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This version published online on October 28, 2004
Molecular Endocrinology, doi:10.1210/me.2004-0267
Molecular Endocrinology Vol. 0, No. 2004 200402671-
doi:10.1210/me.2004-0267
Copyright © 2004 by the Endocrine Society.
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Submitted on July 2, 2004
Accepted on October 22, 2004

Global gene expression analysis of ER transcription factor cross-talk in breast cancer: Identification of estrogen-induced/AP-1-dependent genes

David G. DeNardo, Hee-Tae Kim, Susan Hilsenbeck, Valerie Cuba, Anna Tsimelzon, and Powel H. Brown*

Department of Molecular Cell Biology, Department of Medicine, Baylor Breast Center, Baylor College of Medicine, Houston TX

* To whom correspondence should be addressed. E-mail: pbrown{at}breastcenter.tmc.edu.

There is a growing body of literature supporting estrogen's ability to affect gene expression through a "non-classical" pathway, in which ER modulates the activity of other transcription factors such as AP-1, Sp-1 or NF-{kappa}B. We hypothesized that many estrogen-induced genes are dependent on AP-1 for their expression and that these genes can be identified using genomic strategies. Using cells expressing an inducible cJun dominant negative, we studied the estrogen induction of genes under conditions in which AP-1 was normal or blocked. We show that the expression of AP-1-dependent genes was inhibited by the cJun dominant negative and that AP-1 blockade does not affect mRNA ER{alpha} expression or estrogen induction of ERE activity. Using a microarray approach we then identified 20 new estrogen-induced/AP-1-dependent genes. These estrogen-induced/AP-1-dependent genes contain a higher frequency of consensus AP-1 sites in their promoters and have increased sensitivity to the AP-1 stimulant tetradecanoyl phorbol acetate (TPA) when compared with estrogen-induced genes whose expression was not affected by AP-1 blockade. We also show estrogen and AP-1 dependent recruitment of ER, SRC-1 and p300 to the promoter of these genes by chromatin immunoprecipitation. These studies demonstrate that microarrays can be used in a "reverse genetics" approach to predict the functional promoter structure of large numbers of genes that are regulated by multiple transcription factors.

NURSA Molecule Pages Link:

Nuclear Receptors:   ERα
Coregulators:   Cyclin D1  |  p300  |  SRC-1
Ligands:   17β-Estradiol



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