Morphological profiling data resource enables prediction of chemical compound properties
Morphological profiling with the Cell Painting assay has emerged as a promising method in drug discovery research. The assay captures morphological changes across various cellular compartments enabling the rapid prediction of compound bioactivity. We present a comprehensive morphological profiling resource using the carefully curated and well-annotated EU-OPENSCREEN Bioactive compounds. The data were generated across four imaging sites with high-throughput confocal microscopes using the Hep G2 as well as the U2 OS cell lines. We employed an extensive assay optimization process to achieve high data quality across the different sites. An analysis of the extracted profiles validates the robustness of the generated data. We used this resource to compare the morphological features of the different cell lines. By correlating the profiles with overall activity, cellular toxicity, several specific mechanisms of action (MOAs), and protein targets, we demonstrate the dataset's potential for facilitating more extensive exploration of MOAs.
Authors
- Marián Hajdúch (ORCID: https://orcid.org/0000-0002-4834-908X)
- Handong Sun (ORCID: https://orcid.org/0000-0002-2261-7103)
- Divya Sitani (ORCID: https://orcid.org/0000-0001-5138-6108)
- Alžběta Srovnalová
- Petr Džubák (ORCID: https://orcid.org/0000-0002-3098-5969)
- Christopher Schmied (ORCID: https://orcid.org/0000-0003-2058-1124)
- María José Varela (ORCID: https://orcid.org/0000-0002-2340-3481)
- Olga Genilloud (ORCID: https://orcid.org/0000-0002-4202-1219)
- Christopher Wolff (ORCID: https://orcid.org/0000-0002-2289-4637)
- María C. Ramos (ORCID: https://orcid.org/0000-0002-3674-615X)
- Jose Manuel Brea (ORCID: https://orcid.org/0000-0002-5523-1979)
- Rosario Fernández‐Godino (ORCID: https://orcid.org/0000-0002-8831-7189)
- Marı́a Isabel Loza (ORCID: https://orcid.org/0000-0003-4730-0863)
- Martin Lehmann (ORCID: https://orcid.org/0000-0002-8370-6353)
- Mads H. Clausen (ORCID: https://orcid.org/0000-0001-9649-1729)
- Jens Peter von Kries (ORCID: https://orcid.org/0000-0003-4716-4988)
- Ctibor Škuta (ORCID: https://orcid.org/0000-0001-5325-4934)
- Katholiki Skopelitou
- Pavel Polishchuk (ORCID: https://orcid.org/0000-0001-5088-8149)
- Bahne Stechmann (ORCID: https://orcid.org/0000-0003-2759-5924)
- Carsten Jörn Beese (ORCID: https://orcid.org/0000-0002-0437-6764)
- Martin Neuenschwander (ORCID: https://orcid.org/0000-0002-3114-7975)
Institutions
- Czech Academy of Sciences (CZ)
- Robert Koch Institute (DE)
- Leibniz-Forschungsinstitut für Molekulare Pharmakologie (DE)
- Institute of Molecular Genetics (RU)
- Fundación Medina (ES)
- Institute of Molecular and Translational Medicine (CZ)
- Instituto de Investigación Sanitaria de Santiago (ES)
- Forschungsverbund Berlin (DE)
- Palacký University Olomouc (CZ)
Publication Details
- Journal
- iScience
- Published
- 2025-04-17
- DOI
- https://doi.org/10.1016/j.isci.2025.112445
- Citations
- 8
- Primary Topic
- Cell Image Analysis Techniques
- Type
- article
- Field-Weighted Citation Impact
- 13.07
Funders
- Ministerstvo Školství, Mládeže a Tělovýchovy
- Bundesministerium für Bildung und Forschung
- HORIZON EUROPE Framework Programme