识别与难以接近的染色质结合的哺乳动物转录因子
Romana T Pop1,2, Alessandra Pisante1,3, Dorka Nagy1,4
1School of Life Sciences, University of Essex, Colchester CO4 3SQ, UK.
Nucleic acids research
|July 24, 2023
概括
数百种转录因子 (TFs) 结合DNA,大约三分之一独立于染色质可访问性. 我们的模型,ChIPanalyser,准确地预测了TF结合,揭示了许多TF可以访问密集的染色体.
科学领域:
- 基因组学就是基因组学.
- 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:
- 转录因子 (TFs) 通过结合DNA来调节基因表达.
- TF DNA 结合受到 DNA 序列,TF 度,染色质可访问性和辅助因子的影响.
研究的目的:
- 使用ChIP-seq数据系统地调查TF绑定机制.
- 开发和验证一个可解释的统计模型 (ChIPanalyser) 来预测TF绑定.
主要方法:
- 对数百个TF的ChIP-seq数据的分析.
- 应用ChIPanalyser模型,包括DNA结合动机,TF度和染色质可访问性.
主要成果:
- 据预测,大约三分之一的TF可以独立于染色质可访问性来结合DNA.
- 对于打开染色素的TF,它们的辅因子和具有相似动机的TF,观察到这种独立性.
- 该模型准确地预测了数百个人类和小鼠TFs的结合.
- 一小部分TFs,包括CTCF,USF2和CEPB,可以在较弱的部位结合密度较高的染色质.
结论:
- ChIPanalyser准确地预测了TF在一系列因素上的结合.
- 许多转录因子表明能够结合密度较高的染色质,这挑战了以前的假设.
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