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Organoids in image-based phenotypic chemical screens

Ilya Lukonin, Marietta Zinner, Prisca Liberali

2021Experimental & Molecular Medicine98 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

OrganoidHigh-content screeningPhenotypic screeningComputational biologyPhenotypeComputer scienceBiologyCellCell biologyGeneticsGeneCell Image Analysis Techniques3D Printing in Biomedical ResearchCancer Cells and Metastasis