Nature Communications (Dec 2023)

Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection

  • 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 Wang,
  • Ran Xie

DOI
https://doi.org/10.1038/s41467-023-44118-w
Journal volume & issue
Vol. 14, no. 1
pp. 1 – 18

Abstract

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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.