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MetaBridge: An Integrative Multi-Omics Tool for Metabolite-Enzyme Mapping
Travis Blimkie1, Amy Huei-Yi Lee1,2, Robert E W Hancock1
1Center for Microbial Disease and Research, Department of Microbiology and Immunology, University of British Columbia, Vancouver, BC, Canada.
Current Protocols in Bioinformatics
|March 22, 2020
Summary
MetaBridge is a user-friendly tool that integrates metabolomics with other omics data, like transcriptomics and proteomics. It maps metabolites to enzymes, enabling comprehensive multi-omics analyses through protein-protein interaction networks.
Area of Science:
- Bioinformatics
- Computational Biology
- Systems Biology
Background:
- Integrating diverse omics datasets (metabolomics, transcriptomics, proteomics) is crucial for a holistic understanding of biological systems.
- Existing tools often lack intuitive interfaces or comprehensive pathway mapping capabilities.
Purpose of the Study:
- To introduce MetaBridge, a web-based tool for seamless integration of metabolomics data with transcriptomics and proteomics.
- To provide a user-friendly platform for multi-omics analysis, accessible to researchers with minimal computational expertise.
Main Methods:
- Utilizing MetaCyc and Kyoto Encyclopedia of Genes and Genomes (KEGG) databases for metabolite-to-enzyme mapping.
- Mapping metabolite compounds to interacting enzymes within metabolic pathways.
- Integrating mapped enzymes with protein-protein interaction networks for multi-omics analysis.
Main Results:
- Successful mapping of metabolite data using both MetaCyc and KEGG identifiers.
- Generation of enzyme lists for integration with other omics data.
- Facilitation of protein-protein interaction network construction from mapped genes.
Conclusions:
- MetaBridge simplifies multi-omics data integration, enhancing biological pathway and network analysis.
- The tool empowers researchers to conduct complex integrative analyses without extensive computational background.
- MetaBridge supports the advancement of systems biology research through accessible data integration.
