DynaTag用于在低输入样本和单细胞分辨率下高效地映射转录因子
Pascal Hunold1,2, Giulia Pizzolato1,2, Nadia Heramvand1,2
1Center for Molecular Medicine Cologne, Faculty of Medicine and University Hospital, Cologne, University of Cologne, Cologne, Germany.
Nature communications
|July 28, 2025
概括
我们开发了DynaTag,这是一种用于绘制低输入样本中转录因子 (TF) DNA相互作用的新方法. 这种技术揭示了干细胞分化和癌症治疗期间的TF占用变化,优于现有的方法.
科学领域:
- 分子生物学分子生物学
- 遗传学 遗传学 是一个
- 表观遗传学 在表观遗传学中,表观遗传学是指表观遗传学.
背景情况:
- 在低输入样本和单细胞分辨率下绘制转录因子 (TF) 景观具有挑战性.
- 现有的方法在TF-DNA相互作用研究的灵敏度和分辨率方面存在局限性.
研究的目的:
- 推出DynaTag,一种用于稳定地绘制TF-DNA相互作用的新方法.
- 为了证明DynaTag在分析各种生物模型中TF占用变化的能力.
- 为了比较DynaTag的性能与已建立的技术,如CUT&RUN和ChIP-seq.
主要方法:
- 开发了DynaTag,在样本准备过程中使用生理盐溶液进行TF-DNA相互作用映射.
- 将DynaTag应用于干细胞分化模型和小细胞肺癌组织模型.
- 进行了TF占用量的批量和单细胞分辨率分析.
主要成果:
- 在干细胞和癌症模型中,DynaTag成功地发现了15个TF的占用变化.
- 在干细胞分化过程中观察到NANOG,MYC和OCT4的TF-DNA结合的显著变化.
- 在化疗后的肺癌模型中检测到FOXA1,MYC和突变p53 R248Q的染色质占用增加.
- 与CUT&RUN和ChIP-seq.相比,DynaTag显示出优越的信号与背景比率和分辨率.
结论:
- DynaTag是TF景观表征的重要技术进步.
- 该方法能够精确分析各种生物系统和复杂模型中的TF-DNA相互作用.
- 迪纳标签有助于更深入地了解在发育和疾病环境中的基因调节.
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