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

研究成果: Chapter

4 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルMetabolomics
ホスト出版物のサブタイトルA Powerful Tool in Systems Biology
編集者Jens Nielsen, Michael Jewett
ページ189-234
ページ数46
DOI
出版ステータスPublished - 2007

出版物シリーズ

名前Topics in Current Genetics
18
ISSN(印刷版)1610-2096
ISSN(電子版)1610-6970

ASJC Scopus subject areas

  • 分子生物学
  • 遺伝学
  • 発生生物学
  • 細胞生物学

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