Specific binding of [<sup>3</sup>H]ketanserin to hypothalamus membranes of juvenile rainbow trout, <I> Oncorhynchus mykiss</I>?
Bibliographic record
Abstract
This study examines the existence and pharmacological specificity of [3H]ketanserin binding in hypothalamus of juvenile rainbow trout. Hypothalamic membranes were incubated with [3H]ketanserin (selective 5HT2 antagonist) under several experimental conditions; reactions were terminated by filtration and bound radioactivity was counted by liquid scintillation spectroscopy. Tissue dilution experiments revealed that specific [3H]ketanserin binding (B(sp)) was tissue dependent; 1 hypothalamus equivalent per tube (1100 +/- 115 cpm/mg protein) was subsequently used throughout the rest of this study. In association experiments, B(sp) increased progressively with time, achieved equilibrium binding levels (1192 +/- 120 cpm/mg protein) within 80 min, and remained stable for at least 60 min thereafter; k(obs), and k(+1) were 0.032 and 0.048 min(-1) x nM(-1), respectively. In dissociation experiments, B(sp) completely dissociated within 20 min following addition of excess ketanserin; k(-1) and t1/2 were 0.0803 min(-1) and 8.7 min, respectively. B(sp) was saturable (2500 +/- 256 cpm/mg protein); Scatchard-calculated values for the equilibrium dissociation constant (K(D)) and capacity (Bmax) were 0.48 nM, and 125 fmol/mg protein, respectively. B(sp) was differentially displaced by structurally related competitors, with a rank order of potency of ketanserin = mianserin > ritanserin > serotonin (5HT) = spiperone >> methiothepin mesylate > metergoline = DOI ((+/-)-2-5-dimethoxy-4-iodoamphetamine hyrobromide) > 2-methyl-5HT > alpha-methyl-5HT >>>> 5HIAA (5-hydroxyindole acetic acid) = reserpine. These findings provide pharmacological evidence for the presence of a 5HT2-like receptor subtype in the trout hypothalamus.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".