
201.789
z-index

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Record metadata

Created on: 2017-02-20
Curated by:
Lina Ma [2025-06-23]
Yuxin Qin [2022-04-18]
[2018-11-30]
huma shireen [2018-09-04]
Lina Ma [2018-06-08]
Lina Ma [2017-08-02]
Lina Ma [2017-06-14]
Shixiang Sun [2017-02-20]