Literature DB >> 14761306

From the sequence to cell modeling: comprehensive functional genomics in Escherichia coli.

Hirotada Mori1.   

Abstract

As a result of the enormous amount of information that has been collected with E. coli over the past half century (e.g. genome sequence, mutant phenotypes, metabolic and regulatory networks, etc.), we now have detailed knowledge about gene regulation, protein activity, several hundred enzyme reactions, metabolic pathways, macromolecular machines, and regulatory interactions for this model organism. However, understanding how all these processes interact to form a living cell will require further characterization, quantification, data integration, and mathematical modeling, systems biology. No organism can rival E. coli with respect to the amount of available basic information and experimental tractability for the technologies needed for this undertaking. A focused, systematic effort to understand the E. coli cell will accelerate the development of new post-genomic technologies, including both experimental and computational tools. It will also lead to new technologies that will be applicable to other organisms, from microbes to plants, animals, and humans. E. coli is not only the best studied free-living model organism, but is also an extensively used microbe for industrial applications, especially for the production of small molecules of interest. It is an excellent representative of Gram-negative commensal bacteria. E. coli may represent a perfect model organism for systems biology that is aimed at elucidating both its free-living and commensal life-styles, which should open the door to whole-cell modeling and simulation.

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Year:  2004        PMID: 14761306     DOI: 10.5483/bmbrep.2004.37.1.083

Source DB:  PubMed          Journal:  J Biochem Mol Biol        ISSN: 1225-8687


  9 in total

1.  A hidden metabolic pathway exposed.

Authors:  Andrei Osterman
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-04       Impact factor: 11.205

2.  Towards a dynamical network view of brain ischemia and reperfusion. Part IV: additional considerations.

Authors:  Donald J Degracia
Journal:  J Exp Stroke Transl Med       Date:  2010-03-15

3.  Effect of an artificial RNA marker on gene expression in Escherichia coli.

Authors:  Don L Tucker; Fathi Karouia; Jim Wang; Yi Luo; Tong-Bin Li; Richard C Willson; Yuriy Fofanov; George E Fox
Journal:  Appl Environ Microbiol       Date:  2005-07       Impact factor: 4.792

4.  Prediction of beta-barrel membrane proteins by searching for restricted domains.

Authors:  Oliver Mirus; Enrico Schleiff
Journal:  BMC Bioinformatics       Date:  2005-10-14       Impact factor: 3.169

5.  Highly accurate genome sequences of Escherichia coli K-12 strains MG1655 and W3110.

Authors:  Koji Hayashi; Naoki Morooka; Yoshihiro Yamamoto; Katsutoshi Fujita; Katsumi Isono; Sunju Choi; Eiichi Ohtsubo; Tomoya Baba; Barry L Wanner; Hirotada Mori; Takashi Horiuchi
Journal:  Mol Syst Biol       Date:  2006-02-21       Impact factor: 11.429

6.  The Modular Organization of Protein Interactions in Escherichia coli.

Authors:  José M Peregrín-Alvarez; Xuejian Xiong; Chong Su; John Parkinson
Journal:  PLoS Comput Biol       Date:  2009-10-02       Impact factor: 4.475

7.  Characterization of Escherichia coli MG1655 grown in a low-shear modeled microgravity environment.

Authors:  Don L Tucker; C Mark Ott; Stephen Huff; Yuriy Fofanov; Duane L Pierson; Richard C Willson; George E Fox
Journal:  BMC Microbiol       Date:  2007-03-07       Impact factor: 3.605

8.  CoryneRegNet 4.0 - A reference database for corynebacterial gene regulatory networks.

Authors:  Jan Baumbach
Journal:  BMC Bioinformatics       Date:  2007-11-06       Impact factor: 3.169

Review 9.  Chemical genomics in yeast.

Authors:  Charles Brenner
Journal:  Genome Biol       Date:  2004-08-27       Impact factor: 13.583

  9 in total

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