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Multiple Cryptic Binding Sites are Necessary for Robust Fibronectin Assembly: An In Silico Study.
Christopher A Lemmon1, Seth H Weinberg2
1Department of Biomedical Engineering, Virginia Commonwealth University, Richmond, VA, 23298, USA.
Scientific Reports
|December 24, 2017
Summary
Multiple binding sites on fibronectin (FN) are crucial for forming robust extracellular matrix fibrils. Models show that more FN-FN binding sites lead to stronger, more physiological fibrils with varied properties.
Area of Science:
- Biophysics
- Extracellular Matrix Biology
- Computational Biology
Background:
- Fibronectin (FN) assembly into insoluble fibrils is essential for tissue structure and mechanics.
- Cell-generated forces expose cryptic binding sites within FN domains, driving fibril formation.
- The precise number and location of these FN-FN binding sites remain debated.
Purpose of the Study:
- To investigate the role of cryptic binding site number and location in fibronectin fibrillogenesis.
- To test competing hypotheses regarding FN-FN interactions using a biophysical model.
- To quantify the impact of molecular alterations on assembled FN fibril properties.
Main Methods:
- Development and application of a novel biophysical model for fibronectin fibrillogenesis.
- Simulation of FN assembly under varying numbers and locations of FN-FN binding sites.
- Analysis of predicted FN fibril properties, including robustness and viscoelasticity.
Main Results:
- Models with a single FN-FN binding site predicted negligible or non-physiological fibrillogenesis.
- Inclusion of multiple FN-FN binding sites robustly predicted fibrillogenesis, with minimal dependence on individual domain properties.
- Multiple binding site models generated heterogeneous fibril populations with two distinct viscoelastic phenotypes.
Conclusions:
- Multiple cryptic FN-FN binding sites are essential for robust fibronectin fibril formation.
- The heterogeneity in predicted fibril phenotypes suggests a mechanism for generating diverse mechanical signals in the extracellular matrix.
- These findings have implications for understanding tissue development and regeneration.
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