Chou Cheng-Chung, Lee Te-Tsui, Chen Chun-Houh, Hsiao Hsiang-Yun, Lin Yi-Ling, Ho Mei-Shang, Yang Pan-Chyr, Peck Konan
Center for Genomic Medicine, National Taiwan University, Taipei, 100, ROC.
BMC Bioinformatics. 2006 Apr 28;7:232. doi: 10.1186/1471-2105-7-232.
Most virus detection methods are geared towards the detection of specific single viruses or just a few known targets, and lack the capability to uncover the novel viruses that cause emerging viral infections. To address this issue, we developed a computational method that identifies the conserved viral sequences at the genus level for all viral genomes available in GenBank, and established a virus probe library. The virus probes are used not only to identify known viruses but also for discerning the genera of emerging or uncharacterized ones.
Using the microarray approach, the identity of the virus in a test sample is determined by the signals of both genus and species-specific probes. The genera of emerging and uncharacterized viruses are determined based on hybridization of the viral sequences to the conserved probes for the existing viral genera. A detection and classification procedure to determine the identity of a virus directly from detection signals results in the rapid identification of the virus.
We have demonstrated the validity and feasibility of the above strategy with a small number of viral samples. The probe design algorithm can be applied to any publicly available viral sequence database. The strategy of using separate genus and species probe sets enables the use of a straightforward virus identity calculation directly based on the hybridization signals. Our virus identification strategy has great potential in the diagnosis of viral infections. The virus genus and specific probe database and the associated summary tables are available at http://genestamp.sinica.edu.tw/virus/index.htm.
大多数病毒检测方法都针对特定单一病毒或仅少数已知靶点的检测,缺乏发现引发新出现病毒感染的新型病毒的能力。为解决这一问题,我们开发了一种计算方法,可识别GenBank中所有可用病毒基因组在属水平上的保守病毒序列,并建立了病毒探针库。这些病毒探针不仅用于识别已知病毒,还用于辨别新出现的或未鉴定的病毒的属。
使用微阵列方法,通过属特异性和种特异性探针的信号来确定测试样品中病毒的身份。新出现的和未鉴定的病毒的属是根据病毒序列与现有病毒属的保守探针的杂交情况来确定的。一种直接根据检测信号确定病毒身份的检测和分类程序可实现病毒的快速鉴定。
我们已通过少量病毒样本证明了上述策略的有效性和可行性。探针设计算法可应用于任何公开可用的病毒序列数据库。使用单独的属和种探针集的策略使得能够直接基于杂交信号进行简单的病毒身份计算。我们的病毒鉴定策略在病毒感染诊断中具有巨大潜力。病毒属和特异性探针数据库以及相关汇总表可在http://genestamp.sinica.edu.tw/virus/index.htm获取。