P63 expression plays a role in developmental rate, embryo size, and local morphogenesis
Bibliographic record
Abstract
Background: The p63 gene is integral to the development of many body parts including limb, palate, teeth, and urogenital tract. Loss of p63 expression may alter developmental rate, which is crucial to normal morphogenesis. To validate a novel, unbiased embryo phenotyping software tool, we tested whether delayed development contributes to the pathological phenotype of a p63 mouse mutant (p63‐/‐). We quantified dysmorphology in p63‐/‐ embryos and tested for universal growth delay relative to wild‐type (WT) embryos. Fixed embryos (n = 6; p63‐/‐) aged day (E) 15.5 were micro‐CT scanned and quantitatively analyzed using a digital WT atlas that defined volumetric differences between p63‐/‐ and WT embryos. Results: p63‐/‐ embryos showed a growth delay of approximately 22 hr (0.9 days). Among the E15.5 mutants, overall size was closest to WT E14.6 mice but shape was closest to WT E14.0. The atlas clearly identified in p63‐/‐ embryos malformations of epithelial derivatives including limbs, tail, urogenital structures, brain, face, and tooth. Conclusions: The software atlas technique described the p63‐/‐ phenotype as a combination of developmental delay (i.e., heterochrony) and malformation (i.e., pathological shape; failed organogenesis). This study identifies for the first time global and local roles for p63 in prenatal growth and development. Developmental Dynamics 247:779–787, 2018. © 2018 Wiley Periodicals, Inc.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".