Albers Jonas, Toma Koji, Offenhäusser Andreas
Institute of Complex Systems, Bioelectronics (ICS-8), Forschungszentrum Jülich GmbH, Jülich, Germany.
Biotechnol J. 2015 Feb;10(2):332-8. doi: 10.1002/biot.201400609. Epub 2015 Jan 13.
Functional networks are the basis of information processing in the central nervous system. Essential for their formation are guided neuronal growth as well as controlled connectivity and information flow. The basis of neuronal development is generated by guiding cues and geometric constraints. To investigate the neuronal growth and connectivity of adjacent neuronal networks, two-dimensional protein patterns were created. A mixture of poly-L-lysine and laminin was transferred onto a silanized glass surface by microcontact printing. The structures were populated with dissociated primary cortical embryonic rat neurons. Triangular structures with diverse opening angles, height, and design were chosen as two-dimensional structures to allow network formation with constricted gateways. Neuronal development was observed by immunohistochemistry to pursue the influence of the chosen structures on the neuronal outgrowth. Neurons were stained for MAP2, while poly-L-lysine was FITC labeled. With this study we present an easy-to-use technique to engineer two-dimensional networks in vitro with defined gateways. The presented micropatterning method is used to generate daisy-chained neuronal networks with predefined connectivity. Signal propagation among geometrically constrained networks can easily be monitored by calcium-sensitive dyes, providing insights into network communication in vitro.
功能网络是中枢神经系统信息处理的基础。其形成的关键在于神经元的引导性生长以及可控的连接性和信息流。神经元发育的基础是由引导线索和几何约束产生的。为了研究相邻神经元网络的神经元生长和连接性,创建了二维蛋白质模式。通过微接触印刷将聚-L-赖氨酸和层粘连蛋白的混合物转移到硅烷化玻璃表面。用解离的原代皮质胚胎大鼠神经元填充这些结构。选择具有不同开口角度、高度和设计的三角形结构作为二维结构,以允许通过收缩的网关形成网络。通过免疫组织化学观察神经元发育,以追踪所选结构对神经元生长的影响。神经元用MAP2染色,而聚-L-赖氨酸用FITC标记。通过这项研究,我们提出了一种易于使用的技术,用于在体外构建具有明确网关的二维网络。所提出的微图案化方法用于生成具有预定义连接性的菊花链状神经元网络。通过钙敏感染料可以轻松监测几何约束网络之间的信号传播,从而深入了解体外网络通信。