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High-content analysis of neuronal morphology in human iPSC-derived neurons
We present a high-content analysis (HCA) protocol for monitoring the outgrowth capacity of human neurons derived from induced pluripotent stem cells (iPSCs). We describe steps to perform HCA imaging, followed by quantifying the morphology of dendrites and axons within a high-throughput system to eva...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386098/ https://www.ncbi.nlm.nih.gov/pubmed/35990743 http://dx.doi.org/10.1016/j.xpro.2022.101567 |
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author | Lickfett, Selene Menacho, Carmen Zink, Annika Telugu, Narasimha Swamy Beller, Mathias Diecke, Sebastian Cambridge, Sidney Prigione, Alessandro |
author_facet | Lickfett, Selene Menacho, Carmen Zink, Annika Telugu, Narasimha Swamy Beller, Mathias Diecke, Sebastian Cambridge, Sidney Prigione, Alessandro |
author_sort | Lickfett, Selene |
collection | PubMed |
description | We present a high-content analysis (HCA) protocol for monitoring the outgrowth capacity of human neurons derived from induced pluripotent stem cells (iPSCs). We describe steps to perform HCA imaging, followed by quantifying the morphology of dendrites and axons within a high-throughput system to evaluate neurons obtained through various differentiation approaches. This protocol can be used to screen for modulators of neuronal morphogenesis or neurotoxicity. The approach can be applied to patient-derived iPSCs to identify patient-specific defects and possible therapeutic strategies. For complete details on the use and execution of this protocol, please refer to Zink et al. (2020) and Inak et al. (2021). The protocol can be used in combination with Zink et al. (2022). |
format | Online Article Text |
id | pubmed-9386098 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-93860982022-08-19 High-content analysis of neuronal morphology in human iPSC-derived neurons Lickfett, Selene Menacho, Carmen Zink, Annika Telugu, Narasimha Swamy Beller, Mathias Diecke, Sebastian Cambridge, Sidney Prigione, Alessandro STAR Protoc Protocol We present a high-content analysis (HCA) protocol for monitoring the outgrowth capacity of human neurons derived from induced pluripotent stem cells (iPSCs). We describe steps to perform HCA imaging, followed by quantifying the morphology of dendrites and axons within a high-throughput system to evaluate neurons obtained through various differentiation approaches. This protocol can be used to screen for modulators of neuronal morphogenesis or neurotoxicity. The approach can be applied to patient-derived iPSCs to identify patient-specific defects and possible therapeutic strategies. For complete details on the use and execution of this protocol, please refer to Zink et al. (2020) and Inak et al. (2021). The protocol can be used in combination with Zink et al. (2022). Elsevier 2022-08-06 /pmc/articles/PMC9386098/ /pubmed/35990743 http://dx.doi.org/10.1016/j.xpro.2022.101567 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Protocol Lickfett, Selene Menacho, Carmen Zink, Annika Telugu, Narasimha Swamy Beller, Mathias Diecke, Sebastian Cambridge, Sidney Prigione, Alessandro High-content analysis of neuronal morphology in human iPSC-derived neurons |
title | High-content analysis of neuronal morphology in human iPSC-derived neurons |
title_full | High-content analysis of neuronal morphology in human iPSC-derived neurons |
title_fullStr | High-content analysis of neuronal morphology in human iPSC-derived neurons |
title_full_unstemmed | High-content analysis of neuronal morphology in human iPSC-derived neurons |
title_short | High-content analysis of neuronal morphology in human iPSC-derived neurons |
title_sort | high-content analysis of neuronal morphology in human ipsc-derived neurons |
topic | Protocol |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9386098/ https://www.ncbi.nlm.nih.gov/pubmed/35990743 http://dx.doi.org/10.1016/j.xpro.2022.101567 |
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