Department of Clinical Medicine, Weifang Medical University, Weifang, China.
Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China.
Neurochem Res. 2022 Dec;47(12):3864-3901. doi: 10.1007/s11064-022-03774-y. Epub 2022 Nov 9.
As the most prevalent primary CNS tumor, glioma is characterized by high mortality and morbidity. This research aims to investigate glioma-associated microRNAs (miRNAs) and their target mRNAs, as well as to explore their biological functions in gliomas. The Gene Expression Omnibus (GEO) database was applied to acquire the GSE112264 miRNA microarray dataset and the GSE15824 mRNA dataset. We selected samples from the GSE112264 dataset and the GSE15824 to identify differently expressed miRNAs (DE-miRNAs) as well as differentially expressed mRNAs (DEGs), respectively. Next, the intersections of mRNA and target mRNAs of miRNA were selected, and we constructed miRNA-mRNA regulation networks. These DEGs were selected for Gene Oncology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses by conducting the package clusterProfiler. After conducting Cytoscape software, a protein-protein interaction (PPI) network was created. Next, survival analysis of the miR-423-3p was confirmed by conducting TCGA database. Subsequently, Quantitative real-time PCR (qRT-PCR) was conducted to verify miR-423-3p's expression. Finally, miR-423-3p's biological functions of in effecting the cell proliferative, migratory, and invasive capabilities of glioma were investigated by performing Cell Counting Kit-8 (CCK-8) and Transwell assays. Our analysis elucidated a novel miRNA-mRNA regulatory network related to glioma carcinogenesis, which may be considered as future therapeutic biomarkers for glioma.
作为最常见的原发性中枢神经系统肿瘤，神经胶质瘤的特点是死亡率和发病率高。本研究旨在探讨与神经胶质瘤相关的 microRNAs（miRNAs）及其靶 mRNA，并探讨它们在神经胶质瘤中的生物学功能。应用基因表达综合数据库（GEO）获取 GSE112264 miRNA 微阵列数据集和 GSE15824 mRNA 数据集。我们从 GSE112264 数据集和 GSE15824 中选择样本，分别鉴定差异表达的 miRNAs（DE-miRNAs）和差异表达的 mRNAs（DEGs）。然后，选择 miRNA 和 mRNA 的靶 mRNA 的交集，并构建 miRNA-mRNA 调控网络。通过执行包 clusterProfiler，对这些 DEGs 进行基因肿瘤学（GO）和京都基因与基因组百科全书（KEGG）通路富集分析。在进行 Cytoscape 软件后，创建了一个蛋白质-蛋白质相互作用（PPI）网络。然后，通过 TCGA 数据库进行 miR-423-3p 的生存分析。随后，通过定量实时 PCR（qRT-PCR）验证 miR-423-3p 的表达。最后，通过 CCK-8 和 Transwell 测定法研究 miR-423-3p 对神经胶质瘤细胞增殖、迁移和侵袭能力的影响，验证 miR-423-3p 的生物学功能。我们的分析阐明了一个与神经胶质瘤发生相关的新的 miRNA-mRNA 调控网络，它可能被认为是神经胶质瘤的未来治疗生物标志物。
