Literature DB >> 23354928

Gene expression in self-repressing system with multiple gene copies.

Jacek Miekisz1, Paulina Szymańska.   

Abstract

We analyze a simple model of a self-repressing system with multiple gene copies. Protein molecules may bound to DNA promoters and block their own transcription. We derive analytical expressions for the variance of the number of protein molecules in the stationary state in the self-consistent mean-field approximation. We show that the Fano factor (the variance divided by the mean value) is bigger for the one-gene case than for two gene copies and the difference decreases to zero as frequencies of binding and unbinding increase to infinity.

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Year:  2013        PMID: 23354928      PMCID: PMC3567334          DOI: 10.1007/s11538-013-9808-7

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  17 in total

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3.  Summing up the noise in gene networks.

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Journal:  Nature       Date:  2004-01-29       Impact factor: 49.962

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5.  Transcriptional stochasticity in gene expression.

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Journal:  J Theor Biol       Date:  2005-07-21       Impact factor: 2.691

6.  Stochastic bifurcation, slow fluctuations, and bistability as an origin of biochemical complexity.

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Journal:  Phys Chem Chem Phys       Date:  2009-04-08       Impact factor: 3.676

7.  Translational repression contributes greater noise to gene expression than transcriptional repression.

Authors:  Michał Komorowski; Jacek Miekisz; Andrzej M Kierzek
Journal:  Biophys J       Date:  2009-01       Impact factor: 4.033

8.  An extension of the moment closure method.

Authors:  Ingemar Nåsell
Journal:  Theor Popul Biol       Date:  2003-09       Impact factor: 1.570

9.  Approximation scheme based on effective interactions for stochastic gene regulation.

Authors:  Jun Ohkubo
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2011-04-20

10.  Binomial moment equations for stochastic reaction systems.

Authors:  Baruch Barzel; Ofer Biham
Journal:  Phys Rev Lett       Date:  2011-04-13       Impact factor: 9.161

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  1 in total

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  1 in total

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