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Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays
Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the extracellular electric potential of cell cultures or tissues and enable the recording of neuronal network activity. MEAs ha...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750870/ https://www.ncbi.nlm.nih.gov/pubmed/35011667 http://dx.doi.org/10.3390/cells11010106 |
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author | Pelkonen, Anssi Pistono, Cristiana Klecki, Pamela Gómez-Budia, Mireia Dougalis, Antonios Konttinen, Henna Stanová, Iveta Fagerlund, Ilkka Leinonen, Ville Korhonen, Paula Malm, Tarja |
author_facet | Pelkonen, Anssi Pistono, Cristiana Klecki, Pamela Gómez-Budia, Mireia Dougalis, Antonios Konttinen, Henna Stanová, Iveta Fagerlund, Ilkka Leinonen, Ville Korhonen, Paula Malm, Tarja |
author_sort | Pelkonen, Anssi |
collection | PubMed |
description | Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the extracellular electric potential of cell cultures or tissues and enable the recording of neuronal network activity. MEAs have been applied to both human subjects and hPSC-derived brain models. Here, we review the literature on the functional characterization of hPSC-derived two- and three-dimensional brain models with MEAs and examine their network function in physiological and pathological contexts. We also summarize MEA results from the human brain and compare them to the literature on MEA recordings of hPSC-derived brain models. MEA recordings have shown network activity in two-dimensional hPSC-derived brain models that is comparable to the human brain and revealed pathology-associated changes in disease models. Three-dimensional hPSC-derived models such as brain organoids possess a more relevant microenvironment, tissue architecture and potential for modeling the network activity with more complexity than two-dimensional models. hPSC-derived brain models recapitulate many aspects of network function in the human brain and provide valid disease models, but certain advancements in differentiation methods, bioengineering and available MEA technology are needed for these approaches to reach their full potential. |
format | Online Article Text |
id | pubmed-8750870 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87508702022-01-12 Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays Pelkonen, Anssi Pistono, Cristiana Klecki, Pamela Gómez-Budia, Mireia Dougalis, Antonios Konttinen, Henna Stanová, Iveta Fagerlund, Ilkka Leinonen, Ville Korhonen, Paula Malm, Tarja Cells Review Human pluripotent stem cell (hPSC)-derived neuron cultures have emerged as models of electrical activity in the human brain. Microelectrode arrays (MEAs) measure changes in the extracellular electric potential of cell cultures or tissues and enable the recording of neuronal network activity. MEAs have been applied to both human subjects and hPSC-derived brain models. Here, we review the literature on the functional characterization of hPSC-derived two- and three-dimensional brain models with MEAs and examine their network function in physiological and pathological contexts. We also summarize MEA results from the human brain and compare them to the literature on MEA recordings of hPSC-derived brain models. MEA recordings have shown network activity in two-dimensional hPSC-derived brain models that is comparable to the human brain and revealed pathology-associated changes in disease models. Three-dimensional hPSC-derived models such as brain organoids possess a more relevant microenvironment, tissue architecture and potential for modeling the network activity with more complexity than two-dimensional models. hPSC-derived brain models recapitulate many aspects of network function in the human brain and provide valid disease models, but certain advancements in differentiation methods, bioengineering and available MEA technology are needed for these approaches to reach their full potential. MDPI 2021-12-29 /pmc/articles/PMC8750870/ /pubmed/35011667 http://dx.doi.org/10.3390/cells11010106 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Pelkonen, Anssi Pistono, Cristiana Klecki, Pamela Gómez-Budia, Mireia Dougalis, Antonios Konttinen, Henna Stanová, Iveta Fagerlund, Ilkka Leinonen, Ville Korhonen, Paula Malm, Tarja Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title | Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title_full | Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title_fullStr | Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title_full_unstemmed | Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title_short | Functional Characterization of Human Pluripotent Stem Cell-Derived Models of the Brain with Microelectrode Arrays |
title_sort | functional characterization of human pluripotent stem cell-derived models of the brain with microelectrode arrays |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8750870/ https://www.ncbi.nlm.nih.gov/pubmed/35011667 http://dx.doi.org/10.3390/cells11010106 |
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