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. 2022 Nov 15;3(11):100812. doi: 10.1016/j.xcrm.2022.100812

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© 2022 The Authors

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Transcriptional heterogeneity among NKp46⁺NK1.1⁺ subsets in the salivary glands

(A) PCA of 4,455 NKp46⁺NK1.1⁺ cells from the SG.

(B) Heatmap showing the top 15 genes with the lowest or highest PC1 score, ranked according to their score value.

(C) UMAP projection of SG NKp46⁺NK1.1⁺ cells clustered on the basis of RNA levels. The donut graph shows the percentage of each of the NKp46⁺NK1.1⁺ subsets identified.

(D) Heatmap of the top 10 upregulated DEGs of the identified NKp46⁺NK1.1⁺ clusters, ranked by adjusted p value (FC > 0.35 and p < 0.05).

(E) Violin plots showing mRNA expression profiles of selected genes across Seurat clusters.

(F) Pseudotime analysis of cells included in NK clusters. UMAPs are colored according to pseudotime scores (left) and cell cluster (right).

(G) Normalized expression of genes along the pseudotime calculated for the cells included in NK and ILC1 clusters. Color bars indicate cluster identity.

(H) UMAP plot overlaid with tissue-resident and circulating lymphocyte signatures.

(I) Module score analysis for tissue-resident and circulating lymphocyte signature for clusters identified in (C) (mean ± SD).