Phosphoproteomic identification of Xin as a novel requirement for skeletal muscle disuse atrophy
Bibliographic record
Abstract
Abstract Background Immobilization of skeletal muscle in a stretched position is associated with marked protection against disuse atrophy. Some intramyocellular changes in known proteins and post-translational modifications were previously linked to this phenomenon but there are likely many presently unknown proteins and post-translational modifications that contribute to this beneficial effect. Methods To identify novel proteins and phosphorylation events involved in stretch-induced reduction of disuse atrophy, we conducted a global unbiased screen of the changes occurring in skeletal muscle in control vs. 1 day and 1 week stretched cast-immobilized mouse tibialis anterior muscle, using quantitative tandem mass spectrometry on HILIC-fractionated muscle peptides with follow-up studies in transgenic mice and humans. Results Our mass spectrometry analyses detected 11714 phosphopeptides and 2081 proteins, of which 53 phosphopeptides and 5 proteins, 125 phosphopeptides and 43 proteins were deregulated after 1D and 7D of stretched immobilization, respectively. The sarcomere and muscle tendinous junction-associated putative multi-adaptor protein Xin was among the most highly upregulated proteins both in terms of phosphorylation and protein expression and was confirmed to increase with stretch but not disuse atrophy in mice and to increase and decrease with exercise and cast immobilization, respectively, in humans. Xin -/- mice were partially protected against disuse but not denervation atrophy in both stretched and flexed immobilized muscles compared to WT. Conclusion This study identified Xin as a novel protein involved in disuse atrophy and also provides a resource to guide future hypothesis-driven investigations into uncovering critical factors in the protection against disuse atrophy.
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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 | 0.000 |
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 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".