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Toward predictive R-loop computational biology: Genome-scale prediction of R-loops reveals their association with complex promoter structures, G-quadruplexes and transcriptionally active enhancers

  • Vladimir A. Kuznetsov
  • , Vladyslav Bondarenko
  • , Thidathip Wongsurawat
  • , Surya P. Yenamandra
  • , Piroon Jenjaroenpun
  • Agency for Science, Technology and Research, Singapore
  • University of Arkansas for Medical Sciences

Research output: Contribution to journalArticlepeer-review

33 Scopus citations

Abstract

R-loops are three-stranded RNA:DNA hybrid structures essential for many normal and pathobiological processes. Previously, we generated a quantitative R-loop forming sequence (RLFS) model, quantitative model of R-loop-forming sequences (QmRLFS) and predicted ~660 000 RLFSs; most of them located in genes and gene-flanking regions, G-rich regions and disease-associated genomic loci in the human genome. Here, we conducted a comprehensive comparative analysis of these RLFSs using experimental data and demonstrated the high performance of QmRLFS predictions on the nucleotide and genome scales. The preferential co-localization of RLFS with promoters, U1 splice sites, gene ends, enhancers and non-B DNA structures, such as G-quadruplexes, provides evidence for the mechanical linkage between DNA tertiary structures, transcription initiation and R-loops in critical regulatory genome regions. We introduced and characterized an abundant class of reverse-forward RLFS clusters highly enriched in non-B DNA structures, which localized to promoters, gene ends and enhancers. The RLFS colocalization with promoters and transcriptionally active enhancers suggested new models for in cis and in trans regulation by RNA:DNA hybrids of transcription initiation and formation of 3D-chromatin loops. Overall, this study provides a rationale for the discovery and characterization of the non-B DNA regulatory structures involved in the formation of the RNA:DNA interactome as the basis for an emerging quantitative R-loop biology and pathobiology.

Original languageEnglish
Pages (from-to)7566-7585
Number of pages20
JournalNucleic Acids Research
Volume46
Issue number15
DOIs
StatePublished - Sep 6 2018

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