基因组链接:深度学习预测玉米基因组中的3D染色质相互作用
Luca Schlegel1, Rohan Bhardwaj1, Yadollah Shahryary1
1TUM School of Life Sciences, Plant Epigenomics, Technical University of Munich, Freising, 85354, Germany.
NAR genomics and bioinformatics
|September 25, 2024
概括
基因组链接是一个深度学习模型,识别了DNA序列特征,可以预测玉米中的3D染色质相互作用. 转录因子结合基因,特别是bHLH,是这些相互作用的关键,影响基因调节.
科学领域:
- 植物基因组学 植物基因组学
- 分子生物学分子生物学
- 生物信息学是一种生物信息学.
背景情况:
- 细胞核中的基因调节受核内的3D染色质组织的影响.
- cis调节元件和目标基因之间的远距离相互作用是常见的,许多农业特征的因果位置与非编码元件相关.
- 植物中染色质环形成的机制在很大程度上仍未被探索.
研究的目的:
- 为了确定DNA序列特征,预测玉米中的3D染色质相互作用.
- 了解特定序列特征在调解远程调节相互作用中的作用.
- 开发植物中染色质相互作用的预测模型.
主要方法:
- 通过使用玉米DNA序列数据,训练了一种深度学习模型GenomicLinks.
- 确定了序列特征,包括与染色体相互作用相关的转录因子结合动机.
- 在基突变发生过程中使用,以评估移除动机对相互作用概率的影响.
- 使用来自不同玉米基因型的单细胞共同可访问性数据验证的预测.
主要成果:
- 特定的转录因子结合基因的存在,特别是bHLH,预测了玉米中的染色质相互作用特异性.
- 在中去除这些图案显著降低了预测的染色质相互作用概率.
- 实验验证证了玉米基因型中TF结合基因的自然变异对染色质可访问性的作用.
结论:
- 转录因子结合基因是玉米3D染色质相互作用和基因调节的关键决定因素.
- 基因组链接模型为剖析植物中的调节机制提供了有价值的工具.
- 基因组链接的开源可用性将有助于植物研究社区的努力.
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