Inhibition of TGF? signaling potentiates the FGF-2-induced stimulation of cardiomyocyte DNA synthesis
Bibliographic record
Abstract
OBJECTIVE: Added transforming growth factor beta (TGFbeta) inhibits the proliferation of immature cardiomyocytes. We have now examined the hypothesis that suppression of endogenous TGFbeta signaling will boost the proliferative response (DNA synthesis) of cardiac myocytes to serum and/or to the mitogenic factor fibroblast growth factor-2 (FGF-2). METHODS AND RESULTS: Overexpression of a kinase-deficient TGFbeta type II receptor (TGFbetaRIIDeltaKD) resulted in a 2.8-fold increase in cardiomyocyte DNA synthesis in serum-rich cultures, an effect requiring active FGFR-1 since it was not observed in the presence of excess kinase-deficient FGFR-1. This finding suggested that endogenous TGFbeta-TGFbetaRII suppressed endogenous FGFR-1-mediated signals that stimulate or are permissive for DNA synthesis. TGFbeta had no effect, however, on the FGF-2-induced acute stimulation of extracellular signal regulated kinase1/2. FGF-2, added in the absence or presence of TGFbeta inhibition, elicited a 3- or a 13-fold stimulation of DNA synthesis, respectively, pointing to a synergistic effect. CONCLUSION: Inhibition of TGFbetaRII-transduced signaling upregulates the proliferative response of cardiomyocytes to serum, and greatly potentiates the stimulatory effect of FGF-2. A combinatorial strategy including activation of FGF-2 and inhibition of TGFbeta-triggered signal transduction may be required for maximal stimulation of immature cardiomyocyte DNA synthesis.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| 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".