PTHrP Nuclear Localization and Carboxyl Terminus Sequences Modulate Dental and Mandibular Development in Part via the Action of p27
Bibliographic record
Abstract
To determine whether the action of the PTHrP nuclear localization sequence and C terminus is mediated through p27 in modulating dental and mandibular development, compound mutant mice, which are homozygous for both p27 deletion and the PTHrP1–84 knock-in mutation (p27−/−PthrpKI/KI), were generated. Their teeth and mandibular phenotypes were compared with those of p27−/−, PthrpKI/KI, and wild-type mice. At 2 weeks of age, the mandibular mineral density, alveolar bone volume, osteoblast numbers, and dental volume, dentin sialoprotein-immunopositive areas in the first molar were increased significantly in p27−/− mice and decreased dramatically in both PthrpKI/KI and p27−/−PthrpKI/KI mice compared with wild-type mice; however, these parameters were partly rescued in p27−/−PthrpKI/KI mice compared with PthrpKI/KI mice. These data demonstrate that the deletion of p27 in PthrpKI/KI mice can partially rescue defects in dental and mandibular development. Furthermore, we found that deletion of p27 in PthrpKI/KI mice partially corrected the dental and mandibular phenotype by modulating cell cyclin-regulating molecules and antioxidant enzymes. This study therefore indicates that the p27 pathway may function downstream in the action of PTHrP nuclear localization sequence to regulate dental and mandibular development.
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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 | 0.001 |
| 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".