Evolving advances of proximity labeling in capturing biomolecular interactions

Area of Science:

• Biochemistry
• Molecular Biology
• Chemical Biology

Background:

• Proximity labeling (PL) is crucial for studying biomolecular interactions, protein networks, and cellular communication.
• Recent advancements have significantly improved PL's ability to resolve spatiotemporal dynamics.

Purpose of the Study:

• This review highlights key breakthroughs in proximity labeling from 2023-2025.
• It focuses on innovations in catalytic systems, endogenous target engagement, and labeling radius determination.

Main Methods:

• Review of recent literature (2023-2025) on proximity labeling technologies.
• Focus on catalytic system innovation (new enzymes, cascade reactions, responsive systems).
• Exploration of strategies for endogenous target labeling and interactome mapping in vivo.
• Discussion of methods for determining labeling radius (super-resolution imaging, DNA nanostructures).

Main Results:

• Catalytic system innovations enhance spatiotemporal resolution and in vivo applicability of PL.
• New strategies enable interactome mapping of endogenous targets in native tissues and live animals.
• Determination of labeling radius provides critical insights into PL tool performance.

Conclusions:

• Recent PL developments offer unprecedented resolution and applicability for biological research.
• Future innovations are needed for next-generation PL tools to further advance interactome studies.