PDF(Pubmed)
Abstract：
Nipah virus (NiV) is an ssRNA, enveloped paramyxovirus in the genus Henipaveridae with a case fatality rate >70%. We analyzed the NGS RNA-Seq gene expression data of NiV to detect differentially expressed genes (DEGs) using the statistical R package limma. We used the Cytoscape, Ensembl, and STRING tools to construct the gene-gene interaction tree, phylogenetic gene tree and protein-protein interaction networks towards functional annotation. We identified 2707 DEGs (p-value <0.05) among 54359 NiV genes. The top-up and down-regulated DEGs were EPST1, MX1, IFIT3, RSAD2, OAS1, OASL, CMPK2 and SLFN13, SPAC977.17 using log2FC criteria with optimum threshold 1.0. The top 20 up-regulated gene-gene interaction trees showed no significant association between Nipah and Tularemia virus. Similarly, the top 20 down-regulated genes of neither Ebola nor Tularemia virus showed an association with the Nipah virus. Hence, we document the top-up and down-regulated DEGs for further consideration as biomarkers and candidates for vaccine or drug design against Nipah virus to combat infection.
摘要：
尼帕病毒（NiV）是一种ssRNA，亨氏科中包膜副粘病毒，病死率>70％。我们分析了NiV的NGSRNA-Seq基因表达数据，以使用统计R包limma检测差异表达基因（DEG）。我们使用了Cytoscape,Ensembl,和STRING工具来构建基因-基因相互作用树，面向功能注释的系统发育基因树和蛋白质-蛋白质相互作用网络。我们在54359个NiV基因中鉴定了2707个DEGs(p值<0.05)。上调和下调的DEG分别为EPST1、MX1、IFIT3、RSAD2、OAS1、OASL、CMPK2和SLFN13，SPAC977.17使用log2FC标准和最佳阈值1.0。前20个上调的基因-基因相互作用树显示Nipah和Tularemia病毒之间没有显着关联。同样，埃博拉病毒和Tularemia病毒的前20个下调基因均未显示与Nipah病毒有关。因此，我们记录了加高和下调的DEGs,以进一步考虑作为生物标志物和候选物,用于设计抗尼帕病毒的疫苗或药物以对抗感染.
