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Information Journal Paper

Title

Gene Expression Microarray Data Meta-Analysis Identifies Candidate Genes and Molecular Mechanism Associated with Clear Cell Renal Cell Carcinoma

Pages

  386-393

Abstract

 Objective: We aimed to explore potential molecular mechanisms of Clear Cell Renal Cell Carcinoma (ccRCC) and provide candidate target genes for ccRCC gene therapy. Material and Methods: This is a bioinformatics-based study. Microarray datasets of GSE6344, GSE781 and GSE53000 were downloaded from Gene Expression Omnibus database. Using meta-analysis, differentially expressed genes (DEGs) were identified between ccRCC and normal samples, followed by Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway and Gene Ontology (GO) function analyses. Then, protein-protein interaction (PPI) networks and modules were investigated. Furthermore, miRNAs-target gene regulatory network was constructed. Results: Total of 511 up-regulated and 444 down-regulated DEGs were determined in the present gene expression microarray data meta-analysis. These DEGs were enriched in functions like immune system process and pathways like Toll-like receptor signaling pathway. PPI network and eight modules were further constructed. A total of 10 outstanding DEGs including TYRO protein tyrosine kinase binding protein (TYROBP), interferon regulatory factor 7 (IRF7) and PPARG co-activator 1 alpha (PPARGC1A) were detected in PPI network. Furthermore, the miRNAs-target gene regulation analyses showed that miR-412 and miR-199b respectively targeted IRF7 and PPARGC1A to regulate the Immune Response in ccRCC. Conclusion: TYROBP, IRF7 and PPARGC1A might play important roles in ccRCC via taking part in the immune system process.

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    Cite

    APA: Copy

    WANG, YING, Wei, Haibin, Song, Lizhi, XU, LU, Bao, Jingyao, & Liu, Jiang. (2020). Gene Expression Microarray Data Meta-Analysis Identifies Candidate Genes and Molecular Mechanism Associated with Clear Cell Renal Cell Carcinoma. CELL JOURNAL (YAKHTEH), 22(3), 386-393. SID. https://sid.ir/paper/738127/en

    Vancouver: Copy

    WANG YING, Wei Haibin, Song Lizhi, XU LU, Bao Jingyao, Liu Jiang. Gene Expression Microarray Data Meta-Analysis Identifies Candidate Genes and Molecular Mechanism Associated with Clear Cell Renal Cell Carcinoma. CELL JOURNAL (YAKHTEH)[Internet]. 2020;22(3):386-393. Available from: https://sid.ir/paper/738127/en

    IEEE: Copy

    YING WANG, Haibin Wei, Lizhi Song, LU XU, Jingyao Bao, and Jiang Liu, “Gene Expression Microarray Data Meta-Analysis Identifies Candidate Genes and Molecular Mechanism Associated with Clear Cell Renal Cell Carcinoma,” CELL JOURNAL (YAKHTEH), vol. 22, no. 3, pp. 386–393, 2020, [Online]. Available: https://sid.ir/paper/738127/en

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