Probing eukaryotic cell mechanics via mesoscopic simulations

Autor: Yasaman Nematbakhsh, Menglin Shang, Igor V. Pivkin, Chwee Teck Lim, Kirill Lykov
Rok vydání: 2017
Předmět:
0301 basic medicine
Cell
Microfluidics
Cell Membranes
02 engineering and technology
Physical Chemistry
Cell membrane
Micromanipulation
Materials Physics
Cell Mechanics
Biomechanics
Cytoskeleton
lcsh:QH301-705.5
Physics
Mesoscopic physics
Ecology
Viscosity
Simulation and Modeling
Dissipative particle dynamics
Biomechanical Phenomena
Chemistry
medicine.anatomical_structure
Computational Theory and Mathematics
Modeling and Simulation
Physical Sciences
Engineering and Technology
Fluidics
Cellular Structures and Organelles
Biological system
Research Article
0206 medical engineering
Materials Science
Biophysics
Research and Analysis Methods
Models
Biological

Viscoelasticity
Cell Line
03 medical and health sciences
Cellular and Molecular Neuroscience
Nuclear Membrane
Component (UML)
Genetics
medicine
Humans
Molecular Biology
Ecology
Evolution
Behavior and Systematics

Cell Nucleus
Cell Membrane
Computational Biology
Biology and Life Sciences
Epithelial Cells
Cell Biology
020601 biomedical engineering
Elasticity
030104 developmental biology
lcsh:Biology (General)
Chemical Properties
Zdroj: PLoS Computational Biology
PLoS Computational Biology, Vol 13, Iss 9, p e1005726 (2017)
ISSN: 1553-7358
Popis: Cell mechanics has proven to be important in many biological processes. Although there is a number of experimental techniques which allow us to study mechanical properties of cell, there is still a lack of understanding of the role each sub-cellular component plays during cell deformations. We present a new mesoscopic particle-based eukaryotic cell model which explicitly describes cell membrane, nucleus and cytoskeleton. We employ Dissipative Particle Dynamics (DPD) method that provides us with the unified framework for modeling of a cell and its interactions in the flow. Data from micropipette aspiration experiments were used to define model parameters. The model was validated using data from microfluidic experiments. The validated model was then applied to study the impact of the sub-cellular components on the cell viscoelastic response in micropipette aspiration and microfluidic experiments.
Author summary Predictive simulations of cell flow in microfluidic devices and capillary networks may help to quantify the impact of different cell components on its behavior. Cells have complex mechanical properties and can undergo significant deformations, requiring detailed models to give an insight into the cell rheology. We developed computational model for simulations of cells with nucleus and cytoskeleton in flows in complex domains such as capillary networks and microfluidic devices. We validated the model using experimental data and used it to quantify the effects of cell components on its behavior. We envision that the proposed model will allow to study in silico numerous problems related to the cell biomechanics in flows.
Databáze: OpenAIRE