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Updated: Dec 17, 2025

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
Published on: October 27, 2020
Computational modeling of transforming growth factor β and activin a receptor complex formation in the context of
Stephen M Farmer1, Claudia D Andl1
1Burnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, USA.
Abstract:
The Transforming growth factor-beta (TGFβ) superfamily is a group of multipotent growth factors that control proliferation, quiescence and differentiation. Aberrant signal transduction and downstream target activation contribute to tumorigenesis and targeted therapy has therefore been considered a promising avenue. Using various modeling pipelines, we analyzed the structure-function relationship between ligand and receptor molecules of the TGFβ family. We further simulated the molecular docking of Galunisertib, a small molecule inhibitor targeting TGFβ signaling in cancer, which is currently undergoing FDA-approved clinical trials. We found that proprotein dimers of Activin isoforms differ at intrachain disulfide bonds, which support prior evidence of varying pro-domain stability and isoform preference. Further, mature proteins possess flexibility around conserved cystine knots to functionally interact with receptors or regulatory molecules in similar but distinct ways to TGFβ. We show that all Activin isoforms are capable of assuming a closed- or open-dimer state, revealing structural promiscuity of their open forms for receptor binding. We propose the first structural landscape for Activin receptor complexes containing a type I receptor (ACVR1B), which shares a pre-helix extension with TGFβ type I receptor (TGFβR1). Here, we artificially demonstrate that Activin can bind TGFβR1 in a TGFβ-like manner and that TGFβ1 can form signaling complexes with ACVR1B. Interestingly, Galunisertib was found to form stable inhibitory structures within the homologous kinase domains of both TGFβR1 and ACVR1B, thus halting receptor-promiscuous signaling. Overall, these observations highlight the challenges of specific TGFβ cascade targeting in the context of cancer therapies.Communicated by Ramaswamy H. Sarma.
Insights
Investigating the Transforming growth factor-beta (TGFβ) superfamily, this study reveals Activin isoforms
Area of Science:
- Molecular Biology
- Biochemistry
- Structural Biology
Background:
- The Transforming growth factor-beta (TGFβ) superfamily regulates crucial cellular processes like proliferation and differentiation.
- Dysregulated TGFβ signaling is implicated in cancer development, making it a target for therapeutic intervention.
- Understanding the structural basis of TGFβ superfamily signaling is key to developing effective cancer treatments.
Purpose of the Study:
- To analyze the structure-function relationships of TGFβ superfamily ligands and receptors.
- To simulate molecular docking of Galunisertib, a TGFβ signaling inhibitor, with target proteins.
- To elucidate the structural basis of Activin and TGFβ interactions with their receptors and the inhibitory mechanism of Galunisertib.
Main Methods:
- Utilized various modeling pipelines to analyze TGFβ superfamily structures.
- Simulated molecular docking of the small molecule inhibitor Galunisertib.
- Investigated structural dynamics and receptor binding capabilities of Activin isoforms and TGFβ.
Main Results:
- Activin isoforms exhibit distinct proprotein dimer structures and mature protein flexibility around conserved cystine knots.
- All Activin isoforms can adopt closed or open dimer states, indicating structural promiscuity for receptor binding.
- Galunisertib forms stable inhibitory complexes with both TGFβ receptor 1 (TGFβR1) and Activin receptor type 1B (ACVR1B) kinase domains.
Conclusions:
- Activin and TGFβ signaling pathways share structural similarities and can exhibit cross-reactivity.
- Galunisertib effectively inhibits both TGFβR1 and ACVR1B, highlighting challenges in targeted TGFβ cascade inhibition.
- These findings provide insights into the complexities of targeting TGFβ signaling in cancer therapy.
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