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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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602900/ https://www.ncbi.nlm.nih.gov/pubmed/36610640 http://dx.doi.org/10.1016/j.slasd.2022.12.002 |
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author | Papandreou, Apostolos Luft, Christin Barral, Serena Kriston-Vizi, Janos Kurian, Manju A Ketteler, Robin |
author_facet | Papandreou, Apostolos Luft, Christin Barral, Serena Kriston-Vizi, Janos Kurian, Manju A Ketteler, Robin |
author_sort | Papandreou, Apostolos |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-10602900 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-106029002023-10-28 Automated high-content imaging in iPSC-derived neuronal progenitors Papandreou, Apostolos Luft, Christin Barral, Serena Kriston-Vizi, Janos Kurian, Manju A Ketteler, Robin SLAS Discov Article 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. SAGE Publications 2023-03 /pmc/articles/PMC10602900/ /pubmed/36610640 http://dx.doi.org/10.1016/j.slasd.2022.12.002 Text en © 2023 The Authors. Published by Elsevier Inc. on behalf of Society for Laboratory Automation and Screening. https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Papandreou, Apostolos Luft, Christin Barral, Serena Kriston-Vizi, Janos Kurian, Manju A Ketteler, Robin Automated high-content imaging in iPSC-derived neuronal progenitors |
title | Automated high-content imaging in iPSC-derived neuronal progenitors |
title_full | Automated high-content imaging in iPSC-derived neuronal progenitors |
title_fullStr | Automated high-content imaging in iPSC-derived neuronal progenitors |
title_full_unstemmed | Automated high-content imaging in iPSC-derived neuronal progenitors |
title_short | Automated high-content imaging in iPSC-derived neuronal progenitors |
title_sort | automated high-content imaging in ipsc-derived neuronal progenitors |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10602900/ https://www.ncbi.nlm.nih.gov/pubmed/36610640 http://dx.doi.org/10.1016/j.slasd.2022.12.002 |
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