• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

使用基于碳水化合物的微阵列评估细菌间相互作用

Assessing Bacterial Interactions Using Carbohydrate-Based Microarrays.

作者信息

Flannery Andrea, Gerlach Jared Q, Joshi Lokesh, Kilcoyne Michelle

机构信息

Carbohydrate Signalling Group, Microbiology, School of Natural Sciences, National University of Ireland Galway, Galway, Ireland.

Advanced Glycoscience Research Cluster, National Centre for Biomedical Engineering Science, National University of Ireland Galway, Galway, Ireland.

出版信息

Microarrays (Basel). 2015 Dec 10;4(4):690-713. doi: 10.3390/microarrays4040690.

DOI:10.3390/microarrays4040690
PMID:27600247
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4996414/
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.

摘要

碳水化合物在宿主与微生物的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。宿主的糖基化因物种和身体部位而异,这有助于共生菌和病原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并作出反应的首个细菌分子种类。因此,表征和鉴定这些关键相互作用中涉及的精确结构是解读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一种未得到充分利用的工具,用于筛选细菌与特定碳水化合物结构的相互作用,但近年来它们越来越受欢迎。在这篇综述中,我们讨论了用完整细菌、重组表达的粘附素或血清抗体进行分析的基于碳水化合物的微阵列。文中考虑了三种主要类型的基于碳水化合物的微阵列平台:(i)传统碳水化合物或聚糖微阵列;(ii)完整粘蛋白微阵列;以及(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有助于阐明碳水化合物介导的相互作用在微生物发病机制、传染病和宿主免疫反应中的分子机制,并可能带来促进治疗的新策略。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/a996038d73eb/microarrays-04-00690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/a1685073e8ac/microarrays-04-00690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/c18db145d8aa/microarrays-04-00690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/ec643d95a0f7/microarrays-04-00690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/a996038d73eb/microarrays-04-00690-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/a1685073e8ac/microarrays-04-00690-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/c18db145d8aa/microarrays-04-00690-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/ec643d95a0f7/microarrays-04-00690-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb9b/4996414/a996038d73eb/microarrays-04-00690-g004.jpg

相似文献

1
Assessing Bacterial Interactions Using Carbohydrate-Based Microarrays.使用基于碳水化合物的微阵列评估细菌间相互作用
Microarrays (Basel). 2015 Dec 10;4(4):690-713. doi: 10.3390/microarrays4040690.
2
Glycointeractions in bacterial pathogenesis.糖基相互作用在细菌发病机制中的作用。
Nat Rev Microbiol. 2018 Jul;16(7):440-452. doi: 10.1038/s41579-018-0007-2.
3
Identification of putative adhesins and carbohydrate ligands of Lactobacillus paracasei using a combinatorial in silico and glycomics microarray profiling approach.采用组合式计算与糖组学微阵列分析方法鉴定副干酪乳杆菌的假定黏附素和碳水化合物配体。
Integr Biol (Camb). 2019 Nov 26;11(7):315-329. doi: 10.1093/intbio/zyz026.
4
Microarray Strategies for Exploring Bacterial Surface Glycans and Their Interactions With Glycan-Binding Proteins.探索细菌表面聚糖及其与聚糖结合蛋白相互作用的微阵列策略
Front Microbiol. 2020 Jan 10;10:2909. doi: 10.3389/fmicb.2019.02909. eCollection 2019.
5
Glycan-Glycan Interaction Determines Tropism toward Human T Lymphocytes.糖基-糖基相互作用决定了对人 T 淋巴细胞的趋向性。
mBio. 2018 Feb 13;9(1):e02309-17. doi: 10.1128/mBio.02309-17.
6
Bacterial Microarrays for Examining Bacterial Glycosignatures and Recognition by Host Lectins.用于检测细菌糖基特征及宿主凝集素识别的细菌微阵列
Methods Mol Biol. 2022;2460:147-160. doi: 10.1007/978-1-0716-2148-6_9.
7
Carbohydrate microarrays for enzymatic reactions and quantification of binding affinities for glycan-protein interactions.用于酶促反应以及聚糖-蛋白质相互作用结合亲和力定量分析的碳水化合物微阵列。
Methods Mol Biol. 2012;808:103-16. doi: 10.1007/978-1-61779-373-8_7.
8
Bacterial Staining and Profiling for Glycan Interactions on Glycan Microarrays for t-Test Calculation.聚糖微阵列上聚糖相互作用的细菌染色和分析用于 t 检验计算。
Methods Mol Biol. 2022;2460:223-237. doi: 10.1007/978-1-0716-2148-6_14.
9
Bacterial Surface Glycans: Microarray and QCM Strategies for Glycophenotyping and Exploration of Recognition by Host Receptors.细菌表面聚糖:用于糖型分析及宿主受体识别探索的微阵列和石英晶体微天平策略
Methods Enzymol. 2018;598:37-70. doi: 10.1016/bs.mie.2017.06.011. Epub 2017 Aug 10.
10
Construction and application of carbohydrate microarrays to detect foodborne bacteria.糖质微阵列的构建及其在食源性细菌检测中的应用。
Chin J Nat Med. 2020 Mar;18(3):219-225. doi: 10.1016/S1875-5364(20)30024-8.

引用本文的文献

1
Defined Glycan Ligands for Detecting Rare l-Sugar-Binding Proteins.用于检测稀有L-糖结合蛋白的特定聚糖配体
J Am Chem Soc. 2025 Apr 9;147(14):11693-11699. doi: 10.1021/jacs.5c03251. Epub 2025 Apr 1.
2
A novel on-a-chip system with a 3D-bioinspired gut mucus suitable to investigate bacterial endotoxins dynamics.一种新型的片上系统,具有适用于研究细菌内毒素动态的3D生物启发式肠道黏液。
Mater Today Bio. 2023 Dec 10;24:100898. doi: 10.1016/j.mtbio.2023.100898. eCollection 2024 Feb.
3
Glycomics Microarrays Reveal Differential In Situ Presentation of the Biofilm Polysaccharide Poly--acetylglucosamine on and Cell Surfaces.

本文引用的文献

1
A Preliminary Study Examining the Binding Capacity of Akkermansia muciniphila and Desulfovibrio spp., to Colonic Mucin in Health and Ulcerative Colitis.一项关于在健康和溃疡性结肠炎状态下,嗜黏蛋白阿克曼氏菌和脱硫弧菌属对结肠黏蛋白结合能力的初步研究。
PLoS One. 2015 Oct 22;10(10):e0135280. doi: 10.1371/journal.pone.0135280. eCollection 2015.
2
Structure and Sialyllactose Binding of the Carboxy-Terminal Head Domain of the Fibre from a Siadenovirus, Turkey Adenovirus 3.来自火鸡腺病毒3型(一种唾液酸腺病毒)的纤维蛋白羧基末端头部结构域的结构及其与唾液乳糖的结合
PLoS One. 2015 Sep 29;10(9):e0139339. doi: 10.1371/journal.pone.0139339. eCollection 2015.
3
糖组学微阵列揭示了生物膜多糖聚乙酰氨基葡萄糖在 和 细胞表面的差异原位呈现。
Int J Mol Sci. 2020 Apr 2;21(7):2465. doi: 10.3390/ijms21072465.
4
Microarray Strategies for Exploring Bacterial Surface Glycans and Their Interactions With Glycan-Binding Proteins.探索细菌表面聚糖及其与聚糖结合蛋白相互作用的微阵列策略
Front Microbiol. 2020 Jan 10;10:2909. doi: 10.3389/fmicb.2019.02909. eCollection 2019.
5
The Interaction of the Gut Microbiota with the Mucus Barrier in Health and Disease in Human.人类健康与疾病状态下肠道微生物群与黏液屏障的相互作用
Microorganisms. 2018 Aug 2;6(3):78. doi: 10.3390/microorganisms6030078.
6
Structural basis of mammalian glycan targeting by Vibrio cholerae cytolysin and biofilm proteins.哺乳动物聚糖靶向的结构基础由霍乱弧菌细胞溶素和生物膜蛋白决定。
PLoS Pathog. 2018 Feb 12;14(2):e1006841. doi: 10.1371/journal.ppat.1006841. eCollection 2018 Feb.
Extracellular vesicles from Paracoccidioides pathogenic species transport polysaccharide and expose ligands for DC-SIGN receptors.
来自副球孢子菌致病物种的细胞外囊泡运输多糖并暴露DC-SIGN受体的配体。
Sci Rep. 2015 Sep 21;5:14213. doi: 10.1038/srep14213.
4
Fatal attraction: how bacterial adhesins affect host signaling and what we can learn from them.致命吸引力:细菌黏附素如何影响宿主信号传导以及我们能从中学到什么。
Int J Mol Sci. 2015 Jan 23;16(2):2626-40. doi: 10.3390/ijms16022626.
5
Cross-feeding by Bifidobacterium breve UCC2003 during co-cultivation with Bifidobacterium bifidum PRL2010 in a mucin-based medium.在基于黏蛋白的培养基中,短双歧杆菌UCC2003与两歧双歧杆菌PRL2010共培养期间的交叉喂养。
BMC Microbiol. 2014 Nov 25;14:282. doi: 10.1186/s12866-014-0282-7.
6
Structural Sampling of Glycan Interaction Profiles Reveals Mucosal Receptors for Fimbrial Adhesins of Enterotoxigenic Escherichia coli.聚糖相互作用谱的结构采样揭示了肠毒素性大肠杆菌菌毛粘附素的粘膜受体。
Biology (Basel). 2013 Jul 1;2(3):894-917. doi: 10.3390/biology2030894.
7
Mucins: a biologically relevant glycan barrier in mucosal protection.黏蛋白:黏膜保护中具有生物学相关性的聚糖屏障。
Biochim Biophys Acta. 2015 Jan;1850(1):236-52. doi: 10.1016/j.bbagen.2014.05.003. Epub 2014 May 10.
8
Microbial glycan microarrays define key features of host-microbial interactions.微生物聚糖微阵列定义了宿主-微生物相互作用的关键特征。
Nat Chem Biol. 2014 Jun;10(6):470-6. doi: 10.1038/nchembio.1525. Epub 2014 May 11.
9
Campylobacter jejuni strain discrimination and temperature-dependent glycome expression profiling by lectin microarray.空肠弯曲菌菌株鉴别及基于凝集素芯片的温度依赖性糖组表达谱分析
Carbohydr Res. 2014 May 7;389:123-33. doi: 10.1016/j.carres.2014.02.005. Epub 2014 Feb 12.
10
Cross-platform comparison of glycan microarray formats.聚糖微阵列格式的跨平台比较。
Glycobiology. 2014 Jun;24(6):507-17. doi: 10.1093/glycob/cwu019. Epub 2014 Mar 22.