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Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors

BACKGROUND: To understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by human estrogen receptor α (hERα), we combine ex...

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Autores principales: Parisi, Fabio, Sonderegger, Bernhard, Wirapati, Pratyaksha, Delorenzi, Mauro, Naef, Felix
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2907696/
https://www.ncbi.nlm.nih.gov/pubmed/19689805
http://dx.doi.org/10.1186/1471-2164-10-381
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author Parisi, Fabio
Sonderegger, Bernhard
Wirapati, Pratyaksha
Delorenzi, Mauro
Naef, Felix
author_facet Parisi, Fabio
Sonderegger, Bernhard
Wirapati, Pratyaksha
Delorenzi, Mauro
Naef, Felix
author_sort Parisi, Fabio
collection PubMed
description BACKGROUND: To understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by human estrogen receptor α (hERα), we combine extensive location and expression datasets with genomic sequence analysis. In particular, we study the influence of patterns of DNA occupancy by hERα on expression phenotypes. RESULTS: We find that strong ChIP-chip sites co-localize with strong hERα consensus sites and detect nucleotide bias near hERα sites. The localization of ChIP-chip sites relative to annotated genes shows that weak sites are enriched near transcription start sites, while stronger sites show no positional bias. Assessing the relationship between binding configurations and expression phenotypes, we find binding sites downstream of the transcription start site (TSS) to be equally good or better predictors of hERα-mediated expression as upstream sites. The study of FOX and SP1 cofactor sites near hERα ChIP sites shows that induced genes frequently have FOX or SP1 sites. Finally we integrate these multiple datasets to define a high confidence set of primary hERα target genes. CONCLUSION: Our results support the model of long-range interactions of hERα with the promoter-bound cofactor SP1 residing at the promoter of hERα target genes. FOX motifs co-occur with hERα motifs along responsive genes. Importantly we show that the spatial arrangement of sites near the start sites and within the full transcript is important in determining response to estrogen signaling.
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spelling pubmed-29076962010-07-22 Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors Parisi, Fabio Sonderegger, Bernhard Wirapati, Pratyaksha Delorenzi, Mauro Naef, Felix BMC Genomics Research Article BACKGROUND: To understand cancer-related modifications to transcriptional programs requires detailed knowledge about the activation of signal-transduction pathways and gene expression programs. To investigate the mechanisms of target gene regulation by human estrogen receptor α (hERα), we combine extensive location and expression datasets with genomic sequence analysis. In particular, we study the influence of patterns of DNA occupancy by hERα on expression phenotypes. RESULTS: We find that strong ChIP-chip sites co-localize with strong hERα consensus sites and detect nucleotide bias near hERα sites. The localization of ChIP-chip sites relative to annotated genes shows that weak sites are enriched near transcription start sites, while stronger sites show no positional bias. Assessing the relationship between binding configurations and expression phenotypes, we find binding sites downstream of the transcription start site (TSS) to be equally good or better predictors of hERα-mediated expression as upstream sites. The study of FOX and SP1 cofactor sites near hERα ChIP sites shows that induced genes frequently have FOX or SP1 sites. Finally we integrate these multiple datasets to define a high confidence set of primary hERα target genes. CONCLUSION: Our results support the model of long-range interactions of hERα with the promoter-bound cofactor SP1 residing at the promoter of hERα target genes. FOX motifs co-occur with hERα motifs along responsive genes. Importantly we show that the spatial arrangement of sites near the start sites and within the full transcript is important in determining response to estrogen signaling. BioMed Central 2009-08-18 /pmc/articles/PMC2907696/ /pubmed/19689805 http://dx.doi.org/10.1186/1471-2164-10-381 Text en Copyright ©2009 Parisi et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Parisi, Fabio
Sonderegger, Bernhard
Wirapati, Pratyaksha
Delorenzi, Mauro
Naef, Felix
Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title_full Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title_fullStr Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title_full_unstemmed Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title_short Relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
title_sort relationship between estrogen receptor α location and gene induction reveals the importance of downstream sites and cofactors
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2907696/
https://www.ncbi.nlm.nih.gov/pubmed/19689805
http://dx.doi.org/10.1186/1471-2164-10-381
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