Department of Chemistry, New York University, New York, New York 10003, USA.
Annu Rev Anal Chem (Palo Alto Calif). 2011;4:367-92. doi: 10.1146/annurev-anchem-061010-113951.
Carbohydrates are the most difficult class of biological molecules to study by high-throughput methods owing to the chemical similarities between the constituent monosaccharide building blocks, template-less biosynthesis, and the lack of clearly identifiable consensus sequences for the glycan modification of cohorts of glycoproteins. These molecules are crucial for a wide variety of cellular processes ranging from cell-cell communication to immunity, and they are altered in disease states such as cancer and inflammation. Thus, there has been a dedicated effort to develop glycan analysis into a high-throughput analytical field termed glycomics. Herein we highlight major advances in applying separation, mass spectrometry, and microarray methods to the fields of glycomics and glycoproteomics. These new analytical techniques are rapidly advancing our understanding of the importance of glycosylation in biology and disease.
碳水化合物是最难以通过高通量方法研究的一类生物分子,这是由于组成单糖结构单元的化学相似性、无模板生物合成以及缺乏明确可识别的糖基化修饰共识序列,这些共识序列用于糖蛋白的糖基化修饰。这些分子对于从细胞间通讯到免疫等多种细胞过程至关重要,并且在癌症和炎症等疾病状态下发生改变。因此,人们一直致力于将聚糖分析发展成为一个高通量的分析领域,称为糖组学。本文重点介绍了将分离、质谱和微阵列方法应用于糖组学和糖蛋白质组学领域的主要进展。这些新的分析技术正在迅速提高我们对糖基化在生物学和疾病中的重要性的理解。