Literature DB >> 21730194

Quantitative dissection of the simple repression input-output function.

Hernan G Garcia1, Rob Phillips.   

Abstract

We present a quantitative case study of transcriptional regulation in which we carry out a systematic dialogue between theory and measurement for an important and ubiquitous regulatory motif in bacteria, namely, that of simple repression. This architecture is realized by a single repressor binding site overlapping the promoter. From the theory point of view, this motif is described by a single gene regulation function based upon only a few parameters that are convenient theoretically and accessible experimentally. The usual approach is turned on its side by using the mathematical description of these regulatory motifs as a predictive tool to determine the number of repressors in a collection of strains with a large variation in repressor copy number. The predictions and corresponding measurements are carried out over a large dynamic range in both expression fold change (spanning nearly four orders of magnitude) and repressor copy number (spanning about two orders of magnitude). The predictions are tested by measuring the resulting level of gene expression and are then validated by using quantitative immunoblots. The key outcomes of this study include a systematic quantitative analysis of the limits and validity of the input-output relation for simple repression, a precise determination of the in vivo binding energies for DNA-repressor interactions for several distinct repressor binding sites, and a repressor census for Lac repressor in Escherichia coli.

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Year:  2011        PMID: 21730194      PMCID: PMC3141941          DOI: 10.1073/pnas.1015616108

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  46 in total

1.  DNA looping and physical constraints on transcription regulation.

Authors:  José M G Vilar; Stanislas Leibler
Journal:  J Mol Biol       Date:  2003-08-29       Impact factor: 5.469

2.  Quantitative kinetic analysis of the bacteriophage lambda genetic network.

Authors:  Oren Kobiler; Assaf Rokney; Nir Friedman; Donald L Court; Joel Stavans; Amos B Oppenheim
Journal:  Proc Natl Acad Sci U S A       Date:  2005-02-22       Impact factor: 11.205

3.  Stochastic protein expression in individual cells at the single molecule level.

Authors:  Long Cai; Nir Friedman; X Sunney Xie
Journal:  Nature       Date:  2006-03-16       Impact factor: 49.962

4.  Probing the limits to positional information.

Authors:  Thomas Gregor; David W Tank; Eric F Wieschaus; William Bialek
Journal:  Cell       Date:  2007-07-13       Impact factor: 41.582

5.  Promoters largely determine the efficiency of repressor action.

Authors:  M Lanzer; H Bujard
Journal:  Proc Natl Acad Sci U S A       Date:  1988-12       Impact factor: 11.205

6.  Quantitative model for gene regulation by lambda phage repressor.

Authors:  G K Ackers; A D Johnson; M A Shea
Journal:  Proc Natl Acad Sci U S A       Date:  1982-02       Impact factor: 11.205

7.  Global analysis of protein expression in yeast.

Authors:  Sina Ghaemmaghami; Won-Ki Huh; Kiowa Bower; Russell W Howson; Archana Belle; Noah Dephoure; Erin K O'Shea; Jonathan S Weissman
Journal:  Nature       Date:  2003-10-16       Impact factor: 49.962

8.  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

9.  Proteome-wide cellular protein concentrations of the human pathogen Leptospira interrogans.

Authors:  Johan Malmström; Martin Beck; Alexander Schmidt; Vinzenz Lange; Eric W Deutsch; Ruedi Aebersold
Journal:  Nature       Date:  2009-07-15       Impact factor: 49.962

10.  Programming gene expression with combinatorial promoters.

Authors:  Robert Sidney Cox; Michael G Surette; Michael B Elowitz
Journal:  Mol Syst Biol       Date:  2007-11-13       Impact factor: 11.429

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  56 in total

1.  Exploring the Dynamics and Mutational Landscape of Riboregulation with a Minimal Synthetic Circuit in Living Cells.

Authors:  Guillermo Rodrigo; Eszter Majer; Satya Prakash; José-Antonio Daròs; Alfonso Jaramillo; Juan F Poyatos
Journal:  Biophys J       Date:  2015-09-01       Impact factor: 4.033

2.  Comparison of the theoretical and real-world evolutionary potential of a genetic circuit.

Authors:  M Razo-Mejia; J Q Boedicker; D Jones; A DeLuna; J B Kinney; R Phillips
Journal:  Phys Biol       Date:  2014-04-01       Impact factor: 2.583

3.  Quantitation of the DNA tethering effect in long-range DNA looping in vivo and in vitro using the Lac and λ repressors.

Authors:  David G Priest; Lun Cui; Sandip Kumar; David D Dunlap; Ian B Dodd; Keith E Shearwin
Journal:  Proc Natl Acad Sci U S A       Date:  2013-12-16       Impact factor: 11.205

4.  Combinatorial Gene Regulation through Kinetic Control of the Transcription Cycle.

Authors:  Clarissa Scholes; Angela H DePace; Álvaro Sánchez
Journal:  Cell Syst       Date:  2016-12-29       Impact factor: 10.304

5.  Modulation of DNA loop lifetimes by the free energy of loop formation.

Authors:  Yi-Ju Chen; Stephanie Johnson; Peter Mulligan; Andrew J Spakowitz; Rob Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-19       Impact factor: 11.205

6.  Scaling of gene expression with transcription-factor fugacity.

Authors:  Franz M Weinert; Robert C Brewster; Mattias Rydenfelt; Rob Phillips; Willem K Kegel
Journal:  Phys Rev Lett       Date:  2014-12-16       Impact factor: 9.161

7.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration.

Authors:  Mattias Rydenfelt; Robert Sidney Cox; Hernan Garcia; Rob Phillips
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2014-01-06

Review 8.  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

9.  Deciphering the regulatory genome of Escherichia coli, one hundred promoters at a time.

Authors:  William T Ireland; Suzannah M Beeler; Emanuel Flores-Bautista; Nicholas S McCarty; Tom Röschinger; Nathan M Belliveau; Michael J Sweredoski; Annie Moradian; Justin B Kinney; Rob Phillips
Journal:  Elife       Date:  2020-09-21       Impact factor: 8.140

10.  Operator sequence alters gene expression independently of transcription factor occupancy in bacteria.

Authors:  Hernan G Garcia; Alvaro Sanchez; James Q Boedicker; Melisa Osborne; Jeff Gelles; Jane Kondev; Rob Phillips
Journal:  Cell Rep       Date:  2012-07-12       Impact factor: 9.423

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