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Sub-pathway analysis for severe burns injury patients: Identification of potential key lncRNAs by analyzing lncRNA-mRNA

机译:严重烧伤损伤患者的亚途径分析:通过分析LNCRNA-mRNA鉴定潜在键LNCRNA

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The aim of the study was to identify key long non-coding RNAs (lncRNA) and related subpathways following severe burn injuries and research their functions. The miRNA-mRNA and lncRNA-miRNA interactions were downloaded from starBase v2.0 database. In addition, mRNA-miRNA interactions were obtained from TarBase, mirTarBase, mir2Disease, miRecords (V4.0) databases. The relationships of lncRNA-miRNA-mRNA were constructed. Genes of expression profiling were intersected with mRNA and lncRNA in lncRNA-mRNA interaction. Screened mRNAs were enriched into various pathways and screened lncRNAs were embedded into candidate pathways. Wallenius approximation methods were used to calculate the false discovery rate value of each sub-pathway. Based on the results of significant sub-pathways, the related lncRNA-mRNA network was constructed. A total of 18,081 genes were obtained. The lncRNA-mRNA intersections including 835 lncRNAs, 1,749 mRNAs and 7,693 interacting pairs were constructed. The enriched mRNAs were further enriched into various candidate pathways such as ribosome biogenesis in eukaryotes. Several sub-pathways were screened, including ribosome biogenesis in eukaryotes and MAPK signaling pathway. The network of pathway-lncRNA-mRNA was constructed. Hub-genes were identified, including C14orf169 and YLPM1. Several hub-lncRNAs were obtained, including PRKAG2 antisense RNA 1 and LEF1 antisense RNA 1. Several hub-lncRNAs including C14orf169, YLPM1, TTTY15, and PCBP1-AS1 were screened. The sub-pathways regulated by these lncRNAs were identified, and functions were predicted.
机译:该研究的目的是鉴定严重燃烧伤害后识别关键的长期非编码RNA(LNCRNA)和相关肢体,并研究其功能。从Starbase V2.0数据库下载miRNA-mRNA和LNCRNA-miRNA相互作用。另外,从Tarbase,Mirtarbase,MiR2Disease,Mirecords(V4.0)数据库中获得mRNA-miRNA相互作用。构建了LNCRNA-miRNA-mRNA的关系。在LNCRNA-mRNA相互作用中用mRNA和LNCRNA与mRNA和LNCRNA相交。将筛选的MRNA富集到各种途径中,并将筛选的LNCRNA嵌入候选途径中。 Wallenius近似方法用于计算每个子路径的错误发现率值。基于显着子路径的结果,构建了相关的LNCRNA-mRNA网络。获得总共18,081个基因。构建了包括835克隆,1,749mRNA和7,693个相互作用对的LNCRNA-mRNA交叉点。将富集的MRNA进一步富集成各种候选途径,例如在真核生物中的核糖体生物发生。筛选了几个亚途径,包括在真核生物和MAPK信号通路中的核糖体生物发生。构建了途径-LNCRNA-mRNA网络。鉴定了轮毂基因,包括C140RF169和YLPM1。获得了几个集线器,包括Prkag2反义RNA 1和LEF1反义RNA 1.筛选包括C140RF169,YLPM1,TTTY15和PCBP1-AS1的几个枢纽-LNCRNA。鉴定了这些LNCRNA调节的子路径,并预测了功能。

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