He Runsheng, Dong Wenyang, Wang Zhi, Xie Chen, Gao Long, Ma Wenping, Shen Ke, Li Dubai, Pang Yuxuan, Jian Fanchong, Zhang Jiankun, Yuan Yuan, Wang Xinyao, Zhang Zhen, Zheng Yinghui, Liu Shuang, Luo Cheng, Chai Xiaoran, Ren Jun, Zhu Zhanxing, Xie Xiaoliang Sunney
Changping Laboratory, Beijing 102206, China.
Beijing Advanced Innovation Center for Genomics and Biomedical Pioneering Innovation Center, Peking University, Beijing 100871, China.
Proc Natl Acad Sci U S A. 2024 Dec 24;121(52):e2423270121. doi: 10.1073/pnas.2423270121. Epub 2024 Dec 17.
Decades of research have established that mammalian transcription factors (TFs) bind to each gene's regulatory regions and cooperatively control tissue specificity, timing, and intensity of gene transcription. Mapping the combination of TF binding sites genome wide is critically important for understanding functional genomics. Here, we report a technique to measure TFs' binding sites on the human genome with a near single-base resolution by footprinting with deaminase (FOODIE) on a single-molecule and single-cell basis. Single-molecule sequencing reads after enzymatic deamination allow detection of the TF binding fraction on a particular footprint and the binding cooperativity of any two adjacent TFs, which can be either positive or negative. As a newcomer of single-cell genomics, single-cell FOODIE enables the detection of cell-type-specific TF footprints in a pure cell population in a heterogeneous tissue, such as the brain. We found that genes carrying out a certain biological function together in a housing-keeping correlated gene module (CGM) or a tissues-specific CGM are coordinated by shared TFs in the gene's promoters and enhancers, respectively. Scalable and cost-effective, FOODIE allows us to create an open FOODIE database for cell lines, with applicability to human tissues and clinical samples.
数十年的研究已证实,哺乳动物转录因子(TFs)与每个基因的调控区域结合,并协同控制基因转录的组织特异性、时间和强度。全基因组范围内绘制TF结合位点的组合对于理解功能基因组学至关重要。在此,我们报告了一种技术,可通过在单分子和单细胞水平上用脱氨酶进行足迹分析(FOODIE),以近乎单碱基分辨率测量人类基因组上TFs的结合位点。酶促脱氨后的单分子测序读数可检测特定足迹上的TF结合分数以及任意两个相邻TFs的结合协同性,协同性可为正或负。作为单细胞基因组学的新方法,单细胞FOODIE能够在异质组织(如大脑)的纯细胞群体中检测细胞类型特异性TF足迹。我们发现,在管家相关基因模块(CGM)或组织特异性CGM中共同执行特定生物学功能的基因,分别由基因启动子和增强子中的共享TFs协调。FOODIE具有可扩展性且成本效益高,使我们能够为细胞系创建一个开放的FOODIE数据库,适用于人类组织和临床样本。