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Cross-reactive human B cell and T cell epitopes between influenza A and B viruses

Overview of attention for article published in Virology Journal, July 2013
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Title
Cross-reactive human B cell and T cell epitopes between influenza A and B viruses
Published in
Virology Journal, July 2013
DOI 10.1186/1743-422x-10-244
Pubmed ID
Authors

Masanori Terajima, Jenny Aurielle B Babon, Mary Dawn T Co, Francis A Ennis

Abstract

Influenza A and B viruses form different genera, which were originally distinguished by antigenic differences in their nucleoproteins and matrix 1 proteins. Cross-protection between these two genera has not been observed in animal experiments, which is consistent with the low homology in viral proteins common to both viruses except for one of three polymerase proteins, polymerase basic 1 (PB1). Recently, however, antibody and CD4+ T cell epitopes conserved between the two genera were identified in humans. A protective antibody epitope was located in the stalk region of the surface glycoprotein, hemagglutinin, and a CD4+ T cell epitope was located in the fusion peptide of the hemagglutinin. The fusion peptide was also found to contain antibody epitopes in humans and animals. A short stretch of well-conserved peptide was also identified in the other surface glycoprotein, neuraminidase, and antibodies binding to this peptide were generated by peptide immunization in rabbits. Although PB1, the only protein which has relatively high overall sequence homology between influenza A and B viruses, is not considered an immunodominant protein in the T cell responses to influenza A virus infection, amino acid sequence comparisons show that a considerable number of previously identified T cell epitopes in the PB1 of influenza A viruses are conserved in the PB1 of influenza B viruses. These data indicate that B and T cell cross-reactivity exists between influenza A and B viruses, which may have modulatory effects on the disease process and recovery. Although the antibody titers and the specific T cell frequencies induced by natural infection or standard vaccination may not be high enough to provide cross protection in humans, it might be possible to develop immunization strategies to induce these cross-reactive responses more efficiently.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 2%
Australia 1 2%
South Africa 1 2%
United Kingdom 1 2%
Russia 1 2%
Unknown 51 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 30%
Student > Ph. D. Student 16 29%
Student > Master 6 11%
Student > Bachelor 5 9%
Student > Doctoral Student 3 5%
Other 6 11%
Unknown 3 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 39%
Immunology and Microbiology 10 18%
Medicine and Dentistry 7 13%
Chemistry 5 9%
Biochemistry, Genetics and Molecular Biology 4 7%
Other 4 7%
Unknown 4 7%
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 28 July 2013.
All research outputs
#15,274,954
of 22,715,151 outputs
Outputs from Virology Journal
#1,935
of 3,035 outputs
Outputs of similar age
#122,294
of 197,903 outputs
Outputs of similar age from Virology Journal
#44
of 72 outputs
Altmetric has tracked 22,715,151 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 3,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 26th percentile – i.e., 26% 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 197,903 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.