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A multicellular systems biology model predicts epidermal morphology, kinetics and Ca2+ flow

Bioinformatics. 2005 Sep 1;21(17):3541-7. doi: 10.1093/bioinformatics/bti585. Epub 2005 Jul 19.

Abstract

Motivation: Systems biology is currently focused on integrating intracellular networks, although clinically, diseases are largely defined by their histological features. For example, no computational model can simulate today the formation of a horizontally layered epidermis. Since the epidermis is the most complex structured epithelial tissue, systems biology models could yield important insights in epithelial tissue, in which most of all human cancers arise.

Results: We describe the algorithms of a system, capable of simulating the tissue homeostasis in human epidermis leading to a horizontally layered tissue with cells of different differentiation stages. The system predicts epidermal morphology, tissue kinetics and 2D flow of Ca2+ ions. Predicted properties of an epidermis with a healthy and a disturbed barrier are compared with the literature. The system closely mimics the respecting physiological situations.

Availability: Additional information and films of the simulation are available at the website. Source code is available on request. http://www.zbh.uni-hamburg.de/research/ESB/index.php

Contact: grabe@zbh.uni-hamburg.de

Publication types

  • Evaluation Study
  • Validation Study

MeSH terms

  • Algorithms*
  • Calcium / metabolism*
  • Cell Differentiation
  • Cell Proliferation
  • Cells, Cultured
  • Computer Simulation
  • Epidermal Cells*
  • Epidermis / physiology*
  • Humans
  • Kinetics
  • Models, Biological*
  • Systems Biology / methods

Substances

  • Calcium