肌肉生成过程中的超级增强剂动力学

Basma Abdelkarim, T. Perkins
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引用次数: 0

摘要

转录因子结合和组蛋白标记的全基因组ChIP-seq分析发现了被称为超级增强子的大型调控结构域,这些结构域由12.5 kb以内的活性增强子簇组成。超级增强子的特点是高丰度的H3K27ac组蛋白标记,与主调控因子和共激活因子不成比例的结合,并驱动重要细胞身份基因的表达。超级增强子Rank Ordering of super - enhancer (ROSE)算法是一种基于se特征的识别算法,已被广泛应用于各种细胞类型。很少有人关注超级增强子如何在不同的细胞环境中发生变化,特别是在干细胞分化过程中。我们使用ROSE,结合其他工具,来研究超级增强剂在肌肉形成过程中的动态。利用各种转录因子的ChIP-seq数据和阶段匹配的RNA-seq数据,我们表征了成肌细胞和肌管中的几个超级增强子区域及其相关基因,发现它们在很大程度上是阶段特异性的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Super-enhancer Dynamics Throughout Myogenesis
Genome-wide ChIP-seq analysis of transcription factor binding and histone marks has uncovered large regulatory domains, known as super-enhancers, that consist of clusters of active enhancers within 12.5 kb of each other. Super-enhancers are characterized by high abundance of H3K27ac histone marks, disproportionate binding of master regulators and coactivators, and drive the expression of important cell identity genes. The algorithm, Rank Ordering of Super-Enhancers (ROSE), was developed to identify SEs based on their characteristics and has been extensively used, on various cell types. Less attention has been aimed at understanding how super-enhancers change in different cellular contexts, and in particular, during the differentiation of stem cells. We use ROSE, in conjunction with other tools, to investigate the dynamics of super-enhancers across myogenesis. Using ChIP-seq data for various transcription factors and stage-matched RNA-seq data, we characterize several super-enhancer regions and their associated genes in myoblasts and myotubes, finding them to be largely stage-specific.
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