Computational modeling of three-dimensional ECM-rigidity sensing to guide directed cell migration
Filopodia have a key role in sensing both chemical and mechanical cues in surrounding extracellular matrix (ECM). However, quantitative understanding is still missing in the filopodialmechanosensing of local ECM stiffness, resulting from dynamic interactions between filopodia and the surrounding 3D...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
National Academy of Sciences (U.S.)
2018
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| Online Access: | http://hdl.handle.net/1721.1/118468 https://orcid.org/0000-0001-6649-9463 https://orcid.org/0000-0003-2912-1538 https://orcid.org/0000-0002-7232-304X https://orcid.org/0000-0003-3155-6223 |
| Summary: | Filopodia have a key role in sensing both chemical and mechanical cues in surrounding extracellular matrix (ECM). However, quantitative understanding is still missing in the filopodialmechanosensing of local ECM stiffness, resulting from dynamic interactions between filopodia and the surrounding 3D ECM fibers. Here we present a method for characterizing the stiffness of ECM that is sensed by filopodia based on the theory of elasticity and discrete ECM fiber. We have applied this method to a filopodial mechanosensing model for predicting directed cell migration toward stiffer ECM. This model provides us with a distribution of force and displacement as well as their time rate of changes near the tip of a filopodium when it is bound to the surrounding ECM fibers. Aggregating these effects in each local region of 3D ECM, we express the local ECM stiffness sensed by the cell and explain polarity in the cellular durotaxis mechanism. Keywords: filopodia; mechanosensing; ECM; durotaxis; computational modeling |
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