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Bioinformatics Advance Access originally published online on July 19, 2005
Bioinformatics 2005 21(17):3541-3547; doi:10.1093/bioinformatics/bti585
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© The Author 2005. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions{at}oupjournals.org

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

Niels Grabe 1,* and Karsten Neuber 2

1Center for Bioinformatics, University Hamburg Bundesstrasse 43, 20146 Hamburg, Germany
2Department of Dermatology, University Hospital Hamburg-Eppendorf Martinistrasse 52, 20246 Hamburg, Germany

*To whom correspondence should be addressed.

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{at}zbh.uni-hamburg.de

Received on March 23, 2005; revised on May 26, 2005; accepted on July 14, 2005

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