Characterization and functional divergence of the α<sub>1</sub>-adrenoceptor gene family: insights from rainbow trout (<i>Oncorhynchus mykiss</i>)
Why this work is in the frame
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Bibliographic record
Abstract
Presently, three alpha(1)-adrenoceptor (AR) types are recognized in vertebrates: alpha(1A)-, alpha(1B)-, and alpha(1D)-ARs. These alpha(1)-subtypes have distinct pharmacology and molecular profiles, play crucial roles in metabolic and vascular control, and are the targets for numerous pharmaceuticals, especially those affecting blood pressure and vascular resistance. To better understand the functional divergence within the alpha(1)-AR gene family, we sequenced these alpha(1)-AR paralogs in the rainbow trout and performed an extensive phylogenetic analysis. We show that these AR genes evolved by duplication events just before the origin of the jawed vertebrates. Our computational analyses suggest that the differences between the three alpha(1)-AR subtypes may affect their tissue specificity, ligand specificity, and possibly signal transduction processes and desensitization. We also show that, within each subtype, differences exist between fish and mammalian receptors, both at the transcriptional and at the physiological level. These differences, however, suggest that the role of alpha(1)-ARs in fish is more complex than previously thought. Our integrated analysis of the alpha(1)-AR gene family suggests that these receptors evolved these distinct features very early within vertebrates.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it