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. 2022 Dec 9;13:7613. doi: 10.1038/s41467-022-35390-3

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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 Graphical representation of experimental design (n = 3/group). b Venn Diagram of co-expressed transcripts between groups. c 2D Graphical representation of principal component analysis showing top two principal components of transcriptomic data. d Heatmap and dendrogram of transcript (y axis) expression level compared to mean expression across all groups (colormap) from each sample (x axis). e Top transcripts ranked by significance and log fold change when differential expression analysis was performed between old and old+rMetrnl groups; two-tailed t test was performed between old and old+rMetrnl and FDR adjusted to determine p value. f Gene set enrichment analysis performed to determine p values between old and old+rMetrnl groups specifically using Gene Ontology (Biological Processes) and Reactome databases. Graphics created with BioRender.com. Source data are available through GEO Accession ID GSE217037.