Antiapoptotic effect of EGF on mouse hepatocytes associated with downregulation of proapoptotic Bid protein
Bibliographic record
Abstract
Growth factors have been shown to protect cells from a variety of apoptotic stimuli. In the liver, the Fas system is thought to be very important in the genesis of hepatocyte apoptosis. Others have already shown the importance of the phosphatidylinositol 3-kinase (PI3-kinase) pathway and of increased Bcl-xl expression in the antiapoptotic effect of growth factors on hepatocytes. We investigated the effect of EGF on Bid, a BH3-only member of the Bcl-2 family and a major player in the transduction of the Fas apoptotic signal. Hepatocyte apoptosis was induced in vitro with a purified anti-mouse Fas antibody. The effect of EGF on Bid protein expression was studied on those cultures. EGF dose dependently reduced the expression of Bid protein in primary mouse hepatocyte cultures independently of Fas stimulation. This decrease was not the result of the degradation of Bid into its active p15 fragment. Treating cells with a specific inhibitor of the EGF receptor autophosphorylation completely abolished the decrease in Bid expression afforded by EGF. Treatment with LY-294002, a PI3-kinase blocker, partly reverted the effect of EGF. When apoptosis was induced in Bid-deficient hepatocytes, EGF lost its capacity to protect cells against this type of cell death. These results show that EGF decreases the expression of Bid protein and suggest that the effect of EGF on Bid is one of the mechanisms of the antiapoptotic effect of EGF.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".