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Coordinate Regulation of TET2 and EBNA2 Controls the DNA Methylation State of Latent Epstein-Barr Virus

Overview of attention for article published in Journal of Virology, September 2017
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Title
Coordinate Regulation of TET2 and EBNA2 Controls the DNA Methylation State of Latent Epstein-Barr Virus
Published in
Journal of Virology, September 2017
DOI 10.1128/jvi.00804-17
Pubmed ID
Authors

Fang Lu, Andreas Wiedmer, Kayla A. Martin, Priyankara J. M. S. Wickramasinghe, Andrew V. Kossenkov, Paul M. Lieberman

Abstract

Epstein-Barr Virus (EBV) latency and its associated carcinogenesis are regulated by dynamic changes in DNA methylation of both virus and host genomes. We show here that the Ten-Eleven Translocation 2 (TET2) gene, implicated in hydroxymethylation and active DNA demethylation, is a key regulator of EBV latency type DNA methylation patterning. EBV latency types are defined by DNA methylation patterns that restrict expression of viral latency genes. We show that TET2 mRNA and protein expression correlate with the highly demethylated EBV type III latency program permissive for expression of EBNA2, EBNA3s, and LMP transcripts. We show that shRNA depletion of TET2 results in a decrease in latency gene expression, but can also trigger a switch to lytic gene expression. TET2 depletion results in the loss of hydroxymethylated cytosine, and corresponding increase in cytosine methylation at key regulatory regions on the viral and host genomes. This also corresponded to a loss of RBP-jκ binding, and decreased histone H3K4 trimethylation at these sites. Furthermore, we show that the TET2 gene, itself, is regulated similar to the EBV genome. ChIP-Seq revealed that TET2 gene contains EBNA2-dependent RBP-jκ and EBF1 binding sites, and is subject to DNA methylation associated transcriptional silencing similar to EBV latency type III genomes. Finally, we provide evidence that TET2 colocalizes with EBNA2-EBF1-RBP-jκ binding sites, and can interact with EBNA2 by co-immunoprecipitation. Taken together, these findings indicate that TET2 gene transcripts are regulated similarly to EBV type III latency genes, and that TET2 protein is a cofactor of EBNA2 and co-regulator of the EBV type III latency program and DNA methylation state..IMPORTANCE Epstein-Barr Virus (EBV) latency and carcinogenesis involves the selective epigenetic modification of viral and cellular genes. Here, we show that TET2, a cellular tumor suppressor involved in active DNA demethylation, plays a central role in regulating DNA methylation state during EBV latency. TET2 is coordinately regulated and functionally interacts with the viral oncogene EBNA2. TET2 and EBNA2 function cooperatively to demethylate genes important for EBV-driven B cells growth transformation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 16%
Student > Doctoral Student 3 10%
Student > Master 3 10%
Student > Ph. D. Student 3 10%
Student > Bachelor 2 6%
Other 5 16%
Unknown 10 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 29%
Immunology and Microbiology 3 10%
Medicine and Dentistry 3 10%
Unspecified 1 3%
Agricultural and Biological Sciences 1 3%
Other 4 13%
Unknown 10 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 October 2017.
All research outputs
#15,523,434
of 25,382,440 outputs
Outputs from Journal of Virology
#21,024
of 25,695 outputs
Outputs of similar age
#176,679
of 328,531 outputs
Outputs of similar age from Journal of Virology
#86
of 158 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,695 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.5. This one is in the 18th percentile – i.e., 18% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 328,531 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.