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增殖细胞中的随机基因表达:单细胞和群体视角上的不同噪声强度
Zhanhao Zhang1, Iryna Zabaikina2,3, Cesar Nieto1
1Department of Electrical and Computer Engineering, University of Delaware, Newark, Delaware, United States of America.
PLoS computational biology
|June 10, 2025
概括
基因表达噪声在单细胞和群体研究之间存在差异. 人口研究更多地放大了噪音,特别是带有正反和细胞分裂变异,可能低估了真正的基因产品变异性.
科学领域:
- 系统生物学 系统生物学
- 分子生物学分子生物学
- 遗传学 是一个遗传学.
背景情况:
- 基因表达噪声对于细胞功能和适应至关重要.
- 现有两个主要框架:单细胞时间缩短和人口快照分析.
- 这些框架之间的差异可能会影响生物学解释.
研究的目的:
- 系统地研究不同的生物过程如何影响基因表达噪声测量.
- 为了比较从单细胞与基于人口的分析中获得的噪声水平.
- 确定人口分析可能高估或低估噪声的条件.
主要方法:
- 开发并分析了一种包含分子爆发的随机模型.
- 由于细胞生长和正反循环,研究了蛋白质稀释.
- 研究了在线粒分裂过程中分子随机分割的影响.
- 在单细胞 (时间) 和群体 (横截面) 视角分析噪声.
主要成果:
- 积极的反会放大基因表达噪声,在人口框架中观察到的放大幅度明显更高.
- 在人口框架中,细胞分裂期间随机分子分裂的噪音被细胞周期持续时间的变化放大.
- 单细胞噪声测量在分区噪声的背景下独立于细胞周期持续时间的变化.
- 单细胞框架可以低估在增殖细胞群中的基因产物噪声.
结论:
- 分析框架的选择 (单细胞与群体) 显著影响基因表达噪声的估计.
- 基于人群的分析可能对某些噪声源比较敏感,例如细胞分裂的变异性.
- 这些发现对于理解基因表达的细胞间变异至关重要,特别是在影响细胞生长的压力反应中.
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