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Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data
Memorial Sloan Kettering Cancer Center, NY, NY and Howard Hughes Medical Institute, USA
The Fels Cancer Institute and Department of Microbiology Temple University School of Medicine, Philadelphia, PA, USA
The Wistar Institute Philadelphia, PA 19104, USA
* Author to whom correspondence should be addressed.
Received: 18 February 2013; in revised form: 11 March 2013 / Accepted: 18 March 2013 / Published: 2 April 2013
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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Cite This Article
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.
Arvey A, Tempera I, Lieberman PM. Interpreting the Epstein-Barr Virus (EBV) Epigenome Using High-Throughput Data. Viruses. 2013; 5(4):1042-1054.
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.