Tyr<sup>740</sup>and Tyr<sup>751</sup>residues of platelet-derived growth factor beta receptor are responsible for the redox regulation of phosphatase and tensin homolog in the cells stimulated with platelet-derived growth factor
Bibliographic record
Abstract
Exposure of cells to hydrogen peroxide or platelet-derived growth factor (PDGF) induced Akt phosphorylation and oxidation of phosphatase and tensin homolog (PTEN). The Cys124 and Cys71 residues of PTEN were critical for the formation of a disulfide bond and the intermediate glutathionylation in the process of reduction of the disulfide bond. To determine which specific tyrosine residues of the PDGF beta receptor (PDGFβR) is involved in PDGF-induced PTEN oxidation and Akt phosphorylation, we investigated a kinase activity-deficient mutant and PDGFβR mutants where the tyrosine residues in the binding site for phosphoinositide 3-kinase (PI3K), GTPase-activating protein of Ras, Src homology 2 domain containing protein-tyrosine phosphatase-2, and phospholipase C-1 were replaced by Phe. Both PTEN oxidation and Akt phosphorylation did not occur in response to PDGF in the kinase-deficient mutant and in the PDGFβR mutant with a mutation in the PI3K binding site (Tyr740 and Tyr751). Thus, the kinase activity and the constituent Tyr740 and Tyr751 residues of PDGFβR in the cells stimulated with PDGF are responsible for the oxidation of PTEN and the Akt phosphorylation.
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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) | 0.002 | 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".