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Computer Modeling Describes Gravity-Related Adaptation in Cell Cultures

机译:计算机建模描述了细胞培养中重力相关的适应

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摘要

Questions about the changes of biological systems in response to hostile environmental factors are important but not easy to answer. Often, the traditional description with differential equations is difficult due to the overwhelming complexity of the living systems. Another way to describe complex systems is by simulating them with phenomenological models such as the well-known evolutionary agent-based model (EABM). Here we developed an EABM to simulate cell colonies as a multi-agent system that adapts to hyper-gravity in starvation conditions. In the model, the cell's heritable characteristics are generated and transferred randomly to offspring cells. After a qualitative validation of the model at normal gravity, we simulate cellular growth in hyper-gravity conditions. The obtained data are consistent with previously confirmed theoretical and experimental findings for bacterial behavior in environmental changes, including the experimental data from the microgravity Atlantis and the Hypergravity 3000 experiments. Our results demonstrate that it is possible to utilize an EABM with realistic qualitative description to examine the effects of hypergravity and starvation on complex cellular entities.
机译:关于生物系统响应敌对环境因素而发生变化的问题很重要,但不容易回答。通常,由于生命系统的压倒性的复杂性,用微分方程式进行传统描述很困难。描述复杂系统的另一种方法是用现象学模型(例如众所周知的基于演化代理的模型(EABM))对其进行仿真。在这里,我们开发了一种EABM来模拟细胞集落,将其作为多代理系统来适应饥饿条件下的超重力环境。在该模型中,将生成细胞的遗传特性并将其随机转移到后代细胞中。在正常重力下对该模型进行定性验证后,我们模拟了超重力条件下的细胞生长。所获得的数据与先前确认的关于细菌在环境变化中的行为的理论和实验发现相一致,包括来自微重力亚特兰提斯和超重力3000实验的实验数据。我们的结果表明,可以利用具有实际定性描述的EABM来检查超重力和饥饿对复杂细胞实体的影响。

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