The Selective Increase in Caspase-3 Expression in Effector but Not Memory T Cells Allows Susceptibility to Apoptosis
Bibliographic record
Abstract
Caspases play a central role in T lymphocyte activation and death. We have demonstrated previously that caspase-3, an effector molecule for activation-induced cell death (AICD), is processed following T cell activation in the absence of apoptosis. We report in this study that caspase-3 mRNA levels were selectively increased in peripheral T cells, following Ag receptor-mediated activation. The up-regulation of caspase-3 mRNA was confined to cells in the early phases of the cell cycle (G0/G1) and was independent of IL-2 signaling. This increase led to the renewal of procaspase-3 as evidenced by a 6-fold up-regulation of the zymogen in nonapoptotic stimulated T cells. The increase of mRNA levels and of both the zymogen and the cleaved forms of caspase-3 was observed in in vivo stimulated Ag-specific effector, but not memory T cells, correlating with the enhanced susceptibility of effector T cells to AICD. Furthermore, we confirm that caspase-3 levels directly influence the sensitivity of activated T cells to apoptosis, as shown using T lymphocytes isolated from caspase-3 heterozygous and knockout mice. These findings indicate that the selective up-regulation of caspase-3 transcription is required to maintain the cytoplasmic levels of this protease, which control AICD and T cell homeostasis.
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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 | 0.000 |
| 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".