DI-ICR-FT-MS-based high-throughput deep metabotyping: a case study of the Caenorhabditis elegans-Pseudomonas aeruginosa infection model

Michael Witting, Marianna Lucio, Dimitrios Tziotis, Brigitte Wägele, Karsten Suhre, Romé Voulhoux, Steve Garvis, Philippe Schmitt-Kopplin

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

Abstract In metabolomics there is an ever-growing need for faster and more comprehensive analysis methods to cope with the increasing size of biological studies. Direct-infusion ion-cyclotron-resonance Fourier-transform spectrometry (DI-ICR-FT-MS) is used in non-targeted metabolomics to obtain high-resolution snapshots of the metabolic state of a system. We applied this technology to a Caenorhabditis elegans-Pseudomonas aeruginosa infection model and optimized times needed for cultivation and mass-spectrometric analysis. Our results reveal that DI-ICR-FT-MS is a promising tool for high-throughput in-depth non-targeted metabolomics. We performed whole-worm metabolomics and recovered markers of the induced metabolic changes in C. elegans brought about by interaction with pathogens. In this investigation, we reveal complex metabolic phenotypes enabling clustering based upon challenge. Specifically, we observed a marked decrease in amino-acid metabolism with infection by P. aeruginosa and a marked increase in sugar metabolism with infection by Salmonella enterica. We were also able to discriminate between infection with a virulent wild-type Pseudomonas and with an attenuated mutant, making it possible to use this method in larger genetic screens to identify host and pathogen effectors affecting the metabolic phenotype of infection. [Figure not available: see fulltext.]

Original languageEnglish
Article number8331
Pages (from-to)1059-1073
Number of pages15
JournalAnalytical and Bioanalytical Chemistry
Volume407
Issue number4
DOIs
Publication statusPublished - 24 Jan 2015
Externally publishedYes

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Keywords

  • Caenorhabditis elegans
  • DI-ICR-FT-MS
  • High-throughput deep metabotyping
  • Infection models
  • Metabolomics

ASJC Scopus subject areas

  • Analytical Chemistry
  • Biochemistry

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