Electrophysiological insights with brain organoid models: a brief review.

BMB Rep

Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419; Department of Metabiohealth, Sungkyunkwan University, Suwon 16419; Department of Biophysics, Sungkyunkwan University, Suwon 16419, Korea.

Published: July 2024

AI Article Synopsis

  • Brain organoids are 3D tissue structures created from stem cells that mimic the human brain's complexity and development, allowing researchers to study it outside the body.
  • Emerging technologies are using these organoids for various applications, including disease modeling and drug testing.
  • Understanding the electrophysiological properties of brain organoids is essential for revealing their functional characteristics, paving the way for advancements in neural network studies and improved disease modeling compared to traditional flat cell cultures.

Article Abstract

Brain organoid is a three-dimensional (3D) tissue derived from stem cells such as induced pluripotent stem cells (iPSCs) embryonic stem cells (ESCs) that reflect real human brain structure. It replicates the complexity and development of the human brain, enabling studies of the human brain in vitro. With emerging technologies, its application is various, including disease modeling and drug screening. A variety of experimental methods have been used to study structural and molecular characteristics of brain organoids. However, electrophysiological analysis is necessary to understand their functional characteristics and complexity. Although electrophysiological approaches have rapidly advanced for monolayered cells, there are some limitations in studying electrophysiological and neural network characteristics due to the lack of 3D characteristics. Herein, electrophysiological measurement and analytical methods related to neural complexity and 3D characteristics of brain organoids are reviewed. Overall, electrophysiological understanding of brain organoids allows us to overcome limitations of monolayer in vitro cell culture models, providing deep insights into the neural network complex of the real human brain and new ways of disease modeling. [BMB Reports 2024; 57(7): 311-317].

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11289503PMC
http://dx.doi.org/10.5483/BMBRep.2024-0077DOI Listing

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