Trans-synaptic assemblies link synaptic vesicles and neuroreceptors.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
03 2021
Historique:
received: 02 09 2020
accepted: 22 01 2021
entrez: 6 3 2021
pubmed: 7 3 2021
medline: 7 3 2021
Statut: epublish

Résumé

Synaptic transmission is characterized by fast, tightly coupled processes and complex signaling pathways that require a precise protein organization, such as the previously reported nanodomain colocalization of pre- and postsynaptic proteins. Here, we used cryo-electron tomography to visualize synaptic complexes together with their native environment comprising interacting proteins and lipids on a 2- to 4-nm scale. Using template-free detection and classification, we showed that tripartite trans-synaptic assemblies (subcolumns) link synaptic vesicles to postsynaptic receptors and established that a particular displacement between directly interacting complexes characterizes subcolumns. Furthermore, we obtained de novo average structures of ionotropic glutamate receptors in their physiological composition, embedded in plasma membrane. These data support the hypothesis that synaptic function is carried by precisely organized trans-synaptic units. It provides a framework for further exploration of synaptic and other large molecular assemblies that link different cells or cellular regions and may require weak or transient interactions to exert their function.

Identifiants

pubmed: 33674312
pii: 7/10/eabe6204
doi: 10.1126/sciadv.abe6204
pmc: PMC7935360
pii:
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2021 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

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Auteurs

Antonio Martinez-Sanchez (A)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.
Department of Computer Sciences, Faculty of Sciences, University of Oviedo, Federico Garcia Lorca 18, 33007, Spain.
Instituto de Investigación Sanitaria del Principado de Asturias, University of Oviedo, Avenida Hospital Universitario s/n, 33011 Oviedo, Spain.
Institute of Neuropathology, University Medical Center Göttingen, 37075 Göttingen, Germany
Cluster of Excellence “Multiscale Bioimaging: from Molecular Machines to Networks of Excitable Cells” (MBExC), University of Göttingen, Göttingen, Germany

Ulrike Laugks (U)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

Zdravko Kochovski (Z)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

Christos Papantoniou (C)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

Luca Zinzula (L)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

Wolfgang Baumeister (W)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany.

Vladan Lučić (V)

Max Planck Institute of Biochemistry, Am Klopferspitz 18, 82152 Martinsried, Germany. vladan@biochem.mpg.de.

Classifications MeSH