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High-content analysis of neuronal morphology in human iPSC-derived neurons

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Item Type:Article
Title:High-content analysis of neuronal morphology in human iPSC-derived neurons
Creators Name:Lickfett, S. and Menacho, C. and Zink, A. and Telugu, N.S. and Beller, M. and Diecke, S. and Cambridge, S. and Prigione, A.
Abstract: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).
Keywords:High Throughput Screening, Microscopy, Neuroscience, Stem Cells, Cell Differentiation
Source:STAR Protocols
ISSN:2666-1667
Publisher:Cell Press / Elsevier
Volume:3
Number:3
Page Range:101567
Date:16 September 2022
Official Publication:http://doi.org/10.1016/j.xpro.2022.101567
PubMed:View item in PubMed

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