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CRUP: a comprehensive framework to predict condition-specific regulatory units.

Authors :
Ramisch A
Heinrich V
Glaser LV
Fuchs A
Yang X
Benner P
Schöpflin R
Li N
Kinkley S
Römer-Hillmann A
Longinotto J
Heyne S
Czepukojc B
Kessler SM
Kiemer AK
Cadenas C
Arrigoni L
Gasparoni N
Manke T
Pap T
Pospisilik JA
Hengstler J
Walter J
Meijsing SH
Chung HR
Vingron M
Source :
Genome biology [Genome Biol] 2019 Nov 08; Vol. 20 (1), pp. 227. Date of Electronic Publication: 2019 Nov 08.
Publication Year :
2019

Abstract

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.

Details

Language :
English
ISSN :
1474-760X
Volume :
20
Issue :
1
Database :
MEDLINE
Journal :
Genome biology
Publication Type :
Academic Journal
Accession number :
31699133
Full Text :
https://doi.org/10.1186/s13059-019-1860-7