论文标题
确定形态学系统中最佳信息整合的相图结构
Identifying the phase diagram structure for optimal information integration in morphogen systems
论文作者
论文摘要
基因调节网络（GRNS）执行广泛的生物学功能。但是，从自下而上的角度来看，以传统的方式透露透露局面的方法是揭示其功能机制通常具有挑战性的。在这里，我们将自上而下的方法基于最佳理论来研究形态学系统中的信息整合，并表明最佳整合策略提出了GRN的相图而不是拓扑结构的要求。对于早期苍蝇胚胎中的形态学系统，我们的无参数模型可以定量预测模式位置在形态学双子体的剂量变化上转移。
Gene regulatory networks (GRNs) perform a wide range of biological functions. It is, however, often challenging to reveal their functioning mechanism with the conventional approach focusing on the network topological structure from a bottom-up perspective. Here, we apply the top-down approach based on the optimality theory to study the information integration in morphogen systems, and show that the optimal integration strategy raises requirement on the phase diagram, rather than the topological structure, of a GRN. For the morphogen system in early fly embryos, our parameter-free model can quantitatively predict the patterning position shifts upon the dosage change of the morphogen Bicoid.
