Literature DB >> 11804235

A proliferation control network model: the simulation of two-dimensional epithelial homeostasis.

D Morel1, R Marcelpoil, G Brugal.   

Abstract

Despite the recent progress in the description of the molecular mechanisms of proliferation and differentiation controls in vitro, the regulation of the homeostasis of normal stratified epithelia remains unclear in vivo. Computer simulation represents a powerful tool to investigate the complex field of cell proliferation regulation networks. It provides huge computation capabilities to test, in a dynamic in silico context, hypotheses about the many pathways and feedback loops involved in cell growth and proliferation controls. Our approach combines a model of cell proliferation and a spatial representation of cells in 2D using the Voronoi graph. The cell proliferation model includes intracellular (cyclins, Cyclin Dependent Kinases - CDKs. Retinoblastoma protein - Rb, CDK inhibitors) and extracellular controls (growth and differentiation factors, integrins). The Voronoi graph associates a polygon with every cell and the set of these polygons defines the tissue architecture. Thus, the model provides a quantitative model of extracellular signals and cell motility as a function of the neighborhood during time dependent simulations. The 2D simulations illustrate the influence of the microenvironment on cell proliferation in basal layers of stratified epithelia and of differential adherence in keratinocytes differentiation and related upward migration. Our results particularly show the role of CDK inhibitors (mainly the protein p27) in the Rb dependent control pathway of the transition from the G1 to S phase of the cell cycle.

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Year:  2001        PMID: 11804235     DOI: 10.1023/a:1014201805222

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


  9 in total

1.  Development and validation of computational models of cellular interaction.

Authors:  R H Smallwood; W M L Holcombe; D C Walker
Journal:  J Mol Histol       Date:  2004-09       Impact factor: 2.611

2.  Crypt dynamics and colorectal cancer: advances in mathematical modelling.

Authors:  I M M van Leeuwen; H M Byrne; O E Jensen; J R King
Journal:  Cell Prolif       Date:  2006-06       Impact factor: 6.831

3.  An integrated systems biology approach to understanding the rules of keratinocyte colony formation.

Authors:  Tao Sun; Phil McMinn; Simon Coakley; Mike Holcombe; Rod Smallwood; Sheila Macneil
Journal:  J R Soc Interface       Date:  2007-12-22       Impact factor: 4.118

Review 4.  A review of spatial computational models for multi-cellular systems, with regard to intestinal crypts and colorectal cancer development.

Authors:  Giovanni De Matteis; Alex Graudenzi; Marco Antoniotti
Journal:  J Math Biol       Date:  2012-05-08       Impact factor: 2.259

5.  [Virtual microscopy in systems pathology].

Authors:  N Grabe
Journal:  Pathologe       Date:  2008-11       Impact factor: 1.011

Review 6.  Changes in cellular mechanical properties during onset or progression of colorectal cancer.

Authors:  Gabriele Ciasca; Massimiliano Papi; Eleonora Minelli; Valentina Palmieri; Marco De Spirito
Journal:  World J Gastroenterol       Date:  2016-08-28       Impact factor: 5.742

7.  Development of a three dimensional multiscale computational model of the human epidermis.

Authors:  Salem Adra; Tao Sun; Sheila MacNeil; Mike Holcombe; Rod Smallwood
Journal:  PLoS One       Date:  2010-01-14       Impact factor: 3.240

8.  Exploring hypotheses of the actions of TGF-beta1 in epidermal wound healing using a 3D computational multiscale model of the human epidermis.

Authors:  Tao Sun; Salem Adra; Rod Smallwood; Mike Holcombe; Sheila MacNeil
Journal:  PLoS One       Date:  2009-12-31       Impact factor: 3.240

9.  Agent based modelling helps in understanding the rules by which fibroblasts support keratinocyte colony formation.

Authors:  Tao Sun; Phil McMinn; Mike Holcombe; Rod Smallwood; Sheila MacNeil
Journal:  PLoS One       Date:  2008-05-07       Impact factor: 3.240

  9 in total

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