p53-Dependent Transcriptional Control of Cellular Prion by Presenilins
Bibliographic record
Abstract
The presenilin-dependent gamma-secretase processing of the beta-amyloid precursor protein (betaAPP) conditions the length of the amyloid beta peptides (Abeta) that accumulate in the senile plaques of Alzheimer's disease-affected brains. This, together with an additional presenilin-mediated epsilon-secretase cleavage, generates intracellular betaAPP-derived fragments named amyloid intracellular domains (AICDs) that regulate the transcription of several genes. We establish that presenilins control the transcription of cellular prion protein (PrP(c)) by a gamma-secretase inhibitor-sensitive and AICD-mediated process. We demonstrate that AICD-dependent control of PrP(c) involves the tumor suppressor p53. Thus, p53-deficiency abolishes the AICD-mediated control of PrP(c) transcription. Furthermore, we show that p53 directly binds to the PrP(c) promoter and increases its transactivation. Overall, our study unravels a transcriptional regulation of PrP(c) by the oncogene p53 that is directly driven by presenilin-dependent formation of AICD. Furthermore, it adds support to previous reports linking secretase activities involved in betaAPP metabolism to the physiology of PrP(c).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".