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Organoids in image-based phenotypic chemical screens

Image-based phenotypic screening relies on the extraction of multivariate information from cells cultured under a large variety of conditions. Technical advances in high-throughput microscopy enable screening in increasingly complex and biologically relevant model systems. To this end, organoids hol...

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Detalles Bibliográficos
Autores principales: Lukonin, Ilya, Zinner, Marietta, Liberali, Prisca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569209/
https://www.ncbi.nlm.nih.gov/pubmed/34663938
http://dx.doi.org/10.1038/s12276-021-00641-8
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author Lukonin, Ilya
Zinner, Marietta
Liberali, Prisca
author_facet Lukonin, Ilya
Zinner, Marietta
Liberali, Prisca
author_sort Lukonin, Ilya
collection PubMed
description Image-based phenotypic screening relies on the extraction of multivariate information from cells cultured under a large variety of conditions. Technical advances in high-throughput microscopy enable screening in increasingly complex and biologically relevant model systems. To this end, organoids hold great potential for high-content screening because they recapitulate many aspects of parent tissues and can be derived from patient material. However, screening is substantially more difficult in organoids than in classical cell lines from both technical and analytical standpoints. In this review, we present an overview of studies employing organoids for screening applications. We discuss the promises and challenges of small-molecule treatments in organoids and give practical advice on designing, running, and analyzing high-content organoid-based phenotypic screens.
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spelling pubmed-85692092021-11-17 Organoids in image-based phenotypic chemical screens Lukonin, Ilya Zinner, Marietta Liberali, Prisca Exp Mol Med Review Article Image-based phenotypic screening relies on the extraction of multivariate information from cells cultured under a large variety of conditions. Technical advances in high-throughput microscopy enable screening in increasingly complex and biologically relevant model systems. To this end, organoids hold great potential for high-content screening because they recapitulate many aspects of parent tissues and can be derived from patient material. However, screening is substantially more difficult in organoids than in classical cell lines from both technical and analytical standpoints. In this review, we present an overview of studies employing organoids for screening applications. We discuss the promises and challenges of small-molecule treatments in organoids and give practical advice on designing, running, and analyzing high-content organoid-based phenotypic screens. Nature Publishing Group UK 2021-10-18 /pmc/articles/PMC8569209/ /pubmed/34663938 http://dx.doi.org/10.1038/s12276-021-00641-8 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Lukonin, Ilya
Zinner, Marietta
Liberali, Prisca
Organoids in image-based phenotypic chemical screens
title Organoids in image-based phenotypic chemical screens
title_full Organoids in image-based phenotypic chemical screens
title_fullStr Organoids in image-based phenotypic chemical screens
title_full_unstemmed Organoids in image-based phenotypic chemical screens
title_short Organoids in image-based phenotypic chemical screens
title_sort organoids in image-based phenotypic chemical screens
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569209/
https://www.ncbi.nlm.nih.gov/pubmed/34663938
http://dx.doi.org/10.1038/s12276-021-00641-8
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