Literature DB >> 12779451

Multistationarity, the basis of cell differentiation and memory. I. Structural conditions of multistationarity and other nontrivial behavior.

R. Thomas1, M. Kaufman.   

Abstract

A biological introduction serves to remind us that differentiation is an epigenetic process, that multistationarity can account for epigenetic differences, including those involved in cell differentiation, and that positive feedback circuits are a necessary condition for multistationarity and, by inference, for differentiation. The core of the paper is comprised of a formal description of feedback circuits and unions of disjoint circuits. We introduce the concepts of full-circuit (a circuit or union of disjoint circuits which involves all the variables of the system), and of ambiguous circuit (a circuit whose sign depends on the location in phase space). We describe the partition of phase space (a) according to the signs of the ambiguous circuits, and (b) according to the signs of the eigenvalues or their real part. We introduce a normalization of the system versus one of the circuits; in two variables, this permits an entirely general description in terms of a common diagram in the "circuit space." The paper ends with general statements concerning the requirements for multistationarity, stable periodicity, and deterministic chaos. (c) 2001 American Institute of Physics.

Year:  2001        PMID: 12779451     DOI: 10.1063/1.1350439

Source DB:  PubMed          Journal:  Chaos        ISSN: 1054-1500            Impact factor:   3.642


  55 in total

1.  Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems.

Authors:  David Angeli; James E Ferrell; Eduardo D Sontag
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-06       Impact factor: 11.205

2.  Simplification and its consequences in biological modelling: conclusions from a study of calcium oscillations in hepatocytes.

Authors:  James P J Hetherington; Anne Warner; Robert M Seymour
Journal:  J R Soc Interface       Date:  2006-04-22       Impact factor: 4.118

3.  Graph-theoretic methods for the analysis of chemical and biochemical networks. I. Multistability and oscillations in ordinary differential equation models.

Authors:  Maya Mincheva; Marc R Roussel
Journal:  J Math Biol       Date:  2007-05-31       Impact factor: 2.259

4.  Positive-feedback loops as a flexible biological module.

Authors:  Nicholas T Ingolia; Andrew W Murray
Journal:  Curr Biol       Date:  2007-03-29       Impact factor: 10.834

5.  Identification of feedback loops embedded in cellular circuits by investigating non-causal impulse response components.

Authors:  Chao-Yi Dong; Tae-Woong Yoon; Declan G Bates; Kwang-Hyun Cho
Journal:  J Math Biol       Date:  2009-03-31       Impact factor: 2.259

6.  The role of dynamic stimulation pattern in the analysis of bistable intracellular networks.

Authors:  Thomas Millat; Sree N Sreenath; Radina P Soebiyanto; Jayant Avva; Kwang-Hyun Cho; Olaf Wolkenhauer
Journal:  Biosystems       Date:  2008-04-04       Impact factor: 1.973

7.  On the impact of the distance between two genes on their interaction curve.

Authors:  Siamak Taati; Enrico Formenti; Jean-Paul Comet; Gilles Bernot
Journal:  J Math Biol       Date:  2011-02-15       Impact factor: 2.259

8.  The logic of EGFR/ErbB signaling: theoretical properties and analysis of high-throughput data.

Authors:  Regina Samaga; Julio Saez-Rodriguez; Leonidas G Alexopoulos; Peter K Sorger; Steffen Klamt
Journal:  PLoS Comput Biol       Date:  2009-08-07       Impact factor: 4.475

Review 9.  Logic-based models for the analysis of cell signaling networks.

Authors:  Melody K Morris; Julio Saez-Rodriguez; Peter K Sorger; Douglas A Lauffenburger
Journal:  Biochemistry       Date:  2010-04-20       Impact factor: 3.162

10.  Adaptable functionality of transcriptional feedback in bacterial two-component systems.

Authors:  J Christian J Ray; Oleg A Igoshin
Journal:  PLoS Comput Biol       Date:  2010-02-12       Impact factor: 4.475

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