Abstract / Description of output
We propose a stochastic model for gene transcription coupled to DNA supercoiling, where we incorporate the experimental observation that polymerases create supercoiling as they unwind the DNA helix and that these enzymes bind more favorably to regions where the genome is unwound. Within this model, we show that when the transcriptionally induced flux of supercoiling increases, there is a sharp crossover from a regime where torsional stresses relax quickly and gene transcription is random, to one where gene expression is highly correlated and tightly regulated by supercoiling. In the latter regime, the model displays transcriptional bursts, waves of supercoiling, and up regulation of divergent or bidirectional genes. It also predicts that topological enzymes which relax twist and writhe should provide a pathway to down regulate transcription.
Original language | English |
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Article number | 018101 |
Journal | Physical Review Letters |
Volume | 117 |
Issue number | 1 |
DOIs | |
Publication status | Published - 27 Jun 2016 |
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Dive into the research topics of 'Stochastic Model of Supercoiling-Dependent Transcription'. Together they form a unique fingerprint.Profiles
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Chris Brackley
- School of Physics and Astronomy - Lecturer in Theoretical/Computational Condensed Matter Physi
Person: Academic: Research Active (Research Assistant)
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Nick Gilbert
- Deanery of Molecular, Genetic and Population Health Sciences - Personal Chair of Chromatin Biology
- MRC Human Genetics Unit
Person: Academic: Research Active
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Davide Marenduzzo
- School of Physics and Astronomy - Personal Chair in Computational Biophysics
Person: Academic: Research Active