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 () and Ran Xie ()
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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

Nature Communications, 2023, vol. 14, issue 1, 1-18

Abstract: 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.

Date: 2023
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DOI: 10.1038/s41467-023-44118-w

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