Proto-oncogene ras GTPase-linked induction of glutathione-S-transferase by growth factors in PC12 cells.
Bibliographic record
Abstract
This report provides evidence linking activation of Ras GTPase by growth factors and induction of glutathione-S-transferase isozymes in PC12 cells. Ras GTPase was activated by EGF, NGF, insulin and phorbolester in PC12 cells. Activation of Ras GTPase was found to be associated with induction of the expression of GST mu and pi isoenzymes while there was no detectable induction of GST alpha expression. GST pi was found to be induced by all the Ras GTPase activating agents tested while activation of Ras by phorbolester and insulin induced expression of GST mu only. These results suggest a role of Ras, at least in part, in controlling the expression of GST and that there might be independent signalling pathways for the expression of different GST isoenzymes. GST activity was found to be very high (4-fold) in the lysate obtained from retinoic acid treated PC12 cells when compared with untreated cells. Induction of GST expression was found to be initiated within 30 min of retinoic acid treatment in PC12 cells reaching a maximum level at 4 h. However, immunoblot analysis showed that retinoic acid (RA), unlike mitogens/growth factors, weakly induced the expression of GST pi but not the expression of alpha, mu and microsomal GSTs. Overxpression of inhibitory polypeptides that block signals generated from Ras and Cdc42 was found to reverse the retinoic acid activation-dependent induction of GST expression in PC12 cells. These results provide evidence for the first time suggesting a novel role of Ras GTPase in the regulation of GST expression which might have a significant implication in developing drug resistance and/or growth of cancer cells.
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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 | 0.001 |
| 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) | 0.002 | 0.001 |
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".