| Literature DB >> 27320202 |
Kisuk Yang1,2, Jaehong Lee3, Jong Seung Lee1, Dayeong Kim3, Gyeong-Eon Chang1, Jungmok Seo3, Eunji Cheong1, Taeyoon Lee3, Seung-Woo Cho1.
Abstract
Graphene has shown great potential for biomedical engineering applications due to its electrical conductivity, mechanical strength, flexibility, and biocompatibility. Topographical cues of culture substrates or tissue-engineering scaffolds regulate the behaviors and fate of stem cells. In this study, we developed a graphene oxide (GO)-based patterned substrate (GPS) with hierarchical structures capable of generating synergistic topographical stimulation to enhance integrin clustering, focal adhesion, and neuronal differentiation in human neural stem cells (hNSCs). The hierarchical structures of the GPS were composed of microgrooves (groove size: 5, 10, and 20 μm), ridges (height: 100-200 nm), and nanoroughness surfaces (height: ∼10 nm). hNSCs grown on the GPS exhibited highly elongated, aligned neurite extension along the ridge of the GPS and focal adhesion development that was enhanced compared to that of cells grown on GO-free flat substrates and GO substrates without the hierarchical structures. In particular, GPS with a groove width of 5 μm was found to be the most effective in activating focal adhesion signaling, such as the phosphorylation of focal adhesion kinase and paxillin, thereby improving neuronal lineage commitment. More importantly, electrophysiologically functional neuron-like cells exhibiting sodium channel currents and action potentials could be derived from hNSCs differentiated on the GPS even in the absence of any of the chemical agents typically required for neurogenesis. Our study demonstrates that GPS could be an effective culture platform for the generation of functional neuron-like cells from hNSCs, providing potent therapeutics for treating neurodegenerative diseases and neuronal disorders.Entities:
Keywords: electrophysiology; focal adhesion; graphene oxide pattern; hierarchical topography; human neural stem cell; neuronal differentiation
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Year: 2016 PMID: 27320202 DOI: 10.1021/acsami.6b01804
Source DB: PubMed Journal: ACS Appl Mater Interfaces ISSN: 1944-8244 Impact factor: 9.229