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Bioinformatics Advance Access published online on July 19, 2005
Bioinformatics, 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@oupjournals.org
Received March 23, 2005
Revised May 26, 2005
Accepted July 14, 2005

Article

A multi-cellular systems biology model predicts epidermal morphology, kinetics, and Ca2+ flow

Niels Grabe 1* and Karsten Neuber 2

1 Center for Bioinformatics, University Hamburg, Bundesstr. 43, 20146 Hamburg, Germany
2 Department of Dermatology, University Clinic Hamburg-Eppendorf, Martinistr. 52, 20246 Hamburg, Germany

* To whom correspondence should be addressed.
Niels Grabe, E-mail: grabe{at}zbh.uni-hamburg.de


  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. As 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 to literature. The system closely mimics the respecting physiological situations.

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


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