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Staring into the void: demystifying microbial metabolomics.
Grim, Cynthia M; Luu, Gordon T; Sanchez, Laura M.
Afiliación
  • Grim CM; Department of Pharmaceutical Sciences, University of Ilinois at Chicago, 833 S Wood St, Chicago, IL 60612, USA.
  • Luu GT; Department of Pharmaceutical Sciences, University of Ilinois at Chicago, 833 S Wood St, Chicago, IL 60612, USA.
  • Sanchez LM; Department of Pharmaceutical Sciences, University of Ilinois at Chicago, 833 S Wood St, Chicago, IL 60612, USA.
FEMS Microbiol Lett ; 366(11)2019 06 01.
Article en En | MEDLINE | ID: mdl-31210257
ABSTRACT
Metabolites give us a window into the chemistry of microbes and are split into two subclasses primary and secondary. Primary metabolites are required for life whereas secondary metabolites have historically been classified as those appearing after exponential growth and are not necessarily needed for survival. Many microbial species are estimated to produce hundreds of metabolites and can be affected by differing nutrients. Using various analytical techniques, metabolites can be directly detected in order to elucidate their biological significance. Currently, a single experiment can produce anywhere from megabytes to terabytes of data. This big data has motivated scientists to develop informatics tools to help target specific metabolites or sets of metabolites. Broadly, it is imperative to identify clear biological questions before embarking on a study of metabolites (metabolomics). For instance, studying the effect of a transposon insertion on phenazine biosynthesis in Pseudomonas is a very different from asking what molecules are present in a specific banana-derived strain of Pseudomonas. This review is meant to serve as a primer for a 'choose your own adventure' approach for microbiologists with limited mass spectrometry expertise, with a strong focus on liquid chromatography mass spectrometry based workflows developed or optimized within the past five years.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolómica Tipo de estudio: Prognostic_studies Idioma: En Revista: FEMS Microbiol Lett Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Metabolómica Tipo de estudio: Prognostic_studies Idioma: En Revista: FEMS Microbiol Lett Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos