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Usage Information

Licensing delineates helper and effector NK cell subsets during viral infection
Anthony E. Zamora, Ethan G. Aguilar, Can M. Sungur, Lam T. Khuat, Cordelia Dunai, G. Raymond Lochhead, Juan Du, Claire Pomeroy, Bruce R. Blazar, Dan L. Longo, Jeffrey M. Venstrom, Nicole Baumgarth, William J. Murphy
Anthony E. Zamora, Ethan G. Aguilar, Can M. Sungur, Lam T. Khuat, Cordelia Dunai, G. Raymond Lochhead, Juan Du, Claire Pomeroy, Bruce R. Blazar, Dan L. Longo, Jeffrey M. Venstrom, Nicole Baumgarth, William J. Murphy
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Research Article Immunology Inflammation

Licensing delineates helper and effector NK cell subsets during viral infection

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Abstract

Natural killer (NK) cells can be divided into phenotypic subsets based on expression of receptors that bind self-MHC-I molecules, a concept termed licensing or education. Here we show NK cell subsets with different migratory, effector, and immunoregulatory functions in dendritic cell and antigen (ag)-specific CD8+ T cell responses during influenza and murine cytomegalovirus infections. Shortly after infection, unlicensed NK cells localized in draining lymph nodes and produced GM-CSF, which correlated with the expansion and activation of dendritic cells, and resulted in greater and sustained ag-specific T cell responses. In contrast, licensed NK cells preferentially migrated to infected tissues and produced IFN-γ. Importantly, human NK cell subsets exhibited similar phenotypic characteristics. Collectively, our studies demonstrate a critical demarcation between the functions of licensed and unlicensed NK cell subsets, with the former functioning as the classical effector subset and the latter as the stimulator of adaptive immunity helping to prime immune responses.

Authors

Anthony E. Zamora, Ethan G. Aguilar, Can M. Sungur, Lam T. Khuat, Cordelia Dunai, G. Raymond Lochhead, Juan Du, Claire Pomeroy, Bruce R. Blazar, Dan L. Longo, Jeffrey M. Venstrom, Nicole Baumgarth, William J. Murphy

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,974 44
PDF 334 14
Figure 757 5
Supplemental data 126 1
Citation downloads 274 0
Totals 3,465 64
Total Views 3,529
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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