Pax7 Expressing Cells Contribute to Dermal Wound Repair, Regulating Scar Size through a β-Catenin Mediated Process
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
During skin wound healing, fibroblast-like cells reconstitute the dermal compartment of the repaired skin filling the wound gap. A subset of these cells are transcriptionally active for β-catenin/T-cell factor (TCF) signaling during the proliferative phase of the repair process, and β-catenin levels control the size of the scar that ultimately forms by regulating the number of dermal fibroblasts. Here, we performed cell lineage studies to reveal a source of the dermal cells in which β-catenin signaling is activated during wound repair. Using a reporter mouse, we found that cells in the early wound in which TCF-dependent transcription is activated express genes involved in muscle development. Using mice in which cells express Pax7 (muscle progenitors) or Mck (differentiated myocytes) are permanently labeled, we showed that one quarter of dermal cells in the healing wound are Pax7 expressing progeny, but none are Mck progeny. Removing one allele of β-catenin in Pax7 expressing progeny resulted in a significantly smaller scar size with fewer Pax7 expressing progeny cell contributing to wound repair. During wound healing, β-catenin activation causes muscle satellite cells to adopt a fibrotic phenotype and this is a source of dermal cells in the repair process.
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