在可诱导的双稳定系统中,命运决定的动态过程
Sijing Chen1, Yanhong Sun1, Fengyu Zhang2
1The State Key Laboratory for Artificial Microstructures and Mesoscopic Physics, School of Physics, Peking University, Beijing, China.
Biophysical journal
|October 31, 2024
概括
基因调节网络和外部诱导时间表的延迟显著影响生物命运决策. 考虑这些动态过程,而不仅仅是稳定状态,对于理解分化轨迹和设计合成生物学系统至关重要.
科学领域:
- 系统生物学 系统生物学
- 计算生物学 计算生物学
- 分子生物学分子生物学
背景情况:
- 基因调节网络 (GRNs) 通过复杂的相互作用来控制生物命运的决定.
- 使用普通微分方程和稳定状态分析的数学模型提供了洞察力,但往往错过了短暂的生物现象.
- 现有的模型经常忽略动态过程,导致与实验观测的差异.
研究的目的:
- 研究基因调控步骤延迟对诱导性可比系统中命运决定的影响.
- 分析外部诱导时间尺度对动态分化过程的影响.
- 突出动态建模对生物系统中仅仅是稳态分析的重要性.
主要方法:
- 诱导性可比性基因调节网络的数学建模.
- 分析生化相互作用的不平等延迟的影响.
- 模拟不同外部诱导时间尺度的模拟.
主要成果:
- 稳定状态参数定义了整体命运决策格局.
- 不平等的延迟和诱导时间表导致差异化轨迹的偏差.
- 由于动态过程遗漏,出现了新的,持久的短暂分布.
结论:
- 动态过程,包括延迟和诱导时间表,对于准确建模生物命运决策至关重要.
- 仅仅依赖稳态分析可能导致对瞬态现象的不完全理解.
- 结果指导了对实验数据的改进解释和合成生物学中的未来动态建模.
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