Abstract

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.

Highlights

  • Life sciences as a whole has a strong tradition of open data dissemination

  • PX resources store a significant number of data sets coming from other data workflows such as Data Independent Acquisition (DIA) approaches, top-down proteomics or MS imaging [14], with MassIVE already supporting ‘complete’ submissions for some DIA workflows, such as MSPLIT-DIA’s [15] analysis of SWATH-MS files

  • In the past few years, the PX consortium has established itself as a community-responsive set of reliable proteomics data repositories to enable data submission and dissemination of MS proteomics experiments

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Summary

Introduction

Life sciences as a whole has a strong tradition of open data dissemination. Prime examples of long-running and successful consortia to systematically collect, exchange and disseminate biomolecular data are the International Nucleotide Sequence Database Collaboration [1] for DNA sequence data, and the worldwide Protein Data Bank [2] for protein structure data. Proteomics data resources such as PRIDE [4]

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