Analyzing the interactions of mRNAs, miRNAs, lncRNAs and circRNAs to predict competing endogenous RNA networks in glioblastoma

摘要: Cross-talk between competitive endogenous RNAs (ceRNAs) may play a critical role in revealing potential mechanisms of tumor development and physiology. Glioblastoma is the most common type malignant primary brain tumor, genesis glioblastoma are unclear. Here, to investigate non-coding ceRNA network glioblastoma, we performed paired-end RNA sequencing microarray analyses obtain expression profiles mRNAs, lncRNAs, circRNAs miRNAs. We identified that 501 1999 2038 143 miRNAs were often altered matched normal tissue. Gene ontology Kyoto Encyclopedia Genes Genomes pathway on these differentially expressed mRNAs miRNA-mediated target genes lncRNAs circRNAs. Furthermore, used multi-step computational framework several bioinformatics methods construct combining miRNAs, circRNA, based co-expression analysis RNAs. plenty CircRNAs their downstream related glutamatergic synapse, suggesting glutamate metabolism involved glioma biological functions. Our results will accelerate understanding tumorigenesis, cancer progression even therapeutic targeting glioblastoma.