Gao Fan, Wang Jia-Hong, Ma Hui, Xia Bingqing, Wen Liuqing, Long Yi-Tao, Ying Yi-Lun
Molecular Sensing and Imaging Center, School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, 210023, P. R. China.
State Key Laboratory of Drug Research, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, 201203, P. R. China.
Angew Chem Int Ed Engl. 2025 Feb 24;64(9):e202422118. doi: 10.1002/anie.202422118. Epub 2025 Feb 5.
Glycans, unlike uniformly charged DNA and compositionally diverse peptides, are typically uncharged and possess rich stereoisomeric diversity in the glycosidic bonds between two monosaccharide units. These unique features, including charge heterogeneity and structural complexity, pose significant challenges for accurate analysis. Herein, we developed a novel single-molecule oligosaccharide sensor, OmpF nanopore. The natural electroosmotic flow within OmpF generates a robust driving force for unlabeled neutral oligosaccharides, enabling detection at a concentration as low as 6.4 μM. Furthermore, the asymmetric constriction zone of OmpF was employed to construct a stereoselective recognition site, enabling sensitive identification of glycosidic bond differences in cell lysate samples. With the assistance of machine learning algorithms, the OmpF nanopore achieved a recognition accuracy of 99.9 % for tetrasaccharides differing in only one glycosidic bond was achieved. This nanopore sensor provides a highly sensitive analytical tool with a broad dynamic range. It enables chiral recognition of oligosaccharides at low concentrations and is suitable for analysing both low-abundance and practical samples.
与带均匀电荷的DNA和组成多样的肽不同,聚糖通常不带电荷,并且在两个单糖单元之间的糖苷键中具有丰富的立体异构多样性。这些独特的特性,包括电荷异质性和结构复杂性,对准确分析提出了重大挑战。在此,我们开发了一种新型的单分子寡糖传感器——OmpF纳米孔。OmpF内的自然电渗流为未标记的中性寡糖产生了强大的驱动力,能够在低至6.4 μM的浓度下进行检测。此外,利用OmpF的不对称收缩区构建了一个立体选择性识别位点,能够灵敏地识别细胞裂解物样品中糖苷键的差异。在机器学习算法的辅助下,OmpF纳米孔对仅一个糖苷键不同的四糖实现了99.9%的识别准确率。这种纳米孔传感器提供了一种具有宽动态范围的高灵敏度分析工具。它能够在低浓度下对手性寡糖进行识别,适用于分析低丰度样品和实际样品。