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. 2022 Jan 25;12:1372. doi: 10.1038/s41598-022-05404-7

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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 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/.

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scRNA-seq of human coronary artery atherosclerotic plaque identified two endothelial cells (EC) clusters which are defined by the clustered risk factors DEGs. (a) UMAP visualization of clustering identified 17 cell populations (n = 10,671 cells). (b) KEGG enrichment analysis of the two EC clusters using the cluster marker differentially expressed genes between a cluster and all remaining cells. DEG were considered for adjusted p-value ≤ 0.05 and |Log2foldchange|≥ 0.25. (c) Heatmap of the 103 clustered risk factors DEGs expression levels from each endothelial cell of the two clusters followed by the condition in which they are differentially expressed. (d) Violin plot of emergent DEGs which are differentially expressed in EC2 vs. EC1. (e) Schematic illustrating the key dysregulated pathway in the clustered risk factors which are recapitulated in human atherosclerotic plaque. (e) Created in the Mind the Graph platform (www.mindthegraph.com).