CRUP: a comprehensive framework to predict condition-specific regulatory units.
Anna RamischVerena HeinrichLaura V GlaserAlisa FuchsXinyi YangPhilipp BennerRobert SchöpflinNa LiSarah KinkleyAnja Römer-HillmannJohn LonginottoSteffen HeyneBeate CzepukojcSonja M KesslerAlexandra K KiemerCristina CadenasLaura ArrigoniNina GasparoniThomas MankeThomas PapJohn A PospisilikJan HengstlerJörn WalterSebastiaan H MeijsingHo-Ryun ChungMartin VingronPublished in: Genome biology (2019)
We present the software Condition-specific Regulatory Units Prediction (CRUP) to infer from epigenetic marks a list of regulatory units consisting of dynamically changing enhancers with their target genes. The workflow consists of a novel pre-trained enhancer predictor that can be reliably applied across cell types and species, solely based on histone modification ChIP-seq data. Enhancers are subsequently assigned to different conditions and correlated with gene expression to derive regulatory units. We thoroughly test and then apply CRUP to a rheumatoid arthritis model, identifying enhancer-gene pairs comprising known disease genes as well as new candidate genes.