USP19 deubiquitinating enzyme inhibits muscle cell differentiation by suppressing unfolded-protein response signaling
Bibliographic record
Abstract
The USP19 deubiquitinating enzyme modulates the expression of myogenin and myofibrillar proteins in L6 muscle cells. This raised the possibility that USP19 might regulate muscle cell differentiation. We therefore tested the effects of adenoviral-mediated overexpression or small interfering RNA (siRNA)-mediated silencing of either the cytoplasmic or endoplasmic reticulum (ER)-localized isoforms of USP19. Only the ER-localized isoform of USP19 (USP19-ER) modulated myoblast fusion as well as the expression of myogenin and myofibrillar proteins, and these effects were also dependent on USP19 catalytic activity. USP19-ER inhibited muscle cell differentiation and the induction of CHOP, a transcription factor in the unfolded-protein response (UPR) that is activated during differentiation. Inducing the UPR by creating mild ER stress with thapsigargin was able to reverse the defect in myoblast fusion caused by the overexpression of USP19-ER, suggesting strongly that USP19 exerts its effects on fusion through its effects on UPR signaling. USP19 also functions similarly in vivo, as USP19(-/-) mice display improved muscle regeneration concomitant with enhanced expression of CHOP. Collectively these results implicate a deubiquitinating enzyme as a regulator of the UPR. They also suggest that inhibition of USP19 may be a therapeutic approach for the enhancement of muscle growth following injury.
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How this classification was reachedexpand
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) | 0.000 | 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".