Intramolecular interactions between the AF3 domain and the C-terminus of the human progesterone receptor are mediated through two LXXLL motifs
Bibliographic record
Abstract
The human progesterone receptor (PR) exists in two major forms, PRA and PRB, which differentially regulate gene transcription in a cell- and promoter-specific manner. The molecular mechanisms underlying this differential transcriptional activity have been attributed to the presence of a unique AF3 domain within PRB that may result in the two isoforms adopting different protein conformations. We demonstrate here that in myometrial cells, PRB exhibits strong progesterone-dependent transcriptional activity that is dependent on the presence of two LXXLL motifs within the AF3 domain. In vitro and in vivo protein interaction assays indicate that these motifs mediate the direct interaction between the AF3 domain and C-PR in a progesterone-dependent manner. Mutation of either of the LXXLL motifs or deletion of the last 30 amino acids within the C-terminus disrupts this interaction and progesterone-dependent transcriptional activity of PRB. Members of the p160 family of co-activators (such as GRIP-1) also interact with C-PR through their LXXLL motifs. However, GRIP-1 does not compete with AF3 but rather acts to synergize these two transactivation domains. Our data suggest that a failure to form an appropriate AF3-C-terminus interaction results in an inability of co-activators to induce maximal PR-dependent transactivation. The absence of an AF3 domain within PRA may account for its inability to activate progesterone-responsive genes, as well as its actions as a dominant trans-repressor.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".