Developmental Dependence on NurRE and EboxNeuro for Expression of Pituitary Proopiomelanocortin
Bibliographic record
Abstract
Cell-specific expression of the pituitary proopiomelanocortin (POMC) gene depends on the combinatorial action of a large number of DNA-binding transcription factors (TFs). These include general and cell-restricted factors, as well as factors that act as effectors of signaling pathways. We have previously defined in the distal POMC promoter a composite regulatory element that contains targets for basic helix-loop-helix TFs conferring cell specificity and for NGFI-B orphan nuclear receptors that are responsive to CRH signaling and to glucocorticoid negative feedback. These factors act on neighboring regulatory elements, the Ebox(Neuro) and NurRE, respectively. Currently, the Ebox(Neuro) is thought to be the target of NeuroD1 during fetal development, but this factor may not account for activity in the adult pituitary; it is also unknown whether the NurRE and NGFI-B-related factors are active before establishment of the hypothalamic-pituitary portal system. In order to assess the importance of these regulatory elements and their cognate TFs throughout pituitary organogenesis and in the adult, we have assessed the activity of mutant POMC promoters in transgenic mice throughout development. These experiments indicate that the Ebox(Neuro) and cognate basic helix-loop-helix factors are required throughout development and in the adult gland, beyond expression of NeuroD1. Similarly, the data reveal sustained importance of the NurRE and its cognate factors throughout pituitary development. These data contrast the sustained dependence throughout development on the same regulatory elements with the highly dynamic patterns of TF expression and the modulation of their activity in response to signaling pathways.
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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 | 0.000 |
| 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) | 0.000 | 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".