Akt Is Activated in Response to an Apoptotic Signal
Bibliographic record
Abstract
Akt is a serine-threonine kinase known to exert antiapoptotic effects through several downstream targets. Akt is cleaved during mitochondrial-mediated apoptosis in a caspase-dependent manner. The reason for this is not clear, however, because Akt has not been demonstrated to be activated in response to mitochondrial apoptotic stimuli. Accordingly, we explored whether the well described mitochondrial apoptotic stimuli staurosporine (STS) and etoposide activate Akt and whether such activation impacts apoptosis. Both STS and etoposide activated Akt in NIH 3T3 cells, maximally at 8 and 2 h, respectively, preceding the onset of apoptosis and poly(ADP-ribose) polymerase cleavage. The overexpression of Akt delayed STS-induced apoptosis with an even more pronounced delay observed with overexpression of constitutively active Akt. Akt activation by proapoptotic stimuli lay upstream of mitochondria, because neither caspase inhibitors nor overexpression of Bcl-2 or Bcl-x(L) could prevent it. Activation depended on phosphatidylinositol 3-kinase activity, however. Conversely, inhibition of phosphatidylinositol 3-kinase with wortmannin sensitized cells to apoptosis initiated by STS. These data demonstrate that mitochondrial apoptotic stimuli also activate Akt and such activation modulates apoptosis in this setting.
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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) | 0.003 | 0.002 |
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".