Nanoscaled surface patterns influence adhesion and growth of human dermal fibroblasts.

Nanoscaled surface patterns influence adhesion and growth of human dermal fibroblasts.
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DOI:
10.1021/la402705r
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发表时间:
2013-10
期刊:
Langmuir : the ACS journal of surfaces and colloids
影响因子:
--
通讯作者:
Marcus S Niepel;B. Fuhrmann;H. Leipner;T. Groth
Marcus S Niepel;B. Fuhrmann;H. Leipner;T. Groth
中科院分区:
其他
文献类型:
--
作者:
Marcus S Niepel;B. Fuhrmann;H. Leipner;T. Groth

文献摘要

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一般来说,如果细胞仅与感兴趣的特征相互作用,则需要对纳米生物材料表面进行钝化。为此,使用了链长不同的自组装单分子层(SAM);它们在防止蛋白质吸附或细胞黏附方面非常有效。此外,还讨论了一种设计不同尺寸和距离的纳米管的简单且经济有效的技术,即所谓的纳米球光刻(NSL),它允许根据特征尺寸来控制细胞的黏附和生长。这两种技术的结合产生了高度选择性的纳米结构表面,表明单一蛋白质选择性地吸附在活化的纳米颗粒上。另外,正常人真皮成纤维细胞(NHDF)的黏附和生长受到纳米结构尺寸的强烈影响,也被证明这些细胞的纤维连接蛋白(FN)基质的形成也受到影响。此外,FN纤维与六角形紧密堆积的纳米管相连。因此,由于纳米图案的尺寸可以引起进一步的修改,并允许引入化学异质性来指导未来的干细胞分化,因此本文提出的系统可以应用于组织工程和植入物设计。
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.