bioRxivBiochemistry
Comparative metabolomics with Metaboseek reveals functions of a conserved fat metabolism pathway in C. elegans
M. J. Helf, B. W. Fox, A. B. Artyukhin, Y. K. Zhang, F. C. Schroeder
Abstract
Untargeted metabolomics via high-resolution mass spectrometry (HRMS) 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, -oxidation, using C. elegans as a model. Metaboseek integrates modules for molecular feature detection, statistics, molecular formula prediction, and fragmentation (MS/MS) analysis, which uncovered more than 200 previously uncharacterized -oxidation-dependent metabolites in an untargeted comparison of wildtype and -oxidation-defective hacl-1 mutants. The identified metabolites support the predicted enzymatic function of HACL-1 and revealed that -oxidation participates in metabolism of endogenous {beta}-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.
- organism: C. elegans
- assay: metabolomics
- research focus: differential expression
- approach: deep learning
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