聚合的ChIP-Seq将转录因子与复杂疾病风险的变化联系在一起
Ashley K Tehranchi1, Marsha Myrthil2, Trevor Martin1
1Department of Biology, Stanford University, Stanford, CA 94305, USA.
Cell
|April 19, 2016
概括
这项研究引入了一种具有成本效益的方法来绘制影响转录因子 (TF) 结合的遗传变异. 这些发现揭示了遗传变异如何影响基因调节和染色体结构,可能解释人类的特征和疾病.
科学领域:
- 基因组学
- 分子生物学
- 表观遗传学
背景情况:
- 识别改变转录因子 (TF) 结合的遗传变异对于理解基因调节至关重要.
- 全基因组关联研究 (GWAS) 将遗传变异与疾病联系起来,但分子机制往往不清楚.
研究的目的:
- 开发和应用一种成本效益高的基于聚合的方法来绘制TF结合的定量特征位置 (QTL).
- 研究基因变异对TF结合,染色体结构和染色体结构的影响.
主要方法:
- 开发了一种基于聚合的策略,用于分子特征的定量特征位置 (QTL) 映射.
- 应用该方法对五个转录因子和一个基因组修饰的cis-acting QTL进行映射.
- 将成本效益与标准QTL映射技术进行比较.
主要成果:
- 与标准方法相比,成功地绘制了成千上万的cis-acting QTL,成本降低了25倍.
- 发现单个基因变异经常影响多个TF的结合,CTCF招募了五个TF.
- 观察到这些QTLs影响局部染色体和转录,并影响长距离染色体接触.
结论:
- 遗传变异在塑造染色体结构和基因调节方面发挥着重要作用.
- 通过这种方法发现的TF结合变异为GWAS涉及的疾病基因提供了候选分子机制.
- TF结合的变化可能是人类表型变化的基础.
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