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Interfacing Microfluidics with Microelectrode Arrays for Studying Neuronal Communication and Axonal Signal Propagation
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Single neurons on microelectrode array chip: manipulation and analyses.

Hongyong Zhang1,2, Pengbo Wang2, Nan Huang3

  • 1Zhejiang University, Hangzhou, Zhejiang, China.

Frontiers in Bioengineering and Biotechnology
|October 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a microelectrode array (MEA) chip for precise single-cell manipulation and electrophysiology recording. The platform enables detailed analysis of intercellular interactions and cellular functions, advancing cell modeling capabilities.

Keywords:
dielectrophoresiselectrophysiologymicroelectrode arraynetwork of neuronssingle neuronssingle-cell manipulation

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Area of Science:

  • Biotechnology
  • Cell Biology
  • Neuroscience

Background:

  • Single-cell manipulation platforms are crucial for analyzing intercellular interactions and cellular functions.
  • Conventional co-culture models offer limited insight into the role of individual cells.

Purpose of the Study:

  • To develop a precise intercellular interaction model using a microelectrode array (MEA)-based chip.
  • To enable independent manipulation and electrophysiological recording of single cells.

Main Methods:

  • Utilized a microelectrode array (MEA) chip driven by dielectrophoresis for single-cell manipulation.
  • Independently controlled electrodes for precise cell trapping, transfer, and electrophysiology recording.
  • Investigated effects of microwell dimensions, cell geometry, and voltage amplitude on cell manipulation.

Main Results:

  • Optimized microenvironment for effective single-cell manipulation.
  • Evaluated chip performance with 293T and neural cells, observing oncosis from inappropriate electric field use.
  • Recorded and compared electrophysiology of single neurons and neural networks from human induced pluripotent stem cells (iPSC).

Conclusions:

  • The developed chip provides a controllable platform for studying intercellular interactions.
  • Demonstrated the chip's functionality in recording neuronal electrophysiology.
  • Extended in vitro cell modeling towards more elaborate and controllable intercellular interaction systems.