Abstract
Cells actively probe and respond to the stiffness of their surroundings. Since mechanosensory cells in connective tissue are surrounded by a disordered network of biopolymers, their in vivo mechanical environment can be extremely heterogeneous. Here we investigate how this heterogeneity impacts mechanosensing by modelling the cell as an idealized local stiffness sensor inside a disordered fibre network. For all types of networks we study, including experimentally-imaged collagen and fibrin architectures, we find that measurements applied at different points yield a strikingly broad range of local stiffnesses, spanning roughly two decades. We verify via simulations and scaling arguments that this broad range of local stiffnesses is a generic property of disordered fibre networks. Finally, we show that to obtain optimal, reliable estimates of global tissue stiffness, a cell must adjust its size, shape, and position to integrate multiple stiffness measurements over extended regions of space.
Original language | English |
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Article number | 16096 |
Journal | Nature Communications |
Volume | 8 |
DOIs | |
Publication status | Published - 18 Jul 2017 |
Externally published | Yes |
Funding
NanoSystems Initiative Münich' (NIM) and the Deutsche Forschungsgemeinschaft (DFG) via project B12 within the SFB-1032 (to C.P.B. and F.B.), National Science Foundation Grants PHY-1305525
Funders | Funder number |
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National Science Foundation | PHY-1305525 |
Directorate for Mathematical and Physical Sciences | 1310266, 1066293, 1305525, 1420570 |
Deutsche Forschungsgemeinschaft | SFB-1032 |
National Institute of Metrology, China |