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. 2022 May 14;12:8003. doi: 10.1038/s41598-022-11641-7

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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 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/.

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Pathway clustering analysis and heatmap representation of experimental groups. (a) Pathway term clustering based on KEGG pathway maps based on DEGs of experimental groups^32–34. All groups are compared to G1 as the control condition. Node size of pathway terms resemble the number of associated genes to it. The stronger the node color the more significant a cluster is. (b) ORA heatmaps of enriched genes in denoted pathways based on KEGG from all groups^32–34. Heatmaps were generated using NetworkAnalyst.