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用于局部神经元存活和神经突延伸的空间模式化基因递送。

Spatially patterned gene delivery for localized neuron survival and neurite extension.

作者信息

Houchin-Ray Tiffany, Whittlesey Kevin J, Shea Lonnie D

机构信息

Department of Chemical and Biological Engineering, Northwestern University, Evanston, Illinois 60208, USA.

出版信息

Mol Ther. 2007 Apr;15(4):705-12. doi: 10.1038/sj.mt.6300106. Epub 2007 Feb 13.

Abstract

Natural tissues can have complex architectures, which arise in part from spatial patterns in gene expression. Regenerative strategies for damaged tissue must recreate these architectures to restore function. In this article, we demonstrate spatially controlled gene delivery from a substrate for directing cellular processes. Non-viral vectors were immobilized to substrates in linear patterns using microfluidic techniques, and cells cultured on the surface had localized gene expression within the cell population. Transfection was achieved in pattern widths as low as 100 mum, with efficiencies dependent on the microchannel treatment and vector concentration. The ability of patterned expression to localize cellular processes was investigated using a neuronal co-culture model. Patterned expression of the diffusible neurotrophic factor nerve growth factor initiated neuron survival and neurite out-growth primarily within the pattern, which decreased significantly in regions directly adjacent to the pattern. Primary neurite density was significantly greater on patterned substrates than on surfaces without patterns. This approach demonstrates the basic technology to create patterns of gene expression that can direct tissue formation and could be employed in regenerative strategies to recreate the complex cellular architectures observed in tissues.

摘要

天然组织可能具有复杂的结构,这部分源于基因表达的空间模式。受损组织的再生策略必须重建这些结构以恢复功能。在本文中,我们展示了从一种基质进行空间控制的基因递送以引导细胞进程。使用微流控技术将非病毒载体以线性模式固定在基质上,在表面培养的细胞在细胞群体中具有局部基因表达。在低至100微米的图案宽度下实现了转染,效率取决于微通道处理和载体浓度。使用神经元共培养模型研究了图案化表达定位细胞进程的能力。可扩散的神经营养因子神经生长因子的图案化表达主要在图案内引发神经元存活和神经突生长,在与图案直接相邻的区域显著减少。图案化基质上的初级神经突密度明显高于无图案的表面。这种方法展示了创建可引导组织形成的基因表达图案的基础技术,可用于再生策略以重建在组织中观察到的复杂细胞结构。

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