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Heterogeneity of human bone marrow and blood natural killer cells defined by single-cell transcriptome
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Heterogeneity of human bone marrow and blood natural killer cells defined by single-cell transcriptome
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Journal Article
Heterogeneity of human bone marrow and blood natural killer cells defined by single-cell transcriptome
2019
Overview
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 CD56
bright
and CD56
dim
NK cells. Finally, a donor with GATA2
T354M
mutation exhibits reduced percentage of CD56
bright
NK cells with altered transcriptome and elevated cell death. These data expand our understanding of the heterogeneity and development of human NK cells.
Natural killer (NK) cells are important innate immune cells with diverse functions. Here the authors use single-cell RNA-sequencing of purified human bone marrow and peripheral blood NK cells to define five populations of NK cells with distinct transcriptomic profile to further our understanding of NK development and heterogeneity.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
Subject
/ 38/39
/ 45/91
/ Blood
/ Bone Marrow Cells - metabolism
/ CX3C Chemokine Receptor 1 - genetics
/ CX3C Chemokine Receptor 1 - metabolism
/ Hepatitis A Virus Cellular Receptor 2 - genetics
/ Hepatitis A Virus Cellular Receptor 2 - metabolism
/ Humanities and Social Sciences
/ Humans
/ Immunity
/ Killer Cells, Natural - immunology
/ Killer Cells, Natural - metabolism
/ Mutation
/ RNA
/ Science
/ Single-Cell Analysis - methods
