Regulation of Calpain Activity by c-Myc through Calpastatin and Promotion of Transformation in c-Myc-negative Cells by Calpastatin Suppression
Bibliographic record
Abstract
The c-Myc transcription factor is commonly dysregulated in cancer. c-Myc also sensitizes cells to apoptosis induced by a variety of toxic events. c-Myc turnover is rapid and mediated by the proteasome and intracellular calpains. Therefore, c-Myc accumulation could contribute to cell death associated with protease inhibitors. We investigated the response of c-Myc-positive and c-Myc-negative rat fibroblast cells to proteasome and calpain inhibitors. Apoptosis induced by the proteasome inhibitor, epoxomycin, was c-Myc-independent, whereas apoptosis induced by the calpain inhibitor, PD150606, or by knockdown of calpain small subunit 1 (CPNS1) was strongly dependent on c-Myc. HL60 cells knocked down for c-Myc expression exhibited reduced calpain activity and decreased sensitivity to PD150606 but not epoxomycin. Calpain inhibitor- or CPNS1 knockdown-induced apoptosis in c-Myc-positive fibroblasts was associated with cell detachment and could be prevented by plating cells on fibronectin, suggesting an anoikis phenomenon. c-Myc stimulated calpain activity by suppressing calpastatin expression, the endogenous calpain inhibitor. Knockdown of calpastatin in c-Myc-negative cells led to a restoration of calpain activity, enhanced cell growth, cell cycle redistribution, anchorage independence, and tumorigenicity in immunodeficient mice. Taken together, these results indicate that c-Myc regulates calpain activity through calpastatin; apoptosis induced by calpain inhibition is dependent on c-Myc, and calpastatin knockdown promotes transformation in c-Myc-negative cells.
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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 | 0.001 |
| 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".