Tumor Necrosis Factor-related Apoptosis-inducing Ligand-induced Death-inducing Signaling Complex and Its Modulation by c-FLIP and PED/PEA-15 in Glioma Cells
Bibliographic record
Abstract
Tumor necrosis factor-related apoptosis-inducing ligand (TRAIL) can trigger apoptosis in some tumor cells but not other tumor cells. To explore the signal transduction events in TRAIL-triggered apoptosis and its modulation in nontransfected tumor cells, we analyzed TRAIL-induced death-inducing signaling complex (DISC) in TRAIL-sensitive and -resistant glioma cells. Caspase-8 and caspase-10 were recruited to the DISC, where they were proteolytically activated to initiate apoptosis in TRAIL-sensitive glioma cells. Caspase-8 and caspase-10 were also recruited to the DISC in TRAIL-resistant cells, but their further activation was inhibited by two antiapoptotic proteins termed cellular Fas-associated death domain-like interleukin-1beta-converting enzyme-inhibitory protein (c-FLIP) and phosphoprotein enriched in diabetes/phosphoprotein enriched in astrocytes-15kDa (PED/PEA-15). Both long and short forms of c-FLIP were recruited to the DISC, where the long form c-FLIP was cleaved to produce intermediate fragments. Of the three isoforms of PED/PEA-15 proteins, only the doubly phosphorylated form was expressed and recruited to the DISC in TRAIL-resistant cells, indicating that the phosphorylation status of PED/PEA-15 determines its recruitment in the cells. Treatment with calcium/calmodulin-dependent protein kinase inhibitor rescued TRAIL sensitivity in TRAIL-resistant cells, providing a potential new approach to sensitize the cells to TRAIL-induced apoptosis.
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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) | 0.000 | 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".