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. 2020 Apr 28;6:22. doi: 10.1038/s41421-020-0157-z

Fig. 4. Novel classification of T and NK cells based on specific chemokine receptor expression.

Fig. 4

a UMAP plots showing the distribution of chemokine receptors CCR7, CXCR3, CXCR6, CX3CR1, and CXCR5 matching with various T and NK cell subsets. b The heatmap indicating the expression of specific genes by chemokine receptors-defined NK & T cell clusters. Chemokine receptors expression correlates with the differentiation, effectorness and distribution patterns of CD8+ T and NK cell subsets. c The pool data by flow cytometry indicating the proportion of CCR7+ naive/CM T cells, CXCR3+ Tm, CXCR6+ Trm and CX3CR1+ Tc cells among CD8 T cells from peripheral blood (n = 13), liver perfusion (n = 5), and liver (n = 9), respectively. d The pool data by flow cytometry indicating the proportion of CXCR6+CX3CR1 TrNK, CXCR6CX3CR1+ NK cells, and CXCR6+CX3CR1+ double-positive (DP) and CXCR6CX3CR1 double-negative (DN) cells among CD3-CD56+ total NK cells from peripheral blood (n = 13), liver perfusion (n = 5), and liver (n = 9), respectively. e Summary data indicating CD107a and IFN-γ production by CXCR6+ Trm from LP as compared to those from CXCR6 T cells from LP (n = 11) and blood (n = 12) in responses to IL-12/IL-18 stimulations, respectively. f Summary data indicating CD107a and IFN-γ production by CXCR6+CD16 TrNK cells from LP as compared to other NK cell subsets from LP (n = 11) and blood (n = 12) in responses to IL-12/IL-18 stimulations, respectively. **P < 0.01, ***P < 0.001, ****P < 0.0001, data are represented as mean ± SEM. PB peripheral blood, LP liver perfusion. g Immuno-histochemistry staining of CCR7, GZMK, and GZMB in the human liver by histological data from Protein Atlas, which represent naïve cells, tissue-resident cells and cNK cells, respectively. h The proportion of CXCR6 + cells among total T cells and NK cells from the liver biopsy in HC (n = 8), CHB patients (n = 12), and HBV-associated liver cirrhosis patients (n = 10). *P < 0.05, **P < 0.01, data are represented as mean ± SEM.