Cellular-based Computational Model of hMSC Differentiation into Neuronal Lineage on Nanofibrous PCL- Graphene Scaffolds
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Authors
Haliti, Pegi
Issue Date
2019-03-29
Type
Other
Language
en_US
Keywords
Cellular Potts model , Computational modeling , Polycaprolatone (PCL)-graphene nanostructured scaffolds
Alternative Title
Abstract
In the last decade, stem cell research and nanotechnology have played a crucial role in the rapid advancement of tissue engineering. In this project, we utilize biological observations and develop a computational model, using Cellular Potts Model (a.k.a the Glazier-Graner-Hogeweg model), a lattice-based, cellular level computational framework that accurately describes biological phenomena including stem cell differentiation. Particularly we focus on cellular level interactions of hMSC derived neuronal cells on a Poly(ε-caprolactone) (PCL)-graphene scaffolds which are proven to provide better protein and cell adhesion. In this study, the Cellular Potts Model is used to design a dynamic microenvironment for cellular organization and its functioning at a Nano-scale level and also study the cells-biomaterial interactions.