Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders
In vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derive...
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| Format: | Article |
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MDPI AG
2022-02-01
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| Series: | Biology |
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| Online Access: | https://www.mdpi.com/2079-7737/11/2/316 |
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| author | Fraser P. McCready Sara Gordillo-Sampedro Kartik Pradeepan Julio Martinez-Trujillo James Ellis |
| author_facet | Fraser P. McCready Sara Gordillo-Sampedro Kartik Pradeepan Julio Martinez-Trujillo James Ellis |
| author_sort | Fraser P. McCready |
| collection | DOAJ |
| description | In vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derived neurons, the downstream analysis and interpretation of such high-dimensional data often pose a significant challenge to researchers. In this review, we examine how MEA technology is currently deployed in iPSC modeling studies of neurodevelopmental disorders. We first highlight the strengths of in vitro MEA technology by reviewing the history of its development and the original scientific questions MEAs were intended to answer. Methods of generating patient iPSC-derived neurons and astrocytes for MEA co-cultures are summarized. We then discuss challenges associated with MEA data analysis in a disease modeling context, and present novel computational methods used to better interpret network phenotyping data. We end by suggesting best practices for presenting MEA data in research publications, and propose that the creation of a public MEA data repository to enable collaborative data sharing would be of great benefit to the iPSC disease modeling community. |
| first_indexed | 2024-03-09T22:33:59Z |
| format | Article |
| id | doaj.art-91483c8d96d74c27b01c34ebc9f98381 |
| institution | Directory Open Access Journal |
| issn | 2079-7737 |
| language | English |
| last_indexed | 2024-03-09T22:33:59Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biology |
| spelling | doaj.art-91483c8d96d74c27b01c34ebc9f983812023-11-23T18:51:22ZengMDPI AGBiology2079-77372022-02-0111231610.3390/biology11020316Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental DisordersFraser P. McCready0Sara Gordillo-Sampedro1Kartik Pradeepan2Julio Martinez-Trujillo3James Ellis4Department of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, CanadaDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, CanadaDepartment of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, CanadaDepartment of Physiology and Pharmacology, Department of Psychiatry, Robarts Research and Brain and Mind Institutes, Schulich School of Medicine and Dentistry, Western University, London, ON N6A 5B7, CanadaDepartment of Molecular Genetics, University of Toronto, Toronto, ON M5S 1A8, CanadaIn vitro multielectrode array (MEA) systems are increasingly used as higher-throughput platforms for functional phenotyping studies of neurons in induced pluripotent stem cell (iPSC) disease models. While MEA systems generate large amounts of spatiotemporal activity data from networks of iPSC-derived neurons, the downstream analysis and interpretation of such high-dimensional data often pose a significant challenge to researchers. In this review, we examine how MEA technology is currently deployed in iPSC modeling studies of neurodevelopmental disorders. We first highlight the strengths of in vitro MEA technology by reviewing the history of its development and the original scientific questions MEAs were intended to answer. Methods of generating patient iPSC-derived neurons and astrocytes for MEA co-cultures are summarized. We then discuss challenges associated with MEA data analysis in a disease modeling context, and present novel computational methods used to better interpret network phenotyping data. We end by suggesting best practices for presenting MEA data in research publications, and propose that the creation of a public MEA data repository to enable collaborative data sharing would be of great benefit to the iPSC disease modeling community.https://www.mdpi.com/2079-7737/11/2/316neurodevelopmental disordersmultielectrode arraysinduced pluripotent stem cellsneuronsastrocytes |
| spellingShingle | Fraser P. McCready Sara Gordillo-Sampedro Kartik Pradeepan Julio Martinez-Trujillo James Ellis Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders Biology neurodevelopmental disorders multielectrode arrays induced pluripotent stem cells neurons astrocytes |
| title | Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders |
| title_full | Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders |
| title_fullStr | Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders |
| title_full_unstemmed | Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders |
| title_short | Multielectrode Arrays for Functional Phenotyping of Neurons from Induced Pluripotent Stem Cell Models of Neurodevelopmental Disorders |
| title_sort | multielectrode arrays for functional phenotyping of neurons from induced pluripotent stem cell models of neurodevelopmental disorders |
| topic | neurodevelopmental disorders multielectrode arrays induced pluripotent stem cells neurons astrocytes |
| url | https://www.mdpi.com/2079-7737/11/2/316 |
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