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. 2023 Jun 21;14:3675. doi: 10.1038/s41467-023-39173-2

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© The Author(s) 2023

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 — a The brief schematic of the single-cell RNA-seq analysis pipeline. b UMAP plot showing nine major cell type clusters identified based on the scRNA-seq data. c UMAP plot displaying key makers of each major cell type. d, e UMAP plot displaying sub-clusters of macrophage populations and e Key markers of each macrophage sub-cluster. f, g UMAP plot displaying sub-clusters of B cell populations and g Key markers of each B cell sub-cluster. h, i UMAP plot displaying sub-clusters of T cell populations and i Key markers of each T cell sub-cluster. j Cell number statistics for major cell types and corresponding sub-clusters. k Heatmap showing the abundance of sub-clusters of macrophages, T, and B cells across samples. Subset frequency was normalized to total cells and row scaled by z-score.