Abstract 1916 Eukaryotic cell death is mediated by arginyltransferase 1 in a mitochondrial-dependent pathway
Bibliographic record
Abstract
The regulation of cell death in eukaryotic cells plays a crucial role in regulating the stress response, and response to signals. Recent studies highlight the dependence of stress-induced cell death events on the activity of arginyltransferase1 (ATE1), an evolutionarily conserved enzyme that initiates protein degradation through a posttranslational modification known as arginylation. Despite the significance of ATE1 in this process, the precise mechanisms through which it fulfills this role remain largely elusive. In our investigation using budding yeast as a test model, we uncovered a noteworthy phenomenon: under oxidative stress, cytosolic ATE1 increases its localization into mitochondria and that preventing its mitochondrial localization prevents its associated cell death. Intriguingly, our study has also revealed that ATE1-mediated cell death operates independently of mitochondrial Electron Transport Chain (ETC) activity and the traditional caspase pathway. Instead, we have found that ATE1-mediated cell death is reliant on certain mitochondrial permeability pore components and the subsequent release of apoptosis-inducing factor. From these findings, we assert that ATE1 emerges as a novel apoptosis regulator, uniquely utilizing a specific mitochondrial pathway. This discovery opens new avenues for understanding and potentially manipulating apoptosis regulation for therapeutic purposes. This study is supported in part by NIGMS/NIH R01GM138557 and a University of Miami startup funding awarded to FZ.
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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 | 0.000 |
| 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".