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

机译:多细胞系统生物学模型可预测表皮形态,动力学和Ca2 +流量

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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.
机译:动机:系统生物学目前集中在整合细胞内网络,尽管在临床上,疾病很大程度上取决于其组织学特征。例如,今天没有任何计算模型可以模拟水平分层的表皮的形成。由于表皮是最复杂的结构化上皮组织,因此系统生物学模型可能会在上皮组织中产生重要的见解,其中大多数人类癌症都会出现。结果:我们描述了一种能够模拟人表皮组织稳态的系统算法。导致具有不同分化阶段细胞的水平分层组织。该系统可预测表皮形态,组织动力学和Ca2 +离子的二维流动。将具有健康屏障和被破坏屏障的表皮的预测特性与文献进行了比较。该系统紧密模拟了尊重的生理状况。

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