ProteomeXchange
Global Biodata Coalition
The Global Biodata Coalition works for and with research funders to ensure sustained support for biodata resources.
What kind of data does this resource provide?
The ProteomeXchange Consortium is a collaborative effort that provides a global, coordinated submission and dissemination of mass spectrometry-based proteomics data to multiple databases, enabling easy data sharing and access across six different proteomics repositories located across three continents. These are PRIDE (Europe), MassIVE, Panorama Public and PeptideAtlas/PASSEL (all USA), jPOST(Japan) and iProX (China).
Give me an example of the impact of this resource
Data from ProteomeXchange has been reused in hundreds of studies, contributing to the development of artificial intelligence approaches and to improvements in proteomics data analysis workflows, meta-analyses involving proteomes from many different organisms, genome annotation projects and other applications. Staff across the ProteomeXchange network have led the development of open standards under the umbrella of the Human Proteome Organisation (HUPO) Proteomics Standards Initiative (PSI), such as mzML and the Universal Spectrum Identifiers for mass spectrometry data. ProteomeXchange teams have also played a leading role in the development of open source software to handle and visualise the data standards, such as jmzML and the PRIDE Inspector tool.
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Hundreds of human datasets submitted to ProteomeXchange resources have been consistently reanalysed to contribute to the efforts of the Human Proteome Project (HPP) of HUPO.? The HPP aims to characterise at least one protein species (or ‘proteoform’) coming from the 19,823 predicted protein-coding genes in the human genome, creating a map of the protein based molecular architecture of the human body and a resource to help elucidate biological and molecular function, as well as the advance of diagnosis and treatment of diseases. The project started in 2010, and in its latest iteration (2023), experimental evidence has been found for around 93% of all predicted human proteins.
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