The expression of <i>Myf5</i> in the developing mouse embryo is controlled by discrete and dispersed enhancers specific for particular populations of skeletal muscle precursors
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Bibliographic record
Abstract
The development of skeletal muscle in vertebrate embryos is controlled by a transcriptional cascade that includes the four myogenic regulatory factors Myf5, Myogenin, MRF4 and MyoD. In the mouse embryo, Myf5 is the first of these factors to be expressed and mutational analyses suggest that this protein acts early in the process of commitment to the skeletal muscle fate. We have therefore analysed the regulation of Myf5 gene expression using transgenic technology and find that its control is markedly different from that of the other two myogenic regulatory factor genes previously analysed, Myogenin and MyoD. We show that Myf5 is regulated through a number of distinct and discrete enhancers, dispersed throughout 14 kb spanning the MRF4/Myf5 locus, each of which drives reporter gene expression in a particular subset of skeletal muscle precursors. This region includes four separate enhancers controlling expression in the epaxial muscle precursors of the body, some hypaxial precursors of the body, some facial muscles and the central nervous system. These elements separately or together are unable to drive expression in the cells that migrate to the limb buds and in some other muscle subsets and to correctly maintain expression at late times. We suggest that this complex mechanism of control has evolved because different inductive signals operate in each population of muscle precursors and thus distinct enhancers, and cognate transcription factors, are required to interpret them.
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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