Regulation of NMDA receptors by the tyrosine kinase Fyn
Bibliographic record
Abstract
The phosphorylation and trafficking of N-methyl-d-aspartate (NMDA) receptors are tightly regulated by the Src family tyrosine kinase Fyn, through dynamic interactions with various scaffolding proteins in the NMDA receptor complex. Fyn acts as a point of convergence for many signaling pathways that upregulate GluN2B-containing NMDA receptors. In the following review, we focus on Fyn signaling downstream of different G-protein-coupled receptors: the dopamine D1 receptor, and receptors cognate to the pituitary adenylate cyclase-activating polypeptide. The net result of activation of each of these signaling pathways is upregulation of GluN2B-containing NMDA receptors. The NMDA receptor is a major target of ethanol in the brain, and accumulating evidence suggests that Fyn mediates the effects of ethanol by regulating the phosphorylation of GluN2B NMDA receptor subunits. Furthermore, Fyn has been shown to regulate alcohol withdrawal and acute tolerance to ethanol through a GluN2B-dependent mechanism. In addition to its effects on NMDA receptor function, Fyn also modifies the threshold for synaptic plasticity at CA1 synapses, an effect that probably contributes to the effects of Fyn on spatial and contextual fear learning.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".