Developmental Changes in Insulin‐like Growth Factor I Receptor Gene Expression in the Mouse Mammary Gland
Bibliographic record
Abstract
The insulin-like growth factor I receptor (IGF-IR), which mediates the mitogenic action of IGF-I, has been shown to play an essential role in normal growth and development. However, the precise role of IGF-IR in the growth and differentiation of the mammary gland has not been elucidated. This study examines the profile of the IGF-IR gene and protein expression during normal postnatal mammary gland development in order to gain further insight into the role of the IGF-I/IGF-IR during mammary gland morphogenesis. Gene and protein expression were examined in developing mouse mammary glands (virgin, pregnant, lactating, involuting) by real time PCR analysis and Western blotting. Both IGF-IR gene and protein expression levels were high during early pregnancy. Interestingly, the level of gene expression was significantly down-regulated during late pregnancy (5.4 fold) and lactation (9-13 fold) and significantly up-regulated (3.9 fold) during late involution, to the level observed in the virgin mammary gland. By in situ hybridization, the IGF-IR transcripts were localized to the proliferating ductal epithelium of the mammary glands of virgin mice and to the differentiating ductal and alveolar epithelium of the mammary glands during pregnancy and lactation. In the involuting gland, the transcripts were localized to the regressing ductal epithelium. These data are direct evidence that IGF-IR expression is important for alveolar cell proliferation and suggest that the progression of involution may require the down-regulation of IGF-IR gene expression. Altogether, these results demonstrate that a developmental IGF-IR gene expression pattern exists in the mouse mammary gland and that increases in gene expression at specific phases of development may reflect an important role for IGF-I/IGF-IR at those phases of development.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".