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. 2021 Apr 20;16:272. doi: 10.1186/s13018-021-02386-6

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© The Author(s) 2021

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. 1 — Identification of DEGs in human osteoblasts exposed to DEX. a Comparison of expression value between before normalization and after normalization. b Heatmap of expression of differentially-expressed genes: DEX vs. control. c Volcano plot of differentially expressed genes between DEX and control groups. The x-axis represents the -log10 (P value), and the y-axis represents the logFC. d Gene ontology of the differentially expressed genes. The x-axis represents the enriched gene ontology terms, and the y-axis represents the enrichment score. e Top ten KEGG terms for the differentially expressed mRNA. The abscissa represents the enriched score, and the ordinate represents the KEGG pathway terms. P values indicate larger values from blue through to red, and a larger node size represents a higher number of enriched genes. f protein-protein interaction of the differentially expressed genes. g Identification of a top 3 sub-network using MCODE in Cytoscape software