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乳腺癌细胞的综合性核受体网络。

A comprehensive nuclear receptor network for breast cancer cells.

机构信息

Institute of Genomics and Systems Biology, Argonne National Laboratory, Chicago, IL 60637, USA.

出版信息

Cell Rep. 2013 Feb 21;3(2):538-51. doi: 10.1016/j.celrep.2013.01.004. Epub 2013 Jan 31.

Abstract

In breast cancer, nuclear receptors (NRs) play a prominent role in governing gene expression, have prognostic utility, and are therapeutic targets. We built a regulatory map for 24 NRs, six chromatin state markers, and 14 breast-cancer-associated transcription factors (TFs) that are expressed in the breast cancer cell line MCF-7. The resulting network reveals a highly interconnected regulatory matrix where extensive crosstalk occurs among NRs and other breast -cancer-associated TFs. We show that large numbers of factors are coordinately bound to highly occupied target regions throughout the genome, and these regions are associated with active chromatin state and hormone-responsive gene expression. This network also provides a framework for stratifying and predicting patient outcomes, and we use it to show that the peroxisome proliferator-activated receptor delta binds to a set of genes also regulated by the retinoic acid receptors and whose expression is associated with poor prognosis in breast cancer.

摘要

在乳腺癌中,核受体(NRs)在调节基因表达方面发挥着重要作用,具有预后作用,并且是治疗靶点。我们构建了一个在乳腺癌细胞系 MCF-7 中表达的 24 个 NR、六个染色质状态标记物和 14 个与乳腺癌相关的转录因子(TFs)的调控图谱。该网络揭示了一个高度相互关联的调控矩阵,其中 NR 和其他与乳腺癌相关的 TFs 之间存在广泛的串扰。我们表明,大量的因子协调地结合到基因组中高度占据的靶区域,这些区域与活跃的染色质状态和激素反应性基因表达相关。该网络还为分层和预测患者结局提供了一个框架,我们用它来表明过氧化物酶体增殖物激活受体 delta 结合到一组也受视黄酸受体调节的基因,这些基因的表达与乳腺癌的预后不良相关。

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