Objective
Metabolomics is recognized as a crucial scientific domain, promising to advance our understanding of biology, physiology, and medicine. The emergence of high-resolution imaging mass spectrometry (HR imaging MS) opened doors to spatial profiling of hundreds of metabolites directly from tissue sections. However, clinical use of HR imaging MS is hampered by a lack of clinically-oriented bioinformatics tools for molecular interpretation of the complex and information-rich data produced. Our goal is to address this bottleneck. We will develop algorithms for high-throughput putative annotation of hundreds of metabolites, knowledge-based downstream analysis, and validation of biologically-relevant leads. We will create the METASPACE engine, an open online platform providing these tools integrated into validated workflows for clinical use. This engine will be evaluated in clinical case studies on metabolic phenotyping of tumor response to chemotherapy and polymicrobial infections in cystic fibrosis. This demonstration will raise awareness and build trust among potential end-users. METASPACE will create a research ecosystem for exploitation of spatial metabolomic data that benefits both academics and industry. An open-source approach will stimulate developments in this field and provide a sustainable platform capable of incorporating future bioinformatics. Our user-centred tools, linked to existing molecular databases, will enable researchers without mass spectrometry or bioinformatics experience to turn big and complex HR imaging MS data into molecular knowledge. A considerable outreach effort, alongside constant interaction with the clinical metabolomics community, will maximize impact and dissemination. By engaging and educating envisaged end-users, METASPACE will facilitate future clinical discoveries in studies that require untargeted metabolic profiling and imaging. Our project will drive innovation and create a novel bioinformatics research field centred in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteinsproteomics
- natural sciencesbiological sciencescell biology
- natural sciencescomputer and information sciencessoftwaresoftware development
- natural scienceschemical sciencesanalytical chemistrymass spectrometry
- natural sciencesbiological sciencesmolecular biology
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Programme(s)
Call for proposal
(opens in new window) H2020-PHC-2014-2015
See other projects for this callSub call
H2020-PHC-2014-two-stage
Funding Scheme
RIA - Research and Innovation actionCoordinator
69117 Heidelberg
Germany