Microarray-based detection and genotyping of viral pathogens

被引:550
|
作者
Wang, D
Coscoy, L
Zylberberg, M
Avila, PC
Boushey, HA
Ganem, D
DeRisi, JL [1 ]
机构
[1] Univ Calif San Francisco, Dept Biochem & Biophys, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Microbiol & Immunol, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Med, San Francisco, CA 94143 USA
[4] Univ Calif San Francisco, Howard Hughes Med Inst, San Francisco, CA 94143 USA
关键词
D O I
10.1073/pnas.242579699
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The detection of viral pathogens is of critical importance in biology, medicine, and agriculture. Unfortunately, existing techniques to screen for a broad spectrum of viruses suffer from severe limitations. To facilitate the comprehensive and unbiased analysis of viral prevalence in 6 given biological setting, we have developed a genomic strategy for highly parallel viral screening. The cornerstone of this approach is a long oligonucleotide (70-mer) DNA microarray capable of simultaneously detecting hundreds of viruses. Using virally infected cell cultures, we were able to efficiently detect and identify many diverse viruses. Related viral serotypes could be distinguished by the unique pattern of hybridization generated by each virus. Furthermore, by selecting microarray elements derived from highly conserved regions within viral families, individual viruses that were not explicitly represented on the microarray were still detected, raising the possibility that this approach could be used for virus discovery. Finally, by using a random PCR amplification strategy in conjunction with the microarray, we were able to detect multiple viruses in human respiratory specimens without the use of sequence-specific or degenerate primers. This method is versatile and greatly expands the spectrum of detectable viruses in a single assay while simultaneously providing the capability to discriminate among viral subtypes.
引用
收藏
页码:15687 / 15692
页数:6
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