Literature DB >> 12702751

On schemes of combinatorial transcription logic.

Nicolas E Buchler1, Ulrich Gerland, Terence Hwa.   

Abstract

Cells receive a wide variety of cellular and environmental signals, which are often processed combinatorially to generate specific genetic responses. Here we explore theoretically the potentials and limitations of combinatorial signal integration at the level of cis-regulatory transcription control. Our analysis suggests that many complex transcription-control functions of the type encountered in higher eukaryotes are already implementable within the much simpler bacterial transcription system. Using a quantitative model of bacterial transcription and invoking only specific protein-DNA interaction and weak glue-like interaction between regulatory proteins, we show explicit schemes to implement regulatory logic functions of increasing complexity by appropriately selecting the strengths and arranging the relative positions of the relevant protein-binding DNA sequences in the cis-regulatory region. The architectures that emerge are naturally modular and evolvable. Our results suggest that the transcription regulatory apparatus is a "programmable" computing machine, belonging formally to the class of Boltzmann machines. Crucial to our results is the ability to regulate gene expression at a distance. In bacteria, this can be achieved for isolated genes via DNA looping controlled by the dimerization of DNA-bound proteins. However, if adopted extensively in the genome, long-distance interaction can cause unintentional intergenic cross talk, a detrimental side effect difficult to overcome by the known bacterial transcription-regulation systems. This may be a key factor limiting the genome-wide adoption of complex transcription control in bacteria. Implications of our findings for combinatorial transcription control in eukaryotes are discussed.

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Year:  2003        PMID: 12702751      PMCID: PMC404558          DOI: 10.1073/pnas.0930314100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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Review 2.  Fundamentally different logic of gene regulation in eukaryotes and prokaryotes.

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Journal:  Cell       Date:  1999-07-09       Impact factor: 41.582

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Authors:  C Wolberger
Journal:  Annu Rev Biophys Biomol Struct       Date:  1999

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Authors:  Joanna A Miller; Jonathan Widom
Journal:  Mol Cell Biol       Date:  2003-03       Impact factor: 4.272

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Journal:  Dev Genet       Date:  1998

Review 6.  Simulation of prokaryotic genetic circuits.

Authors:  H H McAdams; A Arkin
Journal:  Annu Rev Biophys Biomol Struct       Date:  1998

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Journal:  J Mol Biol       Date:  1985-01-20       Impact factor: 5.469

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Authors:  W P Stemmer
Journal:  Nature       Date:  1994-08-04       Impact factor: 49.962

9.  How the global structure of protein interaction networks evolves.

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Journal:  Proc Biol Sci       Date:  2003-03-07       Impact factor: 5.349

10.  The eve stripe 2 enhancer employs multiple modes of transcriptional synergy.

Authors:  D N Arnosti; S Barolo; M Levine; S Small
Journal:  Development       Date:  1996-01       Impact factor: 6.868

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  265 in total

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Journal:  Mol Biol Evol       Date:  2011-11-10       Impact factor: 16.240

3.  Structure and function of the feed-forward loop network motif.

Authors:  S Mangan; U Alon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-06       Impact factor: 11.205

4.  Network motifs in integrated cellular networks of transcription-regulation and protein-protein interaction.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-04-12       Impact factor: 11.205

5.  Self-consistent proteomic field theory of stochastic gene switches.

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6.  Stable IL-2 decision making by endogenous c-Fos amounts in peripheral memory T-helper cells.

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Journal:  J Biol Chem       Date:  2012-04-03       Impact factor: 5.157

7.  Physical limits on cooperative protein-DNA binding and the kinetics of combinatorial transcription regulation.

Authors:  Nico Geisel; Ulrich Gerland
Journal:  Biophys J       Date:  2011-10-05       Impact factor: 4.033

8.  Abduction and asylum in the lives of transcription factors.

Authors:  Anat Burger; Aleksandra M Walczak; Peter G Wolynes
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-16       Impact factor: 11.205

9.  Genetic flexibility of regulatory networks.

Authors:  Alexander Hunziker; Csaba Tuboly; Péter Horváth; Sandeep Krishna; Szabolcs Semsey
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-06       Impact factor: 11.205

10.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration.

Authors:  Mattias Rydenfelt; Robert Sidney Cox; Hernan Garcia; Rob Phillips
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06
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