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. 2022 Oct 1;8:403. doi: 10.1038/s41420-022-01119-w

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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 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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Fig. 1 — A A volcano map of the results from differential analysis of the GSE44077 dataset. Red dots represent upregulated genes, green dots represent downregulated genes and black dots represent un-differentially expressed genes. B GO analysis of the top 50 DEGs screened from the GSE44077 dataset. C KEGG enrichment analysis of the top 50 DEGs screened from the GSE44077 dataset. D Correlation analysis heat map of the top 10 DEGs screened from the GSE44077 dataset. E Correlation analysis of OTUD1 and SOX9 in the GSE44077 dataset. F Correlation analysis of OTUD1 and SPP1 in the GSE44077 dataset. G A heat map of the expression of the top 10 differential genes in the GSE44077 dataset. The color scale from green to red indicates the expression level of genes from low to high.