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 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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".