Literature DB >> 12957115

Robust development as a consequence of generated positional information.

Chikara Furusawa1, Kunihiko Kaneko.   

Abstract

The origin and robustness of morphogenesis are studied by dynamical system modeling of a cell society, in which cells possessing internal chemical reaction dynamics interact with each other through their mutual interaction with diffusive chemicals in a two-dimensional medium. It is found that stem-type cells differentiate into various cell types (where a cell 'type' is defined by a type of intra-cellular dynamics) due to a dynamic instability caused by cell-cell interactions in a manner described by the isologous diversification theory. The differentiations are spatially regulated by the concentration of chemicals in the medium, while the chemical concentrations are locally influenced by the intra-cell dynamics. Through this reciprocal relationship, chemical concentrations come to exhibit spatial variation as differentiated cell types begin to emerge, and as a result the regulation exercised by the chemical concentrations become spatially inhomogeneous. This reinforces the process of differentiation, through which spatial patterns of differentiated cells appear. Within this reciprocal relationship, the concentration gradients are read and interpreted by the cell as positional information. A spatial order of cells realized in this process represents a stable state of the system governed by this reciprocal relationship, and that the developmental process through which this state is realized is robust with respect to perturbations. The dependence of the morphogenesis on history and the community effect in cell differentiation are also discussed.

Mesh:

Year:  2003        PMID: 12957115     DOI: 10.1016/s0022-5193(03)00189-9

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


  4 in total

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Authors:  Lionel Dupuy; Jonathan Mackenzie; Tim Rudge; Jim Haseloff
Journal:  Ann Bot       Date:  2007-10-07       Impact factor: 4.357

Review 2.  Morphogenetic fields in embryogenesis, regeneration, and cancer: non-local control of complex patterning.

Authors:  Michael Levin
Journal:  Biosystems       Date:  2012-04-20       Impact factor: 1.973

3.  Predicting pancreas cell fate decisions and reprogramming with a hierarchical multi-attractor model.

Authors:  Joseph Xu Zhou; Lutz Brusch; Sui Huang
Journal:  PLoS One       Date:  2011-03-14       Impact factor: 3.240

4.  Chaotic expression dynamics implies pluripotency: when theory and experiment meet.

Authors:  Chikara Furusawa; Kunihiko Kaneko
Journal:  Biol Direct       Date:  2009-05-15       Impact factor: 4.540

  4 in total

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