Omnisphero: a high-content image analysis (HCA) approach for phenotypic developmental neurotoxicity (DNT) screenings of organoid neurosphere cultures in vitro

Current developmental neurotoxicity (DNT) testing in animals faces major limitations, such as high cost and time demands as well as uncertainties in their methodology, evaluation and regulation. Therefore, the use of human-based 3D in vitro systems in combination with high-content image analysis (HC...

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Bibliographic Details
Published in:	Archives of toxicology Vol. 91; no. 4; pp. 2017 - 2028
Main Authors:	Schmuck, Martin R., Temme, Thomas, Dach, Katharina, de Boer, Denise, Barenys, Marta, Bendt, Farina, Mosig, Axel, Fritsche, Ellen
Format:	Journal Article
Language:	English
Published:	Berlin/Heidelberg Springer Berlin Heidelberg 01-04-2017 Springer Nature B.V
Subjects:	Analysis Animal Testing Alternatives Biomedical and Life Sciences Biomedicine Cell adhesion & migration Cell Culture Techniques Cell Differentiation - drug effects Cell Movement - drug effects Cells, Cultured Environmental Health Genotype & phenotype Humans Imaging, Three-Dimensional - methods Neural Stem Cells - drug effects Neural Stem Cells - pathology Neurotoxicity Neurotoxicity Syndromes - etiology Occupational Medicine/Industrial Medicine Organoids - drug effects Organoids - pathology Pharmacology/Toxicology Protocols Toxicity Tests - methods Neuronal identification Developmental neurotoxicity (DNT) Migration Neurite outgrowth Neurospheres High-content image analysis (HCA)
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Summary:	Current developmental neurotoxicity (DNT) testing in animals faces major limitations, such as high cost and time demands as well as uncertainties in their methodology, evaluation and regulation. Therefore, the use of human-based 3D in vitro systems in combination with high-content image analysis (HCA) might contribute to DNT testing with lower costs, increased throughput and enhanced predictivity for human hazard identification. Human neural progenitor cells (hNPCs) grown as 3D neurospheres mimic basic processes of brain development including hNPC migration and differentiation and are therefore useful for DNT hazard identification. HCA of migrated neurospheres creates new challenges for automated evaluations because it encompasses variable cell densities, inconsistent z -layers and heterogeneous cell populations. We tackle those challenges with our Omnisphero software, which assesses multiple endpoints of the ‘Neurosphere Assay.’ For neuronal identification, Omnisphero reaches a true positive rate (TPR) of 83.8 % and a false discovery rate (FDR) of 11.4 %, thus being comparable to the interindividual difference among two researchers (TPR = 94.3, FDR = 11.0 %) and largely improving the results obtained by an existing HCA approach, whose TPR does not exceed 50 % at a FDR above 50 %. The high FDR of existing methods results in incorrect measurements of neuronal morphological features accompanied by an overestimation of compound effects. Omnisphero additionally includes novel algorithms to assess ‘neurosphere-specific’ endpoints like radial migration and neuronal density distribution within the migration area. Furthermore, a user-assisted parameter optimization procedure makes Omnisphero accessible to non-expert end users.
Bibliography:	ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23
ISSN:	0340-5761 1432-0738
DOI:	10.1007/s00204-016-1852-2