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13种主要癌症类型中增强子的鉴定与特征分析

Identification and characteristic analysis of enhancers across 13 major cancer types.

作者信息

Qian Mingming, Wang Wenzhu, Zhang Yana, Zhao Yi, Quan Huige, Chen Yuting, Dai Xinyue, Guo Zhiyun

机构信息

School of Life Sciences and Engineering, Southwest Jiaotong University, Chengdu 610031, China.

出版信息

Precis Clin Med. 2021 Aug 2;4(3):204-208. doi: 10.1093/pcmedi/pbab019. eCollection 2021 Sep.

DOI:10.1093/pcmedi/pbab019
PMID:35693214
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8982554/
Abstract

Enhancers are often mutated and dysregulated in various diseases such as cancer. By integrating the function annotation of the mammalian genome (FANTOM) enhancers expression profiles and RNA-seq data from The Cancer Genome Atlas (TCGA) of 13 cancers and their corresponding -cancerous tissues, we systematically identified a total of 4702 significantly differentially expressed (DE) enhancers. Furthermore, a total of 1036 DE genes regulated by DE enhancers were identified. It was found that in these 13 cancers, most (61.13%) enhancers were ubiquitously expressed, whereas DE enhancers were more likely to be tissue-specific expressed, and the DE genes regulated by DE enhancers were significantly enriched in cancer-related pathways. Finally, it was manifested that 74 single nucleotide polymorphisms (SNPs) were located in 37 DE enhancers, and these SNPs affected the gain and loss of functional transcription factor binding sites of 758 transcription factors, which were shown to be highly correlated with tumorigenesis and development.

摘要

增强子在多种疾病(如癌症)中常常发生突变并失调。通过整合哺乳动物基因组功能注释(FANTOM)增强子表达谱以及来自13种癌症及其相应癌旁组织的癌症基因组图谱(TCGA)的RNA测序数据,我们系统地鉴定出总共4702个显著差异表达(DE)增强子。此外,还鉴定出了总共1036个由DE增强子调控的DE基因。研究发现,在这13种癌症中,大多数(61.13%)增强子是普遍表达的,而DE增强子更可能是组织特异性表达的,并且由DE增强子调控的DE基因在癌症相关通路中显著富集。最后,结果表明74个单核苷酸多态性(SNP)位于37个DE增强子中,这些SNP影响了758个转录因子的功能性转录因子结合位点的增减,这些转录因子与肿瘤发生和发展高度相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d22/8982554/f678fef9d5ec/pbab019fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d22/8982554/1ecec856d623/pbab019fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d22/8982554/f678fef9d5ec/pbab019fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d22/8982554/1ecec856d623/pbab019fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4d22/8982554/f678fef9d5ec/pbab019fig2.jpg

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本文引用的文献

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EnhFFL: A database of enhancer mediated feed-forward loops for human and mouse.EnhFFL:人类和小鼠增强子介导的前馈环数据库。
Precis Clin Med. 2021 Apr 14;4(2):129-135. doi: 10.1093/pcmedi/pbab006. eCollection 2021 Jun.
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Mapping and predicting gene-enhancer interactions.绘制和预测基因-增强子相互作用
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A Pan-Cancer Analysis of Enhancer Expression in Nearly 9000 Patient Samples.近 9000 例患者样本中增强子表达的泛癌症分析。
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The FANTOM5 Computation Ecosystem: Genomic Information Hub for Promoters and Active Enhancers.FANTOM5计算生态系统:启动子和活性增强子的基因组信息中心。
Methods Mol Biol. 2017;1611:199-217. doi: 10.1007/978-1-4939-7015-5_15.
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GEPIA: a web server for cancer and normal gene expression profiling and interactive analyses.GEPIA:一个用于癌症和正常基因表达谱分析及交互式分析的网络服务器。
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