Pax3 Is Essential for Skeletal Myogenesis and the Expression of Six1 and Eya2
Bibliographic record
Abstract
Pax3 is a paired box transcription factor expressed during somitogenesis that has been implicated in initiating the expression of the myogenic regulatory factors during myogenesis. We find that Pax3 is necessary and sufficient to induce myogenesis in pluripotent stem cells. Pax3 induced the expression of the transcription factor Six1, its cofactor Eya2, and the transcription factor Mox1 prior to inducing the expression of MyoD and myogenin. Overexpression of a dominant negative Pax3, engineered by fusing the active transcriptional repression domain of mouse EN-2 in place of the Pax3 transcriptional activation domain, completely abolished skeletal myogenesis without inhibiting cardiogenesis. Expression of the dominant negative Pax3 resulted in a loss of expression of Six1, Eya2, and endogenous Pax3 as well as a down-regulation in the expression of Mox1. No effect was found on the expression of Gli2. These results indicate that Pax3 activity is essential for skeletal muscle development, the expression of Six1 and Eya2, and is involved in regulating its own expression. In summary, the combined approach of expressing both a wild type and dominant negative transcription factor in stem cells has identified a cascade of transcriptional events controlled by Pax3 that are necessary and sufficient for skeletal myogenesis.
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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 | 0.000 |
| 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".