Literature DB >> 18274863

A general formalism for tissue morphogenesis based on cellular dynamics and control system interactions.

Loïc Forest1, Jacques Demongeot.   

Abstract

Morphogenesis is a key process in developmental biology. An important issue is the understanding of the generation of shape and cellular organisation in tissues. Despite of their great diversity, morphogenetic processes share common features. This work is an attempt to describe this diversity using the same formalism based on a cellular description. Tissue is seen as a multi-cellular system whose behaviour is the result of all constitutive cells dynamics. Morphogenesis is then considered as a spatiotemporal organization of cells activities. We show how this formalism relies on Reaction-Diffusion/Positional Information approach and how it permits to generalize its modelling possibilities. Three quite different applications for concrete morphogenetic processes are presented. The first one is a model for epithelial invagination, the second is a model of cellular differentiation by local cell-cell signalling. The last example is the secondary radial growth of conifer trees. From the mathematical point of view, different modelling tools are used according to the specificity of each process.

Mesh:

Year:  2008        PMID: 18274863     DOI: 10.1007/s10441-008-9030-4

Source DB:  PubMed          Journal:  Acta Biotheor        ISSN: 0001-5342            Impact factor:   1.774


  2 in total

1.  Understanding physiological and degenerative natural vision mechanisms to define contrast and contour operators.

Authors:  Jacques Demongeot; Yannick Fouquet; Muhammad Tayyab; Nicolas Vuillerme
Journal:  PLoS One       Date:  2009-06-23       Impact factor: 3.240

2.  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
Journal:  Int J Mol Sci       Date:  2009-11-20       Impact factor: 6.208

  2 in total

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