形状ME:一种工具和网络前端,用于重新发现支蛋白质-DNA相互作用的结构动机
Jeremy W Schroeder1, Michael B Wolfe2, Lydia Freddolino1,3
1Department of Biological Chemistry, University of Michigan, Ann Arbor, MI 48109, USA.
bioRxiv : the preprint server for biology
|February 20, 2025
概括
发现DNA结构动机是理解基因调节的关键. 一个名为ShapeME的新工具集成了DNA形状和序列数据来识别这些基因,在某些蛋白质上表现优于传统方法,并改善了对DNA结合偏好的预测.
科学领域:
- 基因组学和分子生物学
- 生物信息学和计算生物学
背景情况:
- 了解转录调节器结合部位对于基因表达调节至关重要.
- 传统的位置重量矩阵 (PWM) 在预测DNA结合偏好方面存在局限性,因为它们假定基独立.
- 虽然序列动机模型得到了改进,但结合DNA结构特征为增强的结合预测提供了一个有希望的途径.
研究的目的:
- 开发一种新的计算框架,用于*de novo*发现影响蛋白质-DNA结合的结构动机.
- 创建适用于不同实验数据类型 (例如,ChIP-seq,RNA-seq,SELEX) 的统一工作流.
- 在预测蛋白质DNA结合时,与基于序列的动图相比,评估结构动图的性能.
主要方法:
- 将DNAshapeR算法的整合与信息理论方法用于*de novo*动机发现.
- 开发了一个名为ShapeME的工具,它统一了结构和序列动机推断和模型选择.
- 将ShapeME应用到来自ENCODE数据集的ChIP-seq数据中,用于各种DNA结合蛋白.
主要成果:
- 形状ME成功地确定了对蛋白质DNA结合偏好具有显著解释能力的短结构动机.
- 对于一组蛋白质,ShapeME发现的结构动图的性能优于JASPAR和STREME的最佳基于序列的PWM.
- 工作流显示了不同实验数据类型的多功能性.
结论:
- 结构性DNA基因在蛋白质-DNA相互作用中起着关键作用,可以显著改善结合预测.
- ShapeME提供了一个强大的和多功能框架,用于发现结构性DNA结合动机,补充现有的基于序列的工具.
- 这种方法通过结合DNA结构信息,促进了对蛋白质-DNA相互作用原理的理解.
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