Heterodimerization of ecdysone receptor and ultraspiracle on symmetric and asymmetric response elements
Bibliographic record
Abstract
Heterodimerization of nuclear receptors is facilitated by the interaction of two dimerization interfaces: one spanning the DNA-binding (C domain) region and the adjacent hinge (D domain) region, and the other in the ligand-binding (E domain) region. Ultraspiracle (USP) heterodimerizes with ecdysone receptor (EcR) and this complex participates in ecdysone signal transduction. The natural ecdysone response elements (EcREs) discovered so far are asymmetric elements composed of either imperfect palindromes or direct repeats. However, gel mobility shift assays have shown that both symmetric (perfect palindromes) and asymmetric (imperfect palindromes and direct repeats) elements can bind to the EcR/USP complex. Therefore, we analyzed EcR/USP domains involved in heterodimerization on different types of response elements (RE). Gel shift assays using full-length and truncated EcR and USP proteins showed that heterodimerization of these two proteins in the presence of asymmetric RE (DR4 and the natural EcRE hsp27) requires both dimerization interfaces present in CD and E domains of both proteins. In contrast, the dimerization interface present in the E domain of either EcR or USP was not essential for heterodimerization on symmetric RE such as PAL1 or IR1. We conclude that the use of heterodimerization interfaces present in CD and E domains of EcR/USP depends on the nature of response elements they bind to.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".