Global proteomics mass spectrometry data sharing infrastructure

全球蛋白质组质谱数据共享基础设施

• 批准号: 10556184
• 负责人: Nuno Bandeira
• 金额: $ 73.1万
• 依托单位: UNIVERSITY OF CALIFORNIA, SAN DIEGO
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-05-19 至 2028-04-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10556184
• 关键词: Acceleration; Address; Adopted; Affect; Aging; Authorization documentation; Biological; Certification; Clinical; Communities; Data; Data Files; Data Reporting; Data Science; Data Set; Deposition; Detection; Disease; Ensure; Experimental Designs; FAIR principles; Funding Agency; Generations; Goals; Health Insurance Portability and Accountability Act; Human; Infrastructure; Internet; Journals; Mass Spectrum Analysis; Measures; Metadata; Modernization; Paper; Peptides; Policies; Post-Translational Protein Processing; Procedures; Process; Protein Isoforms; Proteins; Proteome; Proteomics; Publishing; Reporting; Research Personnel; Resources; Risk; Sampling; Secure; Security; Staging; Standardization; Stress; Structure; System; Technology; Testing; Variant; authority; data access; data handling; data infrastructure; data portal; data repository; data sharing; data submission; design; differential expression; expectation; file format; human data; human subject; improved; indexing; instrumentation; member; open data; protein complex; repository; shared repository; technology development; therapeutic development; treatment response; web services

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.

全球蛋白质组学质谱数据共享基础设施-项目摘要