Walker Dawn, Wood Steven, Southgate Jennifer, Holcombe Mike, Smallwood Rodney
Department of Computer Science, Kroto Institute, North Campus, Broad Lane, Sheffield S3 7HQ, UK.
J Theor Biol. 2006 Oct 7;242(3):774-89. doi: 10.1016/j.jtbi.2006.04.020. Epub 2006 May 9.
We have previously developed Epitheliome, a software agent representation of the growth and repair characteristics of epithelial cell populations, where cell behaviour is governed by a number of simple rules. In this paper, we describe how this model has been extended to incorporate an example of a molecular 'mechanism' behind a rule-in this case, how signalling by both endogenous and exogenous ligands of the epidermal growth factor receptor (EGFR) can impact on the proliferation of cell agents. We have developed a mathematical model representing release of endogenous ligand by cells, three-dimensional diffusion of the secreted molecules through a volume of cell culture medium, ligand-receptor binding, and bound receptor internalization and trafficking. Information relating to quantities of molecular species associated with each cell agent is frequently exchanged between the agent and signalling models, and the ratio of bound to free receptors determines cell cycle progression and hence the proliferative behaviour of the cell agents. We have applied this integrated model to examine the effect of plating density on tissue growth via autocrine/paracrine signalling. This predicts that cell growth is dependent on the concentration of exogenous ligand, but where this is limited, then growth becomes dependent on cell density and the availability of endogenous ligand. We have further modified the calcium concentration of the medium to modulate the formation of intercellular bonds between cells and shown that the increased propensity for cells to form colonies in physiological calcium does not result in significantly different patterns of receptor occupancy. In conclusion, our approach demonstrates that by combining agent-based and mathematical modelling paradigms, it is possible to probe the complex feedback relationship between the behaviour of individual cells and their interaction with one another and their environment.
我们之前开发了Epitheliome,这是一种上皮细胞群体生长和修复特征的软件代理表示,其中细胞行为受一些简单规则支配。在本文中,我们描述了该模型如何扩展以纳入一条规则背后的分子“机制”示例——在这种情况下,表皮生长因子受体(EGFR)的内源性和外源性配体的信号传导如何影响细胞代理的增殖。我们开发了一个数学模型,该模型表示细胞释放内源性配体、分泌分子在一定体积的细胞培养基中的三维扩散、配体 - 受体结合以及结合受体的内化和运输。与每个细胞代理相关的分子种类数量的信息在代理和信号传导模型之间频繁交换,并且结合受体与游离受体的比例决定细胞周期进程,从而决定细胞代理的增殖行为。我们应用这个整合模型来研究接种密度通过自分泌/旁分泌信号传导对组织生长的影响。这预测细胞生长取决于外源性配体的浓度,但在其有限的情况下,生长则取决于细胞密度和内源性配体的可用性。我们进一步改变培养基的钙浓度以调节细胞间键的形成,并表明细胞在生理钙浓度下形成集落的倾向增加并不会导致受体占据模式有显著差异。总之,我们的方法表明,通过结合基于代理的建模范式和数学建模范式,可以探究单个细胞行为与其相互作用以及与环境之间复杂的反馈关系。