用普通微分方程测量酵母细胞分裂中的调控网络遗传
Wenbin Wu1, Taylor Kennedy2, Orlando Arguello-Miranda2
1Department of Statistics, University of Washington.
bioRxiv : the preprint server for biology
|July 9, 2025
概括
我们开发了ODEinherit,这是一种使用普通微分方程 (ODEs) 来量化细胞分裂过程中遗传的蛋白质调节量的新方法. 这一框架揭示了细胞世代间遗传的显著差异.
科学领域:
- 细胞生物学 细胞生物学
- 系统生物学 系统生物学
- 定量生物学的定量生物学.
背景情况:
- 在不对称的细胞分裂过程中蛋白质调节的继承是复杂的,缺乏正式的数学定义.
- 了解这种遗传对于预测细胞命运和应激反应至关重要.
研究的目的:
- 引入ODEinherit,这是一个用于量化细胞分裂期间蛋白质调节网络遗传的新型统计框架.
- 为了解决测量母细胞调节网络中的多少传递给子细胞的挑战.
主要方法:
- 使用普通微分方程 (ODEs) 来估计细胞特异性调节网络.
- 结合非振荡轨迹和网络密度的调整.
- 通过评估母细胞网络对子细胞轨迹的解释能力来量化遗传.
主要成果:
- ODEinherit准确地量化了继承,精确的测量取决于网络密度调整.
- 在模拟数据上进行基准标记,并应用于活细胞显微镜85个分裂的S. cerevisiae细胞.
- 在母女细胞对中发现了遗传率的实质性异质性.
结论:
- ODEinherit提供了一种可靠的方法来量化蛋白质调节遗传.
- 观察到的异质性对理解细胞应激反应和细胞命运预测有影响.
- 这一框架为研究跨细胞世代遗传开辟了新的途径.
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