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. 2021 May 29;12:306. doi: 10.1186/s13287-021-02354-1

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© The Author(s) 2021

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 4 — scRNA-seq reveals three sub-clusters in cultured secretory ePCs. a Uniform Manifold Approximation and Projection (UMAP) plot of the cellular sub-clusters. Single cells are color coded by cluster annotation. b Violin plot showing the distribution of number of UMIs, number of genes, and percentage of mitochondria reads of single cells in each sub-cluster. c Sankey diagram showing the contribution of cells from each sample to the sub-clusters. d Dot plot showing the expression of MSC markers, perivascular cell markers, smooth muscle cell markers, and stromal fibroblast cell markers across sub-clusters. Circle size indicates the percentage of cells in which the gene expression was detected. Fill color depicts the averaged normalized expression level of all cells within that sub-cluster. e Dot plot showing the score value of adipogenic, chondrogenic, osteogenic, and neurogeneic differentiation and immunomodulation potential across sub-clusters. The score for each cell for each term was firstly calculated by averaging the normalized-expression value of markers in each term. f Heat map of top upregulated genes in sub-clusters C0, C1, and C2. Sub-clusters were clearly separated. g Top significant enriched biological processes from gene ontology analysis based on upregulated genes identified in each sub-cluster. P.adjust, adjusted p value, value on x axis is the enrichment fold