Genome-scale regression analysis reveals a linear relationship for promoters and enhancers after combinatorial drug treatment.

ABSTRACT:

Motivation

Drug combination therapy for treatment of cancers and other multifactorial diseases has the potential of increasing the therapeutic effect, while reducing the likelihood of drug resistance. In order to reduce time and cost spent in comprehensive screens, methods are needed which can model additive effects of possible drug combinations.

Results

We here show that the transcriptional response to combinatorial drug treatment at promoters, as measured by single molecule CAGE technology, is accurately described by a linear combination of the responses of the individual drugs at a genome wide scale. We also find that the same linear relationship holds for transcription at enhancer elements. We conclude that the described approach is promising for eliciting the transcript

SUBMITTER: Rapakoulia T 

PROVIDER: S-EPMC5860321 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature