Please use this identifier to cite or link to this item:
https://doi.org/10.1371/journal.pcbi.1005726
Title: | Probing eukaryotic cell mechanics via mesoscopic simulations | Authors: | Lykov K. Nematbakhsh Y. Shang M. Lim C.T. Pivkin I.V. |
Keywords: | Article biomechanics calibration cell density cell membrane cell nucleus cell size controlled study cytoskeleton eukaryotic cell human human cell microfluidic analysis micropipette simulation velocity viscoelasticity Young modulus biological model biology biomechanics cell line cytology elasticity epithelium cell microfluidics micromanipulation physiology viscosity Biomechanical Phenomena Cell Line Cell Membrane Cell Nucleus Computational Biology Cytoskeleton Elasticity Epithelial Cells Humans Microfluidics Micromanipulation Models, Biological Viscosity |
Issue Date: | 2017 | Publisher: | Public Library of Science | Citation: | Lykov K., Nematbakhsh Y., Shang M., Lim C.T., Pivkin I.V. (2017). Probing eukaryotic cell mechanics via mesoscopic simulations. PLoS Computational Biology 13 (9) : e1005726. ScholarBank@NUS Repository. https://doi.org/10.1371/journal.pcbi.1005726 | Abstract: | 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. © 2017 Lykov et al. | Source Title: | PLoS Computational Biology | URI: | https://scholarbank.nus.edu.sg/handle/10635/165370 | ISSN: | 1553734X | DOI: | 10.1371/journal.pcbi.1005726 |
Appears in Collections: | Staff Publications Elements |
Show full item record
Files in This Item:
File | Description | Size | Format | Access Settings | Version | |
---|---|---|---|---|---|---|
10_1371_journal_pcbi_1005726.pdf | 3.6 MB | Adobe PDF | OPEN | None | View/Download |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.