Thyroid hormone accelerates opsin expression during early photoreceptor differentiation and induces opsin switching in differentiated TRα‐expressing cones of the salmonid retina
Bibliographic record
Abstract
Thyroid hormone and its receptors (TRs) regulate photoreceptor differentiation and visual pigment protein (opsin) expression in the retinas of several vertebrates, including rodents and fish. In some of these animals, opsin expression can arise through switches within differentiated cone photoreceptors. In salmonid fishes, single cones express ultraviolet (SWS1) opsin during embryonic development and switch to blue (SWS2) opsin as the fishes grow. It is unknown whether thyroid hormone regulates opsin expression during early cone differentiation and acts through TRs to induce opsin switches in differentiated cones of the salmonid retina. Using in situ hybridization, we characterized the spatiotemporal dynamics of opsin expression and switching in embryos treated with exogenous thyroid hormone or propylthiouracil (PTU), a pharmacological inhibitor of thyroid hormone synthesis. We combined immunohistochemistry with in situ hybridization to map TRα expression with respect to cones undergoing the opsin switch in older juvenile fish. Thyroid hormone accelerated opsin expression in differentiating cones and induced the opsin switch in differentiated single cones, whereas PTU repressed the opsin switch. TRα was not detected in differentiating photoreceptors as opsin expression initiated, but was later expressed in differentiated single cones before the onset of the opsin switch. TRα expression exhibited a dynamic dorsoventral distribution that paralleled the progression of the opsin switch. Together, our results show that thyroid hormone is required for opsin switching in the retina of salmonid fishes and suggest that TRα may be involved in regulating this phenomenon.
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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 | 0.000 |
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".