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解读糖密码:糖组学的复杂性与分析挑战

Deciphering the glycocode: the complexity and analytical challenge of glycomics.

作者信息

Pilobello Kanoelani T, Mahal Lara K

机构信息

Institute for Cellular and Molecular Biology, University of Texas at Austin, 1 University Station, A5300, Austin, TX 78712-0165, USA.

出版信息

Curr Opin Chem Biol. 2007 Jun;11(3):300-5. doi: 10.1016/j.cbpa.2007.05.002. Epub 2007 May 17.

Abstract

Carbohydrates coat most types of cell in nature and are intimately involved in various biological events, including cell differentiation, homing to specific tissues, cell adhesion, cell recognition, microbial pathogenesis and immunological recognition. Carbohydrate structures are complex to analyze owing to their branched nature, the diversity of secondary modifications of monomers, their indirect relationship to the genome and the range of molecular contexts in which the modifications are found. Thus, whereas the fields of genomics and proteomics have become accessible to most scientists, technologies to assess glycan structures rapidly (i.e. glycomics) are still in the developmental stages. This review focuses on recent developments in glycomic technologies, including new high-throughput techniques for glycan purification and annotation that are advancing mass-spectrometry-based glycomics, and the latest work on microarray methodologies to decipher the glycome.

摘要

碳水化合物覆盖了自然界中的大多数细胞类型,并密切参与各种生物事件,包括细胞分化、归巢至特定组织、细胞黏附、细胞识别、微生物发病机制和免疫识别。由于碳水化合物结构具有分支性质、单体二级修饰的多样性、它们与基因组的间接关系以及发现修饰的分子环境范围,因此其结构分析较为复杂。因此,虽然大多数科学家都可以接触到基因组学和蛋白质组学领域,但快速评估聚糖结构的技术(即糖组学)仍处于发展阶段。本综述重点关注糖组学技术的最新进展,包括用于聚糖纯化和注释的新高通量技术,这些技术正在推动基于质谱的糖组学发展,以及用于解读糖组的微阵列方法的最新研究。

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