Identification of bioactive metabolites using activity metabolomics

Rinschen, Markus M.; Ivanisevic, Julijana; Giera, Martin; Siuzdak, Gary

doi:10.1038/s41580-019-0108-4

Identification of bioactive metabolites using activity metabolomics

Journal Article · Wed Feb 27 00:00:00 EST 2019 · Nature Reviews Molecular Cell Biology

DOI:https://doi.org/10.1038/s41580-019-0108-4· OSTI ID:2483283

Rinschen, Markus M. ^[1]; ^[2]; ^[3]; ^[1]

The Scripps Research Institute, La Jolla, CA (United States)
University of Lausanne (Switzerland)
Leiden University Medical Center (The Netherlands)

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. Furthermore, 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.

View Accepted Manuscript (DOE)

Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: US National Institutes of Health; USDOE Office of Science (SC), Biological and Environmental Research (BER). Biological Systems Science (BSS)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 2483283

Journal Information:: Nature Reviews Molecular Cell Biology, Journal Name: Nature Reviews Molecular Cell Biology Journal Issue: 6 Vol. 20; ISSN 1471-0072

Publisher:: Nature PortfolioCopyright Statement

Country of Publication:: United States

Language:: English

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Additional file 10 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246647.v1	image	January 2020
Additional file 1 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246650.v1	dataset	January 2020
Additional file 2 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246659.v1	dataset	January 2020
Additional file 3 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246665	dataset	January 2020
Additional file 4 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246677.v1	image	January 2020
Additional file 5 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246683.v1	image	January 2020
Additional file 6 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246692.v1	image	January 2020
Additional file 7 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246698.v1	image	January 2020
Additional file 8 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246707	image	January 2020
Additional file 9 of The metabolome as a link in the genotype-phenotype map for peroxide resistance in the fruit fly, Drosophila melanogaster Harrison, Benjamin R.; Wang, Lu; Gajda, Erika figshare https://doi.org/10.6084/m9.figshare.12246713	image	January 2020
Additional file 2 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381770	dataset	January 2022
Additional file 3 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381773	dataset	January 2022
Additional file 4 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381776.v1	dataset	January 2022
Additional file 5 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381779.v1	dataset	January 2022
Additional file 6 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381782.v1	dataset	January 2022
Additional file 7 of Correlation analysis of serum reproductive hormones and metabolites during multiple ovulation in sheep Xu, Quanzhong; Wang, Chunwei; Wang, Lequn figshare https://doi.org/10.6084/m9.figshare.20381785.v1	dataset	January 2022
Additional file 2 of Integrative analysis of plasma metabolomics and proteomics reveals the metabolic landscape of breast cancer An, Rui; Yu, Haitao; Wang, Yanzhong figshare https://doi.org/10.6084/m9.figshare.20508668	dataset	January 2022
Additional file 1 of Polyamine metabolism patterns characterized tumor microenvironment, prognosis, and response to immunotherapy in colorectal cancer Zhang, Enkui; Ding, Chengsheng; Li, Shuchun figshare https://doi.org/10.6084/m9.figshare.22949328	dataset	January 2023
Additional file 2 of Polyamine metabolism patterns characterized tumor microenvironment, prognosis, and response to immunotherapy in colorectal cancer Zhang, Enkui; Ding, Chengsheng; Li, Shuchun figshare https://doi.org/10.6084/m9.figshare.22949331	dataset	January 2023
Additional file 1 of BRD4 facilitates osteogenic differentiation of human bone marrow mesenchymal stem cells through WNT4/NF-κB pathway Ning, Tao; Guo, Huihui; Ma, Mingming figshare https://doi.org/10.6084/m9.figshare.24587547.v1	image	January 2023

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