High-dimensional single-cell analysis of human natural killer cell heterogeneity
File(s)
Author(s)
Type
Journal Article
Abstract
Natural killer (NK) cells are innate lymphoid cells (ILCs) contributing to immune responses to microbes and tumors. Historically, their classification hinged on a limited array of surface protein markers. Here, we used single-cell RNA sequencing (scRNA-seq) and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to dissect the heterogeneity of NK cells. We identified three prominent NK cell subsets in healthy human blood: NK1, NK2 and NK3, further differentiated into six distinct subgroups. Our findings delineate the molecular characteristics, key transcription factors, biological functions, metabolic traits and cytokine responses of each subgroup. These data also suggest two separate ontogenetic origins for NK cells, leading to divergent transcriptional trajectories. Furthermore, we analyzed the distribution of NK cell subsets in the lung, tonsils and intraepithelial lymphocytes isolated from healthy individuals and in 22 tumor types. This standardized terminology aims at fostering clarity and consistency in future research, thereby improving cross-study comparisons.
Date Issued
2024-08-01
Date Acceptance
2024-05-23
Citation
Nature Immunology, 2024, 25 (8), pp.1474-1488
ISSN
1529-2908
Publisher
Nature Research
Start Page
1474
End Page
1488
Journal / Book Title
Nature Immunology
Volume
25
Issue
8
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/38956378
PII: 10.1038/s41590-024-01883-0
Subjects
CD56(BRIGHT)
DIFFERENTIATION
EXPRESSION
GRANZYME-K
Immunology
Life Sciences & Biomedicine
NK CELLS
Science & Technology
SET
Publication Status
Published
Coverage Spatial
United States
Date Publish Online
2024-07-02