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NKG2A-Expressing Natural Killer Cells Dominate the Response to Autologous Lymphoblastoid Cells Infected with Epstein–Barr Virus

Overview of attention for article published in Frontiers in immunology, December 2016
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Title
NKG2A-Expressing Natural Killer Cells Dominate the Response to Autologous Lymphoblastoid Cells Infected with Epstein–Barr Virus
Published in
Frontiers in immunology, December 2016
DOI 10.3389/fimmu.2016.00607
Pubmed ID
Authors

Olivia Hatton, Dara Marie Strauss-Albee, Nancy Q. Zhao, Mikel D. Haggadone, Judith Shanika Pelpola, Sheri M. Krams, Olivia M. Martinez, Catherine A. Blish

Abstract

Epstein-Barr virus (EBV) is a human γ-herpesvirus that establishes latency and lifelong infection in host B cells while achieving a balance with the host immune response. When the immune system is perturbed through immunosuppression or immunodeficiency, however, these latently infected B cells can give rise to aggressive B cell lymphomas. Natural killer (NK) cells are regarded as critical in the early immune response to viral infection, but their role in controlling expansion of infected B cells is not understood. Here, we report that NK cells from healthy human donors display increased killing of autologous B lymphoblastoid cell lines (LCLs) harboring latent EBV compared to primary B cells. Coculture of NK cells with autologous EBV(+) LCL identifies an NK cell population that produces IFNγ and mobilizes the cytotoxic granule protein CD107a. Multi-parameter flow cytometry and Boolean analysis reveal that these functional cells are enriched for expression of the NK cell receptor NKG2A. Further, NKG2A(+) NK cells more efficiently lyse autologous LCL than do NKG2A(-) NK cells. More specifically, NKG2A(+)2B4(+)CD16(-)CD57(-)NKG2C(-)NKG2D(+) cells constitute the predominant NK cell population that responds to latently infected autologous EBV(+) B cells. Thus, a subset of NK cells is enhanced for the ability to recognize and eliminate autologous, EBV-infected transformed cells, laying the groundwork for harnessing this subset for therapeutic use in EBV(+) malignancies.

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The data shown below were collected from the profiles of 4 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Researcher 8 17%
Student > Doctoral Student 6 13%
Student > Master 5 10%
Student > Bachelor 2 4%
Other 3 6%
Unknown 12 25%
Readers by discipline Count As %
Immunology and Microbiology 11 23%
Medicine and Dentistry 9 19%
Biochemistry, Genetics and Molecular Biology 8 17%
Agricultural and Biological Sciences 5 10%
Economics, Econometrics and Finance 1 2%
Other 1 2%
Unknown 13 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 16 December 2016.
All research outputs
#14,914,476
of 25,374,647 outputs
Outputs from Frontiers in immunology
#13,185
of 31,516 outputs
Outputs of similar age
#220,590
of 421,144 outputs
Outputs of similar age from Frontiers in immunology
#142
of 270 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% 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 has gotten more attention than average, scoring higher than 55% 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 421,144 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 270 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.