Construction of a ZIKV-host protein-protein interaction network

寨卡病毒（ZIKV）是一种蚊媒黄病毒，据报道目前在26个国家和地区传播， 拉丁美洲和加勒比。虽然感染者通常没有症状或只有轻微的 症状，新出现的证据开始将ZIKV感染与胎儿和新生儿小头畸形联系起来， 神经系统并发症，如格林-巴利综合征。世界卫生组织宣布， 2016年2月1日国际关注。尽管ZIKV的结构、嗜性和发病机制在很大程度上是未知的， 尽管目前还不清楚，但最近的几项研究开始揭示这种病毒的病因。事实上，最近的研究 Ming及其同事发表的研究表明，ZIKV特异性感染人类神经元祖细胞。 下一个重要的步骤是阐明ZIKV-宿主相互作用的分子机制。已经充分 一旦病毒进入宿主细胞，它就会劫持细胞机器，主要是通过直接，物理 与宿主蛋白质接触。因此，构建ZIKV-宿主蛋白质-蛋白质相互作用网络将极大地 有助于我们理解ZIKV生命周期的分子机制。此外，ZIKV的比较- 宿主与登革病毒（DENV）的相互作用将为我们提供重要线索，以确定新的 治疗目标具体而言，我们计划：1）构建ZIKV和DENV-宿主蛋白-蛋白相互作用 2）预测哪些宿主因素在ZIKV-宿主相互作用中起重要作用;以及3）重新评估 使用基于细胞的方法鉴定ZIKV宿主PPI。该项目的成功将为我们提供一个全球PPI ZIKV和人类蛋白质组之间的网络。ZIKV-host和DENV-host PPI网络之间的比较 将提高我们识别重要宿主因子和/或通常被利用的途径的可能性 被黄病毒感染我们相信，PPI数据集将成为识别新的 这将极大地促进新疗法和疫苗的开发。

Zika virus (ZIKV), a mosquito-borne flavivirus, is now reported to be circulating in 26 countries and territories in Latin America and the Caribbean. While infected individuals can often be asymptomatic or have only mild symptoms, emerging evidence starts to link ZIKV infection to fetal and newborn microcephaly and serious neurological complications, such as Guillain-Barré syndrome. The WHO declared a Public Health Emergency of International Concern on Feb 1 of 2016. Though the structure, tropism and pathogenesis of ZIKV are largely unknown, several recent studies started to shed lights on the etiology of the virus. Indeed, recent studies published by Ming and colleagues demonstrated that ZIKV specifically infect human neuronal progenitor cells. The next important step is to elucidate the molecular mechanism of ZIKV-host interactions. It has been well documented that once a virus enters the host cell, it hijacks the cellular machineries, mainly via direct, physical contacts with host proteins. Therefore, construction of a ZIKV-host protein-protein interaction network will greatly facilitate our understanding of the molecular mechanism of ZIKV life cycle. In addition, comparison of the ZIKV- host interactions with dengue virus (DENV)-host interactions will provide us important clues to identify novel therapeutic targets. Specifically, we plan to: 1) Construct ZIKV and DENV-host protein-protein interaction networks; 2) Predict which host factor(s) plays an important role in ZIKV-host interactions; and 3) Validate newly identified ZIKV-host PPIs using cell-based approaches. The success of this project will provide us a global PPI network between ZIKV and human proteome. The comparison between ZIKV-host and DENV-host PPI networks will improve the likelihood for us to identify important host factors and/or pathways that are commonly exploited by the flavivirus. We believe that PPI datasets will serve as an important stepping stone towards identifying novel drug targets that will greatly facilitate development of novel therapeutics and vaccines.