Cyclin-Dependent Kinase 5 Mediates Neurotoxin-Induced Degradation of the Transcription Factor Myocyte Enhancer Factor 2
Bibliographic record
Abstract
Regulation of the process of neuronal death plays a central role both during development of the CNS and in adult brain. The transcription factor myocyte enhancer factor 2 (MEF2) plays a critical role in neuronal survival. Cyclin-dependent kinase 5 (Cdk5) mediates neurotoxic effects by phosphorylating and inhibiting MEF2. How Cdk5-dependent phosphorylation reduces MEF2 transactivation activity remained unknown. Here, we demonstrate a novel mechanism by which Cdk5, in conjunction with caspase, inhibits MEF2. Using primary cerebellar granule neuron as a model, our investigation reveals that neurotoxicity induces destabilization of MEF2s in neurons. Destabilization of MEF2 is caused by an increase in caspase-dependent cleavage of MEF2. This cleavage event requires nuclear activation of Cdk5 activity. Phosphorylation by Cdk5 alone is sufficient to promote degradation of MEF2A and MEF2D by caspase-3. In contrast to MEF2A and MEF2D, MEF2C is not phosphorylated by Cdk5 after glutamate exposure and, therefore, resistant to neurotoxin-induced caspase-dependent degradation. Consistently, blocking Cdk5 or enhancing MEF2 reduced toxin-induced apoptosis. These findings define an important regulatory mechanism that for the first time links prodeath activities of Cdk5 and caspase. The convergence of Cdk5 phosphorylation-dependent caspase-mediated degradation of nuclear survival factors exemplified by MEF2 may represent a general process applicable to the regulation of other survival factors under diverse neurotoxic conditions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".