Review: Survey on Algorithms for Tandem Mass Spectrometry Oligosaccharide Identification
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Guanghua School of Management Peking University,Institute of Biophysics, Chinese Academy of Science,Institute of Computing Technology, Chinese Academy of Science,Institute of Computing Technology, Chinese Academy of Science,Institute of Biophysics, Chinese Academy of Science,Institute of Computing Technology, Chinese Academy of Science,Institute of Computing Technology, Chinese Academy of Science

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This work was supported by grants from The National Natural Science Foundation of China (31270834, 31671369, 61272318, 30870572, 61303161)

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    Abstract:

    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.

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WANG Yao-Jun, HUANG Chun-Cui, GAO Feng, ZHANG Jing-Wei, LI Yan, BU Dong-Bo, SUN Shi-Wei.Review: Survey on Algorithms for Tandem Mass Spectrometry Oligosaccharide Identification[J]. Progress in Biochemistry and Biophysics,2017,44(10):830-847

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History
  • Received:December 31,2016
  • Revised:March 20,2017
  • Accepted:March 21,2017
  • Online: October 18,2017
  • Published: October 20,2017