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Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics

Neuronal networks derived from human induced pluripotent stem cells have been exploited widely for modeling neuronal circuits, neurological diseases, and drug screening. As these networks require extended culturing periods to functionally mature in vitro, most studies are based on immature networks....

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Autores principales: Schmieder, Felix, Habibey, Rouhollah, Striebel, Johannes, Büttner, Lars, Czarske, Jürgen, Busskamp, Volker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Life Science Alliance LLC 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008225/
https://www.ncbi.nlm.nih.gov/pubmed/35418473
http://dx.doi.org/10.26508/lsa.202101268
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author Schmieder, Felix
Habibey, Rouhollah
Striebel, Johannes
Büttner, Lars
Czarske, Jürgen
Busskamp, Volker
author_facet Schmieder, Felix
Habibey, Rouhollah
Striebel, Johannes
Büttner, Lars
Czarske, Jürgen
Busskamp, Volker
author_sort Schmieder, Felix
collection PubMed
description Neuronal networks derived from human induced pluripotent stem cells have been exploited widely for modeling neuronal circuits, neurological diseases, and drug screening. As these networks require extended culturing periods to functionally mature in vitro, most studies are based on immature networks. To obtain insights on long-term functional features, we improved a glia–neuron co-culture protocol within multi-electrode arrays, facilitating continuous assessment of electrical features in weekly intervals. By full-field optogenetic stimulation, we detected an earlier onset of neuronal firing and burst activity compared with spontaneous activity. Full-field stimulation enhanced the number of active neurons and their firing rates. Compared with full-field stimulation, which evoked synchronized activity across all neurons, holographic stimulation of individual neurons resulted in local activity. Single-cell holographic stimulation facilitated to trace propagating evoked activities of 400 individually stimulated neurons per multi-electrode array. Thereby, we revealed precise functional neuronal connectivity motifs. Holographic stimulation data over time showed increasing connection numbers and strength with culture age. This holographic stimulation setup has the potential to establish a profound functional testbed for in-depth analysis of human-induced pluripotent stem cell-derived neuronal networks.
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spelling pubmed-90082252022-05-03 Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics Schmieder, Felix Habibey, Rouhollah Striebel, Johannes Büttner, Lars Czarske, Jürgen Busskamp, Volker Life Sci Alliance Methods Neuronal networks derived from human induced pluripotent stem cells have been exploited widely for modeling neuronal circuits, neurological diseases, and drug screening. As these networks require extended culturing periods to functionally mature in vitro, most studies are based on immature networks. To obtain insights on long-term functional features, we improved a glia–neuron co-culture protocol within multi-electrode arrays, facilitating continuous assessment of electrical features in weekly intervals. By full-field optogenetic stimulation, we detected an earlier onset of neuronal firing and burst activity compared with spontaneous activity. Full-field stimulation enhanced the number of active neurons and their firing rates. Compared with full-field stimulation, which evoked synchronized activity across all neurons, holographic stimulation of individual neurons resulted in local activity. Single-cell holographic stimulation facilitated to trace propagating evoked activities of 400 individually stimulated neurons per multi-electrode array. Thereby, we revealed precise functional neuronal connectivity motifs. Holographic stimulation data over time showed increasing connection numbers and strength with culture age. This holographic stimulation setup has the potential to establish a profound functional testbed for in-depth analysis of human-induced pluripotent stem cell-derived neuronal networks. Life Science Alliance LLC 2022-04-13 /pmc/articles/PMC9008225/ /pubmed/35418473 http://dx.doi.org/10.26508/lsa.202101268 Text en © 2022 Schmieder et al. https://creativecommons.org/licenses/by/4.0/This article is available under a Creative Commons License (Attribution 4.0 International, as described at https://creativecommons.org/licenses/by/4.0/).
spellingShingle Methods
Schmieder, Felix
Habibey, Rouhollah
Striebel, Johannes
Büttner, Lars
Czarske, Jürgen
Busskamp, Volker
Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title_full Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title_fullStr Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title_full_unstemmed Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title_short Tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
title_sort tracking connectivity maps in human stem cell–derived neuronal networks by holographic optogenetics
topic Methods
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9008225/
https://www.ncbi.nlm.nih.gov/pubmed/35418473
http://dx.doi.org/10.26508/lsa.202101268
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