期刊
JOURNAL OF INTEGRATIVE PLANT BIOLOGY
卷 64, 期 11, 页码 2033-2038出版社
WILEY
DOI: 10.1111/jipb.13354
关键词
binding sites; ChIP-seq; CUT&Tag; machine learning; transcription factor; transient expression
资金
- National Natural Science Foundation of China [31922068]
- Fundamental Research Funds for the Central Universities [ZK202101]
- China Postdoctoral Science Foundation [2019M662666]
A transient and simplified tsCUT&Tag method was developed for high-throughput chromatin profiling in plants. This method provided higher data quality and signal resolution compared to traditional ChIP-seq, and when combined with machine learning, it has great potential for profiling the transcription factor binding landscape during plant development.
Knowledge of the transcription factor binding landscape (TFBL) is necessary to analyze gene regulatory networks for important agronomic traits. However, a low-cost and high-throughput in vivo chromatin profiling method is still lacking in plants. Here, we developed a transient and simplified cleavage under targets and tagmentation (tsCUT&Tag) that combines transient expression of transcription factor proteins in protoplasts with a simplified CUT&Tag without nucleus extraction. Our tsCUT&Tag method provided higher data quality and signal resolution with lower sequencing depth compared with traditional ChIP-seq. Furthermore, we developed a strategy combining tsCUT&Tag with machine learning, which has great potential for profiling the TFBL across plant development.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据