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Cited by 297

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Spine-Type-Specific Recruitment of Newly Synthesized AMPA Receptors with Learning

Open access
Matsuo, Naoki, Reijmers, Leon, Mayford, Mark·2008·Science

Abstract

The stabilization of long-term memories requires de novo protein synthesis. How can proteins, synthesized in the soma, act on specific synapses that participate in a given memory? We studied the dynamics of newly synthesized AMPA-type glutamate receptors (AMPARs) induced with learning using transgenic mice expressing the GluR1 subunit fused to green fluorescent protein (GFP-GluR1) under control of the c-fos promoter. We found learning-associated recruitment of newly synthesized GFP-GluR1 selectively to mushroom-type spines in adult hippocampal CA1 neurons 24 hours after fear conditioning. Our results are consistent with a “synaptic tagging” model to allow activated synapses to subsequently capture newly synthesized receptor and also demonstrate a critical functional distinction in the mushroom spines with learning.

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Crossref · 10.1126/science.1149967

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Metadata

Authors
Matsuo, N., Reijmers, L., & Mayford, M.
Venue
Science
Published
2008-02-22
Volume
319
Issue
5866
Pages
1104-1107
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2036855091
Cited by
297
References
7
FWCI
8.81
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Spine-Type-Specific Recruitment of Newly Synthesized AMPA Receptors with Learning. https://app.cochat.ai/papers/10.1126/science.1149967
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Matsuo, N., Reijmers, L., & Mayford, M. (2008). Spine-Type-Specific Recruitment of Newly Synthesized AMPA Receptors with Learning. Science. https://doi.org/10.1126/science.1149967

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.