idr0069

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

Mapping the perturbome network of cellular perturbations

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

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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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