串联质谱寡糖结构解析方法评介

Survey on Algorithms for Tandem Mass Spectrometry Oligosaccharide Identification

糖组学的研究与发展对生命科学及生物医药的发展具有重要的推动作用.寡糖结构的解析是糖组学中重要的研究课题之一.串联质谱分析技术以其具有高特异性及高灵敏度的特点成为了广为使用的寡糖结构解析方法.本文首先概述了串联质谱寡糖结构解析的研究背景;然后介绍了现有的寡糖结构解析策略及基于每种策略的经典解析方法,并对所列方法的原理和算法进行逐一分析讨论;最后,总结现有方法的优缺点,对串联质谱寡糖结构研究领域进行了研究展望.

Glycomics research plays an important role in life sciences and biomedicine industry. Oligosaccharide structure identification is one of the important research topics of glycomics. The development of high-throughput mass spectrometry technology in recent decade contributes significantly to oligosaccharide structure identification.In this review, we introduced the research background of tandem mass spectrometry assisted glycan structure identification. Then, we reviewed the current strategies used for glycan identification and analyzed the key technologies of existing methods. Finally, we summarized the advantages and disadvantages of the existing methods. The outlook on utilization of tandem mass spectrometry to assist oligosaccharide structure identification is also discussed.