1. A cost‐effective tsCUT&Tag method for profiling transcription factor binding landscape.
- Author
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Wu, Leiming, Luo, Zi, Shi, Yanni, Jiang, Yizhe, Li, Ruonan, Miao, Xinxin, Yang, Fang, Li, Qing, Zhao, Han, Xue, Jiquan, Xu, Shutu, Zhang, Tifu, and Li, Lin
- Subjects
TRANSCRIPTION factors ,GENE regulatory networks ,PLANT protoplasts ,MACHINE learning ,PLANT development - Abstract
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. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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