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Fibrous nonlinear elasticity enables positive mechanical feedback between cells and ECMs.
- Source :
-
Proceedings of the National Academy of Sciences of the United States of America [Proc Natl Acad Sci U S A] 2016 Dec 06; Vol. 113 (49), pp. 14043-14048. Date of Electronic Publication: 2016 Nov 21. - Publication Year :
- 2016
-
Abstract
- In native states, animal cells of many types are supported by a fibrous network that forms the main structural component of the ECM. Mechanical interactions between cells and the 3D ECM critically regulate cell function, including growth and migration. However, the physical mechanism that governs the cell interaction with fibrous 3D ECM is still not known. In this article, we present single-cell traction force measurements using breast tumor cells embedded within 3D collagen matrices. We recreate the breast tumor mechanical environment by controlling the microstructure and density of type I collagen matrices. Our results reveal a positive mechanical feedback loop: cells pulling on collagen locally align and stiffen the matrix, and stiffer matrices, in return, promote greater cell force generation and a stiffer cell body. Furthermore, cell force transmission distance increases with the degree of strain-induced fiber alignment and stiffening of the collagen matrices. These findings highlight the importance of the nonlinear elasticity of fibrous matrices in regulating cell-ECM interactions within a 3D context, and the cell force regulation principle that we uncover may contribute to the rapid mechanical tissue stiffening occurring in many diseases, including cancer and fibrosis.<br />Competing Interests: The authors declare no conflict of interest.
- Subjects :
- Biomechanical Phenomena
Breast Neoplasms metabolism
Cell Communication physiology
Cell Line, Tumor
Collagen chemistry
Elasticity
Humans
Mechanoreceptors physiology
Microscopy, Confocal
Protein Array Analysis methods
Breast Neoplasms pathology
Collagen metabolism
Extracellular Matrix pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1091-6490
- Volume :
- 113
- Issue :
- 49
- Database :
- MEDLINE
- Journal :
- Proceedings of the National Academy of Sciences of the United States of America
- Publication Type :
- Academic Journal
- Accession number :
- 27872289
- Full Text :
- https://doi.org/10.1073/pnas.1613058113