摘要

An individual neuron can make thousands of synaptic contacts with other neurons. To enable parallel information processing and storage, the cell biological tools for editing synaptic content and function is decentralized to individual synapses. My talk will discuss the visualization of protein synthesis and degradaton at neuronal synapses, as well as an artificial intelligence tool for predicting the local proteome of synapses. The use of these cutting edge methods have allowed us to reveal hidden components of synapses and understand how, for example, sleep regulates synaptic proteostasis via a major cellular signal for protein clearance- ubiquitin.

报告人简介

Chao is fascinated by the use of molecules to process and store information, i.e. chemical computing. Trained as a chemist during Ph.D. with William R. Dichtel at Cornell University and Northwestern University, USA, Chao began his scientific career studying 'smart' molecular self-assembly (2013-2018). Unsatisfied with the simplicity of artificial molecular behaviour, Chao then decided to chase after memory proteins in the brain for his postdoc with Erin M. Schuman, Director of the Max Planck Institute for Brain Research, Germany (2018-2023), where he finds his life-long passion for molecular machines in the brain.