Literature DB >> 19631220

One is not enough.

Robert Daber1, Kim Sharp, Mitchell Lewis.   

Abstract

In both prokaryotic and eukaryotic organisms, repressors and activators are responsible for regulating gene expression. The lac operon is a paradigm for understanding how metabolites function as signaling molecules and modulate transcription. These metabolites or allosteric effector molecules bind to the repressor and alter the conformational equilibrium between the induced and the repressed states. Here, we describe a set of experiments where we modified a single inducer binding site in a dimeric repressor and examined its effect on induction. Based upon these observations, we have been able to calculate the thermodynamic parameters that are responsible for the allosteric properties that govern repressor function. Understanding how effector molecules alter the thermodynamic properties of the repressor is essential for establishing a detailed understanding of gene regulation.

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Year:  2009        PMID: 19631220      PMCID: PMC2760156          DOI: 10.1016/j.jmb.2009.07.050

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  18 in total

1.  ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.

Authors:  J MONOD; J WYMAN; J P CHANGEUX
Journal:  J Mol Biol       Date:  1965-05       Impact factor: 5.469

2.  Genetic regulatory mechanisms in the synthesis of proteins.

Authors:  F JACOB; J MONOD
Journal:  J Mol Biol       Date:  1961-06       Impact factor: 5.469

3.  Integrated insights from simulation, experiment, and mutational analysis yield new details of LacI function.

Authors:  Liskin Swint-Kruse; Hongli Zhan; Kathleen Shive Matthews
Journal:  Biochemistry       Date:  2005-08-23       Impact factor: 3.162

Review 4.  The lactose repressor system: paradigms for regulation, allosteric behavior and protein folding.

Authors:  C J Wilson; H Zhan; L Swint-Kruse; K S Matthews
Journal:  Cell Mol Life Sci       Date:  2007-01       Impact factor: 9.261

5.  Structural analysis of lac repressor bound to allosteric effectors.

Authors:  Robert Daber; Steven Stayrook; Allison Rosenberg; Mitchell Lewis
Journal:  J Mol Biol       Date:  2007-04-19       Impact factor: 5.469

Review 6.  Lac repressor genetic map in real space.

Authors:  H C Pace; M A Kercher; P Lu; P Markiewicz; J H Miller; G Chang; M Lewis
Journal:  Trends Biochem Sci       Date:  1997-09       Impact factor: 13.807

7.  Inhibition of transcription initiation by lac repressor.

Authors:  P J Schlax; M W Capp; M T Record
Journal:  J Mol Biol       Date:  1995-01-27       Impact factor: 5.469

8.  Ligand-induced conformational changes and conformational dynamics in the solution structure of the lactose repressor protein.

Authors:  Marc Taraban; Hongli Zhan; Andrew E Whitten; David B Langley; Kathleen S Matthews; Liskin Swint-Kruse; Jill Trewhella
Journal:  J Mol Biol       Date:  2007-11-28       Impact factor: 5.469

9.  Arginine 197 of lac repressor contributes significant energy to inducer binding. Confirmation of homology to periplasmic sugar binding proteins.

Authors:  R O Spotts; A E Chakerian; K S Matthews
Journal:  J Biol Chem       Date:  1991-12-05       Impact factor: 5.157

10.  Quality and position of the three lac operators of E. coli define efficiency of repression.

Authors:  S Oehler; M Amouyal; P Kolkhof; B von Wilcken-Bergmann; B Müller-Hill
Journal:  EMBO J       Date:  1994-07-15       Impact factor: 11.598

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  12 in total

1.  In vivo tests of thermodynamic models of transcription repressor function.

Authors:  Sudheer Tungtur; Harlyn Skinner; Hongli Zhan; Liskin Swint-Kruse; Dorothy Beckett
Journal:  Biophys Chem       Date:  2011-06-15       Impact factor: 2.352

2.  Thermodynamic analysis of mutant lac repressors.

Authors:  Robert Daber; Matthew A Sochor; Mitchell Lewis
Journal:  J Mol Biol       Date:  2011-04-01       Impact factor: 5.469

3.  Positions 94-98 of the lactose repressor N-subdomain monomer-monomer interface are critical for allosteric communication.

Authors:  Hongli Zhan; Maricela Camargo; Kathleen S Matthews
Journal:  Biochemistry       Date:  2010-09-08       Impact factor: 3.162

4.  A tale of two repressors.

Authors:  Mitchell Lewis
Journal:  J Mol Biol       Date:  2011-03-15       Impact factor: 5.469

Review 5.  Biomolecular Assemblies: Moving from Observation to Predictive Design.

Authors:  Corey J Wilson; Andreas S Bommarius; Julie A Champion; Yury O Chernoff; David G Lynn; Anant K Paravastu; Chen Liang; Ming-Chien Hsieh; Jennifer M Heemstra
Journal:  Chem Rev       Date:  2018-10-03       Impact factor: 60.622

6.  Statistical Mechanics of Allosteric Enzymes.

Authors:  Tal Einav; Linas Mazutis; Rob Phillips
Journal:  J Phys Chem B       Date:  2016-04-29       Impact factor: 2.991

7.  FRET studies of a landscape of Lac repressor-mediated DNA loops.

Authors:  Aaron R Haeusler; Kathy A Goodson; Todd D Lillian; Xiaoyu Wang; Sachin Goyal; Noel C Perkins; Jason D Kahn
Journal:  Nucleic Acids Res       Date:  2012-02-04       Impact factor: 16.971

8.  Tuning Transcriptional Regulation through Signaling: A Predictive Theory of Allosteric Induction.

Authors:  Manuel Razo-Mejia; Stephanie L Barnes; Nathan M Belliveau; Griffin Chure; Tal Einav; Mitchell Lewis; Rob Phillips
Journal:  Cell Syst       Date:  2018-03-21       Impact factor: 10.304

9.  An Autogenously Regulated Expression System for Gene Therapeutic Ocular Applications.

Authors:  Matthew A Sochor; Vidyullatha Vasireddy; Theodore G Drivas; Adam Wojno; Thu Doung; Ivan Shpylchak; Jeannette Bennicelli; Daniel Chung; Jean Bennett; Mitchell Lewis
Journal:  Sci Rep       Date:  2015-11-24       Impact factor: 4.379

10.  In vitro transcription accurately predicts lac repressor phenotype in vivo in Escherichia coli.

Authors:  Matthew Almond Sochor
Journal:  PeerJ       Date:  2014-07-29       Impact factor: 2.984

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