Function of Transforming Growth Factor β2 and β3 in Palatogenesis
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION: This study aimed to examine the transforming growth factor (TGF)-β signaling pathway during secondary palate fusion by transfecting single and double small interfering RNA (siRNAs) for TGF-β2 and -β3. This investigation also focused on understanding the phenotype of palatal development. METHODS: siRNAs targeting TGF-β2 and -β3 were used in an organ culture model of fusion of the secondary palate of 13-day embryonic ICR mice cultured for up to 72 h. The palatal shelves were collected at different times following the initiation of organ culture and were examined for TGF-β2 and -β3 gene expression. Downstream signaling was characterized using Western blotting and PCR. RESULTS: In the double siRNA-treated palatal shelves, approximately 90% (91% anterior, 89% posterior with phenotype A) showed fusion failure in hematoxylin and eosin staining. Phosphorylation of Smad-dependent and -independent signaling showed a significant reduction in phosphorylation in double knockdown palate organ cultures when compared to single knockdown cultures. Although, the expression of matrix metalloproteinase 13 and TIMP2 were small influenced by siTGF-β2, the extracellular matrix and transcription factor expressions showed to be significantly reduced in double knockdown palate compared to single knockdown palates. CONCLUSIONS: This study demonstrates that double siRNAs targeting TGF-β2 and -β3 results in phenotypes during secondary palatal fusion and that they could be affected phosphorylation of Smad-dependent and -independent signaling synergistically compared to single knockdown of TGF-β2 and -β3. The results of this study demonstrate important functions during secondary palatal fusion and will contribute to our understanding of the etiology of cleft palate.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it