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Cited by 801

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

SynCAM, a Synaptic Adhesion Molecule That Drives Synapse Assembly

Biederer, Thomas, Sara, Yildirim, Mozhayeva, Marina, Atasoy, Deniz, Liu, Xinran, Kavalali, Ege T., Südhof, Thomas C.·2002·Science

Abstract

Synapses, the junctions between nerve cells through which they communicate, are formed by the coordinated assembly and tight attachment of pre- and postsynaptic specializations. We now show that SynCAM is a brain-specific, immunoglobulin domain–containing protein that binds to intracellular PDZ-domain proteins and functions as a homophilic cell adhesion molecule at the synapse. Expression of the isolated cytoplasmic tail of SynCAM in neurons inhibited synapse assembly. Conversely, expression of full-length SynCAM in nonneuronal cells induced synapse formation by cocultured hippocampal neurons with normal release properties. Glutamatergic synaptic transmission was reconstituted in these nonneuronal cells by coexpressing glutamate receptors with SynCAM, which suggests that a single type of adhesion molecule and glutamate receptor are sufficient for a functional postsynaptic response.

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Crossref · 10.1126/science.1072356

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Metadata

Authors
Biederer, T., Sara, Y., Mozhayeva, M., Atasoy, D., Liu, X., Kavalali, E. T., & Südhof, T. C.
Venue
Science
Published
2002-08-30
Volume
297
Issue
5586
Pages
1525-1531
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2051434331
Cited by
801
References
29
FWCI
13.02
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: SynCAM, a Synaptic Adhesion Molecule That Drives Synapse Assembly. https://app.cochat.ai/papers/10.1126/science.1072356
The paper
Biederer, T., Sara, Y., Mozhayeva, M., Atasoy, D., Liu, X., Kavalali, E. T., & Südhof, T. C. (2002). SynCAM, a Synaptic Adhesion Molecule That Drives Synapse Assembly. Science. https://doi.org/10.1126/science.1072356

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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.