Smad Signaling Antagonizes STAT5-mediated Gene Transcription and Mammary Epithelial Cell Differentiation
Bibliographic record
Abstract
Both the transforming growth factor-beta (TGFbeta)/Smad and the prolactin/JAK/STAT pathway are critical to the proper development, maintenance, and function of the mammary epithelial tissue. Interestingly, opposing physiological effects between these two signaling pathways are prominent in the regulation of mammary gland development. However, the exact nature of the biological network existing between the Smad and STAT signal transduction pathways has remained elusive. We identified a novel regulatory cross-talk mechanism by which TGFbeta-induced Smad signaling acts to antagonize prolactin-mediated JAK/STAT signaling and expression of target genes. Furthermore, we found activin, another member of the TGFbeta family, to also efficiently block STAT5 signaling and beta-casein expression in mammary epithelial cells. Our results indicate that ligand-induced activation of Smad2, -3, and -4 by activin and TGFbeta leads to a direct inhibition of STAT5 transactivation and STAT5-mediated transcription of the downstream target genes, beta-casein and cyclin D1, thereby blocking vital processes for mammary gland growth and differentiation. Finally, we unveiled the mechanism by which these two signaling cascades antagonize their effects, and we found that activated Smads inhibit STAT5 association with its co-activator CREB-binding protein, thus blocking STAT5 transactivation of its target genes and leading to inhibition of mammary gland differentiation and lactation.
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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".