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首页> 外文期刊>Journal of Translational Medicine >Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis
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Identification of key methylation differentially expressed genes in posterior fossa ependymoma based on epigenomic and transcriptome analysis

机译:基于表观型和转录组分析的后浮位膜突瘤中键甲基化差异表达基因的鉴定

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Posterior fossa ependymoma (EPN-PF) can be classified into Group A posterior fossa ependymoma (EPN-PFA) and Group B posterior fossa ependymoma (EPN-PFB) according to DNA CpG island methylation profile status and gene expression. EPN-PFA usually occurs in children younger than 5?years and has a poor prognosis. Using epigenome and transcriptome microarray data, a multi-component weighted gene co-expression network analysis (WGCNA) was used to systematically identify the hub genes of EPN-PF. We downloaded two microarray datasets (GSE66354 and GSE114523) from the Gene Expression Omnibus (GEO) database. The Limma R package was used to identify differentially expressed genes (DEGs), and ChAMP R was used to analyze the differential methylation genes (DMGs) between EPN-PFA and EPN-PFB. GO and KEGG enrichment analyses were performed using the Metascape database. GO analysis showed that enriched genes were significantly enriched in the extracellular matrix organization, adaptive immune response, membrane raft, focal adhesion, NF-kappa B pathway, and axon guidance, as suggested by KEGG analysis. Through WGCNA, we found that MEblue had a significant correlation with EPN-PF (R?=?0.69, P?=?1?×?10–08) and selected the 180 hub genes in the blue module. By comparing the DEGs, DMGs, and hub genes in the co-expression network, we identified five hypermethylated, lower expressed genes in EPN-PFA (ATP4B, CCDC151, DMKN, SCN4B, and TUBA4B), and three of them were confirmed by IHC. ssGSEA and GSVA analysis indicated that these five hub genes could lead to poor prognosis by inducing hypoxia, PI3K-Akt-mTOR, and TNFα-NFKB pathways. Further study of these dysmethylated hub genes in EPN-PF and the pathways they participate in may provides new ideas for EPN-PF treatment.
机译:根据DNA CpG岛甲基化曲线状态和基因表达,可以将后浮游生脉(EPN-PF)分类为分类成群后部浮肿(EPN-PFA)和B组后骨膜膜瘤(EPN-PFB)。 EPN-PFA通常发生在5岁以下的儿童中,预后不良。使用表观群组和转录组微阵列数据,使用多组分加权基因共表达网络分析(WGCNA)来系统地鉴定EPN-PF的轮毂基因。我们从基因表达式omnibus(Geo)数据库下载了两个微阵列数据集(GSE66354和GSE114523)。利用LiMMA R包来鉴定差异表达基因(DEG),CHAPCH R用于分析EPN-PFA和EPN-PFB之间的差分甲基化基因(DMG)。使用FileScape数据库进行Go和Kegg Encreichment分析。 GO分析表明,如Kegg分析所暗示的,在细胞外基质组织,适应性免疫应答,膜筏,局灶性粘附,NF-Kappa途径和轴突引导中,富集的基因显着富集。通过WGCNA,我们发现MEBLUE与EPN-PF(R?= 0.69,P?1?×10-08)具有显着的相关性,并在蓝色模块中选择了180个枢纽基因。通过将DEGS,DMGS和集线器基因进行比较在共表达网络中,我们鉴定了ePN-PFA(ATP4B,CCDC151,DMKN,SCN4B,SCN4B和TUBA4B)中的五个高甲基化的低表达基因,并且通过IHC确认其中三种。 SSGSEA和GSVA分析表明,这五个轮毂基因可能通过诱导缺氧,PI3K-AKT-MTOR和TNFα-NFKB途径导致预后差。进一步研究EPN-PF中的这些可染色的枢纽基因和它们参与的途径可以为EPN-PF处理提供新的思路。

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