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. 2022 Nov 24;20:163. doi: 10.1186/s12958-022-01030-0

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© The Author(s) 2022

Open AccessThis 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 — Differential transcriptome analysis of obese endometrial stroma. A Principal component analysis of gene expression data from sorted endometrial stroma of control diet and high-fat diet. B Volcano plot of expressed genes. Significant differentially expressed genes (FDR < 0.05) among stroma are highlighted in red. Genes with FDR < 0.001 are denoted with gene symbols. C Enrichment analysis for GO biological processes for differentially expressed genes (n = 141). D Hierarchical clustering of 141 significant differentially expressed genes in all samples. E Broad GSEA results for high-fat diet vs. control diet epithelia (x-axis) and stroma (y-axis). Noteworthy pathways are highlighted in red. F Proportional Euler diagram of overlap between differentially expressed genes in high-fat diet vs. control diet epithelia (n = 105) and stroma (n = 141). Statistic is hypergeometric enrichment. G Heatmap of fold change values for overlapping genes from panel F