Rod and cone degeneration in the rd mouse is p53 independent.
Bibliographic record
Abstract
PURPOSE: To determine whether p53 is required for the death of rod and cone photoreceptors in rd mice, a model of human retinitis pigmentosa, and/or for the natural degeneration of inner nuclear layer (INL) cells in the developing retina. METHODS: Rod photoreceptor and INL apoptosis was assessed by TUNEL staining of mouse sagittal sections from post natal day (P) 10, 13, 15, 17, and 20 day p53+/+ and p53-/- rd retinas. Cone photoreceptor survival was measured by counting the total number of peanut agglutinin (PNA) positive cells in eighty four 0.25 mm x 0.25 mm bins in each eye, distributed equally across the four quadrants of whole mount retinas from 3 month old p53+/+ and p53-/- rd retinas. RESULTS: Both the kinetics of rod and INL cell death as well as the survival of cones were essentially unaffected by the absence of p53. CONCLUSIONS: Despite established links with retinal apoptosis, p53 is not essential for rod or cone cell degeneration in the rd mouse or for the elimination of bipolar and Muller cells during late retinal development.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
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".