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Array-Based Binary Analysis for Bacterial Typing

Identifieur interne : 004A13 ( Main/Exploration ); précédent : 004A12; suivant : 004A14

Array-Based Binary Analysis for Bacterial Typing

Auteurs : Jason R. E. Shepard [Israël] ; Yael Danin-Poleg [Israël] ; Yechezkel Kashi [Israël] ; David R. Walt [Israël]

Source :

RBID : ISTEX:F8EAC66E289EE42248116C1846C0161B39C41104

Abstract

An allele-specific oligonucleotide microarray was developed for rapid typing of pathogens based on analysis of genomic variations. Using a panel of Escherichia coli strains as a model system, selected loci were sequenced to uncover differences, such as single- or multiple-nucleotide polymorphisms as well as insertion/deletions (indels). While typical genomic profiling experiments employ specific sequences targeted to genomic DNA unique to a single strain or virulent gene, the present array is designed to type bacteria based on a patterned signature response across multiple loci. In the signature concept, all strains are interrogated by hybridizing their amplified DNA to an array containing multiple probe sequences. Allele-specific oligonucleotide probe sequences targeting each of these variable regions were synthesized and included in a custom fiber-optic array. For each locus, a set of specific probe sequences is selected, such that hybridization gives a binary signal/no signal response to each of the probes. Using this strategy for multiple loci, many pathogens or microorganisms could be classified using a limited number of probes. Because of the advantages of the fiber-optic array platform over other array formats, including sensitivity and speed, the platform described in this paper is capable of supporting a high-throughput diagnostic strategy.

Url:
DOI: 10.1021/ac0488006


Affiliations:


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