SnoN Is a Cell Type-specific Mediator of Transforming Growth Factor-β Responses
Bibliographic record
Abstract
The transforming growth factor-beta (TGF-beta) family of secreted proteins have pleiotropic functions that are critical to normal development and homeostasis. However, the intracellular mechanisms by which the TGF-beta proteins elicit cellular responses remain incompletely understood. The Smad proteins provide a major means for the propagation of the TGF-beta signal from the cell surface to the nucleus, where the Smad proteins regulate gene expression leading to TGF-beta-dependent cellular responses including the inhibition of cell proliferation. Recent studies have suggested that a nuclear Smad-interacting protein termed SnoN, when overexpressed in cells, suppresses TGF-beta-induced Smad signaling and TGF-beta inhibition of cell proliferation. However, the physiologic function of endogenous SnoN in TGF-beta-mediated biological responses remained to be elucidated. Here, we determined the effect of genetic knock-down of SnoN by RNA interference on TGF-beta responses in mammalian cells. Unexpectedly, we found that SnoN knock-down specifically inhibited TGF-beta-induced transcription in the lung epithelial cell line Mv1Lu but not in HeLa or HaCaT cells. SnoN knock-down was also found to block TGF-beta-dependent cell cycle arrest in Mv1Lu cells. Collectively, these data indicate that rather than suppressing TGF-beta-induced responses, endogenous SnoN acts as a positive mediator of TGF-beta-induced transcription and cell cycle arrest in lung epithelial cells. Our study also shows that SnoN couples the TGF-beta signal to gene expression in a cell-specific manner.
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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".