Synapse specific and plasticity-regulated AMPAR mobility tunes synaptic integration Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1101/2024.03.19.584837
Synaptic responses adapt to fast repetitive inputs during bursts of neuronal network activity over timescales of milliseconds to seconds, either transiently facilitating or depressing. This high-frequency stimulus-dependent short-term synaptic plasticity (HF-STP) relies on a number of molecular processes that collectively endow synapses with filtering properties for information processing, optimized for the transmission of certain input frequencies and patterns in distinct circuits 1–3 . Changes in HF-STP are traditionally thought to stem from changes in pre-synaptic transmitter release 1,2 , but post-synaptic modifications in receptor biophysical properties or surface diffusion also regulate HF-STP 4–11 . A major challenge in understanding synapse function is to decipher how pre- and post-synaptic mechanisms synergistically tune synaptic transmission efficacy during HF-STP, and to determine how neuronal activity modifies post-synaptic signal computation and integration to diversify neuronal circuit function. Here, taking advantage of new molecular tools to directly visualize glutamate release 12 and specifically manipulate the surface diffusion of endogenous AMPAR in intact circuits 13 , we define the respective contributions of pre-synaptic glutamate release, AMPAR desensitization and surface mobility to frequency-dependent synaptic adaptation. We demonstrate that post-synaptic gain control and signal integration capacity in synaptic networks is influenced by synapse-specific differences in AMPAR desensitization and diffusion-trapping characteristics that are shaped by molecular signaling events recruited during LTP.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2024.03.19.584837
- https://www.biorxiv.org/content/biorxiv/early/2024/03/20/2024.03.19.584837.full.pdf
- OA Status
- green
- Cited By
- 2
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393007705
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393007705Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2024.03.19.584837Digital Object Identifier
- Title
-
Synapse specific and plasticity-regulated AMPAR mobility tunes synaptic integrationWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-20Full publication date if available
- Authors
-
Agata Nowacka, Angela M. Getz, Hanna L. Zieger, Diogo Bessa‐Neto, Christelle Breillat, Sophie Daburon, Cécile Lemoigne, Sébastien Marais, Mathieu Ducros, Andrew C. Penn, Matthieu Sainlos, Daniel ChoquetList of authors in order
- Landing page
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https://doi.org/10.1101/2024.03.19.584837Publisher landing page
- PDF URL
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https://www.biorxiv.org/content/biorxiv/early/2024/03/20/2024.03.19.584837.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.biorxiv.org/content/biorxiv/early/2024/03/20/2024.03.19.584837.full.pdfDirect OA link when available
- Concepts
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Synaptic plasticity, Synapse, Neuroscience, Metaplasticity, Plasticity, AMPA receptor, Synaptic scaling, Chemistry, Biology, Physics, Glutamate receptor, Receptor, Biochemistry, ThermodynamicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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2Total citation count in OpenAlex
- Citations by year (recent)
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2024: 2Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.milliseconds | 17 |
| abstract_inverted_index.pre-synaptic | 75, 167 |
| abstract_inverted_index.specifically | 148 |
| abstract_inverted_index.transmission | 52, 113 |
| abstract_inverted_index.contributions | 165 |
| abstract_inverted_index.modifications | 82 |
| abstract_inverted_index.post-synaptic | 81, 108, 124, 182 |
| abstract_inverted_index.traditionally | 68 |
| abstract_inverted_index.understanding | 99 |
| abstract_inverted_index.high-frequency | 26 |
| abstract_inverted_index.characteristics | 202 |
| abstract_inverted_index.desensitization | 171, 199 |
| abstract_inverted_index.synergistically | 110 |
| abstract_inverted_index.synapse-specific | 195 |
| abstract_inverted_index.diffusion-trapping | 201 |
| abstract_inverted_index.stimulus-dependent | 27 |
| abstract_inverted_index.frequency-dependent | 176 |
| cited_by_percentile_year.max | 96 |
| cited_by_percentile_year.min | 94 |
| corresponding_author_ids | https://openalex.org/A5081422974 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 12 |
| corresponding_institution_ids | https://openalex.org/I1294671590, https://openalex.org/I154526488, https://openalex.org/I4387155075 |
| citation_normalized_percentile.value | 0.65216715 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |