Wang Heng, Wu Ang, Yang Meng-Chen, Zhou Di, Chen Xiyang, Shi Zhifei, Zhang Yiqun, Liu Yu-Xin, Chen Kai, Wang Xiaosong, Cheng Xiao-Fang, He Baodan, Fu Yutao, Kang Lan, Hou Yujun, Chen Kun, Bian Shan, Tang Juan, Xue Jianhuang, Wang Chenfei, Liu Xiaoyu, Shi Jiejun, Gao Shaorong, Zhang Jia-Min
Key Laboratory of Spine and Spinal Cord Injury Repair and Regeneration of the Ministry of Education, Department of Orthopedics, Tongji Hospital, School of Life Sciences and Technology, Tongji University, Shanghai 200065, China.
Shanghai Key Laboratory of Maternal Fetal Medicine, Shanghai Institute of Maternal-Fetal Medicine and Gynecologic Oncology, Clinical and Translation Research Center, Shanghai First Maternity and Infant Hospital, School of Life Science and Technology, Tongji University, Shanghai 200092, China.
Protein Cell. 2025 Aug 4. doi: 10.1093/procel/pwaf071.
Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
基因调控依赖于转录因子(TFs)在调控元件上的精确结合,但同时在染色质上检测数百种TFs具有挑战性。我们开发了cFOOT-seq,一种基于胞嘧啶脱氨酶的TF足迹分析方法,用于在开放和封闭染色质区域进行高分辨率、全基因组范围的TF结合定量评估,即使细胞数量很少。通过利用双链DNA脱氨酶SsdAtox,cFOOT-seq将可及的胞嘧啶转化为尿嘧啶,同时保持基因组完整性,使其与ATAC-seq等技术兼容,以便在单分子和单细胞水平上灵敏且经济高效地检测TF占据情况。我们的方法能够描绘TF足迹、定量占据情况,并研究染色质对TF结合的影响。值得注意的是,cFOOT-seq与FootTrack分析相结合,能够从头预测TF结合位点并追踪TF占据动态。我们展示了其在捕获细胞类型特异性TFs、分析重编程过程中的TF动态以及揭示TF对染色质重塑因子的依赖性方面的应用。总体而言,cFOOT-seq是一种用于研究TF占据全基因组动态并阐明基因调控潜在顺式调控结构的强大方法。