An executioner caspase regulates autophagy
Bibliographic record
Abstract
The relationships between autophagy and cell death are complex and still not well understood. To advance our understanding of the molecular connections between autophagy and apoptosis, we performed an RNAi-based screen of Drosophila melanogaster apoptosis-related genes for their ability to enhance or suppress starvation-induced autophagy. We discovered that six apoptosis-related genes, Dcp-1, hid, Bruce, buffy, debcl and p53 as well as Ras/Raf/MAPK signaling pathway components play a role in autophagy regulation in Drosophila cultured cells. Our study also provides the first in vivo evidence that the effector caspase Dcp-1 and IAP protein Bruce regulate both autophagy and starvation-induced cell death at two nutrient status checkpoints, germarium and mid-oogenesis, in the Drosophila ovary. Analysis of degenerating mid-stage egg chambers in DmAtg1 and DmAtg7 mutants reveal a reduction in TUNEL staining though DNA condensation appears unaffected. Based on these and previous findings, we propose here a putative molecular pathway that might regulate the sensitivity threshold of apoptotic and autophagic responses. We also discuss multiple interpretations of the Atg mutant egg chamber TUNEL phenotype that are consistent with a possible role for autophagy in either suppressing or enhancing the efficiency of cell degradation and/or promoting cell clearance associated with the death 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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".