Computer modeling describes gravity-related adaptation in cell cultures.
Computer modeling describes gravity-related adaptation in cell cultures.
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DOI：
10.1371/journal.pone.0008332
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发表时间：
2009-12-16
期刊：
影响因子：
3.7
通讯作者：
Usheva A
中科院分区：
文献类型：
--
作者：
Alexandrov LB;Alexandrova S;Usheva A
关于生物系统对不利环境因素的反应变化的问题很重要，但不容易回答。通常，由于生命系统的压倒性复杂性，传统的微分方程描述是困难的。另一种描述复杂系统的方法是用现象学模型来模拟它们，比如著名的基于进化代理的模型（EABM）。在这里，我们开发了一个EABM来模拟细胞集落作为一个多智能体系统，适应超重力饥饿条件。在该模型中，细胞的遗传特征被随机生成并转移到后代细胞。在正常重力下对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环境变化中细菌行为的理论和实验结果一致，包括微重力亚特兰蒂斯号和超重力3000实验的实验数据。我们的研究结果表明，这是可能的，利用EABM与现实的定性描述，检查超重力和饥饿对复杂的细胞实体的影响。
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.
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影响因子：
3.7
作者：
Sun T;McMinn P;Holcombe M;Smallwood R;MacNeil S
通讯作者：
MacNeil S
影响因子：
3.3
作者：
Saint-Ruf, C;Taddei, FO;Matic, I
通讯作者：
Matic, I
影响因子：
1
作者：
SCHELLING, TC
通讯作者：
SCHELLING, TC
影响因子：
64.8
作者：
Wilke, CO;Wang, JL;Adami, C
通讯作者：
Adami, C
DOI：
10.1073/pnas.082080899
发表时间：
2002-05-14
影响因子：
11.1
作者：
Bonabeau, E
通讯作者：
Bonabeau, E