Solid and Suspension Microarrays for Microbial Diagnostics.

4区 生物学 Q2 Medicine
Methods in Microbiology Pub Date : 2015-01-01 Epub Date: 2015-05-14 DOI:10.1016/bs.mim.2015.04.002
Steve Miller, Ulas Karaoz, Eoin Brodie, Sherry Dunbar
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引用次数: 0

Abstract

Advancements in molecular technologies have provided new platforms that are being increasingly adopted for use in the clinical microbiology laboratory. Among these, microarray methods are particularly well suited for diagnostics as they allow multiplexing, or the ability to test for multiple targets simultaneously from the same specimen. Microarray technologies commonly used for the detection and identification of microbial targets include solid-state microarrays, electronic microarrays and bead suspension microarrays. Microarray methods have been applied to microbial detection, genotyping and antimicrobial resistance gene detection. Microarrays can offer a panel approach to diagnose specific patient presentations, such as respiratory or gastrointestinal infections, and can discriminate isolates by genotype for tracking epidemiology and outbreak investigations. And, as more information has become available on specific genes and pathways involved in antimicrobial resistance, we are beginning to be able to predict susceptibility patterns based on sequence detection for particular organisms. With further advances in automated microarray processing methods and genotype-phenotype prediction algorithms, these tests will become even more useful as an adjunct or replacement for conventional antimicrobial susceptibility testing, allowing for more rapid selection of targeted therapy for infectious diseases.

用于微生物诊断的固体和悬浮微阵列。
分子技术的进步提供了新的平台,越来越多地被临床微生物实验室采用。其中,微阵列方法尤其适用于诊断,因为这种方法可以进行多重检测,或从同一标本中同时检测多个目标。常用于检测和鉴定微生物靶标的微阵列技术包括固态微阵列、电子微阵列和微珠悬浮微阵列。微阵列方法已被应用于微生物检测、基因分型和抗菌药耐药基因检测。微阵列可提供一种面板方法,用于诊断特定的病人症状,如呼吸道或胃肠道感染,并可通过基因型区分分离物,用于追踪流行病学和疫情调查。此外,随着涉及抗菌药耐药性的特定基因和途径的信息越来越多,我们开始能够根据特定生物体的序列检测来预测药敏模式。随着自动微阵列处理方法和基因型-表型预测算法的进一步发展,这些检测作为传统抗菌药敏感性检测的辅助手段或替代手段将变得更加有用,从而可以更快地选择针对传染病的疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Methods in Microbiology
Methods in Microbiology 生物-生化研究方法
CiteScore
1.50
自引率
0.00%
发文量
15
审稿时长
>12 weeks
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