Epidermal Growth Factor-induced DNA Synthesis
Bibliographic record
Abstract
We have previously demonstrated that phosphatidylinositol 3-kinase (PI3-kinase) is necessary and sufficient to account for epidermal growth factor (EGF)-induced mitogenesis in rat primary hepatocytes. A cytosolic Gab2-containing complex accounts for >80% of the total EGF-induced PI3-kinase activity (Kong, M., Mounier, C., Wu, J., and Posner, B. I. (2000) J. Biol. Chem. 275, 36035-36042), suggesting a key role for Gab2 in EGF-induced mitogenesis. Here, we demonstrate that PP1, a selective inhibitor of Src family kinases, blocks the EGF-induced Gab2 tyrosine phosphorylation without inhibiting EGF-induced phosphorylation of the EGF receptor, ErbB3, or Shc. We also show that Gab2 phosphorylation is increased in Csk knockout cells in which Src family kinases are constitutively activated. Furthermore, PP1 blocks Gab2-associated downstream events including EGF-induced PI3-kinase activation, Akt phosphorylation, and DNA synthesis. We demonstrate that Gab2 and Src are constitutively associated. Since this association involves the proline-rich sequences of Gab2, it probably involves the Src homology 3 domain of Src kinase. Mutation of the proline-rich sequences in Gab2 prevented EGF-induced Gab2 phosphorylation, PI3-kinase/Akt activation, and DNA synthesis, demonstrating that Gab2 phosphorylation is critical for EGF-induced mitogenesis and is not complemented by ErbB3 or Shc phosphorylation. We also found that overexpression of a Gab2 mutant lacking SHP2 binding sites increased EGF-induced Gab2 phosphorylation and the activation of PI3-kinase but blocked activation of MAPK. In addition, we demonstrated that the Src-induced response was down-regulated by Gab2-associated SHP2. In summary, our results have defined the role for Src activation in EGF-induced hepatic mitogenesis through the phosphorylation of Gab2 and the activation of the PI3-kinase cascade.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 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) | 0.009 | 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".