Viruses 2013, 5(4), 1042-1054; doi:10.3390/v5041042

Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data

1email, 2email and 3,* email
Received: 18 February 2013; in revised form: 11 March 2013 / Accepted: 18 March 2013 / Published: 2 April 2013
(This article belongs to the Special Issue Recent Progress in EBV Research)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: 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.
Keywords: Epstein-Barr virus; gammaherpesvirus; chromatin; histone modification; CTCF; OriP
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MDPI and ACS Style

Arvey, A.; Tempera, I.; Lieberman, P.M. Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data. Viruses 2013, 5, 1042-1054.

AMA Style

Arvey A, Tempera I, Lieberman PM. Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data. Viruses. 2013; 5(4):1042-1054.

Chicago/Turabian Style

Arvey, Aaron; Tempera, Italo; Lieberman, Paul M. 2013. "Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data." Viruses 5, no. 4: 1042-1054.

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