High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells

We present a high-content screening (HCS) protocol for quantifying mitochondrial activity in live neural cells from human induced pluripotent stem cells (iPSCs). The assessment is based on mitochondrial membrane potential, which is influenced by the efficiency of mitochondrial bioenergetics. We desc...

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Detalles Bibliográficos
Autores principales: Zink, Annika, Haferkamp, Undine, Wittich, Annika, Beller, Mathias, Pless, Ole, Prigione, Alessandro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361325/
https://www.ncbi.nlm.nih.gov/pubmed/35959496
http://dx.doi.org/10.1016/j.xpro.2022.101602
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author Zink, Annika
Haferkamp, Undine
Wittich, Annika
Beller, Mathias
Pless, Ole
Prigione, Alessandro
author_facet Zink, Annika
Haferkamp, Undine
Wittich, Annika
Beller, Mathias
Pless, Ole
Prigione, Alessandro
author_sort Zink, Annika
collection PubMed
description We present a high-content screening (HCS) protocol for quantifying mitochondrial activity in live neural cells from human induced pluripotent stem cells (iPSCs). The assessment is based on mitochondrial membrane potential, which is influenced by the efficiency of mitochondrial bioenergetics. We describe how to perform the analysis using both an HCS platform and the open-source software CellProfiler. The protocol can identify the mitochondrial fitness of human neurons and may be used to carry out high-throughput compound screenings in patient-derived neural cells. For complete details on the use and execution of this protocol, please refer to Lorenz et al. (2017) and Zink et al. (2020).
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spelling pubmed-93613252022-08-10 High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells Zink, Annika Haferkamp, Undine Wittich, Annika Beller, Mathias Pless, Ole Prigione, Alessandro STAR Protoc Protocol We present a high-content screening (HCS) protocol for quantifying mitochondrial activity in live neural cells from human induced pluripotent stem cells (iPSCs). The assessment is based on mitochondrial membrane potential, which is influenced by the efficiency of mitochondrial bioenergetics. We describe how to perform the analysis using both an HCS platform and the open-source software CellProfiler. The protocol can identify the mitochondrial fitness of human neurons and may be used to carry out high-throughput compound screenings in patient-derived neural cells. For complete details on the use and execution of this protocol, please refer to Lorenz et al. (2017) and Zink et al. (2020). Elsevier 2022-08-05 /pmc/articles/PMC9361325/ /pubmed/35959496 http://dx.doi.org/10.1016/j.xpro.2022.101602 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
Zink, Annika
Haferkamp, Undine
Wittich, Annika
Beller, Mathias
Pless, Ole
Prigione, Alessandro
High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title_full High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title_fullStr High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title_full_unstemmed High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title_short High-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
title_sort high-content screening of mitochondrial polarization in neural cells derived from human pluripotent stem cells
topic Protocol
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9361325/
https://www.ncbi.nlm.nih.gov/pubmed/35959496
http://dx.doi.org/10.1016/j.xpro.2022.101602
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