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Identification of Zika virus epitopes reveals immunodominant and protective roles for dengue virus cross-reactive CD8+ T cells

Overview of attention for article published in Nature Microbiology, March 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

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Title
Identification of Zika virus epitopes reveals immunodominant and protective roles for dengue virus cross-reactive CD8+ T cells
Published in
Nature Microbiology, March 2017
DOI 10.1038/nmicrobiol.2017.36
Pubmed ID
Authors

Jinsheng Wen, William Weihao Tang, Nicholas Sheets, Julia Ellison, Alessandro Sette, Kenneth Kim, Sujan Shresta

Abstract

CD8(+) T cells play an important role in controlling Flavivirus infection, including Zika virus (ZIKV). Here, we have identified 25 HLA-B*0702-restricted epitopes and 1 HLA-A*0101-restricted epitope using interferon (IFN)-γ enzyme-linked immunospot (ELISPOT) and intracellular cytokine staining (ICS) in ZIKV-infected IFN-α/β receptor-deficient HLA transgenic mice. The cross-reactivity of ZIKV epitopes to dengue virus (DENV) was tested using IFN-γ-ELISPOT and IFN-γ-ICS on CD8(+) T cells from DENV-infected mice, and five cross-reactive HLA-B*0702-binding peptides were identified by both assays. ZIKV/DENV cross-reactive CD8(+) T cells in DENV-immune mice expanded post ZIKV challenge and dominated in the subsequent CD8(+) T cell response. ZIKV challenge following immunization of mice with ZIKV-specific and ZIKV/DENV cross-reactive epitopes elicited CD8(+) T cell responses that reduced infectious ZIKV levels, and CD8(+) T cell depletions confirmed that CD8(+) T cells mediated this protection. These results identify ZIKV-specific and ZIKV/DENV cross-reactive epitopes and demonstrate both an altered immunodominance pattern in the DENV-immune setting relative to naive, as well as a protective role for epitope-specific CD8(+) T cells against ZIKV. These results have important implications for ZIKV vaccine development and provide a mouse model for evaluating anti-ZIKV CD8(+) T cell responses of human relevance.

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X Demographics

The data shown below were collected from the profiles of 23 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 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 216 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 16%
Student > Bachelor 32 15%
Student > Ph. D. Student 26 12%
Student > Master 23 11%
Student > Doctoral Student 13 6%
Other 35 16%
Unknown 52 24%
Readers by discipline Count As %
Immunology and Microbiology 48 22%
Agricultural and Biological Sciences 31 14%
Biochemistry, Genetics and Molecular Biology 28 13%
Medicine and Dentistry 23 11%
Chemistry 6 3%
Other 25 12%
Unknown 55 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 26 January 2024.
All research outputs
#617,851
of 25,711,518 outputs
Outputs from Nature Microbiology
#708
of 2,073 outputs
Outputs of similar age
#12,791
of 323,430 outputs
Outputs of similar age from Nature Microbiology
#16
of 61 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,073 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.0. This one has gotten more attention than average, scoring higher than 65% of its peers.
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 323,430 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.