Biomechanics of Collective Cell Migration in Cancer Progression -- Experimental and Computational Methods
Autor: | Ruchuan Liu, Zi Chen, Jing Fan, Hao Zhang, Qiaohang Guo, Xinyue Han, Jacob Notbohm, Dung Trung Nguyen, Catalina-Paula Spatarelu, Liyu Liu |
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Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
In silico
0206 medical engineering Biomedical Engineering FOS: Physical sciences 02 engineering and technology Biology Article Biomaterials Extracellular matrix Cell Behavior (q-bio.CB) medicine Epithelial–mesenchymal transition Physics - Biological Physics Mechanism (biology) Collective cell migration Cancer Cell migration 021001 nanoscience & nanotechnology medicine.disease 020601 biomedical engineering Review article Biological Physics (physics.bio-ph) FOS: Biological sciences Quantitative Biology - Cell Behavior 0210 nano-technology Neuroscience |
Zdroj: | ACS Biomater Sci Eng |
Popis: | Cell migration is essential for regulating many biological processes in physiological or pathological conditions, including embryonic development and cancer invasion. In vitro and in silico studies suggest that collective cell migration is associated with some biomechanical particularities such as restructuring of extracellular matrix (ECM), stress and force distribution profiles, and reorganization of the cytoskeleton. Therefore, the phenomenon could be understood by an in-depth study of cells' behavior determinants, including but not limited to mechanical cues from the environment and from fellow "travelers". This review article aims to cover the recent development of experimental and computational methods for studying the biomechanics of collective cell migration during cancer progression and invasion. We also summarized the tested hypotheses regarding the mechanism underlying collective cell migration enabled by these methods. Together, the paper enables a broad overview on the methods and tools currently available to unravel the biophysical mechanisms pertinent to cell collective migration as well as providing perspectives on future development toward eventually deciphering the key mechanisms behind the most lethal feature of cancer. |
Databáze: | OpenAIRE |
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