Neuronal networks in vitro:: formation and organization on biofunctionalized surfaces

Neuronal networks in vitro:: formation and organization on biofunctionalized surfaces
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DOI:
10.1023/a:1008975105243
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发表时间:
1999-12-01
影响因子:
3.7
通讯作者:
Maelicke, A
Maelicke, A
中科院分区:
工程技术3区
文献类型:
--
作者:
Klein, CL;Scholl, M;Maelicke, A

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受体介导的底物分子识别是神经细胞在体内寻找其靶结构的先决条件,并导致神经元连接和网络的形成。为了在体外条件下研究这些机制,我们在生物功能化表面上培养胚胎海马神经元或神经元细胞系SH-SY 5 Y和PCC 7-PCC 7-Mz 1。聚合物表面上的微图案化,玻璃和硅氧化物基芯片材料进行微米范围内的微接触印刷使用聚二甲基硅氧烷(PDMS)邮票。海马神经元被发现在无血清条件下在芯片表面形成网络,并保持功能超过一周。发现人神经母细胞瘤细胞SH-SY 5 Y以及PCC 7-Mz 1干细胞遵循聚苯乙烯表面上的微接触印刷图案。两种细胞系均显示神经元标记物表达,并在含血清的培养基中培养长达7天。发现3-5 μ m宽度的涂层线可增强单细胞沿着图案的铺展。这项研究中描述的技术可能有助于促进神经细胞再生和组织后,由于创伤或手术横断。体外神经元的排列和网络形成可以进一步作为生物传感器领域的模型系统。(C)1999 Kluwer Academic Publishers.
Receptor-mediated recognition of substrate molecules is a prerequisite for nerve cells in order to find their target structures in vivo and leads to formation of neuronal connections and networks. In order to study these mechanisms under in vitro conditions, we cultured embryonic hippocampal neurons or neuronal cell lines, SH-SY5Y and PCC7-PCC7-Mz1, onto biofunctionalized surfaces. Micropatterning on polymer surfaces, glass- and silicone-oxide-based chip materials was performed in a micrometer range by microcontact printing using polydimethylsiloxane (PDMS) stamps. Hippocampal neurons were found to form networks on chip surfaces under serum-free conditions and remained functional for more than a week. Human neuroblastoma cells SH-SY5Y as well as PCC7-Mz1 stem cells were found to follow microcontact printed pattern on polystyrene surfaces. Both cell lines showed neuronal marker expression and were cultured for up to 7 days with serum containing culture medium. Widths of 3-5 mu m of coating lines were found to enhance single cell spreading along the pattern. The techniques described in this study may be useful in promoting nerve cell regeneration and organization following transection due to trauma or surgery. The neuronal alignment and network formation in vitro may furthermore serve as a model system in the field of biosensors. (C) 1999 Kluwer Academic Publishers.