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. 2023 Mar 9;3(3):327–345. doi: 10.1038/s43587-023-00373-6

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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 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. 7 — a, Summarization network graphs of the number of ligand–receptor interactions between cell types in YX, YY, YO, OX, OO and OY mice. Node size is proportional to cell population size. Edge width and transparency of color are proportional to the number of all edges between a set of nodes. b, Chord diagrams representing the informatically predicted unique source:target:receptor:ligand pairings identified only in the rejuvenation model of OY and YX (Venn diagram inset, left panel) or the aging acceleration model of YO and OX (Venn diagram inset, right panel). c, For all identified EC receptors, edgeR DGE QLF test metrics are shown for the aging, RJV and AGA paradigms. Node size is inversely proportional to the Benjamini–Hochberg-adjusted P value for multiple comparisons and node color is scaled by intensity of log(FC) from blue (negative, downregulation) to magenta (positive, upregulation).