Cross-talk between glucocorticoid and retinoic acid signals involving glucocorticoid receptor interaction with the homoeodomain protein Pbx1
Bibliographic record
Abstract
Glucocorticoid (GC) signalling influences the response of the cell to a number of other signals via a mechanism referred to as 'cross-talk'. This cross-talk may act at several levels, including an interaction between the transcription factors involved in the signalling pathways. In the present paper, we demonstrate a novel functional interaction between GC and all- trans -retinoic acid (RA) signalling. We show that, in P19 embryonal carcinoma cells, GCs potentiate RA-induced expression of the murine Hoxb -1 gene through an autoregulatory element, b1-ARE, recognized by the Pbx1 and HOXB1 homoeodomain proteins. The synergistic effect of GC did not involve GC receptor (GR) binding to the b1-ARE, and the GC-GR complex alone was unable to activate transcription via the element. Furthermore, the ability of the GR to transactivate was not required, excluding expression of a GC-induced protein as the mechanism for the GC/RA synergy. Additional transfection experiments showed that the Pbx1/HOXB1 heterodimer was the target for the GC effect. Furthermore, functional dissection of the GR demonstrated that the DNA-binding domain (DBD) of the GR was required for the synergy. A physical interaction between the GR and Pbx1 proteins was demonstrated in vivo by co-immunoprecipitation experiments. These results are compatible with a model in which the GC/RA synergy is mediated by a direct interaction between the GR and Pbx1. On the basis of the ubiquitous expression of both GR and Pbx1, a number of genes regulated by Pbx are likely to be important targets for GC-mediated 'cross-talk'.
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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 | 0.001 | 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) | 0.000 | 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".