Proximity labeling uncovers the synaptic proteome under physiological and pathological conditions

Area of Science:

• Neuroscience
• Molecular Biology
• Proteomics

Background:

• Synapses are crucial for neural circuits, learning, and memory, with their plasticity underpinning cognitive functions.
• Synaptopathies, linked to neurological disorders, involve disruptions in synaptic protein networks.
• Conventional proteomic methods struggle with spatial and cell-type resolution for studying synapses in vivo.

Purpose of the Study:

• To review recent advancements in synaptic proteomics using proximity labeling techniques.
• To highlight how these methods improve understanding of synaptic molecular architecture and function.
• To discuss the potential of these approaches for studying brain disorders and developing treatments.

Main Methods:

• Utilizing proximity labeling techniques, including BioID and APEX, for spatial proteomics.
• Applying these methods to analyze protein networks within specific synaptic compartments in vivo.
• Achieving high-resolution, unbiased profiling of synaptic proteins under physiological and pathological conditions.

Main Results:

• Proximity labeling enables detailed proteomic analysis with improved spatial and cell-type resolution.
• These techniques allow for the study of synaptic protein networks in intact neural circuits.
• New insights into the molecular basis of synaptic diversity and function are being generated.

Conclusions:

• Proximity labeling revolutionizes synaptic proteomics, overcoming limitations of traditional methods.
• This technology provides a powerful tool for dissecting synapse-specific molecular architecture.
• It holds significant potential for understanding synapse-related brain disorders and guiding therapeutic strategies.