Identification of myelodysplastic syndromes related long noncoding RNA by bioinformatics / 中国临床药理学与治疗学

ABSTRACT

AIM: To identify the differentially expressed lncRNAs related to myelodysplastic syndromes by method of bioinformatics. METHODS: The GSE145733 was downloaded from GEO database; the differentially expressed lncRNAs were screened out by GEO2R. miRNA and mRNA associated with the differentially expressed lncRNAs were analyzed by the platform miRDB. lncRNA-miRNA-mRNA network was constructed and visualized by Cytoscape software. We annotated and enriched the lncRNAs to biological functions and pathways by GO and KEGG tools. RESULTS: Five differentially expressed lncRNAs were screened out. These lncRNAs were associated with 19 miRNAs and 84 mRNAs. They mainly affected the functions such as substance synthesis and transportation, gene transcription, and nervous system. CONCLUSION: We discovered the lncRNA expression characteristics in MDS patients, predicted the functions of these lncRNAs, which may provide new drug targets for the precise medication in MDS.