Literature DB >> 15548878

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

Zhe Yu1, Guangxin Xiang, Liangbin Pan, Lihua Huang, Zhongyao Yu, Wanli Xing, Jing Cheng.   

Abstract

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.

Entities:  

Mesh:

Year:  2004        PMID: 15548878     DOI: 10.1023/B:BMMD.0000048563.58129.76

Source DB:  PubMed          Journal:  Biomed Microdevices        ISSN: 1387-2176            Impact factor:   2.838


  7 in total

1.  The use of electric fields in tissue engineering: A review.

Authors:  Gerard H Markx
Journal:  Organogenesis       Date:  2008-01       Impact factor: 2.500

2.  Estimation of the physical properties of neurons and glial cells using dielectrophoresis crossover frequency.

Authors:  Tianyi Zhou; Yixuan Ming; Susan F Perry; Svetlana Tatic-Lucic
Journal:  J Biol Phys       Date:  2016-07-09       Impact factor: 1.365

3.  Electrokinetic confinement of axonal growth for dynamically configurable neural networks.

Authors:  Thibault Honegger; Mark A Scott; Mehmet F Yanik; Joel Voldman
Journal:  Lab Chip       Date:  2013-02-21       Impact factor: 6.799

Review 4.  Using chips to simulate the brain as a tool to investigate brain development.

Authors:  Xiong Li; Guo-Li Ming
Journal:  Expert Rev Neurother       Date:  2008-07       Impact factor: 4.618

5.  Large extracellular spikes recordable from axons in microtunnels.

Authors:  Liangbin Pan; Sankaraleengam Alagapan; Eric Franca; Thomas DeMarse; Gregory J Brewer; Bruce C Wheeler
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2013-11-13       Impact factor: 3.802

Review 6.  Cell patterning for liver tissue engineering via dielectrophoretic mechanisms.

Authors:  Wan Nurlina Wan Yahya; Nahrizul Adib Kadri; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-07-02       Impact factor: 3.576

7.  Single-neuronal cell culture and monitoring platform using a fully transparent microfluidic DEP device.

Authors:  Hyungsoo Kim; In-Kyu Lee; Kendra Taylor; Karl Richters; Dong-Hyun Baek; Jae Ha Ryu; Sang June Cho; Yei Hwan Jung; Dong-Wook Park; Joseph Novello; Jihye Bong; Aaron J Suminski; Aaron M Dingle; Robert H Blick; Justin C Williams; Erik W Dent; Zhenqiang Ma
Journal:  Sci Rep       Date:  2018-09-04       Impact factor: 4.379

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.