bioRxivBioinformaticsPreprint
Gene-signatures predict biologically relevant dose-response potencies in phenotypic assays
Steffen RenneriD, Christian Bergsdorf, Rochdi Bouhelal, Magdalena Koziczak‐Holbro, Andrea Marco AmatiiD, Valerie Techer-Etienne, Ludivine FlotteiD, Nicole Reymann, Karen KapuriD, Sebastian Hoersch, Edward J. OakeleyiD, Ansgar SchuffenhaueriD, Hanspeter Gubler, Eugen LounkineiD, Pierre J. Farmer
Abstract
Multiplexed gene-signature-based phenotypic assays are increasingly used for the identification and profiling of small molecule-tool compounds and drugs. Here we introduce a method (provided as R-package) for the quantification of the dose-response potency of a gene-signature as EC50 and IC50 values.\n\nTwo signaling pathways were used as models to validate our methods: beta-adrenergic agonistic activity on cAMP generation (dedicated dataset generated for this study) and EGFR inhibitory effect on cancer cell viability. In both cases, potencies derived from multi-gene expression data were highly correlated with orthogonal potencies derived from cAMP and cell growth readouts, and superior to potencies derived from single individual genes.\n\nOur results show that gene-signature potencies are a novel valid alternative to conventional readouts for compound potency quantification, in particular in scenarios where no other established readouts are available.
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: drug response / drug discovery
- research focus: benchmarking
- approach: statistical model
- Citations
- 0
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