TCF and Groucho-Related Genes Influence Pituitary Growth and Development
Bibliographic record
Abstract
Mutations in the prophet of PIT1 gene (PROP1) are the most common cause of multiple pituitary hormone deficiency in humans; however, the mechanism of PROP1 action is not well understood. We report that Prop1 is essential for dorsally restricted expression of a Groucho-related gene, transducin-like enhancer of split 3 (Tle3), which encodes a transcriptional corepressor. Deficiency of a related gene, amino terminal enhancer of split (Aes), causes pituitary anomalies and growth insufficiency. TLE3 and AES have been shown to interact with TCF/LEF (transcripiton factors of the T cell-specific and lymphoid enhancer specific group) family members in cell culture systems. In the absence of TCF4 (Tcf7L2), Prop1 levels are elevated, pituitary hyperplasia ensues and palate closure is abnormal. Thus, we demonstrate that Tcf4 and Aes influence pituitary growth and development, and place Tcf4 and Tle3 in the genetic hierarchy with Prop1.
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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) | 0.001 | 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) | 0.002 | 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 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".