Literature DB >> 15670592

A mathematical model for transcriptional interference by RNA polymerase traffic in Escherichia coli.

Kim Sneppen1, Ian B Dodd, Keith E Shearwin, Adam C Palmer, Rachel A Schubert, Benjamin P Callen, J Barry Egan.   

Abstract

Interactions between RNA polymerases (RNAP) resulting from tandem or convergent arrangements of promoters can cause transcriptional interference, often with important consequences for gene expression. However, it is not known what factors determine the magnitude of interference and which mechanisms are likely to predominate in any situation. We therefore developed a mathematical model incorporating three mechanisms of transcriptional interference in bacteria: occlusion (in which passing RNAPs block access to the promoter), collisions between elongating RNAPs, and "sitting duck" interference (in which RNAP complexes waiting to fire at the promoter are removed by passing RNAP). The predictions of the model are in good agreement with a recent quantitative in vivo study of convergent promoters in E.coli. Our analysis predicts that strong occlusion requires the interfering promoter to be very strong. Collisions can also produce strong interference but only if the interfering promoter is very strong or if the convergent promoters are far apart (>200 bp). For moderate strength interfering promoters and short inter-promoter distances, strong interference is dependent on the sitting duck mechanism. Sitting duck interference is dependent on the relative strengths of the two promoters. However, it is also dependent on the "aspect ratio" (the relative rates of RNAP binding and firing) of the sensitive promoter, allowing promoters of equal strength to have very different sensitivities to transcriptional interference. The model provides a framework for using transcriptional interference to investigate various dynamic processes on DNA in vivo.

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Year:  2004        PMID: 15670592     DOI: 10.1016/j.jmb.2004.11.075

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  44 in total

1.  Using both strands: The fundamental nature of antisense transcription.

Authors:  Struan C Murray; Jane Mellor
Journal:  Bioarchitecture       Date:  2016

Review 2.  Transcriptional interference--a crash course.

Authors:  Keith E Shearwin; Benjamin P Callen; J Barry Egan
Journal:  Trends Genet       Date:  2005-06       Impact factor: 11.639

3.  Dynamical analysis on gene activity in the presence of repressors and an interfering promoter.

Authors:  Hiizu Nakanishi; Namiko Mitarai; Kim Sneppen
Journal:  Biophys J       Date:  2008-07-25       Impact factor: 4.033

Review 4.  cis-antisense RNA, another level of gene regulation in bacteria.

Authors:  Jens Georg; Wolfgang R Hess
Journal:  Microbiol Mol Biol Rev       Date:  2011-06       Impact factor: 11.056

5.  Transcriptional interference by RNA polymerase pausing and dislodgement of transcription factors.

Authors:  Adam C Palmer; J Barry Egan; Keith E Shearwin
Journal:  Transcription       Date:  2011 Jan-Feb

6.  Antisense transcription in gammaretroviruses as a mechanism of insertional activation of host genes.

Authors:  Mads Heilskov Rasmussen; Borja Ballarín-González; Jinghua Liu; Louise Berkhoudt Lassen; Annette Füchtbauer; Ernst-Martin Füchtbauer; Anders Lade Nielsen; Finn Skou Pedersen
Journal:  J Virol       Date:  2010-02-03       Impact factor: 5.103

7.  Transcription closed and open complex formation coordinate expression of genes with a shared promoter region.

Authors:  Antti Häkkinen; Samuel M D Oliveira; Ramakanth Neeli-Venkata; Andre S Ribeiro
Journal:  J R Soc Interface       Date:  2019-12-11       Impact factor: 4.118

Review 8.  Guidance for data collection and computational modelling of regulatory networks.

Authors:  Adam Christopher Palmer; Keith Edward Shearwin
Journal:  Methods Mol Biol       Date:  2009

9.  Control and signal processing by transcriptional interference.

Authors:  Antoine Buetti-Dinh; Rosemarie Ungricht; János Z Kelemen; Chetak Shetty; Prasuna Ratna; Attila Becskei
Journal:  Mol Syst Biol       Date:  2009-08-18       Impact factor: 11.429

10.  Evidence for a major role of antisense RNAs in cyanobacterial gene regulation.

Authors:  Jens Georg; Björn Voss; Ingeborg Scholz; Jan Mitschke; Annegret Wilde; Wolfgang R Hess
Journal:  Mol Syst Biol       Date:  2009-09-15       Impact factor: 11.429

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