Published December 21, 2023 | Version v1
Dataset Open

Data from: A maximum of two readily releasable vesicles per docking site at a cerebellar single active zone synapse

  • 1. University of Paris

Description

Recent research suggests that in central mammalian synapses, active zones contain several docking sites acting in parallel. Before release, one or several synaptic vesicles (SVs) are thought to bind to each docking site, forming the readily releasable pool (RRP). Determining the RRP size per docking site has important implications for short-term synaptic plasticity. Here, we take advantage of recently developed methods to count the number of released SVs at single glutamatergic synapses in response to trains of action potentials. In each recording, the number of docking sites was determined by fitting with a binomial model the number of released SVs in response to individual action potentials. After normalization with respect to the number of docking sites, the summed number of released SVs following a train of action potentials was used to estimate of the RRP size per docking site. To improve this estimate, various steps were taken to maximize the release probability of docked SVs, the occupancy of docking sites, as well as the extent of synaptic depression. Under these conditions, the RRP size reached a maximum value close to two SVs per docking site. The results indicate that each docking site contains two distinct SV binding sites that can simultaneously accommodate up to one SV each. They further suggest that under special experimental conditions, as both sites are close to full occupancy, a maximal RRP size of two SVs per docking site can be reached. More generally, the results validate a sequential two-step docking model previously proposed at this preparation.

Notes

Funding provided by: European Research Council
Crossref Funder Registry ID: https://ror.org/0472cxd90
Award Number: 294509

Funding provided by: Fondation pour la Recherche Médicale
Crossref Funder Registry ID: https://ror.org/04w6kn183
Award Number: SPF201809007190

Methods

Collected using HEKA amplifiers, patchmaster software.

Analysed using Igor.

Files

README.md

Files (88.2 kB)

Name Size Download all
md5:d27abc29839822d6f34a883ba7ac0682
87.6 kB Download
md5:e81a2dc6b66b15c585b6d0736d3d433e
632 Bytes Preview Download

Additional details

Related works

Is cited by
10.7554/elife.91087.1 (DOI)