生物信息学筛选骨髓增生异常综合征相关长链非编码RNA

Identification of myelodysplastic syndromes related long noncoding RNA by bioinformatics

目的:利用生物信息学手段,分析筛选骨髓增生异常综合征(myelodysplastic syndromes,MDS)相关的长链非编码RNA(long noncoding RNA,lncRNA),并预测其功能。方法:利用基因表达汇编(Gene Expression Omnibus,GEO)中的GEO2R工具,筛选数据集GSE145733中与MDS相关的差异表达lncRNA。利用miRDB网络分析平台和Cytoscape软件,分析与差异表达lncRNA关联的微小RNA(microRNA,miRNA)和信使RNA(mRNA),构建lncRNA-miRNA-mRNA关系网络。并利用GO基因功能注释和KEGG通路富集分析,预测这些lncRNA的功能。结果:经差异分析后,筛选出5个在骨髓增生异常综合征患者中显著降低的lncRNA。这五种lncRNA主要与19种miRNA和84种mRNA显著关联。主要影响MDS相关的物质合成与转运、基因转录等生物学过程,并与神经系统功能密切相关。结论:本研究揭示了MDS患者lncRNA的表达特征,并预测了其功能,结果将为MDS的精准治疗提供新靶点。

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-miRNAmRNA 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.