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Tian X, Zheng L, Wang C, Han Y, Li Y, Cui T, Liu J, Liu C, Jia G, Yang L, Hsu Y, Zeng C, Ding L, Wang C, Cheng B, Wang M, Xie R. Selenium-based metabolic oligosaccharide engineering strategy for quantitative glycan detection. Nat Commun 2023; 14:8281. [PMID: 38092825 PMCID: PMC10719347 DOI: 10.1038/s41467-023-44118-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2023] [Accepted: 11/30/2023] [Indexed: 12/17/2023] Open
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.
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Affiliation(s)
- Xiao Tian
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Lingna Zheng
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China
| | - Changjiang Wang
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Yida Han
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Yujie Li
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Tongxiao Cui
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Jialin Liu
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Chuanming Liu
- Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - Guogeng Jia
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Lujie Yang
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Yi Hsu
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China
| | - Chen Zeng
- Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen, China
| | - Lijun Ding
- Center for Reproductive Medicine and Obstetrics and Gynecology, Nanjing Drum Tower Hospital, Nanjing University Medical School, Nanjing, China
| | - Chu Wang
- College of Chemistry and Molecular Engineering, Peking University, Beijing, China
| | - Bo Cheng
- School of Pharmaceutical Sciences, Peking University, Beijing, China
| | - Meng Wang
- CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing, China.
| | - Ran Xie
- State Key Laboratory of Coordination Chemistry, School of Chemistry and Chemical Engineering, Chemistry and Biomedicine Innovation Center (ChemBIC), Nanjing University, Nanjing, China.
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Smith DF, Cummings RD. Application of microarrays for deciphering the structure and function of the human glycome. Mol Cell Proteomics 2013; 12:902-12. [PMID: 23412570 DOI: 10.1074/mcp.r112.027110] [Citation(s) in RCA: 56] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Glycan structures were defined historically using multiple methods to determine composition, sequence, linkage, and anomericity of component monosaccharides. Such approaches have been replaced by more sensitive MS methods to profile or predict glycan structures, but these methods are limited in their ability to completely define glycan structures. Glycan-binding proteins, including lectins and antibodies, have been found to have exquisite binding specificities that can provide information about glycan structures. Here, we show glycan-binding proteins can be used along with MS to help define glycan linkages and other determinants in unknown glycans printed as shotgun glycan microarrays.
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Affiliation(s)
- David F Smith
- Department of Biochemistry and Glycomics Center, Emory University School of Medicine, Atlanta, Georgia 30322, USA.
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