Histone modification profiling in breast cancer cell lines highlights commonalities and differences among subtypes.
Histone modification profiling in breast cancer cell lines highlights commonalities and differences among subtypes.
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DOI:
10.1186/s12864-018-4533-0
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发表时间:
2018-02-20
期刊:
影响因子:
4.4
通讯作者:
Dent SYR
中科院分区:
文献类型:
--
作者:
Xi Y;Shi J;Li W;Tanaka K;Allton KL;Richardson D;Li J;Franco HL;Nagari A;Malladi VS;Coletta LD;Simper MS;Keyomarsi K;Shen J;Bedford MT;Shi X;Barton MC;Kraus WL;Li W;Dent SYR
Epigenetic regulators are frequently mutated or aberrantly expressed in a variety of cancers, leading to altered transcription states that result in changes in cell identity, behavior, and response to therapy. To define alterations in epigenetic landscapes in breast cancers, we profiled the distributions of 8 key histone modifications by ChIP-Seq, as well as primary (GRO-seq) and steady state (RNA-Seq) transcriptomes, across 13 distinct cell lines that represent 5 molecular subtypes of breast cancer and immortalized human mammary epithelial cells. Using combinatorial patterns of distinct histone modification signals, we defined subtype-specific chromatin signatures to nominate potential biomarkers. This approach identified AFAP1-AS1 as a triple negative breast cancer-specific gene associated with cell proliferation and epithelial-mesenchymal-transition. In addition, our chromatin mapping data in basal TNBC cell lines are consistent with gene expression patterns in TCGA that indicate decreased activity of the androgen receptor pathway but increased activity of the vitamin D biosynthesis pathway. Together, these datasets provide a comprehensive resource for histone modification profiles that define epigenetic landscapes and reveal key chromatin signatures in breast cancer cell line subtypes with potential to identify novel and actionable targets for treatment. The online version of this article (10.1186/s12864-018-4533-0) contains supplementary material, which is available to authorized users.
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DOI:
10.1093/bioinformatics/btu638
发表时间:
2015-01-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
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期刊:
Bioinformatics (Oxford, England)
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DOI:
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发表时间:
2016-07
期刊:
Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine
影响因子:
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