在不同的随机基因激活框架下量化细胞命运变化
Xinxin Chen1, Ying Sheng1, Liang Chen1
1Guangzhou Center for Applied Mathematics Guangzhou University Guangzhou China.
Quantitative biology (Beijing, China)
|February 12, 2026
概括
细胞命运决定取决于基因转录水平. 这项研究引入了一种转录值模型,表明基因上调可以抑制细胞命运变化,噪音可以双向影响细胞命运.
科学领域:
- * 分子生物学 * 分子生物学
- * 系统生物学 系统生物学
- * 生物物理 生物物理
背景情况:
- *基因转录本质上是随机的,导致相同细胞中的mRNA水平波动.
- * 了解转录变异性如何影响细胞命运,在单细胞生物学中至关重要.
- *以前的模型分析了转录动态,但需要扩展复杂的基因激活框架.
研究的目的:
- *将基因转录概率 (J_I) 的数学框架扩展到更复杂的基因激活模型.
- * 调查关键基因上调对细胞命运决定的影响.
- *分析转录噪声在调节细胞命运变化的双重作用.
主要方法:
- * 开发和分析了超出经典电报模型的复杂基因激活模型.
- * 计算了一个细胞达到特定的转录值 (I) 的概率 (J_I).
- * 经过验证的模型预测,使用来自细菌,酵母和哺乳动物细胞的实验数据.
主要成果:
- * 发现关键基因上调可显著抑制细胞命运过渡.
- *转录噪声表现出双向效应,可以促进或抑制细胞命运变化.
- *从各种细胞数据中成功估计了转录值 (I).
结论:
- * 这项研究提供了一个精细的模型,可以根据转录动态来预测细胞命运承诺.
- *研究结果表明,高剂量的HIV激活剂可能会抑制病毒的活性.
- *细胞可以根据生存的环境压力动态调整基因调节噪声.
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