Article ; Online: Comparative metabolomics with Metaboseek reveals functions of a conserved fat metabolism pathway in C. elegans.
2022 Volume 13, Issue 1, Page(s) 782
Abstract: Untargeted metabolomics via high-resolution mass spectrometry can reveal more than 100,000 molecular features in a single sample, many of which may represent unidentified metabolites, posing significant challenges to data analysis. We here introduce ... ...
Abstract | Untargeted metabolomics via high-resolution mass spectrometry can reveal more than 100,000 molecular features in a single sample, many of which may represent unidentified metabolites, posing significant challenges to data analysis. We here introduce Metaboseek, an open-source analysis platform designed for untargeted comparative metabolomics and demonstrate its utility by uncovering biosynthetic functions of a conserved fat metabolism pathway, α-oxidation, using C. elegans as a model. Metaboseek integrates modules for molecular feature detection, statistics, molecular formula prediction, and fragmentation analysis, which uncovers more than 200 previously uncharacterized α-oxidation-dependent metabolites in an untargeted comparison of wildtype and α-oxidation-defective hacl-1 mutants. The identified metabolites support the predicted enzymatic function of HACL-1 and reveal that α-oxidation participates in metabolism of endogenous β-methyl-branched fatty acids and food-derived cyclopropane lipids. Our results showcase compound discovery and feature annotation at scale via untargeted comparative metabolomics applied to a conserved primary metabolic pathway and suggest a model for the metabolism of cyclopropane lipids. |
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MeSH term(s) | Animals ; Caenorhabditis elegans/genetics ; Caenorhabditis elegans/metabolism ; Carbon-Carbon Lyases/genetics ; Carbon-Carbon Lyases/metabolism ; Fatty Acids/genetics ; Fatty Acids/metabolism ; Humans ; Larva ; Lipid Metabolism/genetics ; Mass Spectrometry ; Metabolic Networks and Pathways/genetics ; Metabolome ; Metabolomics/methods ; Oxidation-Reduction |
Chemical Substances | Fatty Acids ; Carbon-Carbon Lyases (EC 4.1.-) |
Language | English |
Publishing date | 2022-02-10 |
Publishing country | England |
Document type | Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't |
ZDB-ID | 2553671-0 |
ISSN | 2041-1723 ; 2041-1723 |
ISSN (online) | 2041-1723 |
ISSN | 2041-1723 |
DOI | 10.1038/s41467-022-28391-9 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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