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. 2022 Jul 19;8:68. doi: 10.1038/s41421-022-00415-0

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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 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. 4 — a Pairwise correlations between the expression profiles of four scRNA-seq samples (3564 cells). b Heatmap of average correlations across four samples between pairs of programs. c Dot plot showing significantly enriched pathways for signature genes of each meta-program. The color shade of the dot indicates the P value after FDR correction (the redder, the smaller adjusted P value), and the size of the dot represents the number of genes in the indicated pathway (the larger, the more genes included). d, e The Kaplan–Meier overall survival curves of TCGA-KIRC patients grouped by the average gene expression of meta-program 1 and meta-program 2 (with the median as the threshold). The P value was calculated by the log-rank test. HR, hazard ratio. f, g Sankey diagrams showing the regulatory relationship between the four tumor-specific TFs and genes within meta-program 1 and meta-program 2.