Literature DB >> 25525251

Promoter architecture dictates cell-to-cell variability in gene expression.

Daniel L Jones1, Robert C Brewster2, Rob Phillips3.   

Abstract

Variability in gene expression among genetically identical cells has emerged as a central preoccupation in the study of gene regulation; however, a divide exists between the predictions of molecular models of prokaryotic transcriptional regulation and genome-wide experimental studies suggesting that this variability is indifferent to the underlying regulatory architecture. We constructed a set of promoters in Escherichia coli in which promoter strength, transcription factor binding strength, and transcription factor copy numbers are systematically varied, and used messenger RNA (mRNA) fluorescence in situ hybridization to observe how these changes affected variability in gene expression. Our parameter-free models predicted the observed variability; hence, the molecular details of transcription dictate variability in mRNA expression, and transcriptional noise is specifically tunable and thus represents an evolutionarily accessible phenotypic parameter.
Copyright © 2014, American Association for the Advancement of Science.

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Year:  2014        PMID: 25525251      PMCID: PMC4388425          DOI: 10.1126/science.1255301

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  22 in total

1.  Intrinsic and extrinsic contributions to stochasticity in gene expression.

Authors:  Peter S Swain; Michael B Elowitz; Eric D Siggia
Journal:  Proc Natl Acad Sci U S A       Date:  2002-09-17       Impact factor: 11.205

2.  Stochastic gene expression in fluctuating environments.

Authors:  Mukund Thattai; Alexander van Oudenaarden
Journal:  Genetics       Date:  2004-05       Impact factor: 4.562

3.  Phenotypic diversity, population growth, and information in fluctuating environments.

Authors:  Edo Kussell; Stanislas Leibler
Journal:  Science       Date:  2005-08-25       Impact factor: 47.728

Review 4.  Transcriptional regulation by the numbers: applications.

Authors:  Lacramioara Bintu; Nicolas E Buchler; Hernan G Garcia; Ulrich Gerland; Terence Hwa; Jané Kondev; Thomas Kuhlman; Rob Phillips
Journal:  Curr Opin Genet Dev       Date:  2005-04       Impact factor: 5.578

5.  Real-time kinetics of gene activity in individual bacteria.

Authors:  Ido Golding; Johan Paulsson; Scott M Zawilski; Edward C Cox
Journal:  Cell       Date:  2005-12-16       Impact factor: 41.582

6.  Phenotypic consequences of promoter-mediated transcriptional noise.

Authors:  William J Blake; Gábor Balázsi; Michael A Kohanski; Farren J Isaacs; Kevin F Murphy; Yina Kuang; Charles R Cantor; David R Walt; James J Collins
Journal:  Mol Cell       Date:  2006-12-28       Impact factor: 17.970

7.  Combinatorial transcriptional control of the lactose operon of Escherichia coli.

Authors:  Thomas Kuhlman; Zhongge Zhang; Milton H Saier; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2007-03-21       Impact factor: 11.205

8.  Tunability and noise dependence in differentiation dynamics.

Authors:  Gürol M Süel; Rajan P Kulkarni; Jonathan Dworkin; Jordi Garcia-Ojalvo; Michael B Elowitz
Journal:  Science       Date:  2007-03-23       Impact factor: 47.728

9.  Noise in gene expression determines cell fate in Bacillus subtilis.

Authors:  Hédia Maamar; Arjun Raj; David Dubnau
Journal:  Science       Date:  2007-06-14       Impact factor: 47.728

Review 10.  Regulation of noise in gene expression.

Authors:  Alvaro Sanchez; Sandeep Choubey; Jane Kondev
Journal:  Annu Rev Biophys       Date:  2013-03-21       Impact factor: 12.981

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  69 in total

1.  Effects of DNA replication on mRNA noise.

Authors:  Joseph R Peterson; John A Cole; Jingyi Fei; Taekjip Ha; Zaida A Luthey-Schulten
Journal:  Proc Natl Acad Sci U S A       Date:  2015-12-15       Impact factor: 11.205

Review 2.  Bacterial protein networks: properties and functions.

Authors:  Athanasios Typas; Victor Sourjik
Journal:  Nat Rev Microbiol       Date:  2015-08-10       Impact factor: 60.633

3.  Power-law tail in lag time distribution underlies bacterial persistence.

Authors:  Emrah Şimşek; Minsu Kim
Journal:  Proc Natl Acad Sci U S A       Date:  2019-08-19       Impact factor: 11.205

4.  Careful accounting of extrinsic noise in protein expression reveals correlations among its sources.

Authors:  John A Cole; Zaida Luthey-Schulten
Journal:  Phys Rev E       Date:  2017-06-27       Impact factor: 2.529

5.  Mechanical bounds to transcriptional noise.

Authors:  Stuart A Sevier; David A Kessler; Herbert Levine
Journal:  Proc Natl Acad Sci U S A       Date:  2016-11-22       Impact factor: 11.205

6.  Diverse Spatial Expression Patterns Emerge from Unified Kinetics of Transcriptional Bursting.

Authors:  Benjamin Zoller; Shawn C Little; Thomas Gregor
Journal:  Cell       Date:  2018-10-18       Impact factor: 41.582

Review 7.  RNA Localization in Bacteria.

Authors:  Jingyi Fei; Cynthia M Sharma
Journal:  Microbiol Spectr       Date:  2018-09

Review 8.  CRISPR Tools To Control Gene Expression in Bacteria.

Authors:  Antoine Vigouroux; David Bikard
Journal:  Microbiol Mol Biol Rev       Date:  2020-04-01       Impact factor: 11.056

9.  Stochastic Kinetics of Nascent RNA.

Authors:  Heng Xu; Samuel O Skinner; Anna Marie Sokac; Ido Golding
Journal:  Phys Rev Lett       Date:  2016-09-13       Impact factor: 9.161

Review 10.  Using synthetic biology to make cells tomorrow's test tubes.

Authors:  Hernan G Garcia; Robert C Brewster; Rob Phillips
Journal:  Integr Biol (Camb)       Date:  2016-03-08       Impact factor: 2.192

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