Experimental measurement and numerical modeling of deformation behavior of breast cancer cells passing through constricted microfluidic channels.

ABSTRACT: During the multistep process of metastasis, cancer cells encounter various mechanical forces which make them deform drastically. Developing accurate in-silico models, capable of simulating the interactions between the mechanical forces and highly deformable cancer cells, can pave the way for the development of novel diagnostic and predictive methods for metastatic progression. Spring-network models of cancer cell, empowered by our recently proposed identification approach, promises a versatile numerical tool for developing experimentally validated models that can simulate complex interactions at cellular scale. Using this numerical tool, we presented spring-network models of breast cancer cells that can accurately replicate the experimental data of deformation behavior of the cells flowing

SUBMITTER: Keshavarz Motamed P 

PROVIDER: S-EPMC10786721 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature