Computational Biology Group, School of Computer Science and Software Engineering, Faculty of Engineering, Computing and Mathematics, The University of Western Australia, 35 Stirling Highway, Crawley, WA 6009, Australia.
J Theor Biol. 2010 Nov 7;267(1):106-20. doi: 10.1016/j.jtbi.2010.08.013. Epub 2010 Aug 13.
Liver cell aggregates may be grown in vitro by co-culturing hepatocytes with stellate cells. This method results in more rapid aggregation than hepatocyte-only culture, and appears to enhance cell viability and the expression of markers of liver-specific functions. We consider the early stages of aggregate formation, and develop a new mathematical model to investigate two alternative hypotheses (based on evidence in the experimental literature) for the role of stellate cells in promoting aggregate formation. Under Hypothesis 1, each population produces a chemical signal which affects the other, and enhanced aggregation is due to chemotaxis. Hypothesis 2 asserts that the interaction between the two cell types is by direct physical contact: the stellates extend long cellular processes which pull the hepatocytes into the aggregates. Under both hypotheses, hepatocytes are attracted to a chemical they themselves produce, and the cells can experience repulsive forces due to overcrowding. We formulate non-local (integro-partial differential) equations to describe the densities of cells, which are coupled to reaction-diffusion equations for the chemical concentrations. The behaviour of the model under each hypothesis is studied using a combination of linear stability analysis and numerical simulations. Our results show how the initial rate of aggregation depends upon the cell seeding ratio, and how the distribution of cells within aggregates depends on the relative strengths of attraction and repulsion between the cell types. Guided by our results, we suggest experiments which could be performed to distinguish between the two hypotheses.
肝实质细胞可以通过与星状细胞共培养在体外生长。与仅培养肝实质细胞相比,这种方法导致更快的聚集,并且似乎增强了细胞活力和肝特异性功能标志物的表达。我们考虑了聚集形成的早期阶段,并开发了一个新的数学模型来研究星状细胞在促进聚集形成中的两种替代假设(基于实验文献中的证据)。在假设 1 下,每个群体产生一种影响另一种群体的化学信号,并且增强的聚集是由于趋化性。假设 2 断言两种细胞类型之间的相互作用是通过直接的物理接触:星状细胞伸出长长的细胞过程,将肝实质细胞拉入聚集物中。在这两种假设下,肝实质细胞被它们自身产生的化学物质所吸引,并且细胞可能由于过度拥挤而经历排斥力。我们制定了非局部(积分偏微分)方程来描述细胞密度,这些密度与化学浓度的反应扩散方程耦合。使用线性稳定性分析和数值模拟的组合研究了模型在每种假设下的行为。我们的结果表明,聚集的初始速率如何取决于细胞播种比,以及细胞在聚集物内的分布如何取决于细胞类型之间的吸引力和排斥力的相对强度。根据我们的结果,我们建议进行一些实验,以区分这两种假设。