Literature DB >> 23673649

Transcription factor binding kinetics constrain noise suppression via negative feedback.

Andreas Grönlund1, Per Lötstedt, Johan Elf.   

Abstract

Negative autoregulation, where a transcription factor regulates its own expression by preventing transcription, is commonly used to suppress fluctuations in gene expression. Recent single molecule in vivo imaging has shown that it takes significant time for a transcription factor molecule to bind its chromosomal binding site. Given the slow association kinetics, transcription factor mediated feedback cannot at the same time be fast and strong. Here we show that with a limited association rate follows an optimal transcription factor binding strength where noise is maximally suppressed. At the optimal binding strength the binding site is free a fixed fraction of the time independent of the transcription factor concentration. One consequence is that high-copy number transcription factors should bind weakly to their operators, which is observed for transcription factors in Escherichia coli. The results demonstrate that a binding site's strength may be uncorrelated to its functional importance.

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Year:  2013        PMID: 23673649     DOI: 10.1038/ncomms2867

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  27 in total

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Review 2.  Identifying global regulators in transcriptional regulatory networks in bacteria.

Authors:  Agustino Martínez-Antonio; Julio Collado-Vides
Journal:  Curr Opin Microbiol       Date:  2003-10       Impact factor: 7.934

3.  Absolute rate theories of epigenetic stability.

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4.  Physical limits to biochemical signaling.

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5.  A model for the statistical fluctuations of protein numbers in a microbial population.

Authors:  O G Berg
Journal:  J Theor Biol       Date:  1978-04-20       Impact factor: 2.691

6.  Comparison of classical and autogenous systems of regulation in inducible operons.

Authors:  M A Savageau
Journal:  Nature       Date:  1974-12-13       Impact factor: 49.962

7.  Growth phase-dependent variation in protein composition of the Escherichia coli nucleoid.

Authors:  T Ali Azam; A Iwata; A Nishimura; S Ueda; A Ishihama
Journal:  J Bacteriol       Date:  1999-10       Impact factor: 3.490

8.  Fundamental limits on the suppression of molecular fluctuations.

Authors:  Ioannis Lestas; Glenn Vinnicombe; Johan Paulsson
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

9.  Selection of DNA binding sites by regulatory proteins: the LexA protein and the arginine repressor use different strategies for functional specificity.

Authors:  O G Berg
Journal:  Nucleic Acids Res       Date:  1988-06-10       Impact factor: 16.971

10.  Strong negative self regulation of prokaryotic transcription factors increases the intrinsic noise of protein expression.

Authors:  Dov J Stekel; Dafyd J Jenkins
Journal:  BMC Syst Biol       Date:  2008-01-18
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  13 in total

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Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

2.  Gene expression noise is affected differentially by feedback in burst frequency and burst size.

Authors:  Pavol Bokes; Abhyudai Singh
Journal:  J Math Biol       Date:  2016-09-24       Impact factor: 2.259

Review 3.  A matter of time - How transient transcription factor interactions create dynamic gene regulatory networks.

Authors:  Joseph Swift; Gloria M Coruzzi
Journal:  Biochim Biophys Acta Gene Regul Mech       Date:  2016-08-18       Impact factor: 4.490

Review 4.  Time-Based Systems Biology Approaches to Capture and Model Dynamic Gene Regulatory Networks.

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5.  Ranking of Reactions Based on Sensitivity of Protein Noise Depends on the Choice of Noise Measure.

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Journal:  PLoS One       Date:  2015-12-01       Impact factor: 3.240

6.  Effects of promoter leakage on dynamics of gene expression.

Authors:  Lifang Huang; Zhanjiang Yuan; Peijiang Liu; Tianshou Zhou
Journal:  BMC Syst Biol       Date:  2015-03-21

7.  Intrinsic phenotypic stability of a bi-stable auto regulatory gene.

Authors:  Azim-Berdy Besya; Andreas Grönlund
Journal:  Sci Rep       Date:  2016-03-10       Impact factor: 4.379

8.  A quantitative model of the phytochrome-PIF light signalling initiating chloroplast development.

Authors:  Carole Dubreuil; Yan Ji; Åsa Strand; Andreas Grönlund
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9.  Limits of noise for autoregulated gene expression.

Authors:  Peter Czuppon; Peter Pfaffelhuber
Journal:  J Math Biol       Date:  2018-05-24       Impact factor: 2.259

10.  Control of Hox transcription factor concentration and cell-to-cell variability by an auto-regulatory switch.

Authors:  Dimitrios K Papadopoulos; Kassiani Skouloudaki; Ylva Engström; Lars Terenius; Rudolf Rigler; Christoph Zechner; Vladana Vukojević; Pavel Tomancak
Journal:  Development       Date:  2019-01-25       Impact factor: 6.868

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