PC12<sup>nnr5</sup>cells expressing TrkA receptors undergo morphological but not cholinergic phenotypic differentiation in response to nerve growth factor
Bibliographic record
Abstract
We investigated mechanisms underlying nerve growth factor-mediated morphological differentiation and expression of cholinergic neuronal phenotype. In PC12, but not PC12nnr5 cells, nerve growth factor induces neurite-like outgrowths and enhances cholinergic phenotype; stable expression of TrkA receptors in nnr5 cells (called B5P cells) restores morphological differentiation but not expression of choline acetyltransferase. Transfection with an AP-1 luciferase reporter gene revealed that PC12 but not B5P cells expressed nerve growth factor-induced functional AP-1 activity. RT-PCR analysis of nerve growth factor-mediated changes in AP-1 transcription factors showed rapid increases in c-fos and junB mRNA in PC12 and B5P cells, while increases in c-jun were small. Using DNA-protein gel shift assays we determined that nerve growth factor stimulates AP-1 binding in both PC12 and B5P cells, and identified c-Fos, FosB, Fra-1, Fra-2, c-Jun, JunB and JunD in AP-1 complexes. In Fos/Jun functional luciferase reporter assays, nerve growth factor stimulated phosphorylation of c-Fos in both PC12 and B5P cells, but phosphorylation of c-Jun only in PC12, and not in B5P cells. These data indicate that mechanisms relating to AP-1 transcription factor complexes underlying nerve growth factor-mediated enhancement of cholinergic gene expression may differ from those required for morphological differentiation.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".