Proximity labeling: an enzymatic tool for spatial biology

Area of Science:

• Spatial biology
• Molecular biology
• Biochemistry

Background:

• Understanding the spatial organization of biomolecules is crucial for cell function.
• Traditional methods struggle to capture in vivo spatial information.
• Advancements in sequencing and labeling technologies are needed.

Purpose of the Study:

• To highlight the utility of proximity-dependent enzymatic labeling tools.
• To showcase the extraction of spatial proteome, transcriptome, and genome organization data.
• To discuss future applications in live-system spatial biology.

Main Methods:

• Proximity-dependent enzymatic labeling (e.g., BioID, APEX).
• High-throughput sequencing technologies.
• Bioinformatics analysis for spatial mapping.

Main Results:

• Successful spatial mapping of proteomes, transcriptomes, and genome organization.
• Identification of cellular networks based on spatial proximity.
• Demonstration of proximity labeling's power in dissecting cellular architecture.

Conclusions:

• Proximity labeling is a powerful approach for spatial biology.
• Integration with sequencing enables comprehensive spatial profiling.
• Significant potential for studying dynamic biological processes in live systems.