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Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data
The Epstein-Barr virus (EBV) double-stranded DNA genome is subject to extensive epigenetic regulation. Large consortiums and individual labs have generated a vast number of genome-wide data sets on human lymphoblastoid and other cell lines latently infected with EBV. Analysis of these data sets reve...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705264/ https://www.ncbi.nlm.nih.gov/pubmed/23549386 http://dx.doi.org/10.3390/v5041042 |
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author | Arvey, Aaron Tempera, Italo Lieberman, Paul M. |
author_facet | Arvey, Aaron Tempera, Italo Lieberman, Paul M. |
author_sort | Arvey, Aaron |
collection | PubMed |
description | The Epstein-Barr virus (EBV) double-stranded DNA genome is subject to extensive epigenetic regulation. Large consortiums and individual labs have generated a vast number of genome-wide data sets on human lymphoblastoid and other cell lines latently infected with EBV. Analysis of these data sets reveals important new information on the properties of the host and viral chromosome structure organization and epigenetic modifications. We discuss the mapping of these data sets and the subsequent insights into the chromatin structure and transcription factor binding patterns on latent EBV genomes. Colocalization of multiple histone modifications and transcription factors at regulatory loci are considered in the context of the biology and regulation of EBV. |
format | Online Article Text |
id | pubmed-3705264 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-37052642013-07-09 Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data Arvey, Aaron Tempera, Italo Lieberman, Paul M. Viruses Commentary The Epstein-Barr virus (EBV) double-stranded DNA genome is subject to extensive epigenetic regulation. Large consortiums and individual labs have generated a vast number of genome-wide data sets on human lymphoblastoid and other cell lines latently infected with EBV. Analysis of these data sets reveals important new information on the properties of the host and viral chromosome structure organization and epigenetic modifications. We discuss the mapping of these data sets and the subsequent insights into the chromatin structure and transcription factor binding patterns on latent EBV genomes. Colocalization of multiple histone modifications and transcription factors at regulatory loci are considered in the context of the biology and regulation of EBV. MDPI 2013-04-02 /pmc/articles/PMC3705264/ /pubmed/23549386 http://dx.doi.org/10.3390/v5041042 Text en © 2013 by the authors; licensee MDPI, Basel, Switzerland. http://creativecommons.org/licenses/by/3.0/ This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Commentary Arvey, Aaron Tempera, Italo Lieberman, Paul M. Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title | Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title_full | Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title_fullStr | Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title_full_unstemmed | Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title_short | Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data |
title_sort | interpreting the epstein-barr virus (ebv) epigenome using high-throughput data |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705264/ https://www.ncbi.nlm.nih.gov/pubmed/23549386 http://dx.doi.org/10.3390/v5041042 |
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