Tracking connectivity maps in human stem cell-derived neuronal networks by holographic optogenetics.
Journal
Life science alliance
ISSN: 2575-1077
Titre abrégé: Life Sci Alliance
Pays: United States
ID NLM: 101728869
Informations de publication
Date de publication:
07 2022
07 2022
Historique:
received:
21
10
2021
revised:
25
03
2022
accepted:
29
03
2022
entrez:
14
4
2022
pubmed:
15
4
2022
medline:
16
4
2022
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 35418473
pii: 5/7/e202101268
doi: 10.26508/lsa.202101268
pmc: PMC9008225
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2022 Schmieder et al.
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