Literature DB >> 16362909

On the kinetic design of transcription.

Thomas Höfer1, Malte J Rasch.   

Abstract

We analyse a stochastic model of transcription that describes transcription initiation by promoter activation and subsequent polymerase recruitment. Explicit expressions are derived for the control of an activator on the mean mRNA number and for the mRNA noise. Both properties are strongly influenced by the kinetics of promoter activation, mRNA synthesis and degradation. Low transcriptional noise is obtained either when the transcription initiation complex has a long life-time or when its components associate and dissociate rapidly. However, the ability of an activator to regulate the mRNA level is low in the first and high in the second case. Large noise is generated when the initial activation step of the promoter is slow. In this case, transcription can be burst-like; the mRNA distribution becomes bimodal while regulability of the mean copy number is maintained.

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Year:  2005        PMID: 16362909

Source DB:  PubMed          Journal:  Genome Inform        ISSN: 0919-9454


  6 in total

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2.  Transcription stochasticity of complex gene regulation models.

Authors:  Anne Schwabe; Katja N Rybakova; Frank J Bruggeman
Journal:  Biophys J       Date:  2012-09-19       Impact factor: 4.033

3.  Promoter-mediated transcriptional dynamics.

Authors:  Jiajun Zhang; Tianshou Zhou
Journal:  Biophys J       Date:  2014-01-21       Impact factor: 4.033

4.  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

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.  Nonidentifiability of the source of intrinsic noise in gene expression from single-burst data.

Authors:  Piers J Ingram; Michael P H Stumpf; Jaroslav Stark
Journal:  PLoS Comput Biol       Date:  2008-10-10       Impact factor: 4.475

  6 in total

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