Campanero-Rhodes María Asunción, Solís Dolores
Instituto de Química Física Rocasolano, CSIC, Madrid, Spain.
CIBER de Enfermedades Respiratorias (CIBERES), Madrid, Spain.
Methods Mol Biol. 2022;2460:147-160. doi: 10.1007/978-1-0716-2148-6_9.
The surface of bacteria displays diverse carbohydrate structures that may significantly differ among bacteria with the same cell wall architecture and even among strains of a given bacterial species. These structures are often recognized by lectins of the innate immune system for triggering defense responses, although some bacterial pathogens exploit recognition by host lectins for favoring infection. Bacterial microarrays are a useful tool for profiling accessible bacterial surface glycans and for exploring their recognition by innate immune lectins. The use of array-printed bacterial cells enables evaluation of the recognition of the glycan epitopes in their natural presentation, i.e., preserving their real density and accessibility. Glycosylation patterns of bacterial surfaces can be examined by testing the binding to the bacterial arrays of a panel of lectins with known carbohydrate-binding preferences, and the recognition of surface glycans by innate immune lectins can easily be assessed using similar binding assays.
细菌表面呈现出多样的碳水化合物结构，这些结构在具有相同细胞壁结构的细菌之间，甚至在给定细菌物种的不同菌株之间，可能存在显著差异。这些结构通常会被先天免疫系统的凝集素识别，从而触发防御反应，不过一些细菌病原体利用宿主凝集素的识别作用来促进感染。细菌微阵列是一种有用的工具，可用于分析可及的细菌表面聚糖，并探索它们被先天免疫凝集素识别的情况。使用阵列打印的细菌细胞能够评估聚糖表位在其自然呈现形式下的识别情况，即保持其真实密度和可及性。通过测试一组具有已知碳水化合物结合偏好的凝集素与细菌阵列的结合情况，可以检查细菌表面的糖基化模式，并且使用类似的结合试验可以轻松评估先天免疫凝集素对表面聚糖的识别。
