Department of Biochemistry, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.
Vanderbilt Genetics Institute, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, USA.
Genome Res. 2022 Aug 25;32(8):1529-1541. doi: 10.1101/gr.276766.122.
Massively parallel reporter assays (MPRAs) test the capacity of putative gene regulatory elements to drive transcription on a genome-wide scale. Most gene regulatory activity occurs within accessible chromatin, and recently described methods have combined assays that capture these regions-such as assay for transposase-accessible chromatin using sequencing (ATAC-seq)-with self-transcribing active regulatory region sequencing (STARR-seq) to selectively assay the regulatory potential of accessible DNA (ATAC-STARR-seq). Here, we report an integrated approach that quantifies activating and silencing regulatory activity, chromatin accessibility, and transcription factor (TF) occupancy with one assay using ATAC-STARR-seq. Our strategy, including important updates to the ATAC-STARR-seq assay and workflow, enabled high-resolution testing of ∼50 million unique DNA fragments tiling ∼101,000 accessible chromatin regions in human lymphoblastoid cells. We discovered that 30% of all accessible regions contain an activator, a silencer, or both. Although few MPRA studies have explored silencing activity, we demonstrate that silencers occur at similar frequencies to activators, and they represent a distinct functional group enriched for unique TF motifs and repressive histone modifications. We further show that Tn5 cut-site frequencies are retained in the ATAC-STARR plasmid library compared to standard ATAC-seq, enabling TF occupancy to be ascertained from ATAC-STARR data. With this approach, we found that activators and silencers cluster by distinct TF footprint combinations, and these groups of activity represent different gene regulatory networks of immune cell function. Altogether, these data highlight the multilayered capabilities of ATAC-STARR-seq to comprehensively investigate the regulatory landscape of the human genome all from a single DNA fragment source.
大规模平行报告分析(MPRA)测试假定的基因调控元件在全基因组范围内驱动转录的能力。大多数基因调控活性发生在可及染色质内,最近描述的方法将捕获这些区域的分析方法(如使用测序进行转座酶可及染色质分析(ATAC-seq))与自我转录的活性调控区测序(STARR-seq)相结合,以选择性地分析可及 DNA 的调控潜力(ATAC-STARR-seq)。在这里,我们报告了一种综合方法,该方法使用 ATAC-STARR-seq 对一个分析物进行定量激活和沉默调控活性、染色质可及性和转录因子(TF)占有率。我们的策略,包括对 ATAC-STARR-seq 分析和工作流程的重要更新,使我们能够在人类淋巴母细胞中对约 5000 万个独特 DNA 片段进行高分辨率测试,这些片段平铺约 101000 个可及染色质区域。我们发现,所有可及区域的 30%包含一个激活子、一个沉默子或两者兼有。尽管很少有 MPRA 研究探索沉默活性,但我们证明沉默子以与激活子相似的频率出现,它们代表一个独特的功能群体,富含独特的 TF 基序和抑制性组蛋白修饰。我们进一步表明,与标准 ATAC-seq 相比,Tn5 切割位点频率在 ATAC-STARR 质粒文库中得以保留,从而可以从 ATAC-STARR 数据中确定 TF 占有率。通过这种方法,我们发现激活子和沉默子通过不同的 TF 足迹组合聚类,这些活性组代表不同的免疫细胞功能基因调控网络。总之,这些数据突出了 ATAC-STARR-seq 的多层次能力,可从单个 DNA 片段来源全面研究人类基因组的调控景观。