Literature DB >> 15652148

High-dimensional switches and the modelling of cellular differentiation.

Olivier Cinquin1, Jacques Demongeot.   

Abstract

Many genes have been identified as driving cellular differentiation, but because of their complex interactions, the understanding of their collective behaviour requires mathematical modelling. Intriguingly, it has been observed in numerous developmental contexts, and particularly haematopoiesis, that genes regulating differentiation are initially co-expressed in progenitors despite their antagonism, before one is upregulated and others downregulated. We characterise conditions under which three classes of generic "master regulatory networks", modelled at the molecular level after experimentally observed interactions (including bHLH protein dimerisation), and including an arbitrary number of antagonistic components, can behave as a "multi-switch", directing differentiation in an all-or-none fashion to a specific cell-type chosen among more than two possible outcomes. bHLH dimerisation networks can readily display coexistence of many antagonistic factors when competition is low (a simple characterisation is derived). Decision-making can be forced by a transient increase in competition, which could correspond to some unexplained experimental observations related to Id proteins; the speed of response varies with the initial conditions the network is subjected to, which could explain some aspects of cell behaviour upon reprogramming. The coexistence of antagonistic factors at low levels, early in the differentiation process or in pluripotent stem cells, could be an intrinsic property of the interaction between those factors, not requiring a specific regulatory system.

Mesh:

Year:  2004        PMID: 15652148     DOI: 10.1016/j.jtbi.2004.10.027

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


  20 in total

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2.  A Mathematical Framework for Understanding Four-Dimensional Heterogeneous Differentiation of CD4+ T Cells.

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3.  A model for genetic and epigenetic regulatory networks identifies rare pathways for transcription factor induced pluripotency.

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Review 4.  Systems biology of stem cell fate and cellular reprogramming.

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Review 5.  Purpose and regulation of stem cells: a systems-biology view from the Caenorhabditis elegans germ line.

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7.  A general model for binary cell fate decision gene circuits with degeneracy: indeterminacy and switch behavior in the absence of cooperativity.

Authors:  Mircea Andrecut; Julianne D Halley; David A Winkler; Sui Huang
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8.  Interplay between path and speed in decision making by high-dimensional stochastic gene regulatory networks.

Authors:  Nuno R Nené; Alexey Zaikin
Journal:  PLoS One       Date:  2012-07-16       Impact factor: 3.240

9.  Robustness in regulatory interaction networks. A generic approach with applications at different levels: physiologic, metabolic and genetic.

Authors:  Jacques Demongeot; Hedi Ben Amor; Adrien Elena; Pierre Gillois; Mathilde Noual; Sylvain Sené
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10.  Computational modeling of the hematopoietic erythroid-myeloid switch reveals insights into cooperativity, priming, and irreversibility.

Authors:  Vijay Chickarmane; Tariq Enver; Carsten Peterson
Journal:  PLoS Comput Biol       Date:  2009-01-23       Impact factor: 4.475

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