Grabe Niels, Neuber Karsten
Center for Bioinformatics, University Hamburg, Bundesstrasse 43, 20146 Hamburg, Germany.
Bioinformatics. 2005 Sep 1;21(17):3541-7. doi: 10.1093/bioinformatics/bti585. Epub 2005 Jul 19.
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.
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.
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
系统生物学目前专注于整合细胞内网络，然而在临床上，疾病很大程度上是由其组织学特征定义的。例如，目前没有计算模型能够模拟水平分层表皮的形成。由于表皮是结构最复杂的上皮组织，系统生物学模型可能会在上皮组织中产生重要见解，而大多数人类癌症都起源于上皮组织。
我们描述了一个系统的算法，该系统能够模拟人类表皮中的组织稳态，从而形成具有不同分化阶段细胞的水平分层组织。该系统预测表皮形态、组织动力学以及钙离子的二维流动。将具有健康屏障和受损屏障的表皮的预测特性与文献进行了比较。该系统紧密模拟了相应的生理情况。
可在网站获取模拟的更多信息和影片。源代码可根据要求提供。http://www.zbh.uni-hamburg.de/research/ESB/index.php
