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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...

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Detalles Bibliográficos
Autores principales: Arvey, Aaron, Tempera, Italo, Lieberman, Paul M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2013
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.
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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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