Nanoscaled Surface Patterns Influence Adhesion and Growth of Human Dermal Fibroblasts
Autor: | Hartmut S. Leipner, Marcus S. Niepel, Thomas Groth, Bodo Fuhrmann |
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Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Nanostructure
Cost effectiveness Surface Properties Nanotechnology 02 engineering and technology Matrix (biology) 010402 general chemistry 01 natural sciences Electrochemistry Cell Adhesion Humans General Materials Science Particle Size Cell adhesion Spectroscopy Skin biology Chemistry Surfaces and Interfaces Adhesion Fibroblasts 021001 nanoscience & nanotechnology Condensed Matter Physics 0104 chemical sciences Fibronectin biology.protein Nanosphere lithography 0210 nano-technology Nanospheres Protein adsorption |
Zdroj: | Langmuir |
ISSN: | 1520-5827 0743-7463 |
DOI: | 10.1021/la402705r |
Popis: | In general, there is a need for passivation of nanopatterned biomaterial surfaces if cells are intended to interact only with a feature of interest. For this reason self-assembled monolayers (SAM), varying in chain length, are used; they are highly effective in preventing protein adsorption or cell adhesion. In addition, a simple and cost-effective technique to design nanopatterns of various sizes and distances, the so-called nanosphere lithography (NSL), is discussed, which allows the control of cell adhesion and growth depending on the feature dimensions. Combining both techniques results in highly selective nanostructured surfaces, showing that single proteins selectively adsorb on activated nanopatterns. Additionally, adhesion and growth of normal human dermal fibroblasts (NHDF) is strongly affected by the nanostructure dimensions, and it is proven that fibronectin (FN) matrix formation of these cells is influenced, too. Moreover, the FN fibrils are linked to the hexagonally close-packed nanopatterns. As a result, the system presented here can be applied in tissue engineering and implant design due to the fact that the nanopattern dimensions give rise to further modifications and allow the introduction of chemical heterogeneity to guide stem cell differentiation in the future. |
Databáze: | OpenAIRE |
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