标题： 基因网络模型中的几何约束与模式形成 显示英文标题

标题： Geometrical constraints in a gene network model and pattern formation

摘要： 发育生物学中的一个基本任务是确定驱动形态发生机制。 在许多情况下，模式形成是由母体因子的梯度和基因组中嵌入的硬编码机制确定的位置信息所驱动的。 对模式形成有贡献的位置信息的其他机制是来自周围组织的信号的影响。 在本文中，我们表明由组织形状施加的几何约束和硬编码机制之间的相互作用，通过基因网络模型进行计算实现，能够诱导出稳定的复杂模式。 这些模式的出现强烈依赖于几何约束，例如周围组织的形状。 显示英文摘要

摘要： A fundamental task in developmental biology is to identify the mechanisms which drive morphogenesis. In many cases, pattern formation is driven by the positional information determined by both the gradient of maternal factors and hard-wired mechanisms embedded in the genome. Alternative mechanisms of positional information that contribute to patterning are the influence of signals derived from surrounding tissues. In this paper, we show that the interplay of geometrical constraints imposed by tissue shapes and hard-wired mechanisms, computationally implemented by a gene network model, can able to induce stable complex patterns. The rise of these patterns depends strongly on the geometrical constraints such as the shape of the surrounding tissues.