Release Date: 2019-11-05
Publication DOI: 10.1038/s41467-019-13058-9
Data DOI: 10.17867/10000129
License: CC BY-NC 4.0
PubMed ID: 31723137
PMC ID: PMC6853941
External URL: https://github.com/mcaldera/Perturbome
External URL: https://tinyurl.com/y22ep2em
We used high-content screening and image analysis to measure the effect of 267 well described drugs as well as all possible 35,511 pairwise combinations. We applied a novel mathematical framework that uses the complex high-dimensional morphological space of drug induced phenotypes, to detect 1832 interactions between two drug perturbations. In contrast to previous methodologies our novel framework not only detects the type of interaction (e.g. positive/negative) but also its directionality. Subsequent analysis of the chemical and biological features of the drug compounds reveals distinct molecular fingerprints for each interaction type.
Caldera M, Müller F, Kaltenbrunner I, Licciardello MP, Lardeau C, Kubicek S, Menche J
idr0069-caldera-perturbome/screenA ()
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Sample Type: cell
Organism: Homo sapiens
Study Type: high content screen
Screen Type: primary screen
Screen Technology Type: compound screen
Imaging Method: fluorescence microscopy
Copyright: Caldera et al.
Data Publisher: University of Dundee
Annotation File: idr0069-screenA-annotation.csv.gz
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