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Obtaining Multi-electrode Array Recordings from Human Induced Pluripotent Stem Cell-Derived Neurons.

Xiaohong Xu1, Carola I Radulescu1, Kagistia Hana Utami1

  • 1Translational Laboratory in Genetic Medicine (TLGM), Agency for Science, Technology and Research (ASTAR), Singapore, Singapore.

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|October 1, 2021
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Summary

This study details a protocol for using multi-electrode array (MEA) systems to analyze neuronal activity in human induced pluripotent stem cells (hiPSCs)-derived neurons. This method aids in understanding neurological disorders and drug discovery.

Keywords:
Disease modelingHuman induced pluripotent stem cellsMulti-electrode arrayNeurological diseases

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Area of Science:

  • Neuroscience
  • Stem Cell Biology
  • Biotechnology

Background:

  • Aberrant neuronal electrical properties are characteristic of neurological disorders.
  • Human induced pluripotent stem cells (hiPSCs)-derived neurons offer a valuable in vitro model for disease research.
  • Existing methods for studying neuronal networks can be invasive or require labeling.

Purpose of the Study:

  • To present a detailed protocol for assessing neuronal activity and bursting in hiPSC-derived neuronal cultures using multi-electrode array (MEA) systems.
  • To facilitate neurological disease modeling, drug discovery, and toxicity screening.
  • To provide a non-invasive, label-free method for analyzing neural network changes.

Main Methods:

  • Utilized the Axion Maestro MEA platform for recording neuronal activity.
  • Developed a comprehensive protocol for preparing hiPSC-derived neuronal cultures for MEA analysis.
  • Established procedures for MEA recording and subsequent data analysis of neural network function.

Main Results:

  • Successfully recorded and analyzed neuronal activity and bursting behaviors in hiPSC-derived neuronal cultures.
  • Demonstrated the utility of the MEA platform for detecting neural network changes.
  • Validated the protocol for its application in disease modeling and drug screening.

Conclusions:

  • The described protocol provides a robust and accessible method for studying hiPSC-derived neuronal networks.
  • This approach enhances the capability for in vitro neurological disease modeling and therapeutic development.
  • The non-invasive, label-free nature of MEA recording offers significant advantages for neural network analysis.