Literature DB >> 11106602

Fluctuations in repressor control: thermodynamic constraints on stochastic focusing.

O G Berg1, J Paulsson, M Ehrenberg.   

Abstract

The influence of fluctuations in molecule numbers on genetic control circuits has received considerable attention. The consensus has been that such fluctuations will make regulation less precise. In contrast, it has more recently been shown that signal fluctuations can sharpen the response in a regulated process by the principle of stochastic focusing (SF) (, Proc. Natl. Acad. Sci. USA. 97:7148-7153). In many cases, the larger the fluctuations are, the sharper is the response. Here we investigate how fluctuations in repressor or corepressor numbers can improve the control of gene expression. Because SF is found to be constrained by detailed balance, this requires that the control loops contain driven processes out of equilibrium. Some simple and realistic out-of-equilibrium steps that will break detailed balance and make room for SF in such systems are discussed. We conclude that when the active repressors are controlled by corepressor molecules that display large ("coherent") number fluctuations or when corepressors can be irreversibly removed directly from promoter-bound repressors, the response in gene activity can become significantly sharper than without intrinsic noise. A simple experimental design to establish the possibility of SF for repressor control is suggested.

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Year:  2000        PMID: 11106602      PMCID: PMC1301173          DOI: 10.1016/S0006-3495(00)76531-3

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  22 in total

1.  Stochastic focusing: fluctuation-enhanced sensitivity of intracellular regulation.

Authors:  J Paulsson; O G Berg; M Ehrenberg
Journal:  Proc Natl Acad Sci U S A       Date:  2000-06-20       Impact factor: 11.205

Review 2.  It's a noisy business! Genetic regulation at the nanomolar scale.

Authors:  H H McAdams; A Arkin
Journal:  Trends Genet       Date:  1999-02       Impact factor: 11.639

3.  Fluctuations and quality of control in biological cells: zero-order ultrasensitivity reinvestigated.

Authors:  O G Berg; J Paulsson; M Ehrenberg
Journal:  Biophys J       Date:  2000-09       Impact factor: 4.033

4.  Random signal fluctuations can reduce random fluctuations in regulated components of chemical regulatory networks.

Authors:  J Paulsson; M Ehrenberg
Journal:  Phys Rev Lett       Date:  2000-06-05       Impact factor: 9.161

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.  Kinetic proofreading: a new mechanism for reducing errors in biosynthetic processes requiring high specificity.

Authors:  J J Hopfield
Journal:  Proc Natl Acad Sci U S A       Date:  1974-10       Impact factor: 11.205

7.  An amplified sensitivity arising from covalent modification in biological systems.

Authors:  A Goldbeter; D E Koshland
Journal:  Proc Natl Acad Sci U S A       Date:  1981-11       Impact factor: 11.205

8.  Lac repressor.

Authors:  B Müller-Hill
Journal:  Angew Chem Int Ed Engl       Date:  1971-03       Impact factor: 15.336

9.  Time-averaged chemical potential of proteins and the detailed-balance principle (an alternative viewpoint).

Authors:  O G Berg
Journal:  Proc Natl Acad Sci U S A       Date:  1983-09       Impact factor: 11.205

10.  Is there proofreading during polypeptide synthesis?

Authors:  T Ruusala; M Ehrenberg; C G Kurland
Journal:  EMBO J       Date:  1982       Impact factor: 11.598

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  7 in total

1.  Intrinsic noise in gene regulatory networks.

Authors:  M Thattai; A van Oudenaarden
Journal:  Proc Natl Acad Sci U S A       Date:  2001-07-03       Impact factor: 11.205

2.  Intrinsic fluctuations, robustness, and tunability in signaling cycles.

Authors:  Joseph Levine; Hao Yuan Kueh; Leonid Mirny
Journal:  Biophys J       Date:  2007-03-30       Impact factor: 4.033

3.  Transcriptional control of noise in gene expression.

Authors:  Alvaro Sánchez; Jané Kondev
Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

Review 4.  Determining the Limitations and Benefits of Noise in Gene Regulation and Signal Transduction through Single Cell, Microscopy-Based Analysis.

Authors:  Marie D Harton; Eric Batchelor
Journal:  J Mol Biol       Date:  2017-03-11       Impact factor: 5.469

Review 5.  Determining biological noise via single cell analysis.

Authors:  Edgar A Arriaga
Journal:  Anal Bioanal Chem       Date:  2008-10-29       Impact factor: 4.142

6.  Core signalling motif displaying multistability through multi-state enzymes.

Authors:  Song Feng; Meritxell Sáez; Carsten Wiuf; Elisenda Feliu; Orkun S Soyer
Journal:  J R Soc Interface       Date:  2016-10       Impact factor: 4.118

7.  The dynamic mechanism of noisy signal decoding in gene regulation.

Authors:  Peijiang Liu; Haohua Wang; Lifang Huang; Tianshou Zhou
Journal:  Sci Rep       Date:  2017-02-08       Impact factor: 4.379

  7 in total

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