Axonal outgrowth on nano-imprinted patterns
Axonal outgrowth on nano-imprinted patterns
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DOI：
10.1016/j.biomaterials.2005.07.047
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发表时间：
2006-03-01
期刊：
影响因子：
14
通讯作者：
Kanje, M
中科院分区：
文献类型：
--
作者：
Johansson, F;Carlberg, P;Kanje, M
纳米技术提供了制造表面图案的方法，这些图案具有低至几个边缘的特征。细胞或细胞过程是否响应于这样的小图案而表现出接触引导是一个有趣的问题，并且可能与许多应用相关。在本研究中，我们研究了轴突生长是否受到聚甲基丙烯酸甲酯（PMMA）覆盖的硅芯片中的纳米印刷图案的影响。为此，将成年小鼠交感神经节和感觉神经节安装在芯片上靠近纳米图案的Matrigel（R）中。图案由深度为300 nm且宽度为100-400 nm的平行凹槽组成。两个相邻凹槽之间的距离为100-1600 nm。将芯片在含有25 ng/ml神经生长因子的培养基中培养以刺激轴突生长。孵育1周后。通过免疫细胞化学或扫描电子显微镜研究轴突生长。轴突在所有模式上都显示出接触引导。此外，我们发现神经细胞突起更喜欢生长在脊边缘和隆起的图案，而不是在凹槽，一个看似幽闭恐怖症的行为。我们的结论是，周围神经元的轴突可能会引导PMMA上的纳米粒子时，侧面的功能是100 nm或更大。本研究结果可用于神经再生支架或构建稳定，高分辨率的神经元电子接口，这是未来脑机接口所需的。(c)2005爱思唯尔有限公司保留所有权利。
Nanotechnology has provided methods to fabricate surface patterns with features down to a few rim. If cells or cell processes exhibit contact guidance in response to such small patterns is an interesting question and could be pertinent for many applications. In the present study we investigated if axonal outgrowth was affected by nano-printed patterns in polymethylmethacrylate (PMMA)-covered silicon chips. To this end adult mouse sympathetic and sensory ganglia were mounted in Matrigel (R) on the chips close to the nano-patterns. The patterns consisted of parallel grooves with depths of 300 nm and varying widths of 100-400 nm. The distance between two adjacent grooves was 100-1600 nm. The chips were cultured in medium containing 25 ng/ml of nerve growth factor to stimulate axonal outgrowth. After 1 week of incubation. axonal outgrowth was investigated by immunocytochemistry or scanning electron microscopy. Axons displayed contact guidance on all patterns. Furthermore, we found that the nerve cell processes preferred to grow on ridge edges and elevations in the patterns rather than in grooves, a seemingly claustrophobic behavior. We conclude that axons of peripheral neurons might be guided by nanopatterns on PMMA when the lateral features are 100 nm or larger. The present results can be utilized for nerve regenerating scaffolds or the construction of a stable, high-resolution electronic interface to neurons, which is required for future brain machine interfaces. (c) 2005 Elsevier Ltd. All rights reserved.