Literature DB >> 12051971

Analysis of protein homeostatic regulatory mechanisms in perturbed environments at steady state.

Christopher Sewell1, Jeffrey J Morgan, Paul A Lindahl.   

Abstract

Nine different protein homeostatic regulatory mechanisms were analysed for their ability to maintain a generic protein P within a specified range of a set-point steady-state concentration while perturbed by external processes that altered the rates at which P was produced and/or consumed. Steady state regulatory effectiveness was defined by the area within a rectangular region of "perturbation space", where axes correspond to rates of positive and negative perturbations. The size of this region differed in accordance with the regulatory elements composing the homeostatic mechanism. Such elements included basic negative feedback control of transcription (in which P, at some high concentration relative to its set-point value, binds to the gene G that encodes it, thereby inhibiting transcription), multiple sequential binding of a feedback effector (two P's bind sequentially to G), and dimerization of a feedback effector (a P(2) dimer binds to G). Two homeostatic mechanisms included a cascade structure, one with and one without translational feedback control. Another mechanism included feedback control of P degradation. Finally, two mechanisms illustrated the limits of regulatory systems. One lacked all regulatory elements (and included only an invariant rate of P synthesis and degradation) while the other assumed perfect (Boolean) regulation, in which transcription is completely inhibited at [P]>[P](sp) and is fully active at [P]<[P](sp). All of the systems evaluated are known, but the analytical expressions developed here allow quantitative comparisons between them. These expressions were evaluated at values typical of the average protein in Escherichia coli. A method for building regulatory networks by linking semi-independent regulatory modules is discussed. Copyright 2002 Elsevier Science Ltd. All rights reserved.

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Year:  2002        PMID: 12051971     DOI: 10.1006/jtbi.2001.2536

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  3 in total

1.  Recovery of mrs3Δmrs4Δ Saccharomyces cerevisiae Cells under Iron-Sufficient Conditions and the Role of Fe580.

Authors:  Michael J Moore; Joshua D Wofford; Andrew Dancis; Paul A Lindahl
Journal:  Biochemistry       Date:  2018-01-04       Impact factor: 3.162

2.  Biophysical investigation of the iron in Aft1-1(up) and Gal-YAH1 Saccharomyces cerevisiae.

Authors:  Ren Miao; Gregory P Holmes-Hampton; Paul A Lindahl
Journal:  Biochemistry       Date:  2011-02-28       Impact factor: 3.162

3.  Dose response relationship in anti-stress gene regulatory networks.

Authors:  Qiang Zhang; Melvin E Andersen
Journal:  PLoS Comput Biol       Date:  2006-12-22       Impact factor: 4.475

  3 in total

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