Inhibitors of nitric oxide synthase attenuate nerve growth factor‐mediated increases in choline acetyltransferase expression in PC12 cells
Bibliographic record
Abstract
NGF can regulate nitric oxide synthase (NOS) expression and nitric oxide (NO) can modulate NGF-mediated neurotrophic responses. To investigate the role of NO in NGF-activated expression of cholinergic phenotype, PC12 cells were treated with either the nonselective NOS inhibitor L-NAME (N (omega)-nitro-L-arginine methylester) or the inducible NOS selective inhibitor MIU (s-methylisothiourea), and the effect on NGF-stimulated ChAT mRNA levels and ChAT specific activity was determined. NGF increased steady-state levels of mRNA and protein for both inducible and constitutive isozymes of NOS in PC12 cells, and led to enhanced NOS activity and NO production. MIU and, to a lesser extent, L-NAME blocked neurite outgrowth in nerve growth factor (NGF)-treated PC12 cells. Both L-NAME and MIU attenuated NGF-mediated increases in choline transferase (ChAT)-specific activity and prevented the increase in expression of ChAT mRNA normally produced by NGF treatment of PC12 cells. The present study indicates that NO may be involved in the modulation of signal transduction pathways by which NGF leads to increased ChAT gene expression in PC12 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) | 0.001 | 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 | 0.000 |
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 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".