Data-Independent Microbial Metabolomics with Ambient Ionization Mass Spectrometry View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2013-04-09

AUTHORS

Christopher M. Rath, Jane Y. Yang, Theodore Alexandrov, Pieter C. Dorrestein

ABSTRACT

Atmospheric ionization methods are ideally suited for prolonged MS/MS analysis. Data-independent MS/MS is a complementary technique for analysis of biological samples as compared to data-dependent analysis. Here, we pair data-independent MS/MS with the ambient ionization method nanospray desorption electrospray ionization (nanoDESI) for untargeted analysis of bacterial metabolites. Proof-of-principle data and analysis are illustrated by sampling Bacillus subtilis and Pseudomonas aeruginosa directly from Petri dishes. We found that this technique enables facile comparisons between strains via MS and MS/MS plots which can be translated to chemically informative molecular maps through MS/MS networking. The development of novel techniques to characterize microbial metabolites allows rapid and efficient analysis of metabolic exchange factors. This is motivated by our desire to develop novel techniques to explore the role of interspecies interactions in the environment, health, and disease. This is a contribution to honor Professor Catherine C. Fenselau in receiving the prestigious ASMS Award for a Distinguished Contribution in Mass Spectrometry for her pioneering work on microbial mass spectrometry.Figureᅟ More... »

PAGES

1167-1176

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s13361-013-0608-y

DOI

http://dx.doi.org/10.1007/s13361-013-0608-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1029163559

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23568029


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