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. 2021 Jul 6;12:4155. doi: 10.1038/s41467-021-24414-z

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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. 2 — a Monocle-generated pseudotime trajectory reveals the composition of three cell states based on the developmental stage (%). Cells in state 1 are at the beginning of pseudotime. Cell states 2 and 3 diverge at a common branchpoint (BP). b Pseudotime trajectory reveals the composition of cell identity within cell states. State 1 contains epicardial progenitor cells from Cluster 1 (C1)/C3. State 2 is populated by mesothelial cells from C2/C4. State 3 emerges from a common progenitor through a transient state characterized by cells in C5 actively undergoing EMT and culminates in mesenchymal cells of C6/C7. c Hierarchical clustering visualization of genes that define pseudotime states. Relative (Rel.) expression represents the scaled expression of rlog normalized data. d Pseudotime-dependent genes augmented in mesenchymal versus mesothelial cells. Cells are colored according to cell cluster identity. *Genes with significant correlation with pseudotime state.