Literature DB >> 4923389

On the relation between effector concentration and the rate of induced enzyme synthesis.

G Yagil, E Yagil.   

Abstract

The Jacob and Monod scheme for the regulation of enzyme formation leads to the following relation between the relative rate of enzyme synthesis alpha and cellular effector concentration E (the lower sign is for repressible systems): log (alpha/1 - alpha - alpha(b)) = +/- n log [E] + log alpha(b) +/- log K(1). This equation permits linear plotting of experimental data and the evaluation of three quantities: n, the number of effector molecules combining with a repressor molecule, K(1), the dissociation constant of this interaction and K(2)/R(t), the ratio of repressor-operator dissociation constant to total repressor concentration. Measurements on the repression of alkaline phosphatase in Escherichia coli as a function of phosphate concentration are reported and fit the proposed equation with n = 1, indicating that the binding of a single phosphate to the repressor species may be sufficient to cause repression. K(1) of this interaction was found to be 0.58 +/-0.11 x 10(-3) M. The available data regarding the enzymes of the lac operon in a variety of E. coli strains, and several other enzymes are analyzed. It is confirmed that the lac repressor interacts with 2 isopropyl thiogalactoside (IPTG) molecules to relieve repression with a K(1) = 50 +/-20 x 10(-12) M(2). In some strains, separate binding constants for the first and second IPTG molecules can be evaluated.

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Year:  1971        PMID: 4923389      PMCID: PMC1484024          DOI: 10.1016/S0006-3495(71)86192-1

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  28 in total

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Journal:  J Bacteriol       Date:  1962-02       Impact factor: 3.490

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Authors:  F JACOB; J MONOD
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Authors:  J MONOD; A M PAPPENHEIMER; G COHEN-BAZIRE
Journal:  Biochim Biophys Acta       Date:  1952-12

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Review 8.  Enzymic adaptation in bacteria: its biochemical and genetic basis.

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Journal:  J Biol Chem       Date:  1966-10-10       Impact factor: 5.157

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Authors:  S Schlesinger; B Magasanik
Journal:  J Biol Chem       Date:  1965-11       Impact factor: 5.157

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  29 in total

1.  Reverse engineering gene networks using singular value decomposition and robust regression.

Authors:  M K Stephen Yeung; Jesper Tegnér; James J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2002-04-30       Impact factor: 11.205

2.  Feedback regulation in the lactose operon: a mathematical modeling study and comparison with experimental data.

Authors:  Necmettin Yildirim; Michael C Mackey
Journal:  Biophys J       Date:  2003-05       Impact factor: 4.033

3.  Structured model for cell growth and enzyme production by recombinant Escherichia coli.

Authors:  G Korte; U Rinas; H A Kracke-Helm; K Schügerl
Journal:  Appl Microbiol Biotechnol       Date:  1991-05       Impact factor: 4.813

4.  Influence of catabolite repression and inducer exclusion on the bistable behavior of the lac operon.

Authors:  Moisés Santillán; Michael C Mackey
Journal:  Biophys J       Date:  2004-03       Impact factor: 4.033

5.  Design of a bistable switch to control cellular uptake.

Authors:  Diego A Oyarzún; Madalena Chaves
Journal:  J R Soc Interface       Date:  2015-12-06       Impact factor: 4.118

6.  The qualitative dynamics of a class of biochemical control circuits.

Authors:  H G Othmer
Journal:  J Math Biol       Date:  1976-04-29       Impact factor: 2.259

7.  Piecewise-linear models of genetic regulatory networks: equilibria and their stability.

Authors:  Richard Casey; Hidde de Jong; Jean-Luc Gouzé
Journal:  J Math Biol       Date:  2005-09-29       Impact factor: 2.259

8.  Control of Streptococcus pyogenes virulence: modeling of the CovR/S signal transduction system.

Authors:  Alexander Y Mitrophanov; Gordon Churchward; Mark Borodovsky
Journal:  J Theor Biol       Date:  2006-11-21       Impact factor: 2.691

9.  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

10.  Comparison of deterministic and stochastic models of the lac operon genetic network.

Authors:  Michail Stamatakis; Nikos V Mantzaris
Journal:  Biophys J       Date:  2009-02       Impact factor: 4.033

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