Literature DB >> 24850905

Reinitiation enhances reliable transcriptional responses in eukaryotes.

Bo Liu1, Zhanjiang Yuan2, Kazuyuki Aihara3, Luonan Chen4.   

Abstract

Gene transcription is a noisy process carried out by the transcription machinery recruited to the promoter. Noise reduction is a fundamental requirement for reliable transcriptional responses which in turn are crucial for signal transduction. Compared with the relatively simple transcription initiation in prokaryotes, eukaryotic transcription is more complex partially owing to its additional reinitiation mechanism. By theoretical analysis, we showed that reinitiation reduces noise in eukaryotic transcription independent of the transcription level. Besides, a higher reinitiation rate enables a stable scaffold complex an advantage in noise reduction. Finally, we showed that the coupling between scaffold formation and transcription can further reduce transcription noise independent of the transcription level. Furthermore, compared with the reinitiation mechanism, the noise reduction effect of the coupling can be of more significance in the case that the transcription level is low and the intrinsic noise dominates. Our results uncover a mechanistic route which eukaryotes may use to facilitate a more reliable response in the noisy transcription process.
© 2014 The Author(s) Published by the Royal Society. All rights reserved.

Keywords:  eukaryotic transcription; gene transcription; noise analysis; transcription reinitiation

Mesh:

Substances:

Year:  2014        PMID: 24850905      PMCID: PMC4208363          DOI: 10.1098/rsif.2014.0326

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  35 in total

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Review 2.  Detours and shortcuts to transcription reinitiation.

Authors:  Giorgio Dieci; André Sentenac
Journal:  Trends Biochem Sci       Date:  2003-04       Impact factor: 13.807

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Authors:  Jonathan M Raser; Erin K O'Shea
Journal:  Science       Date:  2004-05-27       Impact factor: 47.728

4.  Transcriptional control of noise in gene expression.

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Journal:  Proc Natl Acad Sci U S A       Date:  2008-03-19       Impact factor: 11.205

5.  Multimodality and flexibility of stochastic gene expression.

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6.  Intrinsic noise in stochastic models of gene expression with molecular memory and bursting.

Authors:  Tao Jia; Rahul V Kulkarni
Journal:  Phys Rev Lett       Date:  2011-02-02       Impact factor: 9.161

7.  A model for the statistical fluctuations of protein numbers in a microbial population.

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Journal:  J Theor Biol       Date:  1978-04-20       Impact factor: 2.691

8.  Stochastic models of transcription: from single molecules to single cells.

Authors:  Alvaro Sanchez; Sandeep Choubey; Jane Kondev
Journal:  Methods       Date:  2013-04-01       Impact factor: 3.608

9.  Short-term memory in gene induction reveals the regulatory principle behind stochastic IL-4 expression.

Authors:  Luca Mariani; Edda G Schulz; Maria H Lexberg; Caroline Helmstetter; Andreas Radbruch; Max Löhning; Thomas Höfer
Journal:  Mol Syst Biol       Date:  2010-04-13       Impact factor: 11.429

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  2 in total

1.  Big biological data: challenges and opportunities.

Authors:  Yixue Li; Luonan Chen
Journal:  Genomics Proteomics Bioinformatics       Date:  2014-10-14       Impact factor: 7.691

2.  Effects of promoter leakage on dynamics of gene expression.

Authors:  Lifang Huang; Zhanjiang Yuan; Peijiang Liu; Tianshou Zhou
Journal:  BMC Syst Biol       Date:  2015-03-21
  2 in total

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