Developmental expression analysis of thyroid hormone receptor isoforms reveals new insights into their essential functions in cardiac and skeletal muscles
Bibliographic record
Abstract
Nuclear thyroid hormone (TH) receptors (TR) play a critical role in mediating the diverse actions of TH in development, differentiation, and metabolism of most tissues, but the role of TR isoforms in muscle development and function is unclear. Therefore, we have undertaken a comprehensive expression analysis of TRalpha 1, TRbeta 1, TRbeta 2 (TH binding), and TRalpha 2 (non-TH binding) in functionally distinct porcine muscles during prenatal and postnatal development. Use of a novel and highly sensitive RNase protection assay revealed striking muscle-specific developmental profiles of all four TR isoform mRNAs in cardiac, longissimus, soleus, rhomboideus, and diaphragm. Distribution of TR isoforms varied markedly between muscles; TRalpha expression was considerably greater than TRbeta and there were significant differences in the ratios TRalpha 1:TRalpha 2, and TRbeta 1:TRbeta 2. Together with immunohistochemistry of myosin heavy chain isoforms and data on myogenesis and maturation of the TH axis, these findings provide new evidence that highlights central roles for 1) TRalpha isoforms in fetal myogenesis, 2) the ratio TRalpha 1:TRalpha 2 in determining cardiac and skeletal muscle phenotype and function; 3) TRbeta in maintaining a basal level of cellular response to TH throughout development and a specific maturational function around birth. These findings suggest that events disrupting normal developmental profiles of TR isoforms may impair optimal function of cardiac and skeletal muscles.
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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".