Light-driven spatial proteomics: Photocatalytic strategies for mapping protein microenvironments

Area of Science:

• Proteomics
• Molecular Biology
• Biochemistry

Background:

• Understanding protein interactions in native tissue contexts is crucial for disease mechanism and therapeutic response studies.
• Current spatial proteomics methods include physically resolved mapping and chemically defined labeling.
• Photo-proximity labeling offers nanometer-scale mapping with precise spatial control, overcoming enzyme-based limitations.

Purpose of the Study:

• To review emerging light-driven spatial proteomic technologies.
• To highlight methods combining optical precision with deep proteome coverage for high-resolution interactome maps.
• To discuss advances providing mechanistic insight into patient tissue protein organization and supporting biomarker discovery.

Main Methods:

• Review of targeted photocatalytic labeling and optically guided microproteomics.
• Analysis of photo-proteomic strategies for in vitro and in vivo systems, including FFPE tissues.
• Discussion of recent advances in light-driven spatial proteomic technologies.

Main Results:

• Emerging light-driven spatial proteomic technologies enable high-resolution interactome mapping.
• These methods allow analysis of molecular organization across diverse biological systems.
• Disease-relevant molecular reorganization can be revealed using these advanced techniques.

Conclusions:

• Light-driven spatial proteomics provides precise molecular mapping in native tissues.
• These technologies offer mechanistic insights into protein organization and disease.
• Photo-proteomic strategies are valuable tools for biomarker discovery in complex diseases like cancer and neurodegeneration.