Cooperative signaling by TGF-β1 and WNT-11 drives sm-α-actin expression in smooth muscle via Rho kinase-actin-MRTF-A signaling
Bibliographic record
Abstract
Airway smooth muscle (ASM) remodeling is a key feature in asthma and includes changes in smooth muscle-specific gene and protein expression. Despite this being a major contributor to asthma pathobiology, our understanding of the mechanisms governing ASM remodeling remains poor. Here, we studied the functional interaction between WNT-11 and TGF-β1 in ASM cells. We demonstrate that WNT-11 is preferentially expressed in contractile myocytes and is strongly upregulated following TGF-β1-induced myocyte maturation. Knock-down of WNT-11 attenuated TGF-β1-induced smooth muscle (sm)-α-actin expression in ASM cells. We demonstrate that TGF-β1-induced sm-α-actin expression is mediated by WNT-11 via RhoA activation and subsequent actin cytoskeletal remodeling, as pharmacological inhibition of either Rho kinase by Y27632 or actin remodeling by latrunculin A attenuated sm-α-actin induction. Moreover, we show that TGF-β1 regulates the nuclear expression of myocardin-related transcription factor-A (MRTF-A) in a Rho kinase-dependent fashion, which in turn mediates sm-α-actin expression. Finally, we demonstrate that TGF-β1-induced MRTF-A nuclear translocation is dependent on endogenous WNT-11. The present study thus demonstrates a WNT-11-dependent Rho kinase-actin-MRTF-A signaling axis that regulates the expression of sm-α-actin in ASM cells.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".