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增强子上的 DNA 甲基化可识别出不同的乳腺癌谱系。

DNA methylation at enhancers identifies distinct breast cancer lineages.

机构信息

Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Oslo, Norway.

Department of Clinical Molecular Biology and Laboratory Science (EpiGen), Akershus University hospital, Division of Medicine, Lørenskog, Norway.

出版信息

Nat Commun. 2017 Nov 9;8(1):1379. doi: 10.1038/s41467-017-00510-x.

Abstract

Breast cancers exhibit genome-wide aberrant DNA methylation patterns. To investigate how these affect the transcriptome and which changes are linked to transformation or progression, we apply genome-wide expression-methylation quantitative trait loci (emQTL) analysis between DNA methylation and gene expression. On a whole genome scale, in cis and in trans, DNA methylation and gene expression have remarkably and reproducibly conserved patterns of association in three breast cancer cohorts (n = 104, n = 253 and n = 277). The expression-methylation quantitative trait loci associations form two main clusters; one relates to tumor infiltrating immune cell signatures and the other to estrogen receptor signaling. In the estrogen related cluster, using ChromHMM segmentation and transcription factor chromatin immunoprecipitation sequencing data, we identify transcriptional networks regulated in a cell lineage-specific manner by DNA methylation at enhancers. These networks are strongly dominated by ERα, FOXA1 or GATA3 and their targets were functionally validated using knockdown by small interfering RNA or GRO-seq analysis after transcriptional stimulation with estrogen.

摘要

乳腺癌表现出全基因组异常的 DNA 甲基化模式。为了研究这些模式如何影响转录组,以及哪些变化与转化或进展相关,我们在三个乳腺癌队列(n=104、n=253 和 n=277)之间进行了全基因组表达-甲基化数量性状基因座(emQTL)分析。在顺式和反式位置,在三个乳腺癌队列中,DNA 甲基化和基因表达之间存在着显著且可重复的关联模式。表达-甲基化数量性状基因座的关联形成了两个主要的簇;一个与肿瘤浸润免疫细胞特征有关,另一个与雌激素受体信号有关。在与雌激素相关的簇中,我们使用 ChromHMM 分割和转录因子染色质免疫沉淀测序数据,鉴定了在增强子的 DNA 甲基化作用下以细胞谱系特异性方式调控的转录网络。这些网络主要由 ERα、FOXA1 或 GATA3 及其靶基因所主导,并且使用小干扰 RNA 或 GRO-seq 分析在雌激素刺激后进行转录激活时对其进行了功能验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8d5/5680222/46f6a3ceb98b/41467_2017_510_Fig1_HTML.jpg

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