Caspase-mediated cleavage of miRNA processing proteins Drosha, DGCR8, Dicer, and TRBP2 in heat-shocked cells and its inhibition by HSP70 overexpression
Bibliographic record
Abstract
Cells respond to stress through adaptive mechanisms that limit cellular damage and prevent cell death. MicroRNAs act as regulators of stress responses and stress can impact the functioning of miRNA biogenesis pathways. We were interested in the effect that severe proteotoxic stress capable of inducing apoptosis may have on miRNA biogenesis and the impact of the molecular chaperone protein HSP70 under these conditions. We found that the miRNA processing enzymes Drosha and Dicer and their accessory proteins DGCR8 and TRBP2 are cleaved by caspases in apoptotic cells. Overexpression of HSP70 prevented caspase activation and the degradation of these processing proteins. Caspase cleavage of TRBP2 was mapped to amino acid 234 which separates the two dsRNA-binding domains from the C-terminal Dicer interacting domain. Overexpression of TRBP2 was found to increase miRNA maturation, while expression of either of the fragments generated by caspase cleavage impaired maturation. These results indicate that inactivation of miRNA biogenesis is a critical feature of apoptosis and that cleavage of TRBP2, rather than simply a loss of function, serves to create positive acting inhibitors of pre-miRNA maturation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.002 | 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".