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Updated: May 3, 2026

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Ground State Depletion Super-resolution Imaging in Mammalian Cells
Published on: November 5, 2017
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Recent advances in spatial proteomics by super-resolution proximity labeling.
1School of Biological Sciences, Seoul National University, Seoul, 08826, South Korea; Center for RNA Research, Institute of Basic Science, Seoul National University, Seoul, 08826, South Korea.
Current Opinion in Chemical Biology
|May 1, 2026
Summary
Super-resolution proximity labeling (SR-PL) offers residue-level insights into cellular organization by directly identifying labeled amino acid residues. This technique enhances spatial proteomics beyond protein-level analysis for structural mapping.
Area of Science:
- Cellular and Molecular Biology
- Proteomics
- Biochemistry
Background:
- Conventional proximity labeling methods provide protein-level data with limited structural resolution.
- Current techniques often involve streptavidin capture and on-bead digestion, restricting detailed analysis.
- Understanding subcellular organization requires residue-specific information.
Purpose of the Study:
- To introduce and detail Super-resolution proximity labeling (SR-PL) as an advancement in spatial proteomics.
- To enable residue-resolved analysis of subcellular organization in living cells.
- To reframe proximity labeling as a structure-informed analytical framework.
Main Methods:
- SR-PL directly recovers biotinylated peptides.
- Liquid chromatography-tandem mass spectrometry (LC-MS/MS) identifies labeled amino acid residues.
- Advances in affinity capture strategies improve enrichment and reduce background.
Main Results:
- SR-PL provides site-specific labels as direct evidence of proximity.
- Enables precise mapping of protein surfaces, solvent accessibility, and interaction interfaces.
- Facilitates mechanistic interpretation of spatial proteomic data.
Conclusions:
- SR-PL advances spatial proteomics beyond conventional enrichment methods.
- The technique allows for residue-resolved analysis of subcellular organization.
- SR-PL has broad applications including membrane topology and organelle contact site analysis.
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