高分辨率测序和建模识别了不同的动态RNA调节策略
Michal Rabani1, Raktima Raychowdhury2, Marko Jovanovic2
1The Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.
Cell
|December 16, 2014
概括
本研究介绍了DRiLL,这是一个计算框架来量化RNA动态. 它显示,虽然转录变化驱动大多数基因表达模式,但后转录调节提供了独特的信号处理特性.
科学领域:
- 分子生物学分子生物学
- 基因组学就是基因组学.
- 系统生物学 系统生物学
背景情况:
- 细胞通过涉及转录,处理和降解的综合策略来动态调节转录水平.
- 了解这些动态转变对于破译细胞反应和功能至关重要.
研究的目的:
- 开发和应用一个新的计算框架,DRiLL,用于RNA动态的高分辨率量化.
- 调查调控策略控制转录水平的变化在小鼠树突细胞的脂多糖化物 (LPS) 反应期间的调控策略.
主要方法:
- 整合RNA代谢标记,rRNA枯竭RNA测序 (RNA-seq) 和DRiLL计算框架.
- 在拼接连接分辨率下对转录水平,编辑站点以及转录,处理和降解率的量化.
- 在小鼠树突细胞中LPS反应期间分析基因表达模式.
主要成果:
- 确定了控制时间基因表达的四个关键调控策略,主要是由RNA转录的变化驱动的.
- 发现了利用基因子集的动态转录后调节的非正规策略,赋予了独特的信号处理能力.
- 作为一种非正规策略中的RNA降解的关键调节剂,验证了三烯 (TTP).
- 证明了DRiLL对非编码RNA调节和斑马鱼胚胎生成的广泛应用.
结论:
- DRiLL框架提供了一种强大的定量方法来剖析转录和转录后的监管事件.
- 动态后转录调节在特定的细胞信号通路中起着重要作用.
- 这项研究促进了对细胞如何管理转录组复杂性和动态基因表达的理解.
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