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通过生物信息学分析鉴定卵巢子宫内膜异位症关键差异甲基化/表达基因及通路

Identification of Key Differentially Methylated/Expressed Genes and Pathways for Ovarian Endometriosis by Bioinformatics Analysis.

作者信息

Zhang Haibo, Wu Jianlei, Li Yan, Jin Ge, Tian Yunjie, Kang Shan

机构信息

Department of Gynecology, Hebei Medical University Fourth Hospital, Jiankanglu 12, Shijiazhuang, 050011, People's Republic of China.

Department of Molecular Biology, Hebei Medical University Fourth Hospital, Shijiazhuang, People's Republic of China.

出版信息

Reprod Sci. 2022 May;29(5):1630-1643. doi: 10.1007/s43032-021-00751-8. Epub 2021 Oct 20.

Abstract

The goal of this study was to identify genes that were differentially methylated and differentially expressed and their related signaling pathways in ovarian endometriosis tissue. First, the DNA methylation and gene expression profiles in the endometrial tissue of patients with ovarian endometriosis were studied using Illumina 450K methylation microarray analysis and the GSE141549 gene expression dataset. Second, differentially methylated and differentially expressed genes, herein referred to as differentially methylated/expressed genes, were identified and protein-protein interaction networks and functional analysis of these genes were determined. Third, qPCR and immunohistochemistry of patient samples was used to confirm the differential expression of a subset of differentially methylated/expressed genes. Finally, the GSE7305 dataset was used confirm the expression profile of differentially methylated/expressed genes and to determine the potential usefulness of these genes for diagnosis of endometriosis. A total of 37 hypermethylated low-expression genes and 66 hypomethylated high-expression genes were identified in ovarian endometriosis patients. Protein-protein interaction and functional analysis highlighted 8 hypermethylated low-expression genes (KRT19, KRT8, ESR1, PRL, SFN, IL20RA, IL2RB, and PAX8) and 4 hypomethylated high-expression genes (CYP11A1, NR5A1, ME1, and GSTM1). Significantly, both of these gene sets had a diagnostic value for patients with ovarian endometriosis. Signaling pathways that were identified included JAK-STAT (involving IL20RA and IL2RB), prolactin (involving PRL and ESR1), Staphylococcus aureus infection (involving KRT19), viral protein interaction with cytokine and cytokine receptor (involving IL20RA and IL2RB), cytokine-cytokine receptor interaction (involving IL20RA and IL2RB), and drug metabolism-cytochrome P450 (involving GSTM1). The differentially methylated/expressed genes and enriched signaling pathways identified in this study are likely to be associated with the process of ovarian endometriosis.

摘要

本研究的目的是鉴定卵巢子宫内膜异位症组织中差异甲基化和差异表达的基因及其相关信号通路。首先,使用Illumina 450K甲基化微阵列分析和GSE141549基因表达数据集研究卵巢子宫内膜异位症患者子宫内膜组织中的DNA甲基化和基因表达谱。其次,鉴定差异甲基化和差异表达的基因,在此称为差异甲基化/表达基因,并确定这些基因的蛋白质-蛋白质相互作用网络和功能分析。第三,使用患者样本的qPCR和免疫组织化学来确认一部分差异甲基化/表达基因的差异表达。最后,使用GSE7305数据集确认差异甲基化/表达基因的表达谱,并确定这些基因在子宫内膜异位症诊断中的潜在用途。在卵巢子宫内膜异位症患者中总共鉴定出37个高甲基化低表达基因和66个低甲基化高表达基因。蛋白质-蛋白质相互作用和功能分析突出显示了8个高甲基化低表达基因(KRT19、KRT8、ESR1、PRL、SFN、IL20RA、IL2RB和PAX8)和4个低甲基化高表达基因(CYP11A1、NR5A1、ME1和GSTM1)。值得注意的是,这两组基因对卵巢子宫内膜异位症患者均具有诊断价值。鉴定出的信号通路包括JAK-STAT(涉及IL20RA和IL2RB)、催乳素(涉及PRL和ESR1)、金黄色葡萄球菌感染(涉及KRT19)、病毒蛋白与细胞因子和细胞因子受体的相互作用(涉及IL20RA和IL2RB)、细胞因子-细胞因子受体相互作用(涉及IL20RA和IL2RB)以及药物代谢-细胞色素P450(涉及GSTM1)。本研究中鉴定出的差异甲基化/表达基因和富集的信号通路可能与卵巢子宫内膜异位症的发生过程有关。

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