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Cited by 787

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The Neural Cell Adhesion Molecule (NCAM) as a Regulator of Cell-Cell Interactions

Open access
Rutishauser, Urs, Acheson, Ann, Hall, Alison K., Mann, Dennis M., Sunshine, Jeffrey·1988·Science

Abstract

The neural cell adhesion molecule (NCAM) can influence a number of diverse intercellular events, including junctional communication, the association of axons with pathways and targets, and signals that alter levels of neurotransmitter enzymes. These pleiotropic effects appear to reflect the ability of NCAM to regulate membrane-membrane contact required to initiate specific interactions between other molecules. Such regulation can occur through changes in either NCAM expression or the molecule's content of polysialic acid (PSA). When NCAM with a low PSA content is expressed, adhesion is increased and contact-dependent events are triggered. In contrast, the large excluded volume of NCAM PSA can inhibit cell-cell interactions through hindrance of overall membrane apposition.

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Crossref · 10.1126/science.3281256

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Metadata

Authors
Rutishauser, U., Acheson, A., Hall, A. K., Mann, D. M., & Sunshine, J.
Venue
Science
Published
1988-04
Volume
240
Issue
4848
Pages
53-57
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2037230002
Cited by
787
References
1
FWCI
16.71
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: The Neural Cell Adhesion Molecule (NCAM) as a Regulator of Cell-Cell Interactions. https://app.cochat.ai/papers/10.1126/science.3281256
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Rutishauser, U., Acheson, A., Hall, A. K., Mann, D. M., & Sunshine, J. (1988). The Neural Cell Adhesion Molecule (NCAM) as a Regulator of Cell-Cell Interactions. Science. https://doi.org/10.1126/science.3281256

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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.