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Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency

机译:平行谱系的时间增强子图谱确定AHR和GLIS1为间充质多能性的调节剂。

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摘要

Temporal data on gene expression and context-specific open chromatin states can improve identification of key transcription factors (TFs) and the gene regulatory networks (GRNs) controlling cellular differentiation. However, their integration remains challenging. Here, we delineate a general approach for data-driven and unbiased identification of key TFs and dynamic GRNs, called EPIC-DREM. We generated time-series transcriptomic and epigenomic profiles during differentiation of mouse multipotent bone marrow stromal cell line (ST2) toward adipocytes and osteoblasts. Using our novel approach we constructed time-resolved GRNs for both lineages and identifed the shared TFs involved in both differentiation processes. To take an alternative approach to prioritize the identified shared regulators, we mapped dynamic super-enhancers in both lineages and associated them to target genes with correlated expression profiles. The combination of the two approaches identified aryl hydrocarbon receptor (AHR) and Glis family zinc finger 1 (GLIS1) as mesenchymal key TFs controlled by dynamic cell type-specific super-enhancers that become repressed in both lineages. AHR and GLIS1 control differentiation-induced genes and their overexpression can inhibit the lineage commitment of the multipotent bone marrow-derived ST2 cells.
机译:有关基因表达和上下文特异性开放染色质状态的时间数据可以改善关键转录因子(TFs)和控制细胞分化的基因调控网络(GRNs)的识别。但是,它们的集成仍然具有挑战性。在这里,我们描述了一种用于数据驱动和关键TF和动态GRN的无偏识别的通用方法,称为EPIC-DREM。我们在小鼠多能骨髓基质细胞系(ST2)向脂肪细胞和成骨细胞的分化过程中生成了时间序列的转录组学和表观基因组图谱。使用我们的新颖方法,我们为两个谱系构建了时间分辨的GRN,并确定了两个分化过程中涉及的共享TF。为了采用另一种方法来确定已识别的共享调节子的优先级,我们在两个谱系中绘制了动态超级增强子,并将它们与具有相关表达谱的靶基因相关联。两种方法的组合将芳烃受体(AHR)和Glis家族锌指1(GLIS1)确定为间充质关键TF,这些TF由动态细胞类型特异性超级增强剂控制,并在两个谱系中均受到抑制。 AHR和GLIS1控制分化诱导的基因,它们的过表达可以抑制多能骨髓衍生的ST2细胞的谱系定型。

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