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 publicationTopics in Current Genetics
Pages189-234
Number of pages46
Volume18
DOIs
Publication statusPublished - 2007

Publication series

NameTopics in Current Genetics
Volume18
ISSN (Print)16102096
ISSN (Electronic)16106970

Fingerprint

Metabolomics
Metabolic Networks and Pathways
Escherichia coli
Databases
Enzymes

ASJC Scopus subject areas

  • Genetics
  • Cell Biology
  • Molecular Biology
  • Developmental Biology

Cite this

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

E. coli metabolomics : Capturing the complexity of a "simple" model. / Robert, Martin; Soga, Tomoyoshi; Tomita, Masaru.

Topics in Current Genetics. Vol. 18 2007. p. 189-234 (Topics in Current Genetics; Vol. 18).

Research output: Chapter in Book/Report/Conference proceedingChapter

Robert, M, Soga, T & Tomita, M 2007, E. coli metabolomics: Capturing the complexity of a "simple" model. in Topics in Current Genetics. vol. 18, Topics in Current Genetics, vol. 18, pp. 189-234. https://doi.org/10.1007/4735_2007_0221
Robert M, Soga T, Tomita M. E. coli metabolomics: Capturing the complexity of a "simple" model. In Topics in Current Genetics. Vol. 18. 2007. p. 189-234. (Topics in Current Genetics). https://doi.org/10.1007/4735_2007_0221
Robert, Martin ; Soga, Tomoyoshi ; Tomita, Masaru. / E. coli metabolomics : Capturing the complexity of a "simple" model. Topics in Current Genetics. Vol. 18 2007. pp. 189-234 (Topics in Current Genetics).
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