Implication du facteur de transcription GATA-6 dans la régénération musculaire
Bibliographic record
Abstract
Efficient muscle regeneration is essential in mammals in order to overcome daily stress such as wounds, exercise and pathologic processes. This regeneration relies on muscle stem cells, the satellite cells. After a lesion, satellite cells are activated, proliferate and differentiate in fonctionnal muscle fibers. Our laboratory has previously shown that the transcription factor GATA-6 is expressed in the satellite cells. The present thesis confirms the expression of this factor in this cell type. Also, it seems that GATA-6 could be implicated in the maintaining of quiescence of these cells. The GATA-6 heterozygous mouse muscle is characterized by an increase level of Myf5 and Pax7+ cells. Moreover, suppression of one copy of the GATA-6 gene in a muscular dystrophy model mouse, the mdx mice, alleviates its phenotype. Further experiments on a muscle-specific GATA-6 null mouse will allow a better understanding of the role of GATA-6 in muscle regeneration.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".