Arraystar DRIPc-seq (DNA–RNA immunoprecipitation followed by cDNA conversion coupled to high-throughput sequencing) profiles LncRNA/mRNA organized R-loop distribution in the genome. The DRIPc-seq data are bioinformatically analyzed to gain biological and functional insights. In the DRIPc-seq, S9.6 antibody is used to the highly specifically immunoprecipitate the R-loops. The RNA strands in the R-loops are sequenced and analyzed.
Along with LncRNA Array, MeDIP-seq, or ChIP-seq, DRIPc-seq provides valuable functional insights in epigenetic and transcriptional regulation by R-loops.
• Powerful profiling: To study R-loops as a new player in gene regulation in the genome.
• Strand specificity: To identify which LncRNAs or mRNAs form the R-loops.
• High reliability: Well established optimal experimental procedures to produce best possible results.
• Flexibility: The DRIPc-seq can be performed for any species with a reference genome.
• Rigorous quality: The positive and negative controls ensure DRIPc-seq library quality.
• Visualization: Provided with rich annotation, genome browser tracks, and publication-ready graphics.
R-loop is a RNA:DNA three-stranded hybrid structure formed between LncRNA/mRNA/CircRNA strand and the template DNA strand by base pairing, leaving the non-template DNA strand unpaired and displaced in the loop (Fig.1) . R-loops are widely distributed, occurring in 5% of the mammalian genomes [2.3]. R-loops are often located in the CpG islands of the promoters or transcription stop sites. High GC skews (G enrichment over C in the downstream of TSS non-template strand), G-quadruplexes, DNA gaps and DNA/RNA modifications contribute the formation of R-loops . R-loops have important biological functions in gene regulation, DNA replication, and DNA/histone modifications.
Figure 1. R-loop structure.
Antisense lncRNA organized R-loops impact mRNA transcription
R-loops can form between an antisense RNA strand and the DNA in the loop. TCF21 is a tumor suppressor in many cancers. TARID (TCF21 antisense RNA inducing demethylation) is a head-to-head antisense lncRNA of TCF21 gene and forms R-loop in the promoter region (Fig. 3). The R-loop is recognized by GADD45a, which recruits demethylase TET1, removes DNA methylation, increases TCF21 mRNA transcription, and regulates the cell cycles .
Figure 3. Antisense lncRNATARID forms R-loop to regulate TCF21 promoter demethylation and TCF21 mRNA transcription .
mRNA organized R-loop regulation of DNA methylation and mRNA transcription
Normally, the R-loop at BAMBI (a negative regulator of TGFb) gene promoter facilitates more transcription. However in amyotrophic lateral sclerosis (ALS4), senataxin mutation reduces R-loop and increases the DNA methylation at the BAMBI promoter, leading to BAMBI transcription repression, TGFb signal transduction upregulation, and ALS progression (Fig. 2).
Figure 2. In healthy normal cell, R-loop at the BAMBI promoter facilitates more transcription. In ALS cells, Senataxin mutation suppresses R-loop formation at the promoter and BAMBI transcription.
Why R-loop is an active player in transcription regulation?
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 Sanz LA. et al (2016) Prevalent, Dynamic, and Conserved R-Loop Structures Associate with Specific Epigenomic Signatures in Mammals. Mol Cell 63(1):167-78 [PMID:27373332]
 Li M. and Klungland A. (2020) Modifications and interactions at the R-loop. DNA Repair (Amst) 96:102958 [PMID:32961406]
 Niehrs C. and Luke B. (2020) Regulatory R-loops as facilitators of gene expression and genome stability. Nat Rev Mol Cell Biol 21(3):167-178 [PMID:32005969]
 Hegazy YA. et al (2020) The balancing act of R-loop biology: The good, the bad, and the ugly. J Biol Chem 295(4):905-913 [PMID:31843970]
 Grunseich C. et al (2018) Senataxin Mutation Reveals How R-Loops Promote Transcription by Blocking DNA Methylation at Gene Promoters. Mol Cell 69(3):426-437.e7 [PMID:29395064]
 Arab K. et al (2019) GADD45A binds R-loops and recruits TET1 to CpG island promoters. Nat Genet 51(2):217-223 [PMID:30617255]
Fig 1. The workflow of DRIPc-Sequencing
Peak Calling and Annotations
Statistically significant DRIPc-enriched regions (R-loop peaks) are called by MACS2, using a p-value threshold at 0.001.
R-loop Peak Classification
R-loop peaks are classified by their nearest (overlapping or close by) gene features using UCSC RefSeq annotation: promoter, gene body, terminator, or intergenic (Fig.4). Summary stats of R-loop classification distribution are provided.
Figure 1. R-loop peak classification in one of the four types of gene features.
Figure 2. The proportions of R-loop peaks in gene feature classification.
Figure 3. R-loop peak enrichment in gene features over random even distribution normalized for feature sizes.
Figure 4. Distribution of R-loop peaks within Genebody. The X-axis represents the gene body between Transcription Start Site (TSS) and Transcription End Site (TES) (gene body lengths standardized to 100%). The Y-axis indicates the read count per million mapped reads.