Literature DB >> 21862317

What do expression dynamics tell us about the mechanism of transcription?

Daniel R Larson1.   

Abstract

Single-cell microscopy studies have the potential to provide an unprecedented view of gene expression with exquisite spatial and temporal sensitivity. However, there is a challenge to connect the holistic cellular view with a reductionist biochemical view. In particular, experimental efforts to characterize the in vivo regulation of transcription have focused primarily on measurements of the dynamics of transcription factors and chromatin modifying factors. Such measurements have elucidated the transient nature of many nuclear interactions. In the past few years, experimental approaches have emerged that allow for interrogation of the output of transcription at the single-molecule, single-cell level. Here, I summarize the experimental results and models that aim to provide an integrated view of transcriptional regulation. Published by Elsevier Ltd.

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Year:  2011        PMID: 21862317      PMCID: PMC3475196          DOI: 10.1016/j.gde.2011.07.010

Source DB:  PubMed          Journal:  Curr Opin Genet Dev        ISSN: 0959-437X            Impact factor:   5.578


  77 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.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

3.  Chromosomal position effects are linked to sir2-mediated variation in transcriptional burst size.

Authors:  Cory Batenchuk; Simon St-Pierre; Lioudmila Tepliakova; Samyuktha Adiga; Anna Szuto; Nazir Kabbani; John C Bell; Kristin Baetz; Mads Kærn
Journal:  Biophys J       Date:  2011-05-18       Impact factor: 4.033

4.  Dynamic interaction of HDAC1 with a glucocorticoid receptor-regulated gene is modulated by the activity state of the promoter.

Authors:  Yi Qiu; Diana A Stavreva; Yi Luo; Anindya Indrawan; Myron Chang; Gordon L Hager
Journal:  J Biol Chem       Date:  2010-12-02       Impact factor: 5.157

5.  Mammalian genes are transcribed with widely different bursting kinetics.

Authors:  David M Suter; Nacho Molina; David Gatfield; Kim Schneider; Ueli Schibler; Felix Naef
Journal:  Science       Date:  2011-03-17       Impact factor: 47.728

6.  HIV promoter integration site primarily modulates transcriptional burst size rather than frequency.

Authors:  Ron Skupsky; John C Burnett; Jonathan E Foley; David V Schaffer; Adam P Arkin
Journal:  PLoS Comput Biol       Date:  2010-09-30       Impact factor: 4.475

7.  Dynamic analysis of stochastic transcription cycles.

Authors:  Claire V Harper; Bärbel Finkenstädt; Dan J Woodcock; Sönke Friedrichsen; Sabrina Semprini; Louise Ashall; David G Spiller; John J Mullins; David A Rand; Julian R E Davis; Michael R H White
Journal:  PLoS Biol       Date:  2011-04-12       Impact factor: 8.029

8.  Transcription of functionally related constitutive genes is not coordinated.

Authors:  Saumil J Gandhi; Daniel Zenklusen; Timothée Lionnet; Robert H Singer
Journal:  Nat Struct Mol Biol       Date:  2010-12-05       Impact factor: 15.369

9.  In vivo imaging of labelled endogenous β-actin mRNA during nucleocytoplasmic transport.

Authors:  David Grünwald; Robert H Singer
Journal:  Nature       Date:  2010-09-15       Impact factor: 49.962

10.  A transgenic mouse for in vivo detection of endogenous labeled mRNA.

Authors:  Timothée Lionnet; Kevin Czaplinski; Xavier Darzacq; Yaron Shav-Tal; Amber L Wells; Jeffrey A Chao; Hye Yoon Park; Valeria de Turris; Melissa Lopez-Jones; Robert H Singer
Journal:  Nat Methods       Date:  2011-01-16       Impact factor: 28.547

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  35 in total

Review 1.  Transcription goes digital.

Authors:  Timothée Lionnet; Robert H Singer
Journal:  EMBO Rep       Date:  2012-04-02       Impact factor: 8.807

2.  Analytical distribution and tunability of noise in a model of promoter progress.

Authors:  Jiajun Zhang; Luonan Chen; Tianshou Zhou
Journal:  Biophys J       Date:  2012-03-20       Impact factor: 4.033

3.  Noise and low-level dynamics can coordinate multicomponent bet hedging mechanisms.

Authors:  Javier Garcia-Bernardo; Mary J Dunlop
Journal:  Biophys J       Date:  2015-01-06       Impact factor: 4.033

Review 4.  Computational and analytical challenges in single-cell transcriptomics.

Authors:  Oliver Stegle; Sarah A Teichmann; John C Marioni
Journal:  Nat Rev Genet       Date:  2015-01-28       Impact factor: 53.242

5.  Promoter-mediated transcriptional dynamics.

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

6.  Noise and information transmission in promoters with multiple internal States.

Authors:  Georg Rieckh; Gašper Tkačik
Journal:  Biophys J       Date:  2014-03-04       Impact factor: 4.033

7.  Reinitiation enhances reliable transcriptional responses in eukaryotes.

Authors:  Bo Liu; Zhanjiang Yuan; Kazuyuki Aihara; Luonan Chen
Journal:  J R Soc Interface       Date:  2014-08-06       Impact factor: 4.118

8.  Epigenetic control of immunity.

Authors:  Meinrad Busslinger; Alexander Tarakhovsky
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-06-02       Impact factor: 10.005

9.  Constraining the complexity of promoter dynamics using fluctuations in gene expression.

Authors:  Niraj Kumar; Rahul V Kulkarni
Journal:  Phys Biol       Date:  2019-11-05       Impact factor: 2.583

Review 10.  Eukaryotic transcriptional dynamics: from single molecules to cell populations.

Authors:  Antoine Coulon; Carson C Chow; Robert H Singer; Daniel R Larson
Journal:  Nat Rev Genet       Date:  2013-07-09       Impact factor: 53.242

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