Infection and Immunity Program, Biomedicine Discovery Institute, Monash University, Melbourne, VIC 3800, Australia.
Department of Microbiology, Monash University, Melbourne, VIC 3800, Australia.
Sci Rep. 2017 Mar 30;7:45509. doi: 10.1038/srep45509.
Measuring the altered gene expression level and identifying differentially expressed genes/proteins during HIV infection, replication and latency is fundamental for broadening our understanding of the mechanisms of HIV infection and T-cell dysfunction. Such studies are crucial for developing effective strategies for virus eradication from the body. Inspired by the availability and enrichment of gene expression data during HIV infection, replication and latency, in this study, we proposed a novel compendium termed HIVed (HIV expression database; http://hivlatency.erc.monash.edu/) that harbours comprehensive functional annotations of proteins, whose genes have been shown to be dysregulated during HIV infection, replication and latency using different experimental designs and measurements. We manually curated a variety of third-party databases for structural and functional annotations of the protein entries in HIVed. With the goal of benefiting HIV related research, we collected a number of biological annotations for all the entries in HIVed besides their expression profile, including basic protein information, Gene Ontology terms, secondary structure, HIV-1 interaction and pathway information. We hope this comprehensive protein-centric knowledgebase can bridge the gap between the understanding of differentially expressed genes and the functions of their protein products, facilitating the generation of novel hypotheses and treatment strategies to fight against the HIV pandemic.
测量 HIV 感染、复制和潜伏期间改变的基因表达水平并鉴定差异表达的基因/蛋白质,对于加深我们对 HIV 感染和 T 细胞功能障碍机制的理解至关重要。这些研究对于开发从体内清除病毒的有效策略至关重要。受 HIV 感染、复制和潜伏期间基因表达数据的可用性和丰富性的启发,在本研究中,我们提出了一个新的汇编,称为 HIVed(HIV 表达数据库;http://hivlatency.erc.monash.edu/),其中包含了综合的蛋白质功能注释,这些基因在使用不同的实验设计和测量时表现出失调。我们手动整理了各种第三方数据库,以对 HIVed 中的蛋白质条目进行结构和功能注释。为了使 HIV 相关研究受益,我们除了表达谱之外,还为 HIVed 中的所有条目收集了许多生物学注释,包括基本蛋白质信息、GO 术语、二级结构、HIV-1 相互作用和途径信息。我们希望这个全面的以蛋白质为中心的知识库可以弥合差异表达基因的理解和其蛋白质产物功能之间的差距,促进新的假说和治疗策略的产生,以对抗 HIV 大流行。