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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-03-01
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| Series: | SLAS Discovery |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2472555222137159 |
| _version_ | 1811158457092407296 |
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| author | Apostolos Papandreou Christin Luft Serena Barral Janos Kriston-Vizi Manju A Kurian Robin Ketteler |
| author_facet | Apostolos Papandreou Christin Luft Serena Barral Janos Kriston-Vizi Manju A Kurian Robin Ketteler |
| author_sort | Apostolos Papandreou |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-10T05:23:54Z |
| format | Article |
| id | doaj.art-a07354f35b63415496a35682c1312789 |
| institution | Directory Open Access Journal |
| issn | 2472-5552 |
| language | English |
| last_indexed | 2024-04-10T05:23:54Z |
| publishDate | 2023-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SLAS Discovery |
| spelling | doaj.art-a07354f35b63415496a35682c13127892023-03-08T04:14:56ZengElsevierSLAS Discovery2472-55522023-03-012824251Automated high-content imaging in iPSC-derived neuronal progenitorsApostolos Papandreou0Christin Luft1Serena Barral2Janos Kriston-Vizi3Manju A Kurian4Robin Ketteler5University College London MRC Laboratory for Molecular Cell Biology, London, UK; Developmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UKUniversity College London MRC Laboratory for Molecular Cell Biology, London, UKDevelopmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UKUniversity College London MRC Laboratory for Molecular Cell Biology, London, UKDevelopmental Neurosciences, Zayed Centre for Research into Rare Disease in Children, University College London Great Ormond Street Institute of Child Health, London, UKUniversity College London MRC Laboratory for Molecular Cell Biology, London, UKInduced 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.http://www.sciencedirect.com/science/article/pii/S2472555222137159High-content screeningLab automationNeuronsImmunofluorescenceMulti-well platesImage analysis |
| spellingShingle | Apostolos Papandreou Christin Luft Serena Barral Janos Kriston-Vizi Manju A Kurian Robin Ketteler Automated high-content imaging in iPSC-derived neuronal progenitors SLAS Discovery High-content screening Lab automation Neurons Immunofluorescence Multi-well plates Image analysis |
| 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 | High-content screening Lab automation Neurons Immunofluorescence Multi-well plates Image analysis |
| url | http://www.sciencedirect.com/science/article/pii/S2472555222137159 |
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