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T Cell Epitope Clustering in the Highly Immunogenic BZLF1 Antigen of Epstein-Barr Virus

Overview of attention for article published in Journal of Virology, October 2014
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Title
T Cell Epitope Clustering in the Highly Immunogenic BZLF1 Antigen of Epstein-Barr Virus
Published in
Journal of Virology, October 2014
DOI 10.1128/jvi.02642-14
Pubmed ID
Authors

Melissa J. Rist, Michelle A. Neller, Jacqueline M. Burrows, Scott R. Burrows

Abstract

Polymorphism in the human leukocyte antigen (HLA) loci ensures that the CD8(+) T cell response to viruses is directed against a diverse range of antigenic epitopes, thereby minimizing the impact of virus escape mutation across the population. The BZLF1 antigen of Epstein-Barr virus is an immunodominant target for CD8(+) T cells, but the response has been characterized only in the context of a limited number of HLA molecules due to incomplete epitope mapping. We have now greatly expanded the number of defined CD8(+) T cell epitopes from BZLF1, allowing the response to be evaluated in a much larger proportion of the population. Some regions of the antigen fail to be recognized by CD8(+) T cells, while others include clusters of overlapping epitopes presented by different HLA molecules. These highly immunogenic regions of BZLF1 include polymorphic sequences, such that up to four overlapping epitopes are impacted by a single amino acid variation common in different regions of the world. This focusing of the immune response to limited regions of the viral protein could be due to sequence similarity to human proteins creating "immune blind spots" through self-tolerance. This study significantly enhances the understanding of the immune response to BZLF1, and the precisely mapped T cell epitopes may be directly exploited in vaccine development and adoptive immunotherapy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Other 3 13%
Researcher 3 13%
Student > Bachelor 2 9%
Professor 2 9%
Other 3 13%
Unknown 5 22%
Readers by discipline Count As %
Immunology and Microbiology 5 22%
Biochemistry, Genetics and Molecular Biology 5 22%
Medicine and Dentistry 4 17%
Agricultural and Biological Sciences 2 9%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 6 26%
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 17 March 2015.
All research outputs
#20,655,488
of 25,373,627 outputs
Outputs from Journal of Virology
#23,560
of 25,691 outputs
Outputs of similar age
#200,961
of 274,442 outputs
Outputs of similar age from Journal of Virology
#162
of 221 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 221 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.