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- W3147662018 abstract "To improve treatment strategies of glioma, microarray data were applied to screen target molecules that were regulated by microRNAs (miRNAs). GSE31262 was downloaded from Gene Expression Omnibus, includ- ing five neural stem cells samples from normal human and nine stem cells samples from glioma patients. Differen- tially expressed genes (DEGs) were identified with Mult- test package and Limma package of R language, and false discovery rate 0.05 and |log2FC (fold change)| (1 were chosen as cut-off criterion. Hierarchical clustering and pathway enrichment analysis of DEGs were performed using pheatmap package of R language and KOBAS soft- ware, respectively. miRNAs related to up- and down-reg- ulated DEGs were, respectively, predicted by WebGestalt software and its miRNAs-target DEGs interaction network were, respectively, constructed by STRING database. Bingo plug-in in Cytoscape software was applied to ana- lyze Gene Ontology functional enrichment analysis for up- and down-regulated DEGs in network, respectively. A total of 428 DEGs were selected, including 331 down-regulated and 97 up-regulated DEGs. Hierarchical clustering analysis showed that glioma samples and normal samples were completely separated. Pathway analysis indicated that CDK2 and WEE1 participated in the cell cycle. miR-124 could simultaneously regulate up-regulated (ELAVL1 and EZH2) and down-regulated (BACE1) DEGs. The down- regulated genes (KIF23, WEE1 and CDK2) were associated with cell division, while the up-regulated genes (PLP1 and MBP) were related to myelination of neurons. miR-124 might participate in development of glioma by regulating BACE1, ELAVL1 and EZH2. The biomarkers (KIF23, WEE1, CDK2, PLP1 and MBP) were considered as ther- apeutic targets of glioma." @default.
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- W3147662018 date "2015-01-01" @default.
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- W3147662018 title "Gene expression analyses to explore the biomarkers and therapeutic targets for gliomas" @default.
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