Molecular cloning, characterization and brain mapping of the melanocortin 5 receptor in the goldfish
Bibliographic record
Abstract
The melanocortin 5 receptor (MC5R) is activated by melanocyte-stimulating hormones (MSHs) and has a widespread tissue distribution, while its detailed central expression pattern and brain functions are fairly unknown. We report cloning, pharmacological characterization, tissue distribution and detailed brain mapping of melanocortin 5 receptor in goldfish (gMC5R). The goldfish orthologue protein is 69% identical to human MC5R and is conserved in important functional domains. The gMC5R showed similar potency to alpha-, beta- and gamma-MSH peptides in radioligand binding as the mammalian orthologues, while MTII and HS024 were both agonists at this receptor. The gMC5R-mRNA was found in the peripheral tissues including kidney, spleen, skin and retina, with low expression levels in the intestine, fat, muscle, gill, pituitary and ovary. In situ hybridization studies demonstrated that gMC5R transcripts are widely distributed in the goldfish brain. The gMC5R expression was found in ventral telencephalon, pre-optic area, dorsal and ventral thalamus, infundibular hypothalamus, posterior tuberculum, tectum and tegmentum mesencephali, reticular formation, vagal and facial lobes and spinal cord. The cloning and characterization of this receptor provides an important tool to elucidate its participation in neuroendocrine and behavioural control.
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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) | 0.001 | 0.001 |
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".