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. 2022 Apr 21;13:2177. doi: 10.1038/s41467-022-29824-1

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© The Author(s) 2022, corrected publication 2023

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 UMAP view of only senescent cells, colored by clusters found with FindCluster function (res = 0.5) (top) and percentage of clusters in the two genotypes (bottom). b Heatmap showing expression of differentially expressed genes found in total senescent cells related to pathways activated in total senescent cells. c Heatmap showing differentially expressed genes between various senescent clusters (Sene_clusters) using FindAllMarker function. Wilcoxon Rank Sum test followed by FDR correction. d Venn diagrams showing the differentially expressed genes in each Sene_cluster. Overlapping areas indicate the number of genes commonly modulated among subpopulations. The numbers report only unique differentially expressed genes or transcripts common between two clusters. e Dotplot showing ssGSEA of previously published senescence signature (Casella_signature³¹, Hernandez_signature³², Fridman_senescence_up³³, Basisty_signature³⁴, Purcell_signature³⁵, Cellular senescence from Gene Ontology collection, Oncogene-induced senescence and Cellular senescence gene sets from Reactome collection) in all the senescent clusters. f Heatmap showing pathway activity of 14 relevant signaling pathways calculated using PROGENy⁸⁰ between different senescent subpopulations (left) and between senescent and not senescent cells (right). g FeaturePlot showing expression levels of different secreted factors upregulated in specific Sene_clusters and not expressed in the other senescent cells. Source data are provided as a Source Data file.