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随机基因网络和人口动态之间的反使细胞能够做出决定
1Department of Mathematics, Imperial College London, London, UK.
Science advances
|May 24, 2024
概括
细胞噪声导致基因相同的细胞具有不同的繁殖成功,影响细胞决策. 我们的模型量化了这种选择,揭示了对强大的细胞行为和适应至关重要的权衡.
科学领域:
- 系统生物学 系统生物学
- 细胞动力学细胞动力学
- 定量生物学 定量生物学
背景情况:
- 现型选择是由细胞噪声驱动的,在遗传相同的细胞中产生不同的繁殖成功.
- 来自蛋白质合成波动的细胞噪声对于细胞决策,应激反应和药物耐药性至关重要.
研究的目的:
- 为不断增长的种群开发一种基于随机代理的一般模型,将基因表达与细胞分裂动态联系起来.
- 设计一种有限状态投影方法来分析基因表达和分裂分布.
- 从单细胞数据推断选择并量化多稳定基因表达网络中的选择.
主要方法:
- 对不断增长的细胞群的基于随机代理的建模.
- 用于分析基因表达和分裂分布的有限态投影.
- 使用母机和血统树实验从单细胞数据中推断选择.
主要成果:
- 多稳定基因表达网络中的量化选择.
- 证明了表型切换和选择之间的权衡能够实现可靠的决策.
- 提供了对Escherichia coli*中对DNA损伤和抗生素适应的投注对冲反应的定量见解.
结论:
- 开发的理论和推理方法为细胞决策和适应提供了定量洞察力.
- 现型切换和选择之间的权衡对于强大的合成电路和发育过程至关重要.
- 这种方法阐明了应对环境挑战的注策略,如DNA损伤和抗生素压力.
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