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Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection

Author

Listed:
  • Xiao Tian

    (Nanjing University)

  • Lingna Zheng

    (Chinese Academy of Sciences)

  • Changjiang Wang

    (Nanjing University)

  • Yida Han

    (Nanjing University)

  • Yujie Li

    (Nanjing University)

  • Tongxiao Cui

    (Nanjing University)

  • Jialin Liu

    (Peking University)

  • Chuanming Liu

    (Nanjing University Medical School)

  • Guogeng Jia

    (Peking University)

  • Lujie Yang

    (Southern University of Science and Technology)

  • Yi Hsu

    (Nanjing University)

  • Chen Zeng

    (Southern University of Science and Technology)

  • Lijun Ding

    (Nanjing University Medical School)

  • Chu Wang

    (Peking University)

  • Bo Cheng

    (Peking University)

  • Meng Wang

    (Chinese Academy of Sciences)

  • Ran Xie

    (Nanjing University)

Abstract

Metabolic oligosaccharide engineering (MOE) is a classical chemical approach to perturb, profile and perceive glycans in physiological systems, but probes upon bioorthogonal reaction require accessibility and the background signal readout makes it challenging to achieve glycan quantification. Here we develop SeMOE, a selenium-based metabolic oligosaccharide engineering strategy that concisely combines elemental analysis and MOE,enabling the mass spectrometric imaging of glycome. We also demonstrate that the new-to-nature SeMOE probes allow for detection, quantitative measurement and visualization of glycans in diverse biological contexts. We also show that chemical reporters on conventional MOE can be integrated into a bifunctional SeMOE probe to provide multimodality signal readouts. SeMOE thus provides a convenient and simplified method to explore the glyco-world.

Suggested Citation

  • Xiao Tian & Lingna Zheng & Changjiang Wang & Yida Han & Yujie Li & Tongxiao Cui & Jialin Liu & Chuanming Liu & Guogeng Jia & Lujie Yang & Yi Hsu & Chen Zeng & Lijun Ding & Chu Wang & Bo Cheng & Meng W, 2023. "Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-44118-w
    DOI: 10.1038/s41467-023-44118-w
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    References listed on IDEAS

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    1. Jennifer A. Prescher & Danielle H. Dube & Carolyn R. Bertozzi, 2004. "Chemical remodelling of cell surfaces in living animals," Nature, Nature, vol. 430(7002), pages 873-877, August.
    2. Hai Liang & Kristen E. DeMeester & Ching-Wen Hou & Michelle A. Parent & Jeffrey L. Caplan & Catherine L. Grimes, 2017. "Metabolic labelling of the carbohydrate core in bacterial peptidoglycan and its applications," Nature Communications, Nature, vol. 8(1), pages 1-11, April.
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