Browse views: by Year, by Function, by GLF, by Subfunction, by Conference, by Journal

Linking phenotypes and modes of action through high-content screen fingerprints

Reisen, Felix, Sauty De Chalon, Amelie, Zhang, Xian, Gabriel, Daniela and Selzer, Paul (2015) Linking phenotypes and modes of action through high-content screen fingerprints. Assay and Drug Development Technologies, 13 (7). pp. 415-427. ISSN 1540-658X1557-8127


High content screening (HCS) is a powerful technique for monitoring phenotypic responses to treatments on a cellular and sub-cellular level. Cellular phenotypes can be characterized by multivariate image readouts such as shape, intensity or texture. The corresponding feature vectors can thus be defined as HCS-fingerprints that serve as a powerful biological compound descriptor. Therefore clustering or classification of HCS-fingerprints across compound treatments allows for the identification of similarities in protein targets or pathways. We developed an HCS¬-based profiling panel that serves as basis for characterizing the mode of action of compounds. This panel measures phenotypic effects in six different compartments of U2-OS cells, namely the nucleus, the cytoplasm, the endoplasmic reticulum, the Golgi apparatus and the cytoskeleton. We profiled a set of 2’725 well-annotated compounds and clustered their corresponding HCS-fingerprints to establish links between predominant cellular phenotypes and cellular processes and protein targets. We found various different clusters enriched for individual targets (e.g. HDAC, HSP90, TOP1, HMGCR, TUB), signaling pathways (e.g. PIK3/AKT/mTOR), or gene sets associated with diseases (e.g. psoriasis, leukemia). Based on this clustering we were able to identify novel compound target associations for selected compounds such as a sub micromolar inhibitory activity of Silmitasertib (a Casein Kinase inhibitor) on PI3K and mTOR.

Item Type: Article
Keywords: phenotypic screening, high content imaging, modes of action, target hypothesis
Date Deposited: 14 Jun 2016 23:45
Last Modified: 04 Jul 2016 23:45


Email Alerts

Register with OAK to receive email alerts for saved searches.