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The Probability of Neurotransmitter Release Governs AMPA Receptor Trafficking via Activity-Dependent Regulation of mGluR1 Surface Expression

Title
The Probability of Neurotransmitter Release Governs AMPA Receptor Trafficking via Activity-Dependent Regulation of mGluR1 Surface Expression
Author(s)
Sanderson, Thomas M.Bradley, Clarrisa A.Georgiou, JohnHong, Yun HwaNg, Ai NaLee, YeseulKim, Hee-DaeKim, DoyeonAmici, MasciaSon, Gi HoonZhuo, MinKim, KyungjinKaang, Bong-KiunKim, Sang JeongCollingridge, Graham L.
Issued Date
2018-12
Citation
Cell Reports, v.25, no.13, pp.3631 - 3646.e3
Type
Article
Author Keywords
AMPADHPGFM dyeLong-term depressionLTDmetabotropicmGluRP(r)probability of releasetheta burst
Keywords
LONG-TERM DEPRESSIONMETABOTROPIC GLUTAMATE-RECEPTORPRESYNAPTIC FUNCTION DRIVENDHPG-INDUCED LTDSYNAPTIC-TRANSMISSIONRAT HIPPOCAMPUSCA1 REGIONAREA CA1ACTIVATIONINTERNALIZATION
ISSN
2211-1247
Abstract
A major mechanism contributing to synaptic plasticity involves alterations in the number of AMPA receptors (AMPARs) expressed at synapses. Hippocampal CA1 synapses, where this process has been most extensively studied, are highly heterogeneous with respect to their probability of neurotransmitter release, P(r). It is unknown whether there is any relationship between the extent of plasticity-related AMPAR trafficking and the initial P(r) of a synapse. To address this question, we induced metabotropic glutamate receptor (mGluR) dependent long-term depression (mGluR-LTD) and assessed AMPAR trafficking and P(r) at individual synapses, using SEP-GluA2 and FM4-64, respectively. We found that either pharmacological or synaptic activation of mGluR1 reduced synaptic SEP-GluA2 in a manner that depends upon P(r); this process involved an activity-dependent reduction in surface mGluR1 that selectively protects high-P(r) synapses from synaptic weakening. Consequently, the extent of postsynaptic plasticity can be pre-tuned by presynaptic activity. © 2018 The AuthorsSynaptic strength can change in response to patterned electrical stimulation, resulting in networks that encode memories. Sanderson et al. have found that synapses don't necessarily respond the same way to identical patterns, however. The change in synaptic strength depends on the probability of neurotransmitter release, a highly variable synaptic property. © 2018 The Authors
URI
http://hdl.handle.net/20.500.11750/9544
DOI
10.1016/j.celrep.2018.12.010
Publisher
Cell Press
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Appears in Collections:
ETC 1. Journal Articles

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