Fiber alignment in 3D collagen networks as a biophysical marker for cell contractility

Cells cultured in 3D fibrous biopolymer matrices exert traction forces on their environment that induce deformations and remodeling of the fiber network. By measuring these deformations, the traction forces can be reconstructed if the mechanical properties of the matrix and the force-free matrix con...

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Published inMatrix biology Vol. 124; pp. 39 - 48
Main Authors Böhringer, David, Bauer, Andreas, Moravec, Ivana, Bischof, Lars, Kah, Delf, Mark, Christoph, Grundy, Thomas J, Görlach, Ekkehard, O'Neill, Geraldine M, Budday, Silvia, Strissel, Pamela L, Strick, Reiner, Malandrino, Andrea, Gerum, Richard, Mak, Michael, Rausch, Martin, Fabry, Ben
Format Journal Article
LanguageEnglish
Published Netherlands 01.12.2023
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Summary:Cells cultured in 3D fibrous biopolymer matrices exert traction forces on their environment that induce deformations and remodeling of the fiber network. By measuring these deformations, the traction forces can be reconstructed if the mechanical properties of the matrix and the force-free matrix configuration are known. These requirements limit the applicability of traction force reconstruction in practice. In this study, we test whether force-induced matrix remodeling can instead be used as a proxy for cellular traction forces. We measure the traction forces of hepatic stellate cells and different glioblastoma cell lines and quantify matrix remodeling by measuring the fiber orientation and fiber density around these cells. In agreement with simulated fiber networks, we demonstrate that changes in local fiber orientation and density are directly related to cell forces. By resolving Rho-kinase (ROCK) inhibitor-induced changes of traction forces, fiber alignment, and fiber density in hepatic stellate cells, we show that the method is suitable for drug screening assays. We conclude that differences in local fiber orientation and density, which are easily measurable, can be used as a qualitative proxy for changes in traction forces. The method is available as an open-source Python package with a graphical user interface.
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Author contribution. AB, DB, MR, EG and BF developed the analysis method. AB, RG and DB developed the fiber analysis software. MM performed the fiber network simulations. IM, LB and DB and performed HSC single cell experiments. AM conducted fibrin experiments. CM, GO and TG conducted and analyzed the glioblastoma traction force experiments. SB and DB conducted the rheological measurements. RS and PS established the primary CAF cell lines. DB conducted spheroid experiments. DB conducted the data analysis. DB and DK created figures and tables. BF and DB wrote the manuscript.
ISSN:0945-053X
1569-1802
1569-1802
DOI:10.1016/j.matbio.2023.11.004