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Understanding MHC Class I Presentation of Viral Antigens by Human Dendritic Cells as a Basis for Rational Design of Therapeutic Vaccines

Overview of attention for article published in Frontiers in immunology, April 2014
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Title
Understanding MHC Class I Presentation of Viral Antigens by Human Dendritic Cells as a Basis for Rational Design of Therapeutic Vaccines
Published in
Frontiers in immunology, April 2014
DOI 10.3389/fimmu.2014.00182
Pubmed ID
Authors

Nadine van Montfoort, Evelyn van der Aa, Andrea M. Woltman

Abstract

Effective viral clearance requires the induction of virus-specific CD8(+) cytotoxic T lymphocytes (CTL). Since dendritic cells (DC) have a central role in initiating and shaping virus-specific CTL responses, it is important to understand how DC initiate virus-specific CTL responses. Some viruses can directly infect DC, which theoretically allow direct presentation of viral antigens to CTL, but many viruses target other cells than DC and thus the host depends on the cross-presentation of viral antigens by DC to activate virus-specific CTL. Research in mouse models has highly enhanced our understanding of the mechanisms underlying cross-presentation and the dendritic cells (DC) subsets involved, however, these results cannot be readily translated toward the role of human DC in MHC class I-antigen presentation of human viruses. Here, we summarize the insights gained in the past 20 years on MHC class I presentation of viral antigen by human DC and add to the current debate on the capacities of different human DC subsets herein. Furthermore, possible sources of viral antigens and essential DC characteristics for effective induction of virus-specific CTL are evaluated. We conclude that cross-presentation is not only an efficient mechanism exploited by DC to initiate immunity to viruses that do not infect DC but also to viruses that do infect DC, because cross-presentation has many conceptual advantages and bypasses direct immune modulatory effects of the virus on its infected target cells. Since knowledge on the mechanism of viral antigen presentation and the preferred DC subsets is crucial for rational vaccine design, the obtained insights are very instrumental for the development of effective anti-viral immunotherapy.

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X Demographics

The data shown below were collected from the profiles of 2 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Poland 1 <1%
Unknown 142 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 20%
Researcher 28 20%
Student > Master 21 15%
Student > Bachelor 16 11%
Student > Doctoral Student 11 8%
Other 15 10%
Unknown 24 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 33 23%
Immunology and Microbiology 31 22%
Biochemistry, Genetics and Molecular Biology 21 15%
Medicine and Dentistry 16 11%
Pharmacology, Toxicology and Pharmaceutical Science 4 3%
Other 15 10%
Unknown 23 16%
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 05 January 2021.
All research outputs
#16,047,334
of 25,373,627 outputs
Outputs from Frontiers in immunology
#16,703
of 31,516 outputs
Outputs of similar age
#131,877
of 241,747 outputs
Outputs of similar age from Frontiers in immunology
#70
of 148 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 31,516 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one is in the 42nd percentile – i.e., 42% 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 241,747 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 148 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 50% of its contemporaries.