The use of carbohydrate microarrays to study carbohydrate-cell interactions and to detect pathogens
The use of carbohydrate microarrays to study carbohydrate-cell interactions and to detect pathogens
复制标题
DOI：
10.1016/j.chembiol.2004.10.011
复制
发表时间：
2004-12-01
影响因子：
--
通讯作者：
Seeberger, PH
中科院分区：
文献类型：
--
作者：
Disney, MD;Seeberger, PH
利用碳水化合物微阵列研究细菌的碳水化合物结合特异性，检测病原体，并筛选抗粘连治疗药物。该系统是全细胞应用的理想选择，因为微阵列以模拟细胞-细胞界面相互作用的方式呈现碳水化合物配体。其他优点包括分析小型化，因为观察结合需要最少量的配基(类似的表面分子)，以及高通量，因为数千种化合物可以放置在阵列上并并行分析。病原体检测实验可以在细胞或蛋白质的复杂混合物中完成，使用所述病原体的已知碳水化合物结合表位。阵列的非破坏性性质允许采集病原体并进行抗菌药敏感性测试。这些研究使基于微阵列的生物样本的污染物筛选和抗粘连疗法的组合库成为可能。
The use of carbohydrate microarrays to investigate the carbohydrate binding specificities of bacteria, to detect pathogens, and to screen antiadhesion therapeutics is reported. This system is ideal for whole-cell applications because microarrays present carbohydrate ligands in a manner that mimics interactions at cell-cell interfaces. Other advantages include assay miniaturization, since minimal amounts (similar topicomoles) of a ligand are required to observe binding, and high throughput, since thousands of compounds can be placed on an array and analyzed in parallel. Pathogen detection experiments can be completed in complex mixtures of cells or protein using the known carbohydrate binding epitopes of the pathogens in question. The nondestructive nature of the arrays allows the pathogen to be harvested and tested for antibacterial susceptibility. These investigations allow microarray-based screening of biological samples for contaminants and combinatorial libraries for antiadhesion therapeutics.