Development of a virtual cell model to predict cell response to substrate topography

Heydari, T., Heidari, M., Mashinchian, O., Wojcik, M., Xu, K., Dalby, M. J. , Mahmoudi, M. and Ejtehadi, M. R. (2017) Development of a virtual cell model to predict cell response to substrate topography. ACS Nano, 11(9), pp. 9084-9092. (doi:10.1021/acsnano.7b03732) (PMID:28742318)

[img]
Preview
Text
145388.pdf - Published Version
Available under License Creative Commons Attribution.

5MB

Abstract

Cells can sense and respond to changes in the topographical, chemical, and mechanical information in their environment. Engineered substrates are increasingly being developed that exploit these physical attributes to direct cell responses (most notably mesenchymal stem cells) and therefore control cell behavior toward desired applications. However, there are very few methods available for robust and accurate modeling that can predict cell behavior prior to experimental evaluations, and this typically means that many cell test iterations are needed to identify best material features. Here, we developed a unifying computational framework to create a multicomponent cell model, called the "virtual cell model" that has the capability to predict changes in whole cell and cell nucleus characteristics (in terms of shape, direction, and even chromatin conformation) on a range of cell substrates. Modeling data were correlated with cell culture experimental outcomes in order to confirm the applicability of the virtual cell model and demonstrating the ability to reflect the qualitative behavior of mesenchymal stem cells. This may provide a reliable, efficient, and fast high-throughput approach for the development of optimized substrates for a broad range of cellular applications including stem cell differentiation.

Item Type:Articles
Keywords:Micro/nanosubstrates, multicomponent cell model, stiffness, topography, virtual cell.
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Dalby, Professor Matthew
Authors: Heydari, T., Heidari, M., Mashinchian, O., Wojcik, M., Xu, K., Dalby, M. J., Mahmoudi, M., and Ejtehadi, M. R.
College/School:College of Medical Veterinary and Life Sciences > Institute of Molecular Cell and Systems Biology
Journal Name:ACS Nano
Publisher:American Chemical Society
ISSN:1936-0851
ISSN (Online):1936-086X
Published Online:25 July 2017
Copyright Holders:Copyright © 2017 American Chemical Society
First Published:First published in ACS Nano 11(9): 9084-9092
Publisher Policy:Reproduced under a Creative Commons license

University Staff: Request a correction | Enlighten Editors: Update this record

Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
438161Stem Cell Differentiation & Genomic Processes in Response to Bioactive NanotopographyMatthew DalbyBiotechnology and Biological Sciences Research Council (BBSRC)BB/G008868/1RI MOLECULAR CELL & SYSTEMS BIOLOGY