Stella R. Hartono

The paper introduces an R-loop grammar to predict R-loop formation using sequence data and shows it outperforms previous methods across different DNA topologies.

This study shows that RNase H1 is critical for mitochondrial genome maintenance in B cells but has little effect on nuclear R-loops.

This study shows that DNA-binding proteins and nicks increase R-loop formation in vitro, revealing their roles in R-loop dynamics and initiation.

The paper reprocesses R-loop mapping data, develops new quality methods, and introduces RLBase, a web server for exploring and analyzing R-loop datasets.

The paper reprocesses R-loop mapping datasets to assess data quality and identifies consensus R-loop regions, revealing methodological differences and biological subtypes.

This study shows that the S9.6 antibody binds RNA rather than RNA:DNA hybrids in fixed cells, leading to unreliable imaging data.

This study shows that SF3B1 inhibition causes intron retention and R-loop changes, with R-loop gains linked to stress-response gene readthrough and not DNA damage.

The paper develops SMRF-seq to profile R-loops with high resolution and shows they form from unspliced transcripts at genic hotspots, influenced by DNA sequence and topology.

This study shows DNA Topoisomerase I regulates R-loop formation by causing gains and losses at different genomic regions, affecting replication and cell cycle progression.

This study shows that dsRNAs interfere with R-loop detection using S9.6 antibody-based DRIPc-seq in fission yeast, revealing genuine R-loops and their transcriptomic impact.