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In silico identification and functional validation of allele-dependent AR enhancers

Androgen Receptor (AR) and Estrogen Receptors (ERs) are key nuclear receptors that can cooperate in orchestrating gene expression programs in multiple tissues and diseases, targeting binding elements in promoters and distant enhancers. We report the unbiased identification of enhancer elements bound...

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Autores principales: Garritano, Sonia, Romanel, Alessandro, Ciribilli, Yari, Bisio, Alessandra, Gavoci, Antoneta, Inga, Alberto, Demichelis, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467117/
https://www.ncbi.nlm.nih.gov/pubmed/25693204
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author Garritano, Sonia
Romanel, Alessandro
Ciribilli, Yari
Bisio, Alessandra
Gavoci, Antoneta
Inga, Alberto
Demichelis, Francesca
author_facet Garritano, Sonia
Romanel, Alessandro
Ciribilli, Yari
Bisio, Alessandra
Gavoci, Antoneta
Inga, Alberto
Demichelis, Francesca
author_sort Garritano, Sonia
collection PubMed
description Androgen Receptor (AR) and Estrogen Receptors (ERs) are key nuclear receptors that can cooperate in orchestrating gene expression programs in multiple tissues and diseases, targeting binding elements in promoters and distant enhancers. We report the unbiased identification of enhancer elements bound by AR and ER-α whose activity can be allele-specific depending on the status of nearby Single Nucleotide Polymorphisms (SNP). ENCODE data were computationally mined to nominate genomic loci with: (i) chromatin signature of enhancer activity from activation histone marks, (ii) binding evidence by AR and ER-α, (iii) presence of a SNP. Forty-one loci were identified and two, on 1q21.3 and 13q34, selected for characterization by gene reporter, Chromatin immunoprecipitation (ChIP) and RT-qPCR assays in breast (MCF7) and prostate (PC-3) cancer-derived cell lines. We observed allele-specific enhancer activity, responsiveness to ligand-bound AR, and potentially influence on the transcription of closely located genes (RAB20, ING1, ARHGEF7, ADAM15). The 1q21.3 variant, rs2242193, showed impact on AR binding in MCF7 cells that are heterozygous for the SNP. Our unbiased genome-wide search proved to be an efficient methodology to discover new functional polymorphic regulatory regions (PRR) potentially acting as risk modifiers in hormone-driven cancers and overall nominated SNPs in PRR across 136 transcription factors.
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spelling pubmed-44671172015-06-22 In silico identification and functional validation of allele-dependent AR enhancers Garritano, Sonia Romanel, Alessandro Ciribilli, Yari Bisio, Alessandra Gavoci, Antoneta Inga, Alberto Demichelis, Francesca Oncotarget Research Paper Androgen Receptor (AR) and Estrogen Receptors (ERs) are key nuclear receptors that can cooperate in orchestrating gene expression programs in multiple tissues and diseases, targeting binding elements in promoters and distant enhancers. We report the unbiased identification of enhancer elements bound by AR and ER-α whose activity can be allele-specific depending on the status of nearby Single Nucleotide Polymorphisms (SNP). ENCODE data were computationally mined to nominate genomic loci with: (i) chromatin signature of enhancer activity from activation histone marks, (ii) binding evidence by AR and ER-α, (iii) presence of a SNP. Forty-one loci were identified and two, on 1q21.3 and 13q34, selected for characterization by gene reporter, Chromatin immunoprecipitation (ChIP) and RT-qPCR assays in breast (MCF7) and prostate (PC-3) cancer-derived cell lines. We observed allele-specific enhancer activity, responsiveness to ligand-bound AR, and potentially influence on the transcription of closely located genes (RAB20, ING1, ARHGEF7, ADAM15). The 1q21.3 variant, rs2242193, showed impact on AR binding in MCF7 cells that are heterozygous for the SNP. Our unbiased genome-wide search proved to be an efficient methodology to discover new functional polymorphic regulatory regions (PRR) potentially acting as risk modifiers in hormone-driven cancers and overall nominated SNPs in PRR across 136 transcription factors. Impact Journals LLC 2015-02-27 /pmc/articles/PMC4467117/ /pubmed/25693204 Text en Copyright: © 2015 Garritano et al. http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Paper
Garritano, Sonia
Romanel, Alessandro
Ciribilli, Yari
Bisio, Alessandra
Gavoci, Antoneta
Inga, Alberto
Demichelis, Francesca
In silico identification and functional validation of allele-dependent AR enhancers
title In silico identification and functional validation of allele-dependent AR enhancers
title_full In silico identification and functional validation of allele-dependent AR enhancers
title_fullStr In silico identification and functional validation of allele-dependent AR enhancers
title_full_unstemmed In silico identification and functional validation of allele-dependent AR enhancers
title_short In silico identification and functional validation of allele-dependent AR enhancers
title_sort in silico identification and functional validation of allele-dependent ar enhancers
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4467117/
https://www.ncbi.nlm.nih.gov/pubmed/25693204
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