这是遗传的还是产生的? 推断蛋白质生产动力学当蛋白质计数是由细胞的分裂史形成时
Pedro Pessoa1,2, Juan Andres Martinez3, Vincent Vandenbroucke3
1Center for Biological Physics, Arizona State University, Tempe, AZ, USA.
ArXiv
|September 22, 2025
概括
由于遗传,分裂细胞中的蛋白质生产动力学是复杂的. 这项研究表明,酵母glc3基因在大多数情况下在压力下是不活跃的,短暂的,短暂的表达,使用先进的神经网络模型来分析光数据.
科学领域:
- 系统生物学 系统生物学
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 分裂细胞中的蛋白质生产动力学由于从母细胞遗传的蛋白质而难以推断.
- 用于基因激活评估的光测量可以被新合成和遗传蛋白质混,使分析复杂化.
- 细胞分裂史显著影响观察到的蛋白质水平,需要复杂的建模方法.
研究的目的:
- 开发和应用一种新的计算方法,以推断分裂细胞中的蛋白质生产动力学,并考虑细胞分裂史.
- 通过使用先进的推理技术,研究在营养限制条件下酵母glc3基因的表达动态.
- 在处理细胞分裂中的非马科夫过程时,克服传统基于概率的推断方法的局限性.
主要方法:
- 通过流细胞计利用快照光测量来监测反映酵母中的glc3促进体活性的GFP表达.
- 适应条件规范化流,神经网络模型的一类,以从模拟数据中近似计算难以处理的概率.
- 开发了一种方法来明确解释细胞分裂和蛋白质遗传的非马科夫效应,克服了标准主方程的局限性.
主要成果:
- 对流细胞测量数据的天真分析,忽略了细胞分裂,错误地表明普遍存在低水平的glc3基因活性.
- 先进的推断方法显示,在营养限制的压力条件下,glc3基因主要是不活跃的.
- 观察到偶尔的glc3基因激活,但发现表达是短暂的和短暂的,挑战以前的解释.
结论:
- 这项研究强调了考虑到细胞分裂史在推断蛋白质生产动态中的关键重要性.
- 条件规范化流提供了一个强大的工具,用于接近复杂的生物系统中难以处理的概率.
- 酵母glc3基因在压力下表现出主要是短暂的和低水平的活动,与更简单的分析相反.
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