Literature DB >> 19658736

Role of cooperative binding on noise expression.

P S Gutierrez1, D Monteoliva, L Diambra.   

Abstract

The origin of stochastic fluctuations in gene expression has received considerable attention recently. Fluctuations in gene expression are particularly pronounced in cellular systems because of the small copy number of species undergoing transitions between discrete chemical states and the small size of biological compartments. In this paper, we propose a stochastic model for gene expression regulation including several binding sites, considering elementary reactions only. The model is used to investigate the role of cooperativity on the intrinsic fluctuations of gene expression by means of master-equation formalism. We found that the Hill coefficient and the level of noise increase as the interaction energy between activators increases. Additionally, we show that the model allows one to distinguish between two cooperative binding mechanisms.

Mesh:

Year:  2009        PMID: 19658736     DOI: 10.1103/PhysRevE.80.011914

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  Decoupled molecules with binding polynomials of bidegree (n, 2).

Authors:  Yue Ren; Johannes W R Martini; Jacinta Torres
Journal:  J Math Biol       Date:  2018-10-03       Impact factor: 2.259

2.  Noise and information transmission in promoters with multiple internal States.

Authors:  Georg Rieckh; Gašper Tkačik
Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

3.  Effect of promoter architecture on the cell-to-cell variability in gene expression.

Authors:  Alvaro Sanchez; Hernan G Garcia; Daniel Jones; Rob Phillips; Jané Kondev
Journal:  PLoS Comput Biol       Date:  2011-03-03       Impact factor: 4.475

4.  Noise minimisation in gene expression switches.

Authors:  Diana Monteoliva; Christina B McCarthy; Luis Diambra
Journal:  PLoS One       Date:  2013-12-23       Impact factor: 3.240

5.  Cooperative binding of transcription factors promotes bimodal gene expression response.

Authors:  Pablo S Gutierrez; Diana Monteoliva; Luis Diambra
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

6.  Promoters Architecture-Based Mechanism for Noise-Induced Oscillations in a Single-Gene Circuit.

Authors:  N Guisoni; D Monteoliva; L Diambra
Journal:  PLoS One       Date:  2016-03-09       Impact factor: 3.240

  6 in total

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