Assessing Bacterial Interactions Using Carbohydrate-Based Microarrays.

Andrea Flannery, Jared Q Gerlach, Lokesh Joshi, Michelle Kilcoyne
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引用次数: 15

Abstract

Carbohydrates play a crucial role in host-microorganism interactions and many host glycoconjugates are receptors or co-receptors for microbial binding. Host glycosylation varies with species and location in the body, and this contributes to species specificity and tropism of commensal and pathogenic bacteria. Additionally, bacterial glycosylation is often the first bacterial molecular species encountered and responded to by the host system. Accordingly, characterising and identifying the exact structures involved in these critical interactions is an important priority in deciphering microbial pathogenesis. Carbohydrate-based microarray platforms have been an underused tool for screening bacterial interactions with specific carbohydrate structures, but they are growing in popularity in recent years. In this review, we discuss carbohydrate-based microarrays that have been profiled with whole bacteria, recombinantly expressed adhesins or serum antibodies. Three main types of carbohydrate-based microarray platform are considered; (i) conventional carbohydrate or glycan microarrays; (ii) whole mucin microarrays; and (iii) microarrays constructed from bacterial polysaccharides or their components. Determining the nature of the interactions between bacteria and host can help clarify the molecular mechanisms of carbohydrate-mediated interactions in microbial pathogenesis, infectious disease and host immune response and may lead to new strategies to boost therapeutic treatments.

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利用基于碳水化合物的微阵列评估细菌相互作用。
碳水化合物在宿主-微生物相互作用中起着至关重要的作用,许多宿主糖缀合物是微生物结合的受体或共受体。宿主糖基化随物种和体内位置的不同而变化,这有助于共生菌和致病菌的物种特异性和嗜性。此外,细菌糖基化通常是宿主系统遇到和反应的第一个细菌分子物种。因此,表征和识别这些关键相互作用中涉及的确切结构是破译微生物发病机制的重要优先事项。基于碳水化合物的微阵列平台一直是筛选细菌与特定碳水化合物结构相互作用的未充分利用的工具,但近年来它们越来越受欢迎。在这篇综述中,我们讨论了以碳水化合物为基础的微阵列,这些微阵列已经用全细菌、重组表达的粘附素或血清抗体进行了分析。考虑了三种主要类型的基于碳水化合物的微阵列平台;(i)常规碳水化合物或聚糖微阵列;(ii)全粘蛋白微阵列;(iii)由细菌多糖或其成分构建的微阵列。确定细菌与宿主之间相互作用的性质可以帮助阐明碳水化合物介导的相互作用在微生物发病、传染病和宿主免疫反应中的分子机制,并可能导致新的策略来促进治疗。
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
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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