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Updated: May 4, 2026

Studying TGF-β Signaling and TGF-β-induced Epithelial-to-mesenchymal Transition in Breast Cancer and Normal Cells
Published on: October 27, 2020
Characterization of negative feedback network motifs in the TGF-β signaling pathway
1Modeling of Biological Networks Laboratory, Department of Biomedical Engineering, University of California Davis, Davis, California, United States of America.
Abstract:
The transforming growth factor-β (TGF-β) superfamily of cytokines plays a fundamental role in a wide variety of cellular processes, including growth, differentiation, apoptosis, and tissue homeostasis [corrected]. Its relevance is emphasized by the mutations of its core components that are associated with diverse human diseases, such as cancer and cardiovascular pathologies. A prominent regulator of the pathway is Smad7, which attenuates the signal and controls its duration in a cell-type-dependent manner through a negative feedback loop. Here, we characterize all the potential Smad7-mediated negative feedback network motifs and investigate their effects on the signaling dynamics upon stimulation with TGF-β and bone morphogenetic protein (BMP) ligands. The results show that the specific negative feedback implementation is a key determinant of both the response of the system to single and multiple ligands of the TGF-β superfamily and its robustness and sensitivity to parameter perturbations.
Insights
Smad7 regulates transforming growth factor-β (TGF-β) signaling duration. This study identifies Smad7 feedback motifs, revealing their critical role in TGF-β superfamily signaling dynamics, robustness, and sensitivity.
Area of Science:
- Cellular Biology
- Molecular Signaling
- Systems Biology
Background:
- Transforming growth factor-β (TGF-β) superfamily cytokines are crucial for cellular processes like growth, differentiation, and homeostasis.
- Dysregulation of TGF-β signaling is implicated in human diseases, including cancer and cardiovascular pathologies.
- Smad7 acts as a key negative regulator, attenuating TGF-β signaling via feedback loops.
Purpose of the Study:
- To characterize Smad7-mediated negative feedback network motifs within the TGF-β signaling pathway.
- To investigate the impact of these feedback mechanisms on signaling dynamics in response to TGF-β and bone morphogenetic protein (BMP) ligands.
- To determine how feedback implementation influences system response, robustness, and sensitivity.
Main Methods:
- Computational modeling and analysis of Smad7-mediated negative feedback loops.
- Simulation of signaling dynamics under stimulation with TGF-β superfamily ligands.
- Assessment of system robustness and sensitivity to parameter variations.
Main Results:
- Specific Smad7 negative feedback network motifs were identified and characterized.
- The implementation of negative feedback significantly impacts signaling dynamics.
- Feedback mechanisms are key determinants of the system's response to single and multiple ligands.
- Robustness and sensitivity to parameter perturbations are modulated by feedback structure.
Conclusions:
- The specific architecture of Smad7-mediated negative feedback is critical for controlling TGF-β superfamily signaling.
- Understanding these feedback networks provides insights into cellular responses and disease mechanisms.
- This study highlights the importance of network motifs in determining signaling pathway behavior.
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