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首页> 外文期刊>Journal of Mathematical Biology >Spatio-temporal pattern formation on spherical surfaces: numerical simulation and application to solid tumour growth
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Spatio-temporal pattern formation on spherical surfaces: numerical simulation and application to solid tumour growth

机译:球形表面时空图案的形成:数值模拟及其在实体瘤生长中的应用

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In this paper we examine spatio-temporal pattern formation in reaction-diffusion systems on the surface of the unit sphere in 3D. We first generalise the usual linear stability analysis for a two-chemical system to this geometrical context. Noting the limitations of this approach (in terms of rigorous prediction of spatially heterogeneous steady-states) leads us to develop, as an alternative, a novel numerical method which can be applied to systems of any dimension with any reaction kinetics. This numerical method is based on the method of lines with spherical harmonics and uses fast Fourier transforms to expedite the computation of the reaction kinetics. Numerical experiments show that this method efficiently computes the evolution of spatial patterns and yields numerical results which coincide with those predicted by linear stability analysis when the latter is known. Using these tools, we then investigate the role that pre-pattern (Turing) theory may play in the growth and development of solid rumours. The theoretical steady-stale distributions of two chemicals (one a growth activating factor, the other a growth inhibitory factor) are compared with the experimentally and clinically observed spatial heterogeneity of cancer cells in small. solid spherical tumours such as multicell spheroids and carcinomas. Moreover, we suggest a number of chemicals which are known to be produced by rumour cells (autocrine growth factors). and are also known to interact with one another. as possible growth promoting and growth inhibiting factors respectively. In order to connect more concretely the numerical method to this application, we compute spatially heterogeneous patterns on the surface of a growing spherical tumour, modelled as a moving-boundary problem. The numerical results strongly support the theoretical expectations in this case. Finally in an appendix we give a brief analysis of the numerical method. [References: 81]
机译:在本文中,我们研究了3D单位球表面上反应扩散系统中的时空图案形成。我们首先将针对这种化学情况的两化学系统的一般线性稳定性分析进行了概括。注意到这种方法的局限性(就空间异质稳态的严格预测而言)使我们开发出一种新的数值方法,该方法可以应用于具有任何反应动力学的任何尺寸的系统。该数值方法基于具有球谐函数的直线方法,并使用快速傅里叶变换来加快反应动力学的计算。数值实验表明,该方法有效地计算了空间格局的演变,并产生了与线性稳定性分析所预测的结果相吻合的数值结果。然后,使用这些工具,研究前模式(图灵)理论可能在坚实的谣言的成长和发展中发挥的作用。将两种化学物质(一种是生长激活因子,另一种是生长抑制因子)的理论稳态分布与实验和临床观察到的癌细胞空间异质性进行了比较。实体球形肿瘤,例如多细胞球体和癌。此外,我们建议已知由谣言细胞(自分泌生长因子)产生的许多化学物质。并且彼此之间也相互作用。分别作为促进生长和抑制生长的因素。为了将数值方法更具体地连接到此应用程序,我们计算了正在生长的球形肿瘤表面上的空间异质性模式,并建模为移动边界问题。数值结果强烈支持这种情况下的理论预期。最后,在附录中,我们对数值方法进行了简要分析。 [参考:81]

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