Literature DB >> 17379776

Multiple high-throughput analyses monitor the response of E. coli to perturbations.

Nobuyoshi Ishii1, Kenji Nakahigashi, Tomoya Baba, Martin Robert, Tomoyoshi Soga, Akio Kanai, Takashi Hirasawa, Miki Naba, Kenta Hirai, Aminul Hoque, Pei Yee Ho, Yuji Kakazu, Kaori Sugawara, Saori Igarashi, Satoshi Harada, Takeshi Masuda, Naoyuki Sugiyama, Takashi Togashi, Miki Hasegawa, Yuki Takai, Katsuyuki Yugi, Kazuharu Arakawa, Nayuta Iwata, Yoshihiro Toya, Yoichi Nakayama, Takaaki Nishioka, Kazuyuki Shimizu, Hirotada Mori, Masaru Tomita.   

Abstract

Analysis of cellular components at multiple levels of biological information can provide valuable functional insights. We performed multiple high-throughput measurements to study the response of Escherichia coli cells to genetic and environmental perturbations. Analysis of metabolic enzyme gene disruptants revealed unexpectedly small changes in messenger RNA and proteins for most disruptants. Overall, metabolite levels were also stable, reflecting the rerouting of fluxes in the metabolic network. In contrast, E. coli actively regulated enzyme levels to maintain a stable metabolic state in response to changes in growth rate. E. coli thus seems to use complementary strategies that result in a metabolic network robust against perturbations.

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Year:  2007        PMID: 17379776     DOI: 10.1126/science.1132067

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  230 in total

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Journal:  J Biol Chem       Date:  2011-11-08       Impact factor: 5.157

Review 2.  Integration of metabolic reactions and gene regulation.

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Journal:  Mol Biotechnol       Date:  2011-01       Impact factor: 2.695

3.  The renaissance of continuous culture in the post-genomics age.

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4.  A systematic survey of in vivo obligate chaperonin-dependent substrates.

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5.  Mass action stoichiometric simulation models: incorporating kinetics and regulation into stoichiometric models.

Authors:  Neema Jamshidi; Bernhard Ø Palsson
Journal:  Biophys J       Date:  2010-01-20       Impact factor: 4.033

Review 6.  Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook.

Authors:  Christopher P Long; Maciek R Antoniewicz
Journal:  Curr Opin Biotechnol       Date:  2014-03-28       Impact factor: 9.740

Review 7.  Metabolomics and Isotope Tracing.

Authors:  Cholsoon Jang; Li Chen; Joshua D Rabinowitz
Journal:  Cell       Date:  2018-05-03       Impact factor: 41.582

Review 8.  The future of whole-cell modeling.

Authors:  Derek N Macklin; Nicholas A Ruggero; Markus W Covert
Journal:  Curr Opin Biotechnol       Date:  2014-02-17       Impact factor: 9.740

9.  Multi-omics Quantification of Species Variation of Escherichia coli Links Molecular Features with Strain Phenotypes.

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Journal:  Cell Syst       Date:  2016-09-22       Impact factor: 10.304

Review 10.  The functional basis of adaptive evolution in chemostats.

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Journal:  FEMS Microbiol Rev       Date:  2014-12-04       Impact factor: 16.408

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