Project summary During transcription, the nascent RNA can anneal with the template DNA strand behind the advancing RNA polymerase and cause the formation of alternative DNA structures called R-loops. R-loop profiling studies have revealed that these structures are prevalent in all genomes and form normally and dynamically. Under normal conditions, R-loops serve important physiological roles. Yet, over the last decade, harmful R-loops that arise when transcription is perturbed have been implicated as powerful triggers of genome instability from yeast to humans. Harmful R-loops have also been linked to an increasing number of human disorders. What distinguishes “good” R-loops from “harmful” R-loops remains mostly unknown. In this proposal, we aim to dissect the mechanisms linking perturbed transcription, R-loop metabolism, and genome instability. This will be accomplished by addressing three central questions. (1) What defines harmful R-loops? While harmful R-loops have been proposed in many studies, they have never been directly defined at the genomic level. We will leverage our unique expertise in R-loop profiling to characterize these proposed structures in the context of well-defined human cellular models of RNA processing dysfunction. This work will define the diversity of altered R-loop landscapes that result from defects in RNA splicing, termination, and export and will allow us to identify how perturbed transcription results in altered R-loop distributions, boosting our knowledge of R-loop biogenesis pathways. (2) Does genome instability result from harmful R-loops or from altered transcription itself? While attention has been focused on harmful R-loops, the negative impacts of defective RNA processing on transcription itself have seldom been considered. To disentangle possible R-loop effects from pure transcriptional effects, we will carefully monitor transcriptional perturbations in cellular models of RNA processing dysfunction. In addition, we will directly measure the accumulation of DNA damage markers in relation to R-loops, allowing us to determine for the first time if altered R-loops are actually “harmful” or if they simply reflect abnormal transcription. (3) What is the role of Ribonuclease H1 (RNase H1) in R-loop metabolism? RNase H1 has a clear biochemical ability to resolve R-loops and its over-expression in cells suppresses a variety of genome instability phenotypes attributed to harmful R-loops. Yet, little direct evidence exists to show that cellular RNase H1 expression resolves nuclear R-loops. Furthermore, recent studies and our preliminary data suggest that RNase H1 could instead work by mitigating the impact of altered transcription itself. To address these two possibilities, we will develop cellular models of RNase H1 depletion and over- expression in mammalian cells and conduct a broad characterization of the resulting genomic R-loop patterns and transcriptional effects. Our work will resolve crucial knowledge gaps conc...