E. coli metabolomics: Capturing the complexity of a "simple" model

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)

Abstract

As the workhorse of early studies on metabolism, the metabolic pathways of E. coli are arguably the best characterized. The richness of information available about its pathways is broader than for any other model. However, in spite of decades of descriptive work, only recently can a significant number of E. coli metabolic network constituents be analyzed simultaneously. The advent of metabolomic methods that allow to capture qualitative as well as quantitative information about the intracellular and extracellular metabolite profiles is starting to shed light on the remaining complexity of this simpler model. Here we describe important findings about the physiology of E. coli resulting from emerging metabolomic studies. While a vast number of intracellular metabolites in E. coli still remain to be characterized, the information obtained from those studies can provide an unprecedented amount of information about metabolic pathways including their functional elucidation, enzyme activity, metabolic fluxes, network robustness, or even the discovery of completely novel reactions or pathways. These results are also being used to populate rich databases and to develop computational models of E. coli metabolism that have already proven effective to predict cellular states and will shed light on complex and until now still elusive regulatory principles.

Original languageEnglish
Title of host publicationMetabolomics
Subtitle of host publicationA Powerful Tool in Systems Biology
EditorsJens Nielsen, Michael Jewett
Pages189-234
Number of pages46
DOIs
Publication statusPublished - 2007 Sep 27

Publication series

NameTopics in Current Genetics
Volume18
ISSN (Print)1610-2096
ISSN (Electronic)1610-6970

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics
  • Developmental Biology
  • Cell Biology

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    Robert, M., Soga, T., & Tomita, M. (2007). E. coli metabolomics: Capturing the complexity of a "simple" model. In J. Nielsen, & M. Jewett (Eds.), Metabolomics: A Powerful Tool in Systems Biology (pp. 189-234). (Topics in Current Genetics; Vol. 18). https://doi.org/10.1007/4735_2007_0221