Literature DB >> 26896676

A continuum model of transcriptional bursting.

Adam M Corrigan1,2, Edward Tunnacliffe1,2, Danielle Cannon1,2, Jonathan R Chubb1,2.   

Abstract

Transcription occurs in stochastic bursts. Early models based upon RNA hybridisation studies suggest bursting dynamics arise from alternating inactive and permissive states. Here we investigate bursting mechanism in live cells by quantitative imaging of actin gene transcription, combined with molecular genetics, stochastic simulation and probabilistic modelling. In contrast to early models, our data indicate a continuum of transcriptional states, with a slowly fluctuating initiation rate converting the gene between different levels of activity, interspersed with extended periods of inactivity. We place an upper limit of 40 s on the lifetime of fluctuations in elongation rate, with initiation rate variations persisting an order of magnitude longer. TATA mutations reduce the accessibility of high activity states, leaving the lifetime of on- and off-states unchanged. A continuum or spectrum of gene states potentially enables a wide dynamic range for cell responses to stimuli.

Entities:  

Keywords:  chromosomes; computational biology; computational modelling; dictyostelium; genes; live cell imaging; single cell gene expression; stochastic gene expression; systems biology; transcription; transcriptional bursting

Mesh:

Substances:

Year:  2016        PMID: 26896676      PMCID: PMC4850746          DOI: 10.7554/eLife.13051

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.140


  46 in total

1.  Real-time observation of transcription initiation and elongation on an endogenous yeast gene.

Authors:  Daniel R Larson; Daniel Zenklusen; Bin Wu; Jeffrey A Chao; Robert H Singer
Journal:  Science       Date:  2011-04-22       Impact factor: 47.728

2.  Eukaryotic transcription: what does it mean for a gene to be 'on'?

Authors:  Ido Golding; Edward C Cox
Journal:  Curr Biol       Date:  2006-05-23       Impact factor: 10.834

3.  Single-molecule tracking in live cells reveals distinct target-search strategies of transcription factors in the nucleus.

Authors:  Ignacio Izeddin; Vincent Récamier; Lana Bosanac; Ibrahim I Cissé; Lydia Boudarene; Claire Dugast-Darzacq; Florence Proux; Olivier Bénichou; Raphaël Voituriez; Olivier Bensaude; Maxime Dahan; Xavier Darzacq
Journal:  Elife       Date:  2014-06-12       Impact factor: 8.140

4.  Cell-to-cell variability in the propensity to transcribe explains correlated fluctuations in gene expression.

Authors:  Marc S Sherman; Kim Lorenz; M Hunter Lanier; Barak A Cohen
Journal:  Cell Syst       Date:  2015-11-25       Impact factor: 10.304

Review 5.  Functional roles for noise in genetic circuits.

Authors:  Avigdor Eldar; Michael B Elowitz
Journal:  Nature       Date:  2010-09-09       Impact factor: 49.962

6.  Dynamic organisation of prolactin gene expression in living pituitary tissue.

Authors:  Claire V Harper; Karen Featherstone; Sabrina Semprini; Sönke Friedrichsen; Judith McNeilly; Pawel Paszek; David G Spiller; Alan S McNeilly; John J Mullins; Julian R E Davis; Michael R H White
Journal:  J Cell Sci       Date:  2010-02-01       Impact factor: 5.285

Review 7.  Nature, nurture, or chance: stochastic gene expression and its consequences.

Authors:  Arjun Raj; Alexander van Oudenaarden
Journal:  Cell       Date:  2008-10-17       Impact factor: 41.582

8.  Mechanism of transcriptional bursting in bacteria.

Authors:  Shasha Chong; Chongyi Chen; Hao Ge; X Sunney Xie
Journal:  Cell       Date:  2014-07-17       Impact factor: 41.582

9.  Single-RNA counting reveals alternative modes of gene expression in yeast.

Authors:  Daniel Zenklusen; Daniel R Larson; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2008-11-16       Impact factor: 15.369

10.  Transcriptional pulsing of a developmental gene.

Authors:  Jonathan R Chubb; Tatjana Trcek; Shailesh M Shenoy; Robert H Singer
Journal:  Curr Biol       Date:  2006-05-23       Impact factor: 10.834

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  47 in total

1.  Gene Networks with Transcriptional Bursting Recapitulate Rare Transient Coordinated High Expression States in Cancer.

Authors:  Lea Schuh; Michael Saint-Antoine; Eric M Sanford; Benjamin L Emert; Abhyudai Singh; Carsten Marr; Arjun Raj; Yogesh Goyal
Journal:  Cell Syst       Date:  2020-04-22       Impact factor: 10.304

Review 2.  Understanding biochemical processes in the presence of sub-diffusive behavior of biomolecules in solution and living cells.

Authors:  Sujit Basak; Sombuddha Sengupta; Krishnananda Chattopadhyay
Journal:  Biophys Rev       Date:  2019-08-23

3.  Transition state dynamics during a stochastic fate choice.

Authors:  Vlatka Antolović; Tchern Lenn; Agnes Miermont; Jonathan R Chubb
Journal:  Development       Date:  2019-04-08       Impact factor: 6.868

4.  Transcriptional Bursts in a Nonequilibrium Model for Gene Regulation by Supercoiling.

Authors:  Marco Ancona; Alessandro Bentivoglio; Chris A Brackley; Giuseppe Gonnella; Davide Marenduzzo
Journal:  Biophys J       Date:  2019-04-26       Impact factor: 4.033

5.  Fluctuations of pol I and fibrillarin contents of the nucleoli.

Authors:  M Hornáček; L Kováčik; T Mazel; D Cmarko; E Bártová; I Raška; E Smirnov
Journal:  Nucleus       Date:  2017-06-16       Impact factor: 4.197

6.  Promoter-mediated diversification of transcriptional bursting dynamics following gene duplication.

Authors:  Edward Tunnacliffe; Adam M Corrigan; Jonathan R Chubb
Journal:  Proc Natl Acad Sci U S A       Date:  2018-07-30       Impact factor: 11.205

7.  Kinetics of transcription initiation directed by multiple cis-regulatory elements on the glnAp2 promoter.

Authors:  Yaolai Wang; Feng Liu; Wei Wang
Journal:  Nucleic Acids Res       Date:  2016-11-29       Impact factor: 16.971

8.  A Stochastic Model of Gene Expression with Polymerase Recruitment and Pause Release.

Authors:  Zhixing Cao; Tatiana Filatova; Diego A Oyarzún; Ramon Grima
Journal:  Biophys J       Date:  2020-08-03       Impact factor: 4.033

Review 9.  Chromatin dependencies in cancer and inflammation.

Authors:  Ivan Marazzi; Benjamin D Greenbaum; Diana H P Low; Ernesto Guccione
Journal:  Nat Rev Mol Cell Biol       Date:  2017-11-29       Impact factor: 94.444

10.  A Mechanochemical Model of Transcriptional Bursting.

Authors:  Alena Klindziuk; Billie Meadowcroft; Anatoly B Kolomeisky
Journal:  Biophys J       Date:  2020-01-28       Impact factor: 4.033

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