Enhanced growth of neural networks on conductive cellulose-derived nanofibrous scaffolds
Autor: | Theodoros Kalogeropoulos, Volodymyr Kuzmenko, Sara Johannesson, Paul Gatenholm, Daniel Hägg, Peter Enoksson, Johannes Thunberg |
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Rok vydání: | 2016 |
Předmět: |
0301 basic medicine
Materials science Cell Survival Nanofibers Bioengineering Nanotechnology 02 engineering and technology Carbon nanotube law.invention Biomaterials 03 medical and health sciences chemistry.chemical_compound Tissue engineering law Confocal microscopy Cell Line Tumor Cell Adhesion Humans Cellulose Cell adhesion Tissue Engineering Tissue Scaffolds Artificial neural network Enhanced growth Electrochemical Techniques 021001 nanoscience & nanotechnology 030104 developmental biology chemistry Mechanics of Materials Nanofiber Nerve Net 0210 nano-technology |
Zdroj: | Materials Science and Engineering: C. 58:14-23 |
ISSN: | 0928-4931 |
DOI: | 10.1016/j.msec.2015.08.012 |
Popis: | The problem of recovery from neurodegeneration needs new effective solutions. Tissue engineering is viewed as a prospective approach for solving this problem since it can help to develop healthy neural tissue using supportive scaffolds. This study presents effective and sustainable tissue engineering methods for creating biomaterials from cellulose that can be used either as scaffolds for the growth of neural tissue in vitro or as drug screening models. To reach this goal, nanofibrous electrospun cellulose mats were made conductive via two different procedures: carbonization and addition of multi-walled carbon nanotubes. The resulting scaffolds were much more conductive than untreated cellulose material and were used to support growth and differentiation of SH-SY5Y neuroblastoma cells. The cells were evaluated by scanning electron microscopy and confocal microscopy methods over a period of 15 days at different time points. The results showed that the cellulose-derived conductive scaffolds can provide support for good cell attachment, growth and differentiation. The formation of a neural network occurred within 10 days of differentiation, which is a promising length of time for SH-SY5Y neuroblastoma cells. |
Databáze: | OpenAIRE |
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