Establishing a Blueprint for CED-3-dependent Killing through Identification of Multiple Substrates for This Protease
Bibliographic record
Abstract
Genetic studies have established that the cysteine protease CED-3 plays a central role in coordinating programmed cell death in Caenorhabditis elegans. However, it remains unclear how CED-3 activation results in cell death because few substrates for this protease have been described. We have used a global proteomics approach to seek substrates for CED-3 and have identified 22 worm proteins that undergo CED-3-dependent proteolysis. Proteins that were found to be substrates for CED-3 included the cytoskeleton proteins actin, myosin light chain, and tubulin, as well as proteins involved in ATP synthesis, cellular metabolism, and chaperone function. We estimate that approximately 3% of the C. elegans proteome is susceptible to CED-3-dependent proteolysis. Notably, the endoplasmic reticulum chaperone calreticulin, which has been implicated in the recognition of apoptotic cells by phagocytes, was cleaved by CED-3 and was also cleaved by human caspases during apoptosis. Inhibitors of caspase activity blocked the appearance of calreticulin on the surface of apoptotic cells, suggesting a mechanism for the surface display of calreticulin during apoptosis. Further analysis of these substrates is likely to yield important insights into the mechanism of killing by CED-3 and its human caspase counterparts.
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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 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".