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. 2020 Feb 28;13(5):824–835. doi: 10.1038/s41385-020-0273-y

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© The Author(s) 2020

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 4 — MAIT and CD4⁺ T cells isolated from the BALs of children with CAP were analyzed by single-cell RNA-sequencing (scRNAseq). a, Left panel: two-dimensional uniform manifold approximation and projection (2D-UMAP) plot displaying T cells expressing TRAV1-2; middle panel: unsupervised graphic clustering partitioned those cells into MAIT17, MAIT1, and DDIT3⁺ MAIT; right panel: pseudotime cell trajectory of MAIT cells. b Violin plots displaying expression of marker genes across MAIT cell clusters. c Dot plot showing expression of IL-32, LTB, NCR3, ITGA4, GPR65, and GPR183 among MAIT cell clusters. Dot size reflects the percentage of cells expressing the gene, while color intensity reflects the average gene expression level. d Heat map plotting of metabolic expression programs among MAIT subsets. e 2D-UMAP plot displaying three MAIT cell clusters and five CD4⁺ T. f Unrooted distance tree showing transcriptional similarities between CD4⁺T subsets and MAIT cell clusters. g Violin plots displaying differentially expressed genes between MAIT17 and Th17.