Xin expression is observed within muscle satellite cells of regenerating skeletal muscle
Bibliographic record
Abstract
Xin is a novel actin‐binding protein whose expression has been demonstrated in the adherens junction complex in developing striated muscles. In the present study, we used microarray and RT‐PCR analysis to demonstrate that Xin is robustly upregulated (>16 fold increase) at 6 and 12 hours following skeletal muscle injury with a decline in expression pattern from 2 days to 14 days post‐injury. In situ hybridization analysis during the early time points of regeneration localize Xin expression to the periphery of the muscle fiber, in the location of the muscle satellite cell population. Expression of Xin within non‐muscle lineages (e.g. neural, hematopoeitic) was not observed. RT‐PCR analysis confirmed the expression pattern of Xin in primary myogenic satellite cell cultures, but not other known stem cell populations. In situ hybridization at later time points of skeletal muscle regeneration (5 and 7 days post‐injury) illustrate Xin expression within newly regenerated myofibres, as well as within the myopathic heart and diaphragm of the mdx mouse. Based on the known interaction of Xin and the actin cytoskeleton and the present findings, we would suggest that the early onset of Xin in response to skeletal muscle injury promotes satellite cell activation. These findings help to define the regulation of the muscle satellite cell population and may prove important in understanding and treating skeletal muscle myopathies.
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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) | 0.001 | 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".