Related Experiment Video
Updated: Jan 10, 2026

09:19
Spatial Profiling of Protein and RNA Expression in Tissue: An Approach to Fine-Tune Virtual Microdissection
Published on: July 6, 2022
5.3K
In-Situ Spatial Visual Proteomics Enabled by Single-Cell-Type Proximity Biotinylation and Signaling Amplification
Zhendong Zheng1,2, Zhiyao Tang2, Chang Li2
1School of Chemistry and Chemical Engineering, Harbin Institute of Technology, Harbin, 150001, China.
Angewandte Chemie (International Ed. in English)
|November 27, 2025
Summary
Spatial visual proteomics (SVPro) enables simultaneous visualization and discovery of spatial proteome features in tissues. This method profiles cell types and identifies proteins associated with Alzheimer's disease plaques.
Area of Science:
- Proteomics
- Molecular Biology
- Biochemistry
Background:
- Mapping spatial proteome signatures in complex tissues is crucial for understanding physiological and pathological processes.
- Simultaneously visualizing and discovering these spatial proteomic features presents a significant technical challenge.
Purpose of the Study:
- To introduce a novel method, spatial visual proteomics (SVPro), for high-resolution spatial proteomic analysis.
- To enable simultaneous visualization and discovery of proteomic features within intact tissue microenvironments.
Main Methods:
- SVPro integrates single-cell proximity biotinylation with fluorescence signal amplification using a trifunctional probe.
- The trifunctional probe combines radical targeting, clickable fluorescence imaging, and biotinylation for proteome capture within a single tissue section.
- PEGylation and multivalent fluorescent conjugation enhance probe labeling, visualization efficiency, and specificity.
Main Results:
- SVPro successfully performed cell-type proteomic profiling of neuronal subpopulations in mouse brain regions.
- The method identified and validated distinct marker proteins associated with amyloid-β plaques in an Alzheimer's disease mouse model.
- SVPro demonstrated robust and high-resolution visualization of spatial architecture and proteome landscapes.
Conclusions:
- SVPro is a powerful new approach for spatial proteomics, offering simultaneous visualization and proteome landscape analysis.
- This technique provides unique insights into tissue microenvironments by mapping spatial proteomic signatures.
- SVPro has potential applications in understanding disease mechanisms and discovering biomarkers, particularly in neurodegenerative diseases.

