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. 2021 Jun 8;12(6):589. doi: 10.1038/s41419-021-03878-3

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© The Author(s) 2021

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. 1 — A Workflow of tissue collection, sample processing, and data acquisition. Collect samples from three-time points, PP, EP, and PR, for tissue digestion. Next, sort live cells by FACS and construct cDNA libraries, then perform high-throughput sequencing and downstream analyses. B UMAP visualization of all cells (14,313) in 25 clusters. Each dot represents one cell, with colors coded according to the different clusters. Clusters are named by the most specific and highly expressed genes. MP mononuclear phagocytes, Endo endothelial cells. C Dot plots showing the most highly expressed marker genes (x-axis) of major cell types (y-axis) in Fig. 1B. The color of the dots represents the level of gene expression while the size of the dot represents the percentage of cells expressing the gene. D Heatmap of top ten differentially expressed genes between different clusters. The line is colored according to clusters in Fig. 1B. Each cluster lists the top two genes shown on the left.