Inhibitory postsynaptic density from the lens of phase separation.

biomolecular condensate excitatory synapse gephyrin inhibitory synapse phase separation postsynaptic density

Journal

Oxford open neuroscience
ISSN: 2753-149X
Titre abrégé: Oxf Open Neurosci
Pays: England
ID NLM: 9918487584406676

Informations de publication

Date de publication:
2022
Historique:
received: 18 01 2022
revised: 22 02 2022
accepted: 22 02 2022
medline: 4 5 2022
pubmed: 4 5 2022
entrez: 10 4 2024
Statut: epublish

Résumé

To faithfully transmit and decode signals released from presynaptic termini, postsynaptic compartments of neuronal synapses deploy hundreds of various proteins. In addition to distinct sets of proteins, excitatory and inhibitory postsynaptic apparatuses display very different organization features and regulatory properties. Decades of extensive studies have generated a wealth of knowledge on the molecular composition, assembly architecture and activity-dependent regulatory mechanisms of excitatory postsynaptic compartments. In comparison, our understanding of the inhibitory postsynaptic apparatus trails behind. Recent studies have demonstrated that phase separation is a new paradigm underlying the formation and plasticity of both excitatory and inhibitory postsynaptic molecular assemblies. In this review, we discuss molecular composition, organizational and regulatory features of inhibitory postsynaptic densities through the lens of the phase separation concept and in comparison with the excitatory postsynaptic densities.

Identifiants

pubmed: 38596704
doi: 10.1093/oons/kvac003
pii: kvac003
pmc: PMC10913824
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

kvac003

Informations de copyright

© The Author(s) 2022. Published by Oxford University Press.

Déclaration de conflit d'intérêts

None declared.

Auteurs

Guanhua Bai (G)

School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.

Mingjie Zhang (M)

School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China.
Greater Bay Biomedical Innocenter, Shenzhen Bay Laboratory, Shenzhen 518036, China.

Classifications MeSH