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Molecular signature of Epstein Barr virus-positive Burkitt lymphoma and post-transplant lymphoproliferative disorder suggest different roles for Epstein Barr virus

Overview of attention for article published in Frontiers in Microbiology, December 2014
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Title
Molecular signature of Epstein Barr virus-positive Burkitt lymphoma and post-transplant lymphoproliferative disorder suggest different roles for Epstein Barr virus
Published in
Frontiers in Microbiology, December 2014
DOI 10.3389/fmicb.2014.00728
Pubmed ID
Authors

Mohsen Navari, Fabio Fuligni, Maria A. Laginestra, Maryam Etebari, Maria R. Ambrosio, Maria R. Sapienza, Maura Rossi, Giulia De Falco, Davide Gibellini, Claudio Tripodo, Stefano A. Pileri, Lorenzo Leoncini, Pier P. Piccaluga

Abstract

Epstein Barr virus (EBV) infection is commonly associated with human cancer and, in particular, with lymphoid malignancies. Although the precise role of the virus in the pathogenesis of different lymphomas is largely unknown, it is well recognized that the expression of viral latent proteins and miRNA can contribute to its pathogenetic role. In this study, we compared the gene and miRNA expression profile of two EBV-associated aggressive B non-Hodgkin lymphomas known to be characterized by differential expression of the viral latent proteins aiming to dissect the possible different contribution of such proteins and EBV-encoded miRNAs. By applying extensive bioinformatic inferring and an experimental model, we found that EBV+ Burkitt lymphoma presented with significant over-expression of EBV-encoded miRNAs that were likely to contribute to its global molecular profile. On the other hand, EBV+ post-transplant diffuse large B-cell lymphomas presented a significant enrichment in genes regulated by the viral latent proteins. Based on these different viral and cellular gene expression patterns, a clear distinction between EBV+ Burkitt lymphoma and post-transplant diffuse large B-cell lymphomas was made. In this regard, the different viral and cellular expression patterns seemed to depend on each other, at least partially, and the latency type most probably played a significant role in their regulation. In conclusion, our data indicate that EBV influence over B-cell malignant clones may act through different mechanisms of transcriptional regulation and suggest that potentially different pathogenetic mechanisms may depend upon the conditions of the interaction between EBV and the host that finally determine the latency pattern.

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The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Unknown 46 98%

Demographic breakdown

Readers by professional status Count As %
Other 9 19%
Student > Ph. D. Student 6 13%
Researcher 5 11%
Student > Postgraduate 4 9%
Professor > Associate Professor 4 9%
Other 10 21%
Unknown 9 19%
Readers by discipline Count As %
Medicine and Dentistry 14 30%
Biochemistry, Genetics and Molecular Biology 9 19%
Agricultural and Biological Sciences 7 15%
Mathematics 1 2%
Linguistics 1 2%
Other 5 11%
Unknown 10 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 January 2015.
All research outputs
#16,122,040
of 23,923,788 outputs
Outputs from Frontiers in Microbiology
#16,300
of 26,612 outputs
Outputs of similar age
#214,839
of 358,700 outputs
Outputs of similar age from Frontiers in Microbiology
#157
of 242 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 26,612 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 30th percentile – i.e., 30% 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 358,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 242 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.