β-Catenin Is Essential and Sufficient for Skeletal Myogenesis in P19 Cells
Bibliographic record
Abstract
Wnt1 and Wnt3a are signaling factors known to play a role in the induction of myogenesis in the myotome of the differentiating somite. Both factors may transduce their signal by a conserved pathway that leads to transcriptional regulation by beta-catenin/Lef1. beta-Catenin and Lef1 are found in the myotome prior to MyoD expression. We have utilized the P19 cell system to study the mechanisms by which Wnt3a may activate MyoD expression and subsequent skeletal muscle development. We have isolated P19 cell lines that stably express either Wnt3a or activated beta-catenin and found that aggregation of these cells results in the induction of myogenesis compared with control cells. Pax3, Gli2, Mox1, and Six1 were expressed during Wnt3a and beta-catenin-induced differentiation prior to MyoD expression. Furthermore, we have shown that the nuclear function of beta-catenin was essential for skeletal myogenesis in P19 cells by overexpression of a dominant negative beta-catenin/engrailed chimera. Primitive streak factors were present, but expression of Pax3, Mox1, Gli2, and Six1 was lost in these cells, indicating that nuclear beta-catenin is essential for specification of mesodermal precursors to the myogenic lineage. Therefore, Wnt signaling, acting via beta-catenin, is necessary and sufficient for skeletal myogenesis in P19 cells.
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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) | 0.003 | 0.002 |
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".