从ATAC-seq足迹数据中发现转录因子的非特征结合
Hendrik Schultheis1, Mette Bentsen1, Vanessa Heger1
1Bioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany.
Scientific reports
|April 23, 2024
概括
一个新的计算框架,DENIS,从基因组数据中发现了新的转录因子 (TF) 结合动机. 这促进了TF的识别,特别是在缺乏已知的动机的生物体中.
科学领域:
- 基因组学就是基因组学.
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
- 计算生物学 计算生物学
背景情况:
- 转录因子 (TFs) 动态调节基因表达.
- 使用ATAC-seq的数字基因足迹 (FP) 识别了TF绑定站点.
- 许多TF缺乏已知的DNA结合动机,限制了FP分析.
研究的目的:
- 介绍DENIS (DE Novo motIf diScovery),这是一个新的TF动机发现框架.
- 允许从没有已知的动机的FP中识别新型TF动机.
- 将TF活动分析扩展到具有有限模式数据库的生物体.
主要方法:
- 隔离FP缺乏已知的结合动机.
- 从这些FP中生成新的TF动机.
- 描述和验证新型图案的特点.
主要成果:
- 丹尼斯成功地重新发现了已知的TF图案,当人工移除时.
- 该框架量化了胚胎发育数据集中的de novo动机使用情况.
- 丹尼斯使用scATAC-seq数据揭示了斑马鱼血液形成中的TF活性.
结论:
- 丹尼斯增强了基因组足迹数据的TF动机发现.
- 该框架对于研究不同生物体和发育阶段的TF结合有价值.
- 丹尼斯将TF识别的范围扩展到已知的图案数据库之外.
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