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Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia
BACKGROUND: A comprehensive assessment of the epigenetic dynamics in cancer cells is the key to understanding the molecular mechanisms underlying cancer and to improving cancer diagnostics, prognostics and treatment. By combining genome-wide ChIP-seq epigenomics and microarray transcriptomics, we st...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5090954/ https://www.ncbi.nlm.nih.gov/pubmed/27822313 http://dx.doi.org/10.1186/s13072-016-0090-4 |
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author | Adriaens, Michiel E. Prickaerts, Peggy Chan-Seng-Yue, Michelle van den Beucken, Twan Dahlmans, Vivian E. H. Eijssen, Lars M. Beck, Timothy Wouters, Bradly G. Voncken, Jan Willem Evelo, Chris T. A. |
author_facet | Adriaens, Michiel E. Prickaerts, Peggy Chan-Seng-Yue, Michelle van den Beucken, Twan Dahlmans, Vivian E. H. Eijssen, Lars M. Beck, Timothy Wouters, Bradly G. Voncken, Jan Willem Evelo, Chris T. A. |
author_sort | Adriaens, Michiel E. |
collection | PubMed |
description | BACKGROUND: A comprehensive assessment of the epigenetic dynamics in cancer cells is the key to understanding the molecular mechanisms underlying cancer and to improving cancer diagnostics, prognostics and treatment. By combining genome-wide ChIP-seq epigenomics and microarray transcriptomics, we studied the effects of oxygen deprivation and subsequent reoxygenation on histone 3 trimethylation of lysine 4 (H3K4me3) and lysine 27 (H3K27me3) in a breast cancer cell line, serving as a model for abnormal oxygenation in solid tumors. A priori, epigenetic markings and gene expression levels not only are expected to vary greatly between hypoxic and normoxic conditions, but also display a large degree of heterogeneity across the cell population. Where traditionally ChIP-seq data are often treated as dichotomous data, the model and experiment here necessitate a quantitative, data-driven analysis of both datasets. RESULTS: We first identified genomic regions with sustained epigenetic markings, which provided a sample-specific reference enabling quantitative ChIP-seq data analysis. Sustained H3K27me3 marking was located around centromeres and intergenic regions, while sustained H3K4me3 marking is associated with genes involved in RNA binding, translation and protein transport and localization. Dynamic marking with both H3K4me3 and H3K27me3 (hypoxia-induced bivalency) was found in CpG-rich regions at loci encoding factors that control developmental processes, congruent with observations in embryonic stem cells. CONCLUSIONS: In silico-identified epigenetically sustained and dynamic genomic regions were confirmed through ChIP-PCR in vitro, and obtained results are corroborated by published data and current insights regarding epigenetic regulation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0090-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5090954 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50909542016-11-07 Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia Adriaens, Michiel E. Prickaerts, Peggy Chan-Seng-Yue, Michelle van den Beucken, Twan Dahlmans, Vivian E. H. Eijssen, Lars M. Beck, Timothy Wouters, Bradly G. Voncken, Jan Willem Evelo, Chris T. A. Epigenetics Chromatin Research BACKGROUND: A comprehensive assessment of the epigenetic dynamics in cancer cells is the key to understanding the molecular mechanisms underlying cancer and to improving cancer diagnostics, prognostics and treatment. By combining genome-wide ChIP-seq epigenomics and microarray transcriptomics, we studied the effects of oxygen deprivation and subsequent reoxygenation on histone 3 trimethylation of lysine 4 (H3K4me3) and lysine 27 (H3K27me3) in a breast cancer cell line, serving as a model for abnormal oxygenation in solid tumors. A priori, epigenetic markings and gene expression levels not only are expected to vary greatly between hypoxic and normoxic conditions, but also display a large degree of heterogeneity across the cell population. Where traditionally ChIP-seq data are often treated as dichotomous data, the model and experiment here necessitate a quantitative, data-driven analysis of both datasets. RESULTS: We first identified genomic regions with sustained epigenetic markings, which provided a sample-specific reference enabling quantitative ChIP-seq data analysis. Sustained H3K27me3 marking was located around centromeres and intergenic regions, while sustained H3K4me3 marking is associated with genes involved in RNA binding, translation and protein transport and localization. Dynamic marking with both H3K4me3 and H3K27me3 (hypoxia-induced bivalency) was found in CpG-rich regions at loci encoding factors that control developmental processes, congruent with observations in embryonic stem cells. CONCLUSIONS: In silico-identified epigenetically sustained and dynamic genomic regions were confirmed through ChIP-PCR in vitro, and obtained results are corroborated by published data and current insights regarding epigenetic regulation. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13072-016-0090-4) contains supplementary material, which is available to authorized users. BioMed Central 2016-11-01 /pmc/articles/PMC5090954/ /pubmed/27822313 http://dx.doi.org/10.1186/s13072-016-0090-4 Text en © The Author(s) 2016 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 Adriaens, Michiel E. Prickaerts, Peggy Chan-Seng-Yue, Michelle van den Beucken, Twan Dahlmans, Vivian E. H. Eijssen, Lars M. Beck, Timothy Wouters, Bradly G. Voncken, Jan Willem Evelo, Chris T. A. Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title | Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title_full | Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title_fullStr | Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title_full_unstemmed | Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title_short | Quantitative analysis of ChIP-seq data uncovers dynamic and sustained H3K4me3 and H3K27me3 modulation in cancer cells under hypoxia |
title_sort | quantitative analysis of chip-seq data uncovers dynamic and sustained h3k4me3 and h3k27me3 modulation in cancer cells under hypoxia |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5090954/ https://www.ncbi.nlm.nih.gov/pubmed/27822313 http://dx.doi.org/10.1186/s13072-016-0090-4 |
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