A Novel Gene Crispld2 may Contribute to Facial Dysmophology in a Chicken Model of Crouzon's Syndrome
Bibliographic record
Abstract
Craniosynostosis causes malformations of the skull that are characterized by premature suture closure, as well as malformations of the brain and face. Recent work in mice, and our data, suggest that the malformations in the brain and face are a primary consequence of mutations that produce craniosynostosis. Mutations in FgfR1–3 account for ~25% of craniosynostosis syndromes. To investigate mechanisms underlying these facial malformations, we infected chick embryos with a retrovirus encoding FgfR2C278F. Compared to controls, treated embryos have widened‐faces and midfacial dysplasia resembling defects seen in craniosynostosis. Further, microarray analysis detected changes in gene expression. In particular, Crispld2 (cysteine rich secretory LCCL domain protein 2), a nonsyndromic cleft lip/palate related gene, is downregulated. The function of Crispld2, and how it may contribute to cleft lip, is unknown. We detected Crispld2 expression in facial mesenchyme in chicken embryos at HH 22. To assess function of this gene, we created an RCAS vector encoding Crispld2. Infected chicken fibroblasts appeared to migrate faster than controls cells, but embryos infected with the virus appeared normal. Therefore, we are currently investigating the effect of knocking‐down Crispld2. In conclusion, we have identified a novel gene Crispld2 and are determining the role this gene plays in craniofacial development. Grant Funding Source : NIH
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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) | 0.001 | 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".