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. 2019 Nov 6;9:16130. doi: 10.1038/s41598-019-52513-x

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© The Author(s) 2019

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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Bioinformatics analysis of the differential gene expression. Total RNA was extracted from osteoblasts from mice that received 10 μM dexamethasone and 10 µM dexamethasone combined with 100 µg EPC-EVs. RNA-seq was conducted, and bioinformatics analysis was performed. (A,B) Pie chart results showing the read mapping data from two biological replicates from the dexamethasone treatment group in the exons, introns and other categories. (C,D) Pie chart results show the read mapping information from 2 biological replicates from the dexamethasone + EPC-EV treatment group in the exons, introns and intergenic areas. (E) Heat map of the top 100 DEGs between osteoblasts in the dexamethasone and dexamethasone + EPC-EV treatmentgroups. Red indicates higher expression, and green indicates lower expression. (F) Volcano plot of DEGs between osteoblasts in the dexamethasone and the dexamethasone + EPC-EV treatment groups. Genes with significantly different expression are represented by red dots (upregulated) and green dots (downregulated). Genes without significantly different expression are represented by blue dots. The abscissas represent the fold change in genes in the two experimental groups, and the ordinates represent the statistical significance of the gene expression changes.