Literature DB >> 10704297

How to make a biological switch.

J L Cherry1, F R Adler.   

Abstract

Some biological regulatory systems must "remember" a state for long periods of time. A simple type of system that can accomplish this task is one in which two regulatory elements negatively regulate one another. For example, two repressor proteins might control one another's synthesis. Qualitative reasoning suggests that such a system will have two stable states, one in which the first element is "on" and the second "off", and another in which these states are reversed. Quantitative analysis shows that the existence of two stable steady states depends on the details of the system. Among other things, the shapes of functions describing the effect of one regulatory element on the other must meet certain criteria in order for two steady states to exist. Many biologically reasonable functions do not meet these criteria. In particular, repression that is well described by a Michaelis-Menten-type equation cannot lead to a working switch. However, functions describing positive cooperativity of binding, non-additive effects of multiple operator sites, or depletion of free repressor can lead to working switches. Copyright 2000 Academic Press.

Mesh:

Year:  2000        PMID: 10704297     DOI: 10.1006/jtbi.2000.1068

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  89 in total

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4.  A nonlinear discrete dynamical model for transcriptional regulation: construction and properties.

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5.  Stability and multiattractor dynamics of a toggle switch based on a two-stage model of stochastic gene expression.

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7.  Bimodal gene expression in noncooperative regulatory systems.

Authors:  Anna Ochab-Marcinek; Marcin Tabaka
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Review 8.  Dynamical systems approach to endothelial heterogeneity.

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Journal:  Circ Res       Date:  2012-06-22       Impact factor: 17.367

9.  Critical Timing without a Timer for Embryonic Development.

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Journal:  Biophys J       Date:  2015-10-20       Impact factor: 4.033

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

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Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06
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