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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2015
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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. |
format | Online Article Text |
id | pubmed-4467117 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
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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