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Image-based annotation of chemogenomic libraries for phenotypic screening

  • Phenotypical screening is a widely used approach in drug discovery for the identification of small molecules with cellular activities. However, functional annotation of identified hits often poses a challenge. The development of small molecules with narrow or exclusive target selectivity such as chemical probes and chemogenomic (CG) libraries, greatly diminishes this challenge, but non-specific effects caused by compound toxicity or interference with basic cellular functions still pose a problem to associate phenotypic readouts with molecular targets. Hence, each compound should ideally be comprehensively characterized regarding its effects on general cell functions. Here, we report an optimized live-cell multiplexed assay that classifies cells based on nuclear morphology, presenting an excellent indicator for cellular responses such as early apoptosis and necrosis. This basic readout in combination with the detection of other general cell damaging activities of small molecules such as changes in cytoskeletal morphology, cell cycle and mitochondrial health provides a comprehensive time-dependent characterization of the effect of small molecules on cellular health in a single experiment. The developed high-content assay offers multi-dimensional comprehensive characterization that can be used to delineate generic effects regarding cell functions and cell viability, allowing an assessment of compound suitability for subsequent detailed phenotypic and mechanistic studies.

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Verfasserangaben:Amelie TjadenORCiD, Apirat ChaikuadORCiD, Eric KowarzORCiDGND, Rolf MarschalekORCiDGND, Stefan KnappORCiD, Martin SchröderORCiDGND, Susanne MüllerORCiD
URN:urn:nbn:de:hebis:30:3-795962
DOI:https://doi.org/10.3390/molecules27041439
ISSN:1420-3049
Titel des übergeordneten Werkes (Englisch):Molecules
Verlag:MDPI
Verlagsort:Basel
Dokumentart:Wissenschaftlicher Artikel
Sprache:Englisch
Datum der Veröffentlichung (online):21.02.2022
Datum der Erstveröffentlichung:21.02.2022
Veröffentlichende Institution:Universitätsbibliothek Johann Christian Senckenberg
Datum der Freischaltung:21.11.2023
Freies Schlagwort / Tag:cell cycle; chemogenomics; high content imaging; machine learning; phenotypic screening
Jahrgang:27
Ausgabe / Heft:4, art. 1439
Aufsatznummer:1439
Seitenzahl:21
Erste Seite:1
Letzte Seite:21
Bemerkung:
The authors received financial support for the research, authorship and publication of this article: All authors are supported by SGC, a registered charity (no. 1097737) that receives funds from Bayer AG, Boehringer Ingelheim, the Canada Foundation for Innovation, Eshelman Institute for Innovation, Genentech, Genome Canada through Ontario Genomics Institute [OGI-196], EU/EFPIA/OICR/McGill/KTH/Diamond, Innovative Medicines Initiative 2 Joint Undertaking [EUbOPEN grant 875510], Janssen, Merck KGaA (aka EMD in Canada and US), Pfizer, the Sao Paulo Research Foundation-FAPESP~ and Takeda as well as support from the German translational cancer network DKTK and the Frankfurt Cancer Institute (FCI). A.T. is supported by the SFB 1177 "Molecular and Functional Characterization of Selective Autophagy".
HeBIS-PPN:516701975
Institute:Biochemie, Chemie und Pharmazie
Fachübergreifende Einrichtungen / Buchmann Institut für Molekulare Lebenswissenschaften (BMLS)
DDC-Klassifikation:5 Naturwissenschaften und Mathematik / 54 Chemie / 540 Chemie und zugeordnete Wissenschaften
Sammlungen:Universitätspublikationen
Lizenz (Deutsch):License LogoCreative Commons - CC BY - Namensnennung 4.0 International