Xie Ruoqi, Cao Bijin, Wu Ze, Ouyang Yi, Chen Hui, Zhai Weiwei, Liu Ze-Xian, Xu Miao, Guo Guanghui
State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou 510060, PR China.
School of Life Sciences, Zhengzhou University, Zhengzhou, China.
Comput Struct Biotechnol J. 2024 Apr 17;23:2076-2082. doi: 10.1016/j.csbj.2024.04.043. eCollection 2024 Dec.
Since Epstein-Barr virus (EBV) was discovered in 1964, it has been reported to be associated with various malignancies as well as benign diseases, and the pathogenicity of EBV has been widely studied. Several databases have been established to provide comprehensive information on the virus and its relation to diseases and introduce convenient analysis tools. Although they have greatly facilitated the analysis of EBV at the genome, gene, protein, or epitope level, they did not provide enough insight into the genomic variants of EBV, which have been suggested as relevant to diseases by multiple studies. Here, we introduce dbEBV, a comprehensive database of EBV genomic variation landscape, which contains 942 EBV genomes with 109,893 variants from different tissues or cell lines in 24 countries. The database enables the visualization of information with varying global frequencies and their relationship with the human health of each variant. It also supports phylogenetic analysis at the genome or gene level in subgroups of different characteristics. Information of interest can easily be reached with functions such as searching, browsing, and filtering. In conclusion, dbEBV is a convenient resource for exploring EBV genomic variants, freely available at http://dbebv.omicsbio.info.
自1964年发现爱泼斯坦-巴尔病毒(EBV)以来,已有报道称其与多种恶性肿瘤以及良性疾病相关,并且对EBV的致病性进行了广泛研究。已经建立了几个数据库,以提供有关该病毒及其与疾病关系的全面信息,并引入方便的分析工具。尽管它们极大地促进了在基因组、基因、蛋白质或表位水平对EBV的分析,但它们并未对EBV的基因组变异提供足够深入的了解,多项研究表明这些变异与疾病相关。在此,我们介绍dbEBV,一个关于EBV基因组变异全景的综合数据库,它包含来自24个国家不同组织或细胞系的942个EBV基因组及109,893个变异。该数据库能够可视化具有不同全球频率的信息及其与每个变异的人类健康的关系。它还支持在不同特征亚组中进行基因组或基因水平的系统发育分析。通过搜索、浏览和筛选等功能可以轻松获取感兴趣的信息。总之,dbEBV是探索EBV基因组变异的便捷资源,可在http://dbebv.omicsbio.info免费获取。