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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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Computational analysis of the RNA-Seq of our group cohorts. (a) Hierarchical clustering heatmap of global expression in all groups (in triplicates) was generated with Morpheus using default settings. (b) PCA plot based on global expression in all groups (in triplicates) was generated using NetworkAnalyst (c) PCA plot based on significant DEGs of group 2,3,4,5 in comparison to group 1. (d) Venn diagrams showing the common and unique upregulated genes and downregulated genes of groups 2, 3, 4, and 5. The interactive diagrams can be accessed online using the InteractiVenn (http://www.interactivenn.net) and supporting files 1 and 2.