Tunable anisotropic networks for 3-D oriented neural tissue models

last updated: 2018-09-14
TitleTunable anisotropic networks for 3-D oriented neural tissue models
Publication TypePapers in Scientific Journals
Year of Publication2018
AuthorsCanadas R. F., Ren T., Tocchio A., Marques A. P., Dr. Oliveira J. M., Reis R. L., and Demirci U.
EditorsElsevier
Abstract

Organized networks are common in nature showing specific tissue micro-architecture, where cells can be found isotropically or anisotropically distributed in characteristic arrangements and tissue stiffness. However, when addressing an in vitro tissue model, it is challenging to grant control over mechanical properties while achieving anisotropic porosity of polymeric networks, especially in three-dimensional systems (3-D). While progress was achieved organizing cells in two-dimension (2-D), fabrication methods for aligned networks in 3-D are limited. Here, we describe the use of a biomimetic extra-cellular matrix system allowing programming of anisotropic structures into precisely advancing pore diameters in 3-D. Using control over polymeric composition, crosslinking directionality and freezing gradient dynamics, we revealed a mechanism to top-down biofabricate 3-D structures with tunable micro-porosity capable of directing cellular responses at millimeter scale such as axonal anisotropic outgrowth that is a unique characteristic of the brain cortex. Further, we showed the unique integration of this method with a microfluidic system establishing a neural-endothelial heterotypic conjugation, which can potentially be broadly applied to multiple organ systems.

 

JournalBiomaterials
Volume181
Pagination402-414
Date Published2018-10-01
PublisherElsevier
ISSN30138793
DOI10.1016/j.biomaterials.2018.07.055
URLhttps://www.sciencedirect.com/science/article/pii/S0142961218305465?via%3Dihub
Keywords3-D, Anisotropy, Microfluidic, Neural model, Tissue engineering
RightsrestrictedAccess
Peer reviewedyes
Statuspublished

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