Nitric oxide donor stimulated increase of cyclic GMP in the goldfish retina
Bibliographic record
Abstract
Nitric oxide (NO) activates soluble guanylyl cyclase (sGC) and the resulting increase in cyclic guanosine monophosphate (cGMP) is an important intracellular signalling pathway in the vertebrate retina. Immunocytochemical detection of cGMP following exposure to NO donors has proven an effective method of identifying cells that express sGC. While such an approach has proven useful for the study of several vertebrate retinas, it has not been applied to the well-characterized teleost retina. Therefore, in the present study, we have applied this approach to the retina of the goldfish (Carassius auratus). In the presence of the phosphodiesterase (PDE) inhibitor 3-isobutyl-1-methylxanthine (IBMX), incubation of goldfish eyecups in Ringer's solution containing (+/-)-S-nitroso-N-acetylpenicillamine (SNAP) increased cGMP-like immunoreactivity (cG-ir) in bipolar, horizontal, amacrine, and ganglion cells and in ganglion cell axons and optic nerve. Weak labeling was observed in horizontal cells but no change in cG-ir was noted within photoreceptors. The NO donor-stimulated increases of cG-ir in horizontal, bipolar, amacrine, and ganglion cells are consistent with known physiological effects of NO on these neurons. The physiological significance of NO action at the level of optic nerve is not known. The lack of an effect of SNAP on cG-ir in photoreceptors was unexpected, as there are known physiological actions of NO, mediated by cGMP, on these neurons. Although this may be due to insufficient sensitivity of immunolabeling, this result may indicate a difference between isoforms of sGC or cGMP PDE in these neurons, compared to neurons where exogenous NO increased cG-ir.
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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 | 0.000 |
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".