Automated high-content imaging in iPSC-derived neuronal progenitors

Induced pluripotent stem cells (iPSCs) have great potential as physiological disease models for human disorders where access to primary cells is difficult, such as neurons. In recent years, many protocols have been developed for the generation of iPSCs and the differentiation into specialised cell s...

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Bibliographic Details
Main Authors: Apostolos Papandreou, Christin Luft, Serena Barral, Janos Kriston-Vizi, Manju A Kurian, Robin Ketteler
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:SLAS Discovery
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2472555222137159
Description
Summary:Induced pluripotent stem cells (iPSCs) have great potential as physiological disease models for human disorders where access to primary cells is difficult, such as neurons. In recent years, many protocols have been developed for the generation of iPSCs and the differentiation into specialised cell subtypes of interest. More recently, these models have been modified to allow large-scale phenotyping and high-content screening of small molecule compounds in iPSC-derived neuronal cells. Here, we describe the automated seeding of day 11 ventral midbrain progenitor cells into 96-well plates, administration of compounds, automated staining for immunofluorescence, the acquisition of images on a high-content screening platform and workflows for image analysis.
ISSN:2472-5552