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. 2023 May 25;14:143. doi: 10.1186/s13287-023-03372-x

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© The Author(s) 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 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 5 — Cellular senescence-associated genes with differential 5hmC levels in swine Obese- versus Lean-MSCs interact richly with canonical markers of senescence. A Volcano plot showing differential 5hmC levels in Obese- versus Lean-MSCs for genes filtered by the Cellular Senescence REACTOME Superpath or the GO term for Cellular Senescence (GO:0090398). For a given gene, differential 5hmC levels entail p-value ≤ 0.05 and fold change (Obese-MSCs/ Lean-MSCs) ≥ 1.4 (high 5hmC) or ≤ 0.7 (low 5hmC), as shown with dashed lines. Senescence-associated genes with high (n = 12) or low (n = 5) 5hmC levels in Obese- versus Lean-MSCs are represented with red or blue markers, respectively. B Heat map of genes filtered for Cellular Senescence showing higher (left) or lower (right) 5hmC levels in Obese-MSCs versus Lean-MSCs. C Functional network analysis of genes with differential 5hmC levels in Obese- versus Lean-MSCs using the STRING database. Network edges indicate both functional and physical protein associations, and color indicates the type of interaction evidence. Inclusion of three classic markers of senescence (p16, p21, and p53), along with stress kinase p38α, in the interaction analysis reveals salient interactions with the epigenetically dysregulated genes