R-spondin1 regulates muscle progenitor cell fusion through control of antagonist Wnt signaling pathways
Bibliographic record
Abstract
SUMMARY Tissue regeneration requires the selective activation and repression of specific signaling pathways in stem cells. As such, the Wnt signaling pathways have been shown to control stem cell fate. In many cell types, the R-Spondin (Rspo) family of secreted proteins acts as potent activators of the canonical Wnt/β-catenin pathway. Here, we identify Rspo1 as a mediator of skeletal muscle tissue repair. Firstly we show that Rspo1-null muscles do not display any abnormalities at the basal level. However deletion of Rspo1 results in global alteration of muscle regeneration kinetics following acute injury. We found that muscle stem cells lacking Rspo1 show delayed differentiation. Transcriptome analysis further demonstrated that Rspo1 is required for the activation of Wnt/β-catenin target genes in muscle cells. Furthermore, muscle cells lacking Rspo1 fuse with a higher frequency than normal cells, leading to larger myotubes containing more nuclei both in vitro and in vivo . We found the increase in muscle fusion was dependent on up-regulation of non-canonical Wnt7a/Fzd7/Rac1 signaling. We conclude that antagonistic control of canonical and non-canonical Wnt signaling pathways by Rspo1 in muscle stem cell progeny is important for restitution of normal muscle architecture during skeletal 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".