Recent studies revealed classes of recurrent DNA double-strand breaks (DSBs) in neural stem/progenitor cells, including transcription-associated, promoter-proximal breaks and recurrent DSB clusters in late-replicating, long neural genes that may give rise to somatic brain mosaicism. The mechanistic factors promoting these different classes of DSBs in neural stem/progenitor cells are not understood. Here, we elucidated the genome-wide landscape of RNA:DNA hybrid structures called "R-loops" in primary neural stem/progenitor cells undergoing aphidicolin-induced, mild replication stress to assess the potential contribution of R-loops to the different, recurrent classes of DNA break "hotspots". We find that R-loops in neural stem/progenitor cells undergoing mild replication stress are present primarily in early-replicating, transcribed regions and in genes with promoter GC skew that are associated with cell lineage-specific processes. Surprisingly, most long, neural genes that form recurrent DSB clusters do not show R-loop formation under conditions of mild replication stress. Our findings are consistent with a role of R-loop-associated processes in promoter-proximal DNA break formation in highly transcribed, early replicating regions but suggest that R-loops do not drive replication stress-induced, recurrent DSB cluster formation in most long, neural genes.

R-loops are three-stranded nucleic acid structures with both physiological and pathological roles in cells. R-loop imaging generally relies on detection of the RNA-DNA hybrid component of these structures using the S9.6 antibody. We show that the use of this antibody for imaging can be problematic because it readily binds to double-stranded RNA (dsRNA) in vitro and in vivo, giving rise to nonspecific signal. In contrast, purified, catalytically inactive human RNase H1 tagged with GFP (GFP-dRNH1) is a more specific reagent for imaging RNA-DNA hybrids. GFP-dRNH1 binds strongly to RNA-DNA hybrids but not to dsRNA oligonucleotides in fixed human cells and is not susceptible to binding endogenous RNA. Furthermore, we demonstrate that purified GFP-dRNH1 can be applied to fixed cells to detect hybrids after their induction, thereby bypassing the need for cell line engineering. GFP-dRNH1 therefore promises to be a versatile tool for imaging and quantifying RNA-DNA hybrids under a wide range of conditions.