Control of Cell Alignment and Morphology by Redesigning ECM-Mimetic Nanotopography on Multilayer Membranes
authors Sousa, MP; Caridade, SG; Mano, JF
nationality International
journal ADVANCED HEALTHCARE MATERIALS
keywords CHITOSAN
abstract Inspired by native extracellular matrix (ECM) together with the multilevel architecture observed in nature, a material which topography recapitulates topographic features of the ECM and the internal architecture mimics the biological materials organization is engineered. The nanopatterned design along the XY plane is combined with a nanostructured organization along the Z axis on freestanding membranes prepared by layer-by-layer deposition of chitosan and chondroitin sulfate. Cellular behavior is monitored using two different mammalian cell lines, fibroblasts (L929) and myoblasts (C2C12), in order to perceive the response to topography. Viability, proliferation, and morphology of L929 are sensitively controlled by topography; also differentiation of C2C12 into myotubes is influenced by the presence of nanogrooves. This kind of nanopatterned structure has also been associated with strong cellular alignment. To the best of the knowledge, it is the first time that such a straightforward and inexpensive strategy is proposed to produce nanopatterned freestanding multilayer membranes. Controlling cellular alignment plays a critical role in many human tissues, such as muscles, nerves, or blood vessels, so these membranes can be potentially useful in specific tissue regeneration strategies.
publisher WILEY
issn 2192-2640
isbn 2192-2659
year published 2017
volume 6
issue 15
digital object identifier (doi) 10.1002/adhm.201601462
web of science category Engineering, Biomedical; Nanoscience & Nanotechnology; Materials Science, Biomaterials
subject category Engineering; Science & Technology - Other Topics; Materials Science
unique article identifier WOS:000407278100007
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journal analysis (jcr 2019):
journal impact factor 7.367
5 year journal impact factor 6.964
category normalized journal impact factor percentile 87.158
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