Concise Review: Epigenetic Regulation of Myogenesis in Health and Disease
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Skeletal muscle regeneration is initiated by satellite cells, a population of adult stem cells that reside in the muscle tissue. The ability of satellite cells to self-renew and to differentiate into the muscle lineage is under transcriptional and epigenetic control. Satellite cells are characterized by an open and permissive chromatin state. The transcription factor Pax7 is necessary for satellite cell function. Pax7 is a nodal factor regulating the expression of genes associated with satellite cell growth and proliferation, while preventing differentiation. Pax7 recruits chromatin modifiers to DNA to induce expression of specific target genes involved in myogenic commitment following asymmetric division of muscle stem cells. Emerging evidence suggests that replacement of canonical histones with histone variants is an important regulatory mechanism controlling the ability of satellite cells and myoblasts to differentiate. Differentiation into the muscle lineage is associated with a global gene repression characterized by a decrease in histone acetylation with an increase in repressive histone marks. However, genes important for differentiation are upregulated by the specific action of histone acetyltransferases and other chromatin modifiers, in combination with several transcription factors, including MyoD and Mef2. Treatment with histone deacetylase (HDAC) inhibitors enhances muscle regeneration and is considered as a therapeutic approach in the treatment of muscular dystrophy. This review describes the recent findings on epigenetic regulation in satellite stem cells and committed myoblasts. The potential of epigenetic drugs, such as HDAC inhibitors, as well as their molecular mechanism of action in muscle cells, will be addressed.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 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