人类调节网络的架构来源于ENCODE数据.
Mark B Gerstein1,2,3, Anshul Kundaje4, Manoj Hariharan5
1Program in Computational Biology and Bioinformatics, Yale University, Bass 432, 266 Whitney Avenue, New Haven, CT 06520, USA.
Nature
|September 8, 2012
概括
这项研究绘制了人类转录因子网络的地图,揭示了特定上下文的绑定和层次组织. 对基因调节的这些见解是理解人类生物学和疾病的关键.
科学领域:
- 基因组学就是基因组学.
- 系统生物学 系统生物学
- 分子生物学分子生物学
背景情况:
- 基因调节依赖于转录因子,以特定的组合结合DNA.
- 了解人类的转录调节网络对于破译细胞功能和疾病至关重要.
研究的目的:
- 为绘制119个人类转录因子的基因组结合图.
- 分析这些因素的组合结合模式和网络特性.
主要方法:
- 进行了450多项实验,以确定转录因子基因组结合信息.
- 将绑定数据组织成一个层次网络,并将其与其他基因组数据集成,如microRNA调节.
主要成果:
- 鉴定了转录因子的特定情境的组合结合,与基因近距离不同.
- 揭示了一个层次化的网络结构,其中顶层因素影响表达,中层因素减轻瓶.
- 发现了丰富的网络图案,例如噪声缓冲前循环.
- 发现高度连接的网络组件处于更强的选择之下,并表现出异位基因特异性活动.
结论:
- 人类的转录性调节网络表现出复杂的,取决于背景的组织.
- 这个详细的监管地图为解释个人基因组和理解人类生物学和疾病提供了基础.
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