Role of EGF receptor tyrosine kinase activity in antiapoptotic effect of EGF on mouse hepatocytes
Bibliographic record
Abstract
The apoptotic Fas pathway is potentially involved in the pathogenesis of liver diseases. Growth factors, such as epidermal growth factor (EGF), can protect cells against apoptosis induced by a variety of stimuli, including Fas receptor stimulation. However, the underlying mechanisms of this protection have yet to be determined. We investigated the involvement of EGF receptor (EGFR) tyrosine kinase (TK) activity in the antiapoptotic effect of EGF on primary mouse hepatocyte cultures. Cells undergoing apoptosis after treatment with anti-Fas antibody were protected by EGF treatment. This protection was significantly but partially decreased when cells were treated with two specific inhibitors of the TK activity of EGFR. Evaluation of the efficacy of these compounds indicated that they were able to abolish EGFR autophosphorylation and postreceptor events such as activation of mitogen-activated protein kinases and the phosphatidylinositol 3'-kinase pathways as well as increases in Bcl-x(L) mRNA and protein levels. This leads us to postulate that EGF exerts its antiapoptotic action partially through the TK activity of EGFR. In addition, our results suggest that Bcl-x(L) protein upregulation caused by EGF is linked to the TK activity of its receptor.
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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) | 0.001 | 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".