Back to Search
Start Over
Dynamically Re‐Organized Collagen Fiber Bundles Transmit Mechanical Signals and Induce Strongly Correlated Cell Migration and Self‐Organization
- Source :
- Angewandte Chemie International Edition. 60:11858-11867
- Publication Year :
- 2021
- Publisher :
- Wiley, 2021.
-
Abstract
- Correlated cell migration in fibrous extracellular matrix (ECM) is important in many biological processes. During migration, cells can remodel the ECM, leading to the formation of mesoscale structures such as fiber bundles. However, how such mesoscale structures regulate correlated single-cells migration remains to be elucidated. Here, using a quasi-3D in vitro model, we investigate how collagen fiber bundles are dynamically re-organized and guide cell migration. By combining laser ablation technique with 3D tracking and active-particle simulations, we definitively show that only the re-organized fiber bundles that carry significant tensile forces can guide strongly correlated cell migration, providing for the first time a direct experimental evidence supporting that matrix-transmitted long-range forces can regulate cell migration and self-organization. This force regulation mechanism can provide new insights for studies on cellular dynamics, fabrication or selection of biomedical materials in tissue repairing, and many other biomedical applications.
- Subjects :
- Materials science
Myosins
010402 general chemistry
Heterocyclic Compounds, 4 or More Rings
Mechanotransduction, Cellular
01 natural sciences
Catalysis
Madin Darby Canine Kidney Cells
In vitro model
Extracellular matrix
Dogs
Cell Movement
Collagen fiber
Tensile Strength
3d tracking
Animals
Humans
Cellular dynamics
Self-organization
010405 organic chemistry
Cell migration
General Chemistry
Actins
Extracellular Matrix
0104 chemical sciences
Biophysics
Collagen
Paxillin
Subjects
Details
- ISSN :
- 15213773 and 14337851
- Volume :
- 60
- Database :
- OpenAIRE
- Journal :
- Angewandte Chemie International Edition
- Accession number :
- edsair.doi.dedup.....e1708257ee7d3d28518b2f7ca82bba34
- Full Text :
- https://doi.org/10.1002/anie.202016084