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Identification of the miR-423-3p/VLDLR Regulatory Network for Glioma Using Transcriptome Analysis

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Abstract

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.

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Funding

Our project was funded by the Shenzhen Science and Technology Innovation Project (2020) No. 11 (JCYJ20190822090801701) and the San Ming Project of Shenzhen City, China (Grant No. SZSM201812096).

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Authors and Affiliations

  1. Department of Clinical Medicine, Weifang Medical University, Weifang, China

    Ying Song

  2. Department of Neurology, Peking University Shenzhen Hospital, Shenzhen, China

    Ying Song, Huili Jiao, Xiaoyun Zhang, Xiao Chen, Zhiqiang Wei & Li Yi

  3. Department of Hepatobiliary Surgery, Peking University Shenzhen Hospital, Shenzhen, China

    Qirui Lin

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  1. Ying Song
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  4. Xiaoyun Zhang
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  5. Xiao Chen
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Contributions

YS conceptualized and designed the study. YS, QL, XZ conducted the analysis. XC, ZW and HJ wrote the article. All authors reviewed and approved the final draft.

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Correspondence to Li Yi.

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Song, Y., Jiao, H., Lin, Q. et al. Identification of the miR-423-3p/VLDLR Regulatory Network for Glioma Using Transcriptome Analysis. Neurochem Res 47, 3864–3901 (2022). https://doi.org/10.1007/s11064-022-03774-y

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  • DOI: https://doi.org/10.1007/s11064-022-03774-y

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