Heterogeneity of human bone marrow and blood natural killer cells defined by single-cell transcriptome
Chao Yang,
Jason R. Siebert,
Robert Burns,
Zachary J. Gerbec,
Benedetta Bonacci,
Amy Rymaszewski,
Mary Rau,
Matthew J. Riese,
Sridhar Rao,
Karen-Sue Carlson,
John M. Routes,
James W. Verbsky,
Monica S. Thakar and
Subramaniam Malarkannan ()
Additional contact information
Chao Yang: Blood Research Institute, Versiti
Jason R. Siebert: Blood Research Institute, Versiti
Robert Burns: Blood Research Institute, Versiti
Zachary J. Gerbec: Blood Research Institute, Versiti
Benedetta Bonacci: Blood Research Institute, Versiti
Amy Rymaszewski: Medical College of Wisconsin
Mary Rau: Medical College of Wisconsin
Matthew J. Riese: Medical College of Wisconsin
Sridhar Rao: Medical College of Wisconsin
Karen-Sue Carlson: Medical College of Wisconsin
John M. Routes: Medical College of Wisconsin
James W. Verbsky: Medical College of Wisconsin
Monica S. Thakar: Blood Research Institute, Versiti
Subramaniam Malarkannan: Blood Research Institute, Versiti
Nature Communications, 2019, vol. 10, issue 1, 1-16
Abstract:
Abstract Natural killer (NK) cells are critical to both innate and adaptive immunity. However, the development and heterogeneity of human NK cells are yet to be fully defined. Using single-cell RNA-sequencing technology, here we identify distinct NK populations in human bone marrow and blood, including one population expressing higher levels of immediate early genes indicative of a homeostatic activation. Functionally matured NK cells with high expression of CX3CR1, HAVCR2 (TIM-3), and ZEB2 represents terminally differentiated status with the unique transcriptional profile. Transcriptomic and pseudotime analyses identify a transitional population between CD56bright and CD56dim NK cells. Finally, a donor with GATA2T354M mutation exhibits reduced percentage of CD56bright NK cells with altered transcriptome and elevated cell death. These data expand our understanding of the heterogeneity and development of human NK cells.
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-11947-7
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DOI: 10.1038/s41467-019-11947-7
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