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Electrophysiological Analysis of Brain Organoids: Current Approaches and Advancements.
Passaro, Austin P; Stice, Steven L.
Affiliation
  • Passaro AP; Regenerative Bioscience Center, University of Georgia, Athens, GA, United States.
  • Stice SL; Division of Neuroscience, Biomedical & Health Sciences Institute, University of Georgia, Athens, GA, United States.
Front Neurosci ; 14: 622137, 2020.
Article in En | MEDLINE | ID: mdl-33510616
ABSTRACT
Brain organoids, or cerebral organoids, have become widely used to study the human brain in vitro. As pluripotent stem cell-derived structures capable of self-organization and recapitulation of physiological cell types and architecture, brain organoids bridge the gap between relatively simple two-dimensional human cell cultures and non-human animal models. This allows for high complexity and physiological relevance in a controlled in vitro setting, opening the door for a variety of applications including development and disease modeling and high-throughput screening. While technologies such as single cell sequencing have led to significant advances in brain organoid characterization and understanding, improved functional analysis (especially electrophysiology) is needed to realize the full potential of brain organoids. In this review, we highlight key technologies for brain organoid development and characterization, then discuss current electrophysiological methods for brain organoid analysis. While electrophysiological approaches have improved rapidly for two-dimensional cultures, only in the past several years have advances been made to overcome limitations posed by the three-dimensionality of brain organoids. Here, we review major advances in electrophysiological technologies and analytical methods with a focus on advances with applicability for brain organoid analysis.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neurosci Year: 2020 Document type: Article Affiliation country: United States Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Front Neurosci Year: 2020 Document type: Article Affiliation country: United States Publication country: CH / SUIZA / SUÍÇA / SWITZERLAND