Literature DB >> 10968987

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

O G Berg1, J Paulsson, M Ehrenberg.   

Abstract

Living cells differ from most other chemical systems in that they involve regulation pathways that depend very nonlinearly on chemical species that are present in low copy numbers per cell. This leads to a variety of intracellular kinetic phenomena that elude macroscopic modeling, which implicitly assumes that cells are infinitely large and fluctuations negligible. It is of particular importance to assess how fluctuations affect regulation in cases where precision and reliability are required. Here, taking finite cell size and stochastic aspects into account, we reinvestigate theoretically the mechanism of zero-order ultrasensitivity for covalent modification of target enzymes ( Proc. Natl. Acad. Sci. USA. 78:6840-6844). Macroscopically, this mechanism can produce a very sharp transition in target concentrations for very small changes in the activity of the converter enzymes. This study shows that the transition is much more gradual in a finite cell or a population of finite cells. It also demonstrates that the switch is exactly analogous to a thermodynamic phase transition and that ultrasensitivity is inevitably coupled to random ultravariation. As a consequence, the average response in a large population of cells will often be much more gradual than predicted from macroscopic descriptions.

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Year:  2000        PMID: 10968987      PMCID: PMC1301019          DOI: 10.1016/S0006-3495(00)76377-6

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


  14 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.  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

4.  Induced synthesis of enzymes in bacteria analyzed at the cellular level.

Authors:  S BENZER
Journal:  Biochim Biophys Acta       Date:  1953-07

5.  Stochastic kinetic analysis of developmental pathway bifurcation in phage lambda-infected Escherichia coli cells.

Authors:  A Arkin; J Ross; H H McAdams
Journal:  Genetics       Date:  1998-08       Impact factor: 4.562

6.  Non-genetic individuality: chance in the single cell.

Authors:  J L Spudich; D E Koshland
Journal:  Nature       Date:  1976-08-05       Impact factor: 49.962

7.  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

8.  The biochemical basis of an all-or-none cell fate switch in Xenopus oocytes.

Authors:  J E Ferrell; E M Machleder
Journal:  Science       Date:  1998-05-08       Impact factor: 47.728

9.  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

10.  Trade-off between segregational stability and metabolic burden: a mathematical model of plasmid ColE1 replication control.

Authors:  J Paulsson; M Ehrenberg
Journal:  J Mol Biol       Date:  1998-05-29       Impact factor: 5.469

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  39 in total

1.  Fluctuations in repressor control: thermodynamic constraints on stochastic focusing.

Authors:  O G Berg; J Paulsson; M Ehrenberg
Journal:  Biophys J       Date:  2000-12       Impact factor: 4.033

2.  Push or pull? Teams of motor proteins have it both ways.

Authors:  Thomas Duke
Journal:  Proc Natl Acad Sci U S A       Date:  2002-05-14       Impact factor: 11.205

3.  Attenuation of noise in ultrasensitive signaling cascades.

Authors:  Mukund Thattai; Alexander van Oudenaarden
Journal:  Biophys J       Date:  2002-06       Impact factor: 4.033

4.  A reduced model clarifies the role of feedback loops and time delays in the Drosophila circadian oscillator.

Authors:  Paul Smolen; Douglas A Baxter; John H Byrne
Journal:  Biophys J       Date:  2002-11       Impact factor: 4.033

5.  Near-critical phenomena in intracellular metabolite pools.

Authors:  Johan Elf; Johan Paulsson; Otto G Berg; Måns Ehrenberg
Journal:  Biophys J       Date:  2003-01       Impact factor: 4.033

6.  Fast evaluation of fluctuations in biochemical networks with the linear noise approximation.

Authors:  Johan Elf; Måns Ehrenberg
Journal:  Genome Res       Date:  2003-11       Impact factor: 9.043

7.  Signaling in small subcellular volumes. I. Stochastic and diffusion effects on individual pathways.

Authors:  Upinder S Bhalla
Journal:  Biophys J       Date:  2004-08       Impact factor: 4.033

8.  Noisy signal amplification in ultrasensitive signal transduction.

Authors:  Tatsuo Shibata; Koichi Fujimoto
Journal:  Proc Natl Acad Sci U S A       Date:  2004-12-29       Impact factor: 11.205

9.  An optimal number of molecules for signal amplification and discrimination in a chemical cascade.

Authors:  Yoshihiro Morishita; Tetsuya J Kobayashi; Kazuyuki Aihara
Journal:  Biophys J       Date:  2006-06-23       Impact factor: 4.033

10.  Sensitivity analysis of metabolic cascades catalyzed by bifunctional enzymes.

Authors:  Fernando Ortega; Måns Ehrenberg; Luis Acerenza; Hans V Westerhoff; Francesc Mas; Marta Cascante
Journal:  Mol Biol Rep       Date:  2002       Impact factor: 2.316

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