对染色体间相互作用网络的系统识别支持了专门的RNA工厂的存在
Borislav Hrisimirov Hristov1, William Stafford Noble1,2, Alessandro Bertero3
1Department of Genome Sciences, University of Washington, Seattle, Washington 98195, USA.
Genome research
|September 25, 2024
概括
一种新的计算方法,trans-C,识别了染色体间 (跨) 接触,揭示了参与RNA生物发生的基因可以形成称为跨相互作用染色体域 (TID) 的三维结构. 这推动了我们对基因组组织的理解.
科学领域:
- 基因组学就是基因组学.
- 分子生物学分子生物学
- 计算生物学 计算生物学
背景情况:
- 基因组组织研究主要侧重于染色体内 (cis) 接触,忽视染色体间 (trans) 接触.
- 缺乏计算工具阻碍了对生物相关的转基因结构的研究.
- 了解跨接触对于全面了解基因组架构至关重要.
研究的目的:
- 开发一个计算框架,trans-C,用于识别使用Hi-C数据在trans中共同相互作用的位置集.
- 为了研究合调基因形成三维"RNA工厂"以实现高效的RNA生物发生的假设.
- 探索跨作用元素和DNA结合蛋白在基因组组织中的作用.
主要方法:
- 开发trans-C,一个使用概率随机步行与Hi-C接触网络重启的计算框架.
- 通过在Plasmodium falciparum,小鼠嗅觉受体和人类RBM20中使用已确定的跨接触来验证trans-C.
- 应用trans-C来分析对调节的基因,DNA结合蛋白和跨相互作用之间的关系.
主要成果:
- 在不同的生物模型中,Trans-C成功地识别了跨接触点的集合.
- 许多具有共享DNA结合蛋白位点的位点,特别是那些具有内在无序域的位点,在转移中相互作用.
- 聚类结合RNA结合蛋白与编码位点的跨相互作用相关,通常在核斑点附近.
结论:
- 这些发现支持由RNA生物发生驱动的跨相互作用色素域 (TID) 的存在.
- 跨C提供了一个有效的计算工具,用于研究跨相互作用和基因组架构.
- 这项工作为了解染色体间基因组组织的鲜为人知的方面开辟了新的途径.
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