全球转录调节从时间解析单细胞RNA测序中的动态相关性中揭示出来
Dimitris Volteras1, Vahid Shahrezaei1, Philipp Thomas1
1Department of Mathematics, Faculty of Natural Sciences, Imperial College London, London, SW7 2AZ, UK.
这项研究引入了单细胞基因表达动态的新模型,揭示了细胞大小和细胞周期如何影响整个转录组的转录率和基因调节.
科学领域:
- 分子生物学分子生物学
- 系统生物学 系统生物学
- 计算生物学 计算生物学
背景情况:
- 单细胞转录组学显示了基因活性的细胞间变异性.
- 了解驱动单细胞转录动态的机制仍然是一个挑战.
- 静态快照限制了对动态基因表达过程的洞察力.
研究的目的:
- 开发一种用于生长和分裂单细胞中的基因表达动态的随机模型.
- 研究细胞大小和细胞周期对转录速率的影响.
- 确定驱动跨转录组的转录动态的全球机制.
主要方法:
- 利用时间单细胞RNA测序与代谢标记和细胞周期记者.
- 开发了一种可扩展的近似贝叶斯计算 (ABC) 方法来量化基因表达参数.
- 应用贝叶斯模型选择来分析整个转录组的转录动态.
主要成果:
- 在整个细胞周期中量化绝对爆发频率,爆发大小和降解率.
- 揭示了转录速率和细胞大小之间的缩放关系.
- 在整个细胞周期中确定了不同的基因调节波.
- 证明动态相关性的随机建模揭示了全球转录调节机制.
结论:
- 开发的随机模型和ABC方法能够准确量化基因表达参数.
- 细胞大小和细胞周期是全球转录动态的关键调节者.
- 单细胞数据的动态建模为基因调节的基本机制提供了洞察力.
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