Negative dielectrophoretic force assisted construction of ordered neuronal networks on cell positioning bioelectronic chips

被引:38
作者
Yu, Z
Xiang, GX
Pan, LB
Huang, LH
Yu, ZY
Xing, WL [1 ]
Cheng, J
机构
[1] Tsing Hua Univ, Dept Biol Sci & Biotechnol, Beijing 100084, Peoples R China
[2] Natl Engn Res Ctr Beijing Biochip Technol, Beijing, Peoples R China
[3] Tsing Hua Univ, State Key Lab Biomembrane & Membrane Biotechnol, Beijing 100084, Peoples R China
关键词
cell positioning bioelectronic chip; dielectrophoretic force; on-chip neuron culture; ordered neuronal networks;
D O I
10.1023/B:BMMD.0000048563.58129.76
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Developing new methods and technologies in order to pattern neurons into regular networks is of utmost scientific interest in the field of neurological research. An efficient method here is developed for trapping neurons and constructing ordered neuronal networks on bioelectronic chips by using arrayed negative dielectrophoretic (DEP) forces. A special bioelectronic chip with well defined positioning electrode arrays was designed and fabricated on silicon substrate. When a high frequency AC signal was applied, the cell positioning bioelectronic chip (CPBC) is able to provide a well-defined non-uniform electric field, and thus generate negative DEP forces. The parameters, such as size of positioning electrode, conductivity of working solution, amplitude and frequency of power signal and cell concentration, were investigated to optimize the performance of the CPBC. When the neuron suspension was added onto the energized bioelectronic chip, the neurons were immediately trapped and quickly formed the predetermined pattern. Neurons may adhere and then be cultured directly on the CPBC, and show good neuron viability and neurite development. The formation of the ordered neuronal networks after two-week culture demonstrates that negative dielectrophoretic force assisted construction of ordered neuronal networks is effective, and it could be used to assist in monitoring functional activities of neuronal networks.
引用
收藏
页码:311 / 324
页数:14
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