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New Technologies for Glycomic Analysis: Toward a Systematic Understanding of the Glycome

机译:糖分析的新技术:对糖的系统理解

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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.
机译:碳水化合物是通过高通量方法研究的最困难的生物分子类别,这是由于组成单糖结构单元之间的化学相似性,无模板的生物合成以及缺乏对糖蛋白群组的聚糖修饰的明确可识别的共有序列。这些分子对于从细胞间通讯到免疫的多种细胞过程都至关重要,并且它们在疾病状态(例如癌症和炎症)中发生改变。因此,一直致力于将聚糖分析发展成称为糖组学的高通量分析领域。本文中,我们重点介绍了将分离,质谱和微阵列方法应用于糖组学和糖蛋白组学领域的重大进展。这些新的分析技术正在迅速推进我们对糖基化在生物学和疾病中重要性的理解。

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