Yu Tian, Li Zhijian, Gibbs Ellie, Iwase Reina, Francoeur Matthew J, Phan Quang Vinh, Zhao Jing, Rosin Jane, Cole Phillip A, Pinello Luca, Sherwood Richard I
bioRxiv. 2024 Dec 20:2024.12.17.628768. doi: 10.1101/2024.12.17.628768.
Binding of transcription factors (TFs) at gene regulatory elements controls cellular epigenetic state and gene expression. Current genome-wide chromatin profiling approaches have inherently limited resolution, complicating assessment of TF occupancy and co-occupancy, especially at individual alleles. In this work, we introduce Accessible Chromatin by Cytosine Editing Site Sequencing with ATAC-seq (ACCESS-ATAC), which harnesses a double-stranded DNA cytosine deaminase (Ddd) enzyme to stencil TF binding locations within accessible chromatin regions. We optimize bulk and single-cell ACCESS-ATAC protocols and develop computational methods to show that the increased resolution compared with ATAC-seq improves the accuracy of TF binding site prediction. We use ACCESS-ATAC to perform genome-wide allelic occupancy and co-occupancy imputation for 64 TFs each in HepG2 and K562, revealing that the propensity of a majority of TFs to co-occupy nearby motifs oscillates with a period approximating the helical turn of DNA. Altogether, ACCESS-ATAC expands the resolution and capabilities of bulk and single-cell epigenomic profiling.
转录因子(TFs)与基因调控元件的结合控制着细胞的表观遗传状态和基因表达。当前全基因组染色质分析方法的分辨率固有地受到限制,这使得评估TF的占据情况和共占据情况变得复杂,尤其是在单个等位基因上。在这项工作中,我们引入了通过与ATAC-seq结合的胞嘧啶编辑位点测序进行的可及染色质分析(ACCESS-ATAC),该方法利用一种双链DNA胞嘧啶脱氨酶(Ddd)酶来标记可及染色质区域内的TF结合位点。我们优化了批量和单细胞ACCESS-ATAC方案,并开发了计算方法,以表明与ATAC-seq相比,分辨率的提高提高了TF结合位点预测的准确性。我们使用ACCESS-ATAC对HepG2和K562细胞系中的64种TF分别进行全基因组等位基因占据和共占据情况的估算,结果显示大多数TF共占据附近基序的倾向以接近DNA螺旋转角的周期振荡。总之,ACCESS-ATAC扩展了批量和单细胞表观基因组分析的分辨率和能力。