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. 2022 Jun 13;13:3394. doi: 10.1038/s41467-022-31154-1

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© The Author(s) 2022

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. 5 — a UMAP plot presenting cellular heterogeneity of APCs in iBAT with 11 distinct clusters of cells identified and color-coded. b Unsupervised hierarchical clustering of gene signatures showing relatedness of clusters. c UMAP plot of APCs presenting 5 distinct groups. d Heatmap of differentially expressed genes (DEGs) between different groups. Top 10 genes and their scaled expression are shown. e–j Violin plots (e–i) or feature plots (j) of expression levels and distribution for top ranked (e–i, left and j) and selected (e–i, right) group-specific genes. k GO analysis of top 50 up-regulated genes of Group 5. l Cell cycle scoring for APCs in iBAT. Stacked bar chart showing relative abundance of cells from different cell cycle phases in each group. m Violin plot of total mRNA molecules in distinct groups. P values were calculated by hypergeometric distribution (two-tailed) for k. Source data are provided as a Source Data file.