Selective inhibition of cathepsin B with cell-permeable CA074Me negatively affects L6 rat myoblast differentiation
Bibliographic record
Abstract
Active cathepsin B, in concert with other cellular proteases, has been implicated in the catabolic restructuring associated with myotube formation during skeletal myoblast cell differentiation (i.e., myogenesis). We have examined this role in differentiating myoblasts using the cell-permeable, cathepsin B selective inhibitor CA074Me. Cathepsin B activity levels in differentiating L6 rat myoblasts treated with CA074Me were significantly lower than levels in control myoblasts. Inhibition of cathepsin B activity by CA074Me occurred at each stage of differentiation and was dose related. Myotube size and number and induced levels of fusion-related creatine phosphokinase activity and myosin heavy-chain protein were reduced from 30 to 50% in CA074Me-treated myoblasts. These reductions were also dose related. In contrast, CA074Me did not affect levels of myogenin, an early marker of myogenesis, or levels of cathepsin L type and myokinase activities, two nonspecific enzymes. The negative effects associated with CA074Me were reversed when the drug was removed. Collectively, these data suggest that active cathepsin B plays a role in myoblast-myoblast fusion and consequently may be necessary for the complete expression of those genes associated with the fusion process.
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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) | 0.001 | 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 | 0.001 |
| 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".