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VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer

BACKGROUND: VirtUaL ChIP-seq Analysis through Networks (VULCAN) infers regulatory interactions of transcription factors by overlaying networks generated from publicly available tumor expression data onto ChIP-seq data. We apply our method to dissect the regulation of estrogen receptor-alpha activati...

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Autores principales: Holding, Andrew N., Giorgi, Federico M., Donnelly, Amanda, Cullen, Amy E., Nagarajan, Sankari, Selth, Luke A., Markowetz, Florian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515683/
https://www.ncbi.nlm.nih.gov/pubmed/31084623
http://dx.doi.org/10.1186/s13059-019-1698-z
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author Holding, Andrew N.
Giorgi, Federico M.
Donnelly, Amanda
Cullen, Amy E.
Nagarajan, Sankari
Selth, Luke A.
Markowetz, Florian
author_facet Holding, Andrew N.
Giorgi, Federico M.
Donnelly, Amanda
Cullen, Amy E.
Nagarajan, Sankari
Selth, Luke A.
Markowetz, Florian
author_sort Holding, Andrew N.
collection PubMed
description BACKGROUND: VirtUaL ChIP-seq Analysis through Networks (VULCAN) infers regulatory interactions of transcription factors by overlaying networks generated from publicly available tumor expression data onto ChIP-seq data. We apply our method to dissect the regulation of estrogen receptor-alpha activation in breast cancer to identify potential co-regulators of the estrogen receptor’s transcriptional response. RESULTS: VULCAN analysis of estrogen receptor activation in breast cancer highlights the key components of the estrogen receptor complex alongside a novel interaction with GRHL2. We demonstrate that GRHL2 is recruited to a subset of estrogen receptor binding sites and regulates transcriptional output, as evidenced by changes in estrogen receptor-associated eRNA expression and stronger estrogen receptor binding at active enhancers after GRHL2 knockdown. CONCLUSIONS: Our findings provide new insight into the role of GRHL2 in regulating eRNA transcription as part of estrogen receptor signaling. These results demonstrate VULCAN, available from Bioconductor, as a powerful predictive tool. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1698-z) contains supplementary material, which is available to authorized users.
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spelling pubmed-65156832019-05-21 VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer Holding, Andrew N. Giorgi, Federico M. Donnelly, Amanda Cullen, Amy E. Nagarajan, Sankari Selth, Luke A. Markowetz, Florian Genome Biol Research BACKGROUND: VirtUaL ChIP-seq Analysis through Networks (VULCAN) infers regulatory interactions of transcription factors by overlaying networks generated from publicly available tumor expression data onto ChIP-seq data. We apply our method to dissect the regulation of estrogen receptor-alpha activation in breast cancer to identify potential co-regulators of the estrogen receptor’s transcriptional response. RESULTS: VULCAN analysis of estrogen receptor activation in breast cancer highlights the key components of the estrogen receptor complex alongside a novel interaction with GRHL2. We demonstrate that GRHL2 is recruited to a subset of estrogen receptor binding sites and regulates transcriptional output, as evidenced by changes in estrogen receptor-associated eRNA expression and stronger estrogen receptor binding at active enhancers after GRHL2 knockdown. CONCLUSIONS: Our findings provide new insight into the role of GRHL2 in regulating eRNA transcription as part of estrogen receptor signaling. These results demonstrate VULCAN, available from Bioconductor, as a powerful predictive tool. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13059-019-1698-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-05-13 /pmc/articles/PMC6515683/ /pubmed/31084623 http://dx.doi.org/10.1186/s13059-019-1698-z Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Holding, Andrew N.
Giorgi, Federico M.
Donnelly, Amanda
Cullen, Amy E.
Nagarajan, Sankari
Selth, Luke A.
Markowetz, Florian
VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title_full VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title_fullStr VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title_full_unstemmed VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title_short VULCAN integrates ChIP-seq with patient-derived co-expression networks to identify GRHL2 as a key co-regulator of ERa at enhancers in breast cancer
title_sort vulcan integrates chip-seq with patient-derived co-expression networks to identify grhl2 as a key co-regulator of era at enhancers in breast cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6515683/
https://www.ncbi.nlm.nih.gov/pubmed/31084623
http://dx.doi.org/10.1186/s13059-019-1698-z
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