Stage-Sensitive Blockade of Pituitary Somatomammotrope Development by Targeted Expression of a Dominant Negative Epidermal Growth Factor Receptor in Transgenic Mice
Bibliographic record
Abstract
The epidermal growth factor receptor (EGFR) and its ligands EGF and transforming growth factor-alpha (TGF alpha) are expressed in the anterior pituitary, and overexpression of TGF alpha in the lactotrope cells of the pituitary gland in transgenic mice results in lactotrope hyperplasia and adenomata, suggesting a role for EGFR signaling in pituitary cell proliferation. To address the role of EGFR signaling in pituitary development in vivo, we blocked EGFR signaling in transgenic mice using the dominant negative properties of a mutant EGFR lacking an intracellular protein kinase domain (EGFR-tr). We directed EGFR-tr expression to GH- and PRL- producing cells using GH and PRL promoters, and a tetracycline-inducible gene expression system, to allow temporal control of gene expression. EGFR-tr overexpression in GH-producing cells during embryogenesis resulted in dwarf mice with pituitary hypoplasia. Both somatotrope and lactotrope development were blocked. However, when EGFR-tr overexpression was delayed to the postnatal period either by directing its expression with the PRL promoter or by delaying the onset of induction with tetracycline in the GH cells, no specific phenotype was observed. Lactotrope hyperplasia during pregnancy also occurred normally in the PRL-EGFR-tr mice. These data suggest that EGFR signaling is required for the differentiation and/or maintenance of somatomammotropes early in pituitary organogenesis but not later in life. (Molecular Endocrinology 15: 600-613, 2001)
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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) | 0.001 | 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".