由miR-125b调节的复杂的p53动态在细胞对反应性氧化应激和DNA损伤的反应中
Md Zubbair Malik1, Mohammed Dashti1, Amit Jangid2
1Department of Translational Research, Dasman Diabetes Institute, Dasman 15462, Kuwait City, Kuwait.
Briefings in bioinformatics
|January 17, 2025
概括
这项研究模拟了miR-125b-p53调节网络,揭示了五种不同的p53动态,这些动态影响了在压力下细胞命运决策. 这些动态对于细胞来说至关重要,可以整合信号并确定像亡这样的结果.
科学领域:
- 系统生物学 系统生物学
- 分子和细胞动力学
- 生化网络建模生物化学网络建模
背景情况:
- 细胞命运是由p53动态决定的,这种动态随细胞应激而变化.
- 不同的压力可以产生类似的p53动态,但不同的细胞命运结果.
- 微RNA-125b (miR-125b),p53和活性氧物种 (ROS) 之间的相互作用对应激反应和亡至关重要,但miR-125b-p53的调节机制仍然不清楚.
研究的目的:
- 为了研究miR-125b对p53动态的调节机制.
- 分析miR-125b-p53调节网络的动态行为.
- 了解细胞如何整合动态信息,在压力下决定细胞命运.
主要方法:
- 使用11个分子物种和22个反应通道,构建了miR-125b-p53调节系统的生物化学网络模型.
- 该模型是由基于质量作用定律的合普通微分方程 (ODE) 表示的.
- 使用第四阶Runge-Kutta方法来分析系统动态,获得了数值解决方案.
主要成果:
- 由miR-125b调节的p53动态表现出五种不同的状态:两个稳定状态,两个动态状态和持续的振荡状态.
- 这些状态与细胞条件相关,从弱激活 (恢复正常) 到强激活和潜在的亡.
- p53的动态表现出具有分层,无尺度网络特征的多分位特征;观察到显著的miR-125b活动与轻微的ROS激活.
结论:
- 该miR-125b-p53网络模型阐明了细胞如何将信号通路与时间动态集成,以编码应激特异性.
- 由miR-125b驱动的独特的p53动态状态可以导致不同的细胞命运决定,包括细胞亡.
- 这些发现强调了动态信息整合对细胞应激反应和细胞命运调节的重要性,即使没有直接的ROS测量.
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