4.7 Review

Identification of bioactive metabolites using activity metabolomics

Journal

NATURE REVIEWS MOLECULAR CELL BIOLOGY
Volume 20, Issue 6, Pages 353-367

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/s41580-019-0108-4

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Funding

  1. Deutsche Forschungsgemeinschaft [DFG-Ri2811/1-1, Ri2811/1-2]
  2. Ecosystems and Networks Integrated with Genes and Molecular Assemblies (ENIGMA), a Scientific Focus Area Program at the Lawrence Berkeley National Laboratory for the US Department of Energy, Office of Science, Office of Biological and Environmental Researc [DE-AC02-05CH11231]
  3. US National Institutes of Health [R01 GM114368-03, P30 MH062261-17 P01 DA026146-02]
  4. NIH Cloud Credits Model Pilot, a component of the NIH Big Data to Knowledge (BD2K) program

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The metabolome, the collection of small-molecule chemical entities involved in metabolism, has traditionally been studied with the aim of identifying biomarkers in the diagnosis and prediction of disease. However, the value of metabolome analysis (metabolomics) has been redefined from a simple biomarker identification tool to a technology for the discovery of active drivers of biological processes. It is now clear that the metabolome affects cellular physiology through modulation of other 'omics' levels, including the genome, epigenome, transcriptome and proteome. In this Review, we focus on recent progress in using metabolomics to understand how the metabolome influences other omics and, by extension, to reveal the active role of metabolites in physiology and disease. This concept of utilizing metabolomics to perform activity screens to identify biologically active metabolites-which we term activity metabolomics-is already having a broad impact on biology.

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