The AF-1 and AF-2 Domains of RARγ2 and RXRα Cooperate for Triggering the Transactivation and the Degradation of RARγ2/RXRα Heterodimers
Bibliographic record
Abstract
In eukaryotic cells, liganded RAR gamma 2/RXR alpha heterodimers activate the transcription of retinoic acid (RA) target genes and then are degraded through the ubiquitin-proteasome pathway. In this study, we dissected the role of the RAR gamma 2 and RXR alpha partners as well as of their respective AF-1 and AF-2 domains in the processes of transactivation and degradation. RAR gamma 2 is the "engine" initiating transcription and its own degradation subsequent to ligand binding. Integrity of its AF-2 domain and phosphorylation of its AF-1 domain are required for both the degradation and the transactivation of the receptor. Deletion of the whole AF-1 domain does not impair these processes but shifts the receptor toward other proteolytic pathways through RXR alpha. In contrast, RXR alpha plays only a modulatory role, cooperating with RAR gamma 2 through its AF-2 domain and its phosphorylated AF-1 domain in both the transcription activity and the degradation of the RAR gamma 2/RXR alpha heterodimers. Our results underline that the AF-1 and AF-2 domains of each heterodimer partner cooperate with one other and that this cooperation is relevant for both the transcription and degradation processes.
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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".