Sun Xue, Tao Lei, Yi Lin, Ouyang Yilan, Xu Naiyu, Li Duxin, Linhardt Robert J, Zhang Zhenqing
Jiangsu Key Laboratory of Translational Research and Therapy for Neuro-Psycho-Diseases and College of Pharmaceutical Sciences, Soochow University, Suzhou, Jiangsu 215021, China.
Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, 110 8 Street, Troy, NY 12180, USA.
J Pharm Anal. 2017 Apr;7(2):87-94. doi: 10.1016/j.jpha.2017.01.004. Epub 2017 Jan 11.
The glycosylation of proteins is responsible for their structural and functional roles in many cellular activities. This work describes a strategy that combines an efficient release, labeling and liquid chromatography-mass spectral analysis with the use of a comprehensive database to analyze -glycans. The analytical method described relies on a recently commercialized kit in which quick deglycosylation is followed by rapid labeling and cleanup of labeled glycans. This greatly improves the separation, mass spectrometry (MS) analysis and fluorescence detection of -glycans. A hypothetical database, constructed using GlycResoft, provides all compositional possibilities of -glycans based on the common sugar residues found in -glycans. In the initial version this database contains >8,700 -glycans, and is compatible with MS instrument software and expandable. -glycans from four different well-studied glycoproteins were analyzed by this strategy. The results provided much more accurate and comprehensive data than had been previously reported. This strategy was then used to analyze the -glycans present on the membrane glycoproteins of gastric carcinoma cells with different degrees of differentiation. Accurate and comprehensive -glycan data from those cells was obtained efficiently and their differences compared corresponding to their differentiation states. Thus, the novel strategy developed greatly improves accuracy, efficiency and comprehensiveness of -glycan analysis.
蛋白质的糖基化作用在许多细胞活动中发挥着结构和功能作用。这项工作描述了一种策略,该策略将高效释放、标记以及液相色谱 - 质谱分析与使用综合数据库来分析聚糖相结合。所描述的分析方法依赖于一种最近商业化的试剂盒,其中快速去糖基化之后是对标记聚糖的快速标记和净化。这极大地改善了聚糖的分离、质谱(MS)分析和荧光检测。使用GlycResoft构建的一个假设数据库,基于聚糖中常见的糖残基提供了聚糖的所有组成可能性。在初始版本中,这个数据库包含超过8700种聚糖,并且与MS仪器软件兼容且可扩展。通过该策略分析了来自四种不同的、经过充分研究的糖蛋白的聚糖。结果提供了比先前报道更准确和全面的数据。然后该策略被用于分析不同分化程度的胃癌细胞膜糖蛋白上存在的聚糖。有效地获得了来自这些细胞的准确且全面的聚糖数据,并将它们的差异与其分化状态进行了比较。因此,所开发的新策略极大地提高了聚糖分析的准确性、效率和全面性。