哺乳动物转录网络中介病原体反应的无偏重建
Ido Amit1, Manuel Garber, Nicolas Chevrier
1Broad Institute of MIT and Harvard, 7 Cambridge Center, Cambridge, MA 02142, USA.
概括
研究人员开发了一种新的方法,用于绘制哺乳动物细胞中基因表达调节网络的地图. 这种无偏见的方法确定了控制细胞对病原体反应的关键调节者,进步了我们对免疫系统功能的理解.
科学领域:
- 免疫学 免疫学 免疫学
- 系统生物学 系统生物学
- 基因组学就是基因组学.
背景情况:
- 哺乳动物基因表达调节网络对于细胞功能至关重要,但往往缺乏实验验证.
- 基因组数据已经使得这些网络的推断成为可能,但系统验证仍然是一个挑战.
研究的目的:
- 制定和应用一个公正的战略,系统地扰乱候选监管机构和监测转录反应.
- 构建一个验证的调节网络,控制小鼠初级树突细胞对病原体的转录反应.
主要方法:
- 在小鼠初级树突细胞中对候选调节者的系统性干扰.
- 使用基因组数据监测细胞转录反应.
- 基于实验验证的基因调控网络模型的构建.
主要成果:
- 确定了125种转录因子,染色质修饰剂和RNA结合蛋白的调节功能.
- 构建了一个包含24个核心调节器和76个微调器的网络模型.
- 网络模型解释了病原体感应通路的特异性.
结论:
- 建立了一个广泛适用的,全面的,公正的方法来揭示监管网络的布线和功能.
- 开发的方法对于理解原生哺乳动物细胞的主要转录反应至关重要.
- 这项工作为剖析复杂的细胞调节系统提供了经过验证的框架.
相关概念视频
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