Genetics and Epigenetics, Cell and Molecular Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Genomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Mol Syst Biol. 2022 Sep;18(9):e10979. doi: 10.15252/msb.202210979.
A major goal in the field of transcriptional regulation is the mapping of changes in the binding of transcription factors to the resultant changes in gene expression. Recently, methods for measuring chromatin accessibility have enabled us to measure changes in accessibility across the genome, which are thought to correspond to transcription factor-binding events. In concert with RNA-sequencing, these data in principle enable such mappings; however, few studies have looked at their concordance over short-duration treatments with specific perturbations. Here, we used tandem, bulk ATAC-seq, and RNA-seq measurements from MCF-7 breast carcinoma cells to systematically evaluate the concordance between changes in accessibility and changes in expression in response to retinoic acid and TGF-β. We found two classes of genes whose expression showed a significant change: those that showed some changes in the accessibility of nearby chromatin, and those that showed virtually no change despite strong changes in expression. The peaks associated with genes in the former group had lower baseline accessibility prior to exposure to signal. Focusing the analysis specifically on peaks with motifs for transcription factors associated with retinoic acid and TGF-β signaling did not reduce the lack of correspondence. Analysis of paired chromatin accessibility and gene expression data from distinct paths along the hematopoietic differentiation trajectory showed a much stronger correspondence, suggesting that the multifactorial biological processes associated with differentiation may lead to changes in chromatin accessibility that reflect rather than driving altered transcriptional status. Together, these results show many gene expression changes can happen independently of changes in the accessibility of local chromatin in the context of a single-factor perturbation.
转录调控领域的一个主要目标是绘制转录因子结合的变化与基因表达的变化之间的关系。最近,测量染色质可及性的方法使我们能够测量整个基因组的可及性变化,这些变化被认为与转录因子结合事件相对应。与 RNA-seq 相结合,这些数据原则上可以实现这种映射;然而,很少有研究关注在特定干扰下短时间处理时它们的一致性。在这里,我们使用 MCF-7 乳腺癌细胞的串联、批量 ATAC-seq 和 RNA-seq 测量值,系统地评估了对维甲酸和 TGF-β反应的可及性变化与表达变化之间的一致性。我们发现了两类表达发生显著变化的基因:一类是其附近染色质的可及性发生了一些变化,另一类是尽管表达发生了强烈变化,但其可及性几乎没有变化。在接触信号之前,前一组基因相关峰的基础可及性较低。将分析重点特别放在与维甲酸和 TGF-β信号转导相关的转录因子相关峰上,并不能减少这种对应关系的缺乏。对沿造血分化轨迹的不同路径的配对染色质可及性和基因表达数据进行分析,显示出更强的对应关系,这表明与分化相关的多因素生物学过程可能导致染色质可及性的变化,这些变化反映而不是驱动改变的转录状态。总之,这些结果表明,在单一因素干扰的情况下,许多基因表达变化可以独立于局部染色质可及性的变化而发生。