Tpit-Independent Function of NeuroD1(BETA2) in Pituitary Corticotroph Differentiation
Bibliographic record
Abstract
NeuroD1(BETA2) and Tpit are cell-specific activators of pituitary proopiomelanocortin (POMC) gene transcription. Expression of both factors slightly precedes that of POMC at embryonic d 12.5 of mouse pituitary development. We now report that NeuroD1(BETA2) is required for early corticotroph differentiation. In agreement with the transcriptional synergism observed between Tpit and basic helix-loop-helix dimers containing NeuroD1(BETA2), POMC expression is delayed in NeuroD1-deficient mice. However, this differentiation defect does not reflect a change of corticotroph commitment as revealed by Tpit expression. The delay of corticotroph terminal differentiation is transient and coincides with the developmental window of NeuroD1 expression in corticotrophs. In contrast to their requirement in other NeuroD1-expressing cells, the neurogenin genes do not appear to be necessary for corticotroph differentiation. Taken together with a similar requirement of Tpit for corticotroph differentiation but not for commitment, the present data indicate that the POMC promoter is a point of convergence for independent corticotroph differentiating signals.
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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".