Degradation of Thyroid Hormone Receptor Beta 1: Existence of Stable and Unstable Forms
Bibliographic record
Abstract
BACKGROUND: The degradation of many nuclear receptors is controlled by ligand-binding and mediated by the ubiquitin-proteasome pathway. However, the mechanisms implicated in thyroid hormone receptor (TR) degradation remain unclear. Our objective was to define the kinetics, mechanisms, and sub-cellular fractions involved in TRs degradation. METHODS: We used pulse-chase analyses, time-course experiments carried out in presence of cycloheximide (to inhibit new protein synthesis), and biochemical fractionation with Western blot analyses to determine the kinetics of the degradation of the TRβ isoform, TRβ1, in transiently transfected QBI-HEK 293A cells. RESULTS: We observed that TRβ1 degradation is mediated by the proteasome pathway. Also, the kinetics of TRβ1 degradation is atypical due to the co-existence of more than one TRβ1 population, located in different cellular compartments and having different stability profiles. Moreover, TRβ1 degradation was unaffected by a mutation in its putative PEST motif, which confers turnover of other proteins. CONCLUSION: Our findings introduce novel evidence suggesting that stable and unstable forms of TRβ1, which might have distinct functions, co-exist in cells.
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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 | 0.001 | 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".