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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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Figure 6

Microarray gene expression profiling of NK cell subsets.

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Microarray gene expression profiling of NK cell subsets.
Total RNA was i...
Total RNA was isolated from pools of licensed (CD3–CD122+Ly49G2–A–Ly49C/I+) and unlicensed (CD3–CD122+Ly49G2+Ly49A+Ly49C/I– or CD3–CD122+Ly49G2–Ly49A–Ly49C/I–) NK cell populations isolated by FACS of splenocytes from 30 naive C57BL/6 mice. Gene expression profiling was performed with Affymetrix mouse Gene ST microarrays as described in the Methods. Genes differentially expressed between the 3 NK cell subsets (Ly49-negative, Ly49-C/I+, and Ly49-G2/A+) were determined and subsequently utilized in downstream hierarchical clustering and gene functional classification. (A) Differentially expressed genes between the NK cell subsets were identified and clustered according to similarities in their expression patterns. The different clusters are labeled I to VI (left of heatmap). Heatmaps also depict the relative expression of genes comprising significantly enriched functional genes (i.e., gene ontology terms) within the licensed (cluster V) and unlicensed (cluster II) NK subset expression signatures (right-hand side of panel). (B) Overlap of genes that are commonly upregulated (top Venn diagram) in the Ly49C/I+ NK cell subset compared with either the Ly49-negative (left circle) or Ly49G2/A+ (right circle), or that are downregulated (bottom Venn diagram) in the Ly49C/I+ NK cell subset compared with either the Ly49-negative (left circle) or Ly49G2/A+ (right circle). Color indicates function of molecule encoded: green, effector molecule; purple, trafficking molecule; blue, secreted molecule.

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