The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
NMDA Channel Regulation by Channel-Associated Protein Tyrosine Kinase Src
Abstract
The N -methyl-D-aspartate (NMDA) receptor mediates synaptic transmission and plasticity in the central nervous system (CNS) and is regulated by tyrosine phosphorylation. In membrane patches excised from mammalian central neurons, the endogenous tyrosine kinase Src was shown to regulate the activity of NMDA channels. The action of Src required a sequence [Src(40–58)] within the noncatalytic, unique domain of Src. In addition, Src coprecipitated with NMDA receptor proteins. Finally, endogenous Src regulated the function of NMDA receptors at synapses. Thus, NMDA receptor regulation by Src may be important in development, plasticity, and pathology in the CNS.
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Domain Interaction Between NMDA Receptor Subunits and the Postsynaptic Density Protein PSD-95
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Changing subunit composition of heteromeric NMDA receptors during development of rat cortex
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Impaired Long-Term Potentiation, Spatial Learning, and Hippocampal Development in fyn Mutant Mice
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N-methyl-D-aspartic acid receptor structure and function
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Protein kinase C reduces Mg2+ block of NMDA-receptor channels as a mechanism of modulation
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Metadata
- Authors
- Yu, X.-M., Askalan, R., Keil, G. J., & Salter, M. W.
- Venue
- Science
- Published
- 1997-01-31
- Volume
- 275
- Issue
- 5300
- Pages
- 674-678
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1984057909
- Cited by
- 608
- References
- 30
- FWCI
- 18.11
- Type
- journal article
- Language
- en
- Open access
- closed
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- Yu, X.-M., Askalan, R., Keil, G. J., & Salter, M. W. (1997). NMDA Channel Regulation by Channel-Associated Protein Tyrosine Kinase Src. Science. https://doi.org/10.1126/science.275.5300.674
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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.