Literature DB >> 7703920

Dynamical behaviour of biological regulatory networks--I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state.

R Thomas1, D Thieffry, M Kaufman.   

Abstract

In the field of biological regulation, models dictated by experimental work are usually complex networks comprising intertwined feedback loops. In this paper the biological roles of individual positive loops (multistationarity, differentiation) and negative loops (homeostasis, with or without oscillations, buffering of gene dosage effect) are discussed. The relationship between feedback loops and steady states is then clarified, and the problem: "How can one conveniently disentangle complex networks?" is then considered. Initiated long ago, logical descriptions have been generalized from various viewpoints; these developments are briefly discussed. The recent concept of the loop-characteristic state, defined as the logical state located at the level of the thresholds involved in the loop, together with its application, are then presented. Biological applications are also discussed.

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Year:  1995        PMID: 7703920     DOI: 10.1007/bf02460618

Source DB:  PubMed          Journal:  Bull Math Biol        ISSN: 0092-8240            Impact factor:   1.758


  10 in total

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Journal:  J Theor Biol       Date:  1973-12       Impact factor: 2.691

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Journal:  J Theor Biol       Date:  1973-04       Impact factor: 2.691

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Journal:  J Theor Biol       Date:  1969-03       Impact factor: 2.691

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Journal:  Proc Natl Acad Sci U S A       Date:  1970-07       Impact factor: 11.205

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Authors:  R Thomas
Journal:  J Theor Biol       Date:  1978-08-21       Impact factor: 2.691

10.  Explanation for different types of regulation of arginine biosynthesis in Escherichia coli B and Escherichia coli K12 caused by a difference between their arginine repressors.

Authors:  G Tian; D Lim; J D Oppenheim; W K Maas
Journal:  J Mol Biol       Date:  1994-01-07       Impact factor: 5.469

  10 in total
  95 in total

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Journal:  Proc Natl Acad Sci U S A       Date:  2003-10-06       Impact factor: 11.205

Review 2.  Nonlinearity in the epidemiology of complex health and disease processes.

Authors:  P Philippe; O Mansi
Journal:  Theor Med Bioeth       Date:  1998-12

Review 3.  Dynamical systems approach to endothelial heterogeneity.

Authors:  Erzsébet Ravasz Regan; William C Aird
Journal:  Circ Res       Date:  2012-06-22       Impact factor: 17.367

4.  Predicting neuroblastoma using developmental signals and a logic-based model.

Authors:  Jennifer C Kasemeier-Kulesa; Santiago Schnell; Thomas Woolley; Jennifer A Spengler; Jason A Morrison; Mary C McKinney; Irina Pushel; Lauren A Wolfe; Paul M Kulesa
Journal:  Biophys Chem       Date:  2018-04-30       Impact factor: 2.352

5.  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

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Authors:  Yung-Keun Kwon; Kwang-Hyun Cho
Journal:  Biophys J       Date:  2007-01-26       Impact factor: 4.033

7.  Synchronizing genetic relaxation oscillators by intercell signaling.

Authors:  David McMillen; Nancy Kopell; Jeff Hasty; J J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

Review 8.  Approach of the functional evolution of duplicated genes in Saccharomyces cerevisiae using a new classification method based on protein-protein interaction data.

Authors:  Christine Brun; Alain Guénoche; Bernard Jacq
Journal:  J Struct Funct Genomics       Date:  2003

9.  Kinetic logic: a tool for describing the dynamics of infectious disease behavior.

Authors:  Claire Martinet-Edelist
Journal:  J Cell Mol Med       Date:  2004 Apr-Jun       Impact factor: 5.310

10.  Emotion: The Self-regulatory Sense.

Authors:  Katherine T Peil
Journal:  Glob Adv Health Med       Date:  2014-03
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