Metabolomics and lipidomics in Caenorhabditis elegans using a single-sample preparation.
Marte MolenaarsBauke V SchomakersHyung L ElfrinkArwen W GaoMartin A T VervaartMia L Pras-RavesAngela C LuyfReuben L SmithMark G SterkenJan E KammengaAntoine H C van KampenGeorges E JanssensFrederic M VazMichel van WeeghelRiekelt H L HoutkooperPublished in: Disease models & mechanisms (2021)
Comprehensive metabolomic and lipidomic mass spectrometry methods are in increasing demand; for instance, in research related to nutrition and aging. The nematode Caenorhabditis elegans is a key model organism in these fields, owing to the large repository of available C. elegans mutants and their convenient natural lifespan. Here, we describe a robust and sensitive analytical method for the semi-quantitative analysis of >100 polar (metabolomics) and >1000 apolar (lipidomics) metabolites in C. elegans, using a single-sample preparation. Our method is capable of reliably detecting a wide variety of biologically relevant metabolic aberrations in, for example, glycolysis and the tricarboxylic acid cycle, pyrimidine metabolism and complex lipid biosynthesis. In conclusion, we provide a powerful analytical tool that maximizes metabolic data yield from a single sample. This article has an associated First Person interview with the joint first authors of the paper.
Keyphrases
- mass spectrometry
- liquid chromatography
- high resolution
- high performance liquid chromatography
- gas chromatography
- molecularly imprinted
- physical activity
- capillary electrophoresis
- tandem mass spectrometry
- ms ms
- copy number
- big data
- deep learning
- solid phase extraction
- machine learning
- fatty acid
- ionic liquid
- simultaneous determination
- dna methylation
- data analysis