PuSH - Publikationsserver des Helmholtz Zentrums München

Witting, M. ; Lucio, M. ; Tziotis, D. ; Wägele, B. ; Suhre, K. ; Voulhoux, R.* ; Garvis, S.* ; Schmitt-Kopplin, P.

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

Anal. Bioanal. Chem. 407, 1059-1073 (2015)
Open Access Green möglich sobald Postprint bei der ZB eingereicht worden ist.
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.
Weitere Metriken?
Zusatzinfos bearbeiten [➜Einloggen]
Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Caenorhabditis Elegans ; Di-icr-ft–ms ; High-throughput Deep Metabotyping ; Infection Models ; Metabolomics; Resonance Mass-spectrometry; Profiles; Metabolome; Population; Accuracy; Genetics; Range
ISSN (print) / ISBN 1618-2642
e-ISSN 1618-2650
Quellenangaben Band: 407, Heft: 4, Seiten: 1059-1073 Artikelnummer: , Supplement: ,
Verlag Springer
Verlagsort Heidelberg
Begutachtungsstatus Peer reviewed