Overexpression of the signaling adapter FRS2 reconstitutes the cell cycle deficit of a nerve growth factor non‐responsive TrkA receptor mutant
Bibliographic record
Abstract
We have characterized the cell cycle deficit of a novel TrkA receptor mutant (TrkAS3) that fails to support nerve growth factor (NGF)-dependent cell cycle arrest and neurite outgrowth. TrkAS3 receptors fail to support an NGF-dependent increase in the expression of cyclin D1 and the cell cycle inhibitor, p21(Waf1/Cip1), two important regulators of G(1) /S transition, and do not down-regulate expression of the G(2) /M phase marker, cdc2/cdk1, or the S phase marker, proliferating cell nuclear antigen. Moreover, NGF-activated TrkAS3 receptors do not down-regulate cyclin-dependent kinase 4 phosphorylation of the retinoblastoma protein, essential for G(1) arrest, in comparison to NGF-activated wild-type TrkA. Collectively these data indicate that TrkAS3 receptors fail to support NGF-dependent G(1) arrest. Interestingly, ectopic expression of regulators of G(1) /S arrest, such as cyclin D1 or inhibitors of cell cycle (p21(Waf1/Cip1), p16(INK4A) ), or the fibroblast growth factor (FGF) receptor substrate-2 (FRS2) in cells expressing TrkAS3 reconstitutes NGF-dependent neurite outgrowth. Collectively, these data suggest a model in which NGF-stimulated TrkA-dependent activation of FRS2 supports neurite outgrowth through a mechanism that likely involves the induction of p21(Waf1/Cip1) expression and the arrest of cells at G(1) /S.
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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 | 0.001 |
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".