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高分辨率人类增强子 RNA 图谱描绘癌症中超增强子的活性。

A High-Resolution Map of Human Enhancer RNA Loci Characterizes Super-enhancer Activities in Cancer.

机构信息

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

出版信息

Cancer Cell. 2020 Nov 9;38(5):701-715.e5. doi: 10.1016/j.ccell.2020.08.020. Epub 2020 Oct 1.

Abstract

Although enhancers play critical roles in cancer, quantifying enhancer activities in clinical samples remains challenging, especially for super-enhancers. Enhancer activities can be inferred from enhancer RNA (eRNA) signals, which requires enhancer transcription loci definition. Only a small proportion of human eRNA loci has been precisely identified, limiting investigations of enhancer-mediated oncogenic mechanisms. Here, we characterize super-enhancer regions using aggregated RNA sequencing (RNA-seq) data from large cohorts. Super-enhancers usually contain discrete loci featuring sharp eRNA expression peaks. We identify >300,000 eRNA loci in ∼377 Mb super-enhancer regions that are regulated by evolutionarily conserved, well-positioned nucleosomes and are frequently dysregulated in cancer. The eRNAs provide explanatory power for cancer phenotypes beyond that provided by mRNA expression through resolving intratumoral heterogeneity with enhancer cell-type specificity. Our study provides a high-resolution map of eRNA loci through which super-enhancer activities can be quantified by RNA-seq and a user-friendly data portal, enabling a broad range of biomedical investigations.

摘要

虽然增强子在癌症中起着关键作用,但在临床样本中量化增强子活性仍然具有挑战性,尤其是对于超级增强子。可以根据增强子 RNA (eRNA) 信号推断增强子活性,这需要定义增强子转录基因座。只有一小部分人类 eRNA 基因座被精确识别,限制了对增强子介导的致癌机制的研究。在这里,我们使用来自大型队列的聚合 RNA 测序 (RNA-seq) 数据来描述超级增强子区域。超级增强子通常包含离散的基因座,具有明显的 eRNA 表达峰。我们在约 377Mb 的超级增强子区域中鉴定出超过 30 万个 eRNA 基因座,这些基因座受进化上保守、位置良好的核小体调控,并且在癌症中经常失调。eRNAs 通过解析增强子细胞类型特异性的肿瘤内异质性,提供了超越 mRNA 表达的癌症表型解释能力。我们的研究提供了一个 eRNA 基因座的高分辨率图谱,通过 RNA-seq 可以对超级增强子活性进行定量,并提供了一个用户友好的数据门户,使广泛的生物医学研究成为可能。

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