CXCR7 promotes foetal myoblast fusion at muscle fiber tips independently of Myomaker via a ß1integrin-EGFR-dependent mechanism
Bibliographic record
Abstract
Abstract Muscle growth must be tightly regulated during development in order to obtain the final muscle shape. Myoblast fusion is a critical step of muscle growth, driving the formation of syncytial myofibers attaching at both ends to tendons. We investigated the role of the CXCR7 chemokine receptor in foetal muscle growth during chicken limb development. We show that CXCR7 displays a regionalized expression at the tips of myofibers close to tendons in foetal limb muscles, which is exclusive to the central location of the fusion gene MYOMAKER ( TMEM8C in chicken) in foetal muscles. CXCR7 promotes myoblast fusion independently of TMEM8C in chicken limb muscles and in foetal myoblast cultures and requires EGF receptor signalling. The CXCR7 ligand, CXCL12, expressed in connective tissue, increases ß1integrin activation at the myotendinous junction and CXCR7 expression at muscle tips, resulting in a fusion promoting effect independent from a direct binding of CXCL12 to CXCR7 receptor. Our results evidence a CXCR7-dependent/TMEM8C-independent fusion mechanism at the myofiber tips that regulates muscle growth at the tendon/muscle interface during foetal myogenesis.
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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".