Microbial Forensics: Fiber Optic Microarray Subtyping of Bacillus anthracis

被引:0
|
作者
Shepard, Jason R. E. [1 ]
机构
[1] SUNY Albany, Dept Chem, Albany, NY 12222 USA
来源
ADVANCED ENVIRONMENTAL, CHEMICAL, AND BIOLOGICAL SENSING TECHNOLOGIES VI | 2009年 / 7312卷
关键词
fiber optic; microarray; pathogen detection; E; coli; Bacillus anthracis; ESCHERICHIA-COLI O157-H7; IMAGING MEASUREMENTS; DNA; ARRAY; SEQUENCE; IDENTIFICATION; BIOSENSOR; BACTERIAL; HYBRIDIZATION; EXPRESSION;
D O I
10.1117/12.817332
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
The past decade has seen increased development and subsequent adoption of rapid molecular techniques involving DNA analysis for detection of pathogenic microorganisms, also termed microbial forensics. The continued accumulation of microbial sequence information in genomic databases now better positions the field of high-throughput DNA analysis to proceed in a more manageable fashion. The potential to build off of these databases exists as technology continues to develop, which will enable more rapid, cost effective analyses. This wealth of genetic information, along with new technologies, has the potential to better address some of the current problems and solve the key issues involved in DNA analysis of pathogenic microorganisms. To this end, a high density fiber optic microarray has been employed, housing numerous DNA sequences simultaneously for detection of various pathogenic microorganisms, including Bacillus anthracis, among others. Each organism is analyzed with multiple sequences and can be sub-typed against other closely related organisms. For public health labs, real-time PCR methods have been developed as an initial preliminary screen, but culture and growth are still considered the gold standard. Technologies employing higher throughput than these standard methods are better suited to capitalize on the limitless potential garnered from the sequence information. Microarray analyses are one such format positioned to exploit this potential, and our array platform is reusable, allowing repetitive tests on a single array, providing an increase in throughput and decrease in cost, along with a certainty of detection, down to the individual strain level.
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页数:9
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