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Active OTHER RESEARCH-RELATED NIH (US)

Global proteomics mass spectrometry data sharing infrastructure

$7.02M USD

Funder NATIONAL INSTITUTE OF GENERAL MEDICAL SCIENCES
Recipient Organization University of California, San Diego
Country United States
Start Date May 19, 2023
End Date Apr 30, 2028
Duration 1,808 days
Number of Grantees 1
Roles Principal Investigator
Data Source NIH (US)
Grant ID 10844352
Grant Description

Global proteomics mass spectrometry data sharing infrastructure - Project Summary Technological developments and the increased pace of data generation in mass spectrometry (MS) now enable systematic probing of the human proteome, thus contributing to the characterization of biomolecular mechanisms required for the development of therapeutic responses to disease. Recognizing the scientific necessity of open

data to enable new discoveries and to establish the reliability of published results, the proteomics community embraced data sharing as a common practice. The authors of thousands of papers have already publicly re- leased the underlying MS data using the resources that we propose to support and extend: the MassIVE repos-

itory of mass spectrometry data and the ProteomeCentral data portal for the global ProteomeXchange consor- tium of MS data repositories. In this project, we propose to develop new proteomics MS data infrastructure, standards, workflows and data indexes to substantially advance FAIR (Findable, Accessible, Interoperable and

Reusable) access to proteomics MS datasets. First, we will develop new community standards for representation of dataset metadata and for the detailed description of proteomics identifications and abundances detected in available datasets, including peptides, proteins, isoforms and post-translational modifications. We will also ex-

tend workflows for dataset submission, processing and indexing to enable advanced queries by each dataset’s detected proteomics identifications. Second, we will create new infrastructure for researchers to share controlled access proteomics datasets from studies of human subjects where there may exist a significant risk of the data

being identifiable. Third, we will extend the ProteomeCentral data portal to support the new dataset structures, metadata and indexes allowing for the global integration of the new levels of information across all Proteo- meXchange repositories.

All Grantees

University of California, San Diego

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