在单个哺乳动物细胞中控制转录变异性
Nico Battich1, Thomas Stoeger1, Lucas Pelkmans2
1Faculty of Sciences, Institute of Molecular Life Sciences, University of Zurich, 8006 Zurich, Switzerland; Systems Biology PhD Program, Life Science Zurich Graduate School, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland.
细胞的变异性主要是可预测的, 而不是随机的. 核过程缓冲基因表达噪声,确保细胞质转录在人体细胞中的丰度稳定性.
科学领域:
- 细胞和分子生物学
- 基因组学
- 系统生物学
背景情况:
- 了解细胞间的变异性对于生物学来说至关重要.
- 区分基因表达中的随机性和决定性因素是一个关键挑战.
研究的目的:
- 调查单个人类细胞中细胞质转录丰度变化的来源.
- 要确定这种变化的程度是随机与可预测的.
主要方法:
- 在数百万个单个人体细胞上利用基于图像的转录学.
- 开发了整合表型状态和人口背景的多变量模型.
- 运用计算多重组来分析数百个基因.
- 进行数学建模和实验验证.
主要成果:
- 大多数基因的细胞质转录丰度可变性很大,但最小的随机性.
- 结合细胞状态和环境的预测模型准确地预测了转录水平.
- 一个复杂的监管系统控制着转录丰度的变化.
- 核保留和转录传输缓冲转录噪声.
结论:
- 细胞分离,特别是在细胞核内,对于缓冲基因表达噪声至关重要.
- 这种核缓冲防止细胞质转录噪声影响单细胞转录丰度控制.
- 基因表达的变化在很大程度上是基于细胞状态的决定性和可预测性.
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