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ZIKAVID-Zika virus infection database: a new platform to analyze the molecular impact of Zika virus infection.
Journal of Neurovirology ( IF 3.2 ) Pub Date : 2019-09-11 , DOI: 10.1007/s13365-019-00799-y
Rafael L Rosa 1, 2 , Lucélia Santi 1, 2 , Markus Berger 2 , Emanuela F Tureta 1 , André Quincozes-Santos 3 , Diogo O Souza 3 , Jorge A Guimarães 2 , Walter O Beys-da-Silva 1, 2
Affiliation  

The recent outbreak of Zika virus (ZIKV) in Brazil and other countries globally demonstrated the relevance of ZIKV studies. During and after this outbreak, there was an intense increase in scientific production on ZIKV infections, especially toward alterations promoted by the infection and related to clinical outcomes. Considering this massive amount of new data, mainly thousands of genes and proteins whose expression is impacted by ZIKV infection, the ZIKA Virus Infection Database (ZIKAVID) was created. ZIKAVID is an online database that comprises all genes or proteins, and associated information, for which expression was experimentally measured and found to be altered after ZIKV infection. The database, available at https://zikavid.org, contains 16,984 entries of gene expression measurements from a total of 7348 genes. It allows users to easily perform searches for different experimental hosts (cell lines, tissues, and animal models), ZIKV strains (African, Asian, and Brazilian), and target molecules (messenger RNA [mRNA] and protein), among others, used in differential expression studies regarding ZIKV infection. In this way, the ZIKAVID will serve as an additional and important resource to improve the characterization of the molecular impact and pathogenesis associated with ZIKV infection.

中文翻译:

ZIKAVID-寨卡病毒感染数据库:分析寨卡病毒感染分子影响的新平台。

最近在巴西和全球其他国家爆发的寨卡病毒 (ZIKV) 证明了寨卡病毒研究的相关性。在这次疫情爆发期间和之后,关于 ZIKV 感染的科学产出急剧增加,特别是在感染促进的和与临床结果相关的变化方面。考虑到如此大量的新数据,主要是数千个基因和蛋白质的表达受到 ZIKV 感染的影响,因此创建了 ZIKA 病毒感染数据库 (ZIKAVID)。ZIKAVID 是一个在线数据库,包含所有基因或蛋白质以及相关信息,其表达经过实验测量,发现在 ZIKV 感染后发生改变。该数据库可在 https://zikavid.org 获得,包含来自总共 7348 个基因的 16,984 个基因表达测量条目。它允许用户轻松搜索不同的实验宿主(细胞系、组织和动物模型)、ZIKV 毒株(非洲、亚洲和巴西)和目标分子(信使 RNA [mRNA] 和蛋白质)等,使用在关于 ZIKV 感染的差异表达研究中。通过这种方式,ZIKAVID 将作为一种额外且重要的资源来改善与 ZIKV 感染相关的分子影响和发病机制的表征。
更新日期:2019-11-01
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