Interaction of the c-Jun/JNK Pathway and Cyclin-dependent Kinases in Death of Embryonic Cortical Neurons Evoked by DNA Damage
Bibliographic record
Abstract
DNA damage, an important initiator of neuronal death, has been implicated in numerous neurodegenerative conditions. We previously delineated several pathways that control embryonic cortical neuronal death evoked by the DNA-damaging agent, camptothecin. In this model, the tumor suppressor p53 and cyclin-dependent kinases (CDKs) are activated independently and cooperate to mediate the conserved death pathway. To further our understanding, we presently examined whether the c-Jun/JNK pathway modulates death and whether this pathway is regulated by CDKs, p53, and Bax. We show that c-Jun/JNK is activated following DNA damage. Moreover, the c-Jun pathway is one mediator of death, because expression of dominant negative c-Jun and cdc42, and JNK pathway inhibitors are neuroprotective. Although previous evidences indicate that JNK3 is required for neuronal death under certain conditions, we show that JNK3 deficiency only partially mediates c-Jun phosphorylation and its deficiency does not protect neurons from death. Interestingly, we provide evidence that CDK activity regulates c-Jun but does not affect upstream pathways that lead to JNK phosphorylation. Finally, c-Jun activation is independent of p53 and Bax. Accordingly, we propose that c-Jun is regulated by the JNK and CDK pathways and that both must be activated for efficient c-Jun activation to occur.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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".