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. 2020 Jun 16;30(9):794–809. doi: 10.1038/s41422-020-0354-1

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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. 2 — a Unsupervised hierarchical clustering analysis based on the Pearson correlation distance between the whole mRNA profile of each cell type. b Scatter plot displaying the differentially expressed genes (DEGs) between IMRCs and hESCs. Up-regulated genes are highlighted in red. Down-regulated genes are highlighted in green. Gray dots represent non-DEGs (less than twofold change). c Scatter plot displaying the DEGs between IMRCs and primary UCMSCs. Up-regulated genes are highlighted in red. Down-regulated genes are highlighted in green. Gray dots represent non-DEGs (less than twofold change). d Gene set enrichment analysis (GSEA) of the top up-regulated gene signature in IMRCs, compared with primary UCMSCs. e GSEA of the top down-regulated gene signature in IMRCs, compared with UCMSCs. f Heatmaps of specific gene expression amongst single IMRCs groups. g Quantification of non-mesenchymal marker gene expression amongst single IMRCs, UCMSCs and hESCs, as measured by scRNA-seq.