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首页> 美国卫生研究院文献>International Journal of Molecular Sciences >Robustness in Regulatory Interaction Networks. A Generic Approach with Applications at Different Levels: Physiologic Metabolic and Genetic
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Robustness in Regulatory Interaction Networks. A Generic Approach with Applications at Different Levels: Physiologic Metabolic and Genetic

机译：监管互动网络的稳健性。通用方法在生理代谢和遗传等不同层面的应用

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Regulatory interaction networks are often studied on their dynamical side (existence of attractors, study of their stability). We focus here also on their robustness, that is their ability to offer the same spatiotemporal patterns and to resist to external perturbations such as losses of nodes or edges in the networks interactions architecture, changes in their environmental boundary conditions as well as changes in the update schedule (or updating mode) of the states of their elements (e.g., if these elements are genes, their synchronous coexpression mode versus their sequential expression). We define the generic notions of boundary, core, and critical vertex or edge of the underlying interaction graph of the regulatory network, whose disappearance causes dramatic changes in the number and nature of attractors (e.g., passage from a bistable behaviour to a unique periodic regime) or in the range of their basins of stability. The dynamic transition of states will be presented in the framework of threshold Boolean automata rules. A panorama of applications at different levels will be given: brain and plant morphogenesis, bulbar cardio-respiratory regulation, glycolytic/oxidative metabolic coupling, and eventually cell cycle and feather morphogenesis genetic control.
机译：调节相互作用网络通常在动力学方面进行研究（吸引子的存在，稳定性的研究）。我们在这里也将重点放在它们的鲁棒性上，即它们提供相同的时空模式并抵抗外部干扰的能力，例如网络交互体系结构中节点或边缘的丢失，其环境边界条件的更改以及更新的更改安排其元素状态的调度（或更新模式）（例如，如果这些元素是基因，则其同步共表达模式与顺序表达）。我们定义了监管网络的基础交互图的边界，核心和关键顶点或边缘的通用概念，这些概念的消失会引起吸引子的数量和性质发生巨大变化（例如，从双稳态行为转变为独特的周期性机制）或在其稳定范围之内。状态的动态转换将在阈值布尔自动机规则的框架中呈现。将给出不同级别的应用全景图：脑和植物的形态发生，延髓心脏呼吸调节，糖酵解/氧化代谢耦合以及最终的细胞周期和羽毛形态发生遗传控制。

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