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Glyco-Decipher enables glycan database-independent peptide matching and in-depth characterization of site-specific N-glycosylation

Author

Listed:
  • Zheng Fang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Hongqiang Qin

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Jiawei Mao

    (Chinese Academy of Sciences)

  • Zhongyu Wang

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Na Zhang

    (Chinese Academy of Sciences)

  • Yan Wang

    (Chinese Academy of Sciences)

  • Luyao Liu

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

  • Yongzhan Nie

    (Fourth Military Medical University)

  • Mingming Dong

    (Chinese Academy of Sciences
    Dalian University of Technology)

  • Mingliang Ye

    (Chinese Academy of Sciences
    University of Chinese Academy of Sciences)

Abstract

Glycopeptides with unusual glycans or poor peptide backbone fragmentation in tandem mass spectrometry are unaccounted for in typical site-specific glycoproteomics analysis and thus remain unidentified. Here, we develop a glycoproteomics tool, Glyco-Decipher, to address these issues. Glyco-Decipher conducts glycan database-independent peptide matching and exploits the fragmentation pattern of shared peptide backbones in glycopeptides to improve the spectrum interpretation. We benchmark Glyco-Decipher on several large-scale datasets, demonstrating that it identifies more peptide-spectrum matches than Byonic, MSFragger-Glyco, StrucGP and pGlyco 3.0, with a 33.5%-178.5% increase in the number of identified glycopeptide spectra. The database-independent and unbiased profiling of attached glycans enables the discovery of 164 modified glycans in mouse tissues, including glycans with chemical or biological modifications. By enabling in-depth characterization of site-specific protein glycosylation, Glyco-Decipher is a promising tool for advancing glycoproteomics analysis in biological research.

Suggested Citation

  • Zheng Fang & Hongqiang Qin & Jiawei Mao & Zhongyu Wang & Na Zhang & Yan Wang & Luyao Liu & Yongzhan Nie & Mingming Dong & Mingliang Ye, 2022. "Glyco-Decipher enables glycan database-independent peptide matching and in-depth characterization of site-specific N-glycosylation," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-29530-y
    DOI: 10.1038/s41467-022-29530-y
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