1 Centre for Bioinformatics, School of Life Sciences, Pondicherry University , Puducherry, India .
2 Biomedical Informatics Centre, Vector Control Research Centre , Puducherry, India .
Viral Immunol. 2018 May;31(4):321-332. doi: 10.1089/vim.2017.0116. Epub 2018 Apr 2.
Zika virus (ZIKV), a single-strand RNA flavivirus, is transmitted primarily through Aedes aegypti. The recent outbreaks in America and unexpected association between ZIKV infection and birth defects have triggered the global attention. This vouches to understand the molecular mechanisms of ZIKV infection to develop effective drug therapy. A systems-level understanding of biological process affected by ZIKV infection in fetal brain sample led us to identify the candidate genes for pharmaceutical intervention and potential biomarkers for diagnosis. To identify the key genes, transcriptomics data (RNA-Seq) with GSE93385 of ZIKV (Strain: MR766) infected human fetal neural stem cell are analyzed. In total, 1,084 differentially expressed genes (DEGs) are identified, that is, 471 upregulated and 613 downregulated genes. Further analysis such as the gene ontology term suggested that the downregulated genes are mostly enriched in defense response to virus, receptor binding, laminin binding, extracellular matrix, endoplasmic reticulum, and for upregulated DEGs: translation initiation, RNA binding, cytosol, and nucleosome are enriched. And through pathway analysis, systemic lupus erythematosus (SLE) is found to be the most enriched pathway. Protein-protein interaction (PPI) network is constructed to find the hub genes using STRING database. The seven key genes namely cyclin-dependent kinase 1 (CDK1), cyclin B1 (CCNB1), histone cluster 1 H2B family member K, (HIST1H2BK) histone cluster 1 H2B family member O (HIST1H2BO), and histone cluster 1 H2B family member B (HIST1H2BB), polo-like kinase 1 (PLK1), and cell division cycle 20 (CDC20) with highest degree are found to be hub genes using Centiscape, a Cytoscape plugin. The modules of PPI network using Molecular Complex Detection plugin are found significant in structural constituent of ribosome, defense response to virus, nucleosome, SLE, extracellular region, and regulation of gene silencing. Thus, identified key hub genes and pathways shed light on molecular mechanism that may contribute to the discovery of novel therapeutic targets and development of new strategies for the intervention of ZIKV disease.
寨卡病毒(ZIKV)是一种单链 RNA 黄病毒,主要通过埃及伊蚊传播。最近在美国的爆发以及寨卡病毒感染与出生缺陷之间的意外关联引起了全球关注。这证明了要了解寨卡病毒感染的分子机制,以开发有效的药物治疗方法。对寨卡病毒感染胎儿脑样本中受影响的生物学过程进行系统水平的了解,使我们能够确定药物干预的候选基因和潜在的诊断生物标志物。为了鉴定关键基因,对 ZIKV(MR766 株)感染人胎儿神经干细胞的转录组学数据(RNA-Seq)进行了分析。总共鉴定出 1084 个差异表达基因(DEGs),即 471 个上调基因和 613 个下调基因。进一步的分析,如基因本体论术语表明,下调基因主要富集在抗病毒防御反应、受体结合、层粘连蛋白结合、细胞外基质、内质网,而上调 DEGs 则富集在翻译起始、RNA 结合、细胞质和核小体。通过通路分析,发现系统性红斑狼疮(SLE)是最富集的通路。使用 STRING 数据库构建蛋白质-蛋白质相互作用(PPI)网络,以找到关键基因。使用 Centiscape 插件,发现 CDK1、CCNB1、HIST1H2BK、HIST1H2BO、HIST1H2BB、PLK1 和 CDC20 这七个关键基因具有最高的度数,被认为是核心基因。使用 Molecular Complex Detection 插件发现 PPI 网络的模块在核糖体的结构成分、抗病毒防御反应、核小体、SLE、细胞外区域和基因沉默调节方面具有显著意义。因此,确定的关键基因和通路为寨卡病毒病的新治疗靶点的发现和新策略的制定提供了分子机制方面的启示。