Unknown

Dataset Information

Computational modeling of trans-synaptic nanocolumns, a modulator of synaptic transmission.


ABSTRACT: Understanding synaptic transmission is of crucial importance in neuroscience. The spatial organization of receptors, vesicle release properties and neurotransmitter molecule diffusion can strongly influence features of synaptic currents. Newly discovered structures coined trans-synaptic nanocolumns were shown to align presynaptic vesicles release sites and postsynaptic receptors. However, how these structures, spanning a few tens of nanometers, shape synaptic signaling remains little understood. Given the difficulty to probe submicroscopic structures experimentally, computer modeling is a useful approach to investigate the possible functional impacts and role of nanocolumns. In our in silico model, as has been experimentally observed, a nanocolumn is characterized by a tight distrib

SUBMITTER: Li X 

PROVIDER: S-EPMC9554614 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature