Jabado Omar J, Liu Yang, Conlan Sean, Quan P Lan, Hegyi Hédi, Lussier Yves, Briese Thomas, Palacios Gustavo, Lipkin W I
Center for Infection and Immunity, Mailman School of Public Health, Columbia University, 722 West 168th Street, Room 1801, New York, NY 10032, USA.
Nucleic Acids Res. 2008 Jan;36(1):e3. doi: 10.1093/nar/gkm1106. Epub 2007 Dec 13.
Oligonucleotide microarrays have been applied to microbial surveillance and discovery where highly multiplexed assays are required to address a wide range of genetic targets. Although printing density continues to increase, the design of comprehensive microbial probe sets remains a daunting challenge, particularly in virology where rapid sequence evolution and database expansion confound static solutions. Here, we present a strategy for probe design based on protein sequences that is responsive to the unique problems posed in virus detection and discovery. The method uses the Protein Families database (Pfam) and motif finding algorithms to identify oligonucleotide probes in conserved amino acid regions and untranslated sequences. In silico testing using an experimentally derived thermodynamic model indicated near complete coverage of the viral sequence database.
寡核苷酸微阵列已应用于微生物监测和发现领域,在这些领域中,需要高度多重检测来处理广泛的遗传靶点。尽管打印密度不断提高,但设计全面的微生物探针集仍然是一项艰巨的挑战,尤其是在病毒学领域,快速的序列进化和数据库扩展使静态解决方案变得复杂。在这里,我们提出了一种基于蛋白质序列的探针设计策略,该策略能够应对病毒检测和发现中提出的独特问题。该方法使用蛋白质家族数据库(Pfam)和基序查找算法来识别保守氨基酸区域和非翻译序列中的寡核苷酸探针。使用实验得出的热力学模型进行的计算机模拟测试表明,该方法几乎完全覆盖了病毒序列数据库。