The BMP ligand Gdf6a Regulates Development of the Zebrafish Craniofacial Skeleton in a Pharyngeal Arch-Specific Manner
Bibliographic record
Abstract
Abstract Craniofacial development involves the concerted action of several different tissue types and cellular processes that must be intricately regulated. Here, we describe the role of the BMP ligand Growth and Differentiation Factor 6a ( gdf6a ) in the development of the zebrafish craniofacial skeleton. Larval gdf6a mutant zebrafish have malformations in the midline of the craniofacial skeleton that correlate with the expression of gdf6a in the embryonic pharyngeal arches. We show that Gdf6a has arch-specific roles in craniofacial morphogenesis; Gdf6a promotes chondrogenesis and alignment of midline craniofacial elements in the posterior pharyngeal arches (arches 2 and 3) and regulates morphogenesis within the mandibular symphysis of pharyngeal arch 1. We demonstrate that Gdf6a regulates craniofacial development through activation of canonical BMP signaling, likely acting cooperatively with additional BMP ligands. Taken together, this work elucidates how Gdf6a / BMP signaling directs development of the craniofacial skeleton, specifically along the ventral midline. Summary Statement Gdf6a regulates the development of the midline structures in the zebrafish craniofacial skeleton in an arch-specific manner via canonical BMP signaling.
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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) | 0.002 | 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".