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Engineering Cell Adhesion and Orientation via Ultrafast Laser Fabricated Microstructured Substrates

Authors :
Despoina Angelaki
Emmanuel Stratakis
Eleftheria Babaliari
Lefki Chaniotaki
Paraskevi Kavatzikidou
Anthi Ranella
A. Manousaki
Alexandra Siakouli-Galanopoulou
Source :
International Journal of Molecular Sciences, International Journal of Molecular Sciences, Vol 19, Iss 7, p 2053 (2018), Volume 19, Issue 7
Publication Year :
2018

Abstract

Cells take decisions on their responses depending on the stimuli received by the surrounding extracellular environment, that provides the essential cues at the micro and the nano-lengthscales required for adhesion, orientation, proliferation and differentiation. In this study, discontinuous microcones on silicon (Si) and continuous microgrooves on polyethylene terephthalate (PET) substrates were fabricated via ultrashort-pulsed laser irradiation at various fluences, resulting in microstructures with different roughness and geometrical characteristics. The topographical models attained were specifically developed to imitate the guidance and alignment of Schwann cells for oriented axonal regrowth, towards nerve regeneration. At the same time, positive replicas of the silicon microstructures formed were successfully reproduced, via soft lithography, on the biodegradable polymer poly(lactide-co-glycolide) (PLGA). The anisotropic continuous (PET) and discontinuous (PLGA replicas) microstructured polymeric substrates were assessed in terms of their influence on the Schwann cells responses. It is shown that the developed micropatterned substrates enable control over the cellular adhesion, proliferation and orientation and are thus useful to engineer cell alignment in vitro. This property could be potentially useful in the fields of neural tissue engineering and for dynamic microenvironment systems that simulate in vivo conditions.

Details

ISSN :
14220067
Volume :
19
Issue :
7
Database :
OpenAIRE
Journal :
International journal of molecular sciences
Accession number :
edsair.doi.dedup.....3d179fa54a74d2a1c0292efd73260d7b