代谢组学
生物
代谢组
代谢途径
环丙烷
脂质代谢
秀丽隐杆线虫
化学
新陈代谢
计算生物学
生物化学
脂肪酸代谢
细胞生物学
代谢物
模式生物
转录组
功能(生物学)
基因
过氧化物酶体
生物信息学
遗传学
有机化学
戒指(化学)
作者
Maximilian J. Helf,Bennett W. Fox,Alexander B. Artyukhin,Ying K. Zhang,Frank C. Schroeder
标识
DOI:10.1101/2021.09.07.459292
摘要
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, α-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 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 revealed 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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