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Comparative glycoproteomics of stem cells identifies new players in ricin toxicity

Author

Listed:
  • Johannes Stadlmann

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences)

  • Jasmin Taubenschmid

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences)

  • Daniel Wenzel

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences)

  • Anna Gattinger

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences
    Institute of Molecular Pathology (IMP))

  • Gerhard Dürnberger

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences
    Institute of Molecular Pathology (IMP)
    GMI, Gregor Mendel Institute of Molecular Plant Biology)

  • Frederico Dusberger

    (Institute of Molecular Pathology (IMP))

  • Ulrich Elling

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences)

  • Lukas Mach

    (University of Natural Resources and Life Sciences)

  • Karl Mechtler

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences
    Institute of Molecular Pathology (IMP))

  • Josef M. Penninger

    (IMBA, Institute of Molecular Biotechnology of the Austrian Academy of Sciences)

Abstract

A novel quantitative approach to identify intact glycopeptides from comparative proteomic data sets, allowing inference of complex glycan structures and direct mapping of them to sites within the associated proteins at the proteome scale.

Suggested Citation

  • Johannes Stadlmann & Jasmin Taubenschmid & Daniel Wenzel & Anna Gattinger & Gerhard Dürnberger & Frederico Dusberger & Ulrich Elling & Lukas Mach & Karl Mechtler & Josef M. Penninger, 2017. "Comparative glycoproteomics of stem cells identifies new players in ricin toxicity," Nature, Nature, vol. 549(7673), pages 538-542, September.
    • Handle: RePEc:nat:nature:v:549:y:2017:i:7673:d:10.1038_nature24015
    DOI: 10.1038/nature24015
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    Citations

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    Cited by:

    1. Wen-Feng Zeng & Guoquan Yan & Huan-huan Zhao & Chao Liu & Weiqian Cao, 2024. "Uncovering missing glycans and unexpected fragments with pGlycoNovo for site-specific glycosylation analysis across species," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. 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.
    3. Siyuan Kong & Pengyun Gong & Wen-Feng Zeng & Biyun Jiang & Xinhang Hou & Yang Zhang & Huanhuan Zhao & Mingqi Liu & Guoquan Yan & Xinwen Zhou & Xihua Qiao & Mengxi Wu & Pengyuan Yang & Chao Liu & Weiqi, 2022. "pGlycoQuant with a deep residual network for quantitative glycoproteomics at intact glycopeptide level," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    4. Bei Wang & Arabella H. Wan & Yu Xu & Ruo-Xin Zhang & Ben-Chi Zhao & Xin-Yuan Zhao & Yan-Chuan Shi & Xiaolei Zhang & Yongbo Xue & Yong Luo & Yinyue Deng & G. Gregory Neely & Guohui Wan & Qiao-Ping Wang, 2023. "Identification of indocyanine green as a STT3B inhibitor against mushroom α-amanitin cytotoxicity," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

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