4.8 Article

O-GlcNAcylation mapping of single living cells by in situ quantitative SERS imaging

Journal

CHEMICAL SCIENCE
Volume 13, Issue 33, Pages 9701-9705

Publisher

ROYAL SOC CHEMISTRY
DOI: 10.1039/d2sc03881a

Keywords

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Funding

  1. National Natural Science Foundation of China [21827812, 21890741, 21974063]
  2. National Key Research and Development Program of China [2018YFC1004704]
  3. State Key Laboratory of Analytical Chemistry for Life Science [SKLACLS2104]

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This study developed a quantitative SERS imaging strategy for mapping the O-GlcNAcylation distribution of single living cells. O-GlcNAcylated compounds (OGCs) were quantified through in situ azide labeling and a click reaction, allowing for convenient detection of OGCs in different areas of single living cells using a calibration curve obtained in vitro. This method demonstrated its practicality and expansibility in glycosylation related analysis through successfully mapping O-GlcNAcylation distribution in different cell lines and monitoring O-GlcNAcylation variation during the cell cycle.
O-GlcNAcylation is involved in many biological processes including cancerization. Nevertheless, its in situ quantification in single living cells is still a bottleneck. Here we develop a quantitative SERS imaging strategy for mapping the O-GlcNAcylation distribution of single living cells. O-GlcNAcylated compounds (OGCs) can be quantified through their in situ azide labeling and then a click reaction competing with azide and Raman reporter labeled 15 nm-gold nanoparticles (AuNPs) for linking to dibenzocyclooctyne labeled 40 nm-AuNPs to produce OGC-negatively correlated SERS signals. The calibration curve obtained in vitro can be conveniently used for detecting OGCs in different areas of single living cells due to the negligible effect of cell medium on the click linkage and Raman signal. This method has been successfully applied in mapping O-GlcNAcylation distribution in different cell lines and monitoring O-GlcNAcylation variation during cell cycling, which demonstrate its great practicability and expansibility in glycosylation related analysis.

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