Enhancer occlusion transcripts regulate the activity of human enhancer domains via transcriptional interference: a computational perspective

Pande A; Makalowski W; Brosius J; Raabe CA

Research article (journal) | Peer reviewed

Abstract

Analysis of ENCODE long RNA-Seq and ChIP-seq (Chromatin Immunoprecipitation Sequencing) datasets for HepG2 and HeLa cell lines uncovered 1647 and 1958 transcripts that interfere with transcription factor binding to human enhancer domains. TFBSs (Transcription Factor Binding Sites) intersected by these ‘Enhancer Occlusion Transcripts’ (EOTrs) displayed significantly lower relative transcription factor (TF) binding affinities compared to TFBSs for the same TF devoid of EOTrs. Expression of most EOTrs was regulated in a cell line specific manner; analysis for the same TFBSs across cell lines, i.e. in the absence or presence of EOTrs, yielded consistently higher relative TF/DNA-binding affinities for TFBSs devoid of EOTrs. Lower activities of EOTr-associated enhancer domains coincided with reduced occupancy levels for histone tail modifications H3K27ac and H3K9ac. Similarly, the analysis of EOTrs with allele-specific expression identified lower activities for alleles associated with EOTrs. ChIA-PET (Chromatin Interaction Analysis by Paired-End Tag Sequencing) and 5C (Carbon Copy Chromosome Conformation Capture) uncovered that enhancer domains associated with EOTrs preferentially interacted with poised gene promoters. Analysis of EOTr regions with GRO-seq (Global run-on) data established the correlation of RNA polymerase pausing and occlusion of TF-binding. Our results implied that EOTr expression regulates human enhancer domains via transcriptional interference.

Details about the publication

JournalNucleic Acids Research (Nucleic Acids Res.)
Volume48
StatusPublished
Release year2020
Language in which the publication is writtenEnglish
DOI10.1093/nar/gkaa026
Keywordstranscriptional interference

Authors from the University of Münster

Brosius, Jürgen
Münster Graduate School of Evolution (MGSE)
Makalowski, Wojciech
Institute of Bioinformatics
Pande, Amit
Institute of Bioinformatics
Raabe, Carsten
Institute of Experimental Pathology