Literature DB >> 15107854

Just-in-time transcription program in metabolic pathways.

Alon Zaslaver1, Avi E Mayo, Revital Rosenberg, Pnina Bashkin, Hila Sberro, Miri Tsalyuk, Michael G Surette, Uri Alon.   

Abstract

A primary goal of systems biology is to understand the design principles of the transcription networks that govern the timing of gene expression. Here we measured promoter activity for approximately 100 genes in parallel from living cells at a resolution of minutes and accuracy of 10%, based on GFP and Lux reporter libraries. Focusing on the amino-acid biosynthesis systems of Escherichia coli, we identified a previously unknown temporal expression program and expression hierarchy that matches the enzyme order in unbranched pathways. We identified two design principles: the closer the enzyme is to the beginning of the pathway, the shorter the response time of the activation of its promoter and the higher its maximal promoter activity. Mathematical analysis suggests that this 'just-in-time' (ref. 5) transcription program is optimal under constraints of rapidly reaching a production goal with minimal total enzyme production. Our findings suggest that metabolic regulation networks are designed to generate precision promoter timing and activity programs that can be understood using the engineering principles of production pipelines.

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Year:  2004        PMID: 15107854     DOI: 10.1038/ng1348

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  192 in total

1.  Optimality and thermodynamics determine the evolution of transcriptional regulatory networks.

Authors:  Marco Avila-Elchiver; Deepak Nagrath; Martin L Yarmush
Journal:  Mol Biosyst       Date:  2011-11-10

2.  Thin aggregative fimbriae and cellulose enhance long-term survival and persistence of Salmonella.

Authors:  A P White; D L Gibson; W Kim; W W Kay; M G Surette
Journal:  J Bacteriol       Date:  2006-05       Impact factor: 3.490

3.  Regulatory architecture determines optimal regulation of gene expression in metabolic pathways.

Authors:  Victor Chubukov; Ignacio A Zuleta; Hao Li
Journal:  Proc Natl Acad Sci U S A       Date:  2012-03-13       Impact factor: 11.205

4.  On the minimization of fluctuations in the response times of autoregulatory gene networks.

Authors:  Rajamanickam Murugan; Gabriel Kreiman
Journal:  Biophys J       Date:  2011-09-20       Impact factor: 4.033

5.  Compensation for differences in gene copy number among yeast ribosomal proteins is encoded within their promoters.

Authors:  Danny Zeevi; Eilon Sharon; Maya Lotan-Pompan; Yaniv Lubling; Zohar Shipony; Tali Raveh-Sadka; Leeat Keren; Michal Levo; Adina Weinberger; Eran Segal
Journal:  Genome Res       Date:  2011-10-18       Impact factor: 9.043

Review 6.  Integration of metabolic reactions and gene regulation.

Authors:  Chen-Hsiang Yeang
Journal:  Mol Biotechnol       Date:  2011-01       Impact factor: 2.695

7.  Design of regulation and dynamics in simple biochemical pathways.

Authors:  Ram Rup Sarkar; R Maithreye; Somdatta Sinha
Journal:  J Math Biol       Date:  2010-10-19       Impact factor: 2.259

Review 8.  Exploiting plug-and-play synthetic biology for drug discovery and production in microorganisms.

Authors:  Marnix H Medema; Rainer Breitling; Roel Bovenberg; Eriko Takano
Journal:  Nat Rev Microbiol       Date:  2010-12-29       Impact factor: 60.633

9.  Genome-wide modeling of transcription kinetics reveals patterns of RNA production delays.

Authors:  Antti Honkela; Jaakko Peltonen; Hande Topa; Iryna Charapitsa; Filomena Matarese; Korbinian Grote; Hendrik G Stunnenberg; George Reid; Neil D Lawrence; Magnus Rattray
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-05       Impact factor: 11.205

10.  Activity motifs reveal principles of timing in transcriptional control of the yeast metabolic network.

Authors:  Gal Chechik; Eugene Oh; Oliver Rando; Jonathan Weissman; Aviv Regev; Daphne Koller
Journal:  Nat Biotechnol       Date:  2008-11       Impact factor: 54.908

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