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首页> 外文会议>24th IEEE International Conference ondvanced Information Networking and Applications Workshops >Evolution of the Genetic Regulatory Networks: The Example of the Cell Cycle Control Network From Gastrulation Modelling to Apocatagenesis
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Evolution of the Genetic Regulatory Networks: The Example of the Cell Cycle Control Network From Gastrulation Modelling to Apocatagenesis

机译：遗传调控网络的演变：细胞周期控制网络从胃建模到载脂催化的例子

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The regulatory genetic networks obtained from the evolution and dedicated to important cell physiologic functions like the control of the progression in the cell cycle are often obtained as random networks with some circuits in the core of the associated interactions graphs fed by an upper multi-rooted directed tree coming from sources which represent the controlling genes or microRNAs, and giving orders to a pending multi-rooted directed tree until leaves which express the ultimate proteins necessary at the control points of the cell growth and maturation. We show on this example that during the complexification of the living organisms (from worms to mammals passing through insects), the cell cycle is controlled by a genetic interactions graph, which has multiplied the roots of its upper tree, as well as the leaves of the pending tree as control points of the progression in the cycle; but this graph kept a core which conserved about the same dynamical properties. Certain genes or microRNAs sources of the graph are involved in mammals in negative retrocontrol loops allowing if necessary a modulation of their inhibitory control from the frontier of the graph. We will use this knowledge about the graph dynamics to study a simple model of the development of the primary digestive tube obtained during the gastrulation process. We conclude by proposing a model for the control of the compensatory proliferation after accidents of ageing leading to a functional and/or anatomic partial or total amputation of an organ, which requires a repair morphogenesis in order to obtain a restitutio in integrum, we will call homeogenesis at the organ level (i. e. respecting the organ homeostasis) or apocatagenesis at the cell level (i. e. compensating exactly the dead cells).
机译：从进化中获得并致力于重要的细胞生理功能（如控制细胞周期进展）的调控遗传网络通常是作为随机网络获得的，其中随机交互网络的上部交互作用是由多根有向有向引导的相关联的交互图的核心该树来自代表控制基因或microRNA的来源，并命令待处理的多根有向树直到叶表达在细胞生长和成熟控制点所需的最终蛋白质。我们在此示例中显示，在生物体（从蠕虫到通过昆虫的哺乳动物）复杂化的过程中，细胞周期受遗传相互作用图控制，该图将其上层树的根以及叶的根数相乘。待处理树作为循环中进度的控制点；但是该图保留了一个核心，该核心保留了相同的动力学特性。图中的某些基因或微RNA来源与哺乳动物处于负逆转录控制环中，如有必要，可从图的边界调整其抑制控制。我们将利用有关图动力学的知识来研究在消化过程中获得的初级消化管发育的简单模型。最后，我们提出了一个模型，该模型用于控制导致器官功能和/或解剖部分或全部截肢的衰老事故后的代偿性增生，该模型需要修复形态发生以获得完整的整形，我们将其称为在器官水平上的同质异生（即尊重器官的体内稳态）或在细胞水平上的致凋亡作用（即精确地补偿死细胞）。

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