SUMMARY
R-loops are RNA-DNA hybrid-containing nucleic acids with important cellular roles. Deregulation of R-loop dynamics can lead to DNA damage and genome instability1 which has been linked to the action of endonucleases such as XPG2–4. However, the mechanism and cellular consequences of such processing have remained unclear. Here, we identify a new population of RNA-DNA hybrids in the cytoplasm that are R-loop processing products. When nuclear R-loops were perturbed by depleting the RNA-DNA helicase Senataxin (SETX) or the breast cancer gene, BRCA15–7, we observed XPG and XPF-dependent cytoplasmic hybrid formation. We identify the hybrid source as a subset of stable, converging nuclear R-loops with a specific nucleotide signature. Cytoplasmic hybrids bind the pattern recognition receptors cGAS and TLR38, activating IRF3 and inducing apoptosis. Excised hybrids and an R-loop-induced innate immune response were also observed in SETX-mutated ataxia oculomotor apraxia type 2 (AOA2) patient cells9 and in BRCA1-mutated cancer cells10. These findings establish RNA-DNA hybrids as immunogenic species which aberrantly accumulate in the cytoplasm upon R-loop processing, linking R-loop accumulation to cell death through the innate immune response. Aberrant R-loop processing and subsequent innate immune activation may contribute to many diseases, such as neurodegeneration and cancer.
R-loops are three-stranded nucleic acid structures that form during transcription. Unscheduled R-loop formation can interfere with productive DNA replication and transcription, and has been linked to double-strand break formation, genome instability, senescence and cell death in several disease states1,5,11. Many factors suppress R-loop formation in human cells, including the helicase SETX3,7, which can unwind the RNA-DNA hybrid portion of the R-loop, and the breast-cancer predisposition gene BRCA16, which is involved in DNA repair, DNA replication and transcription. Although DNA breaks are known to result from the endonucleolytic processing of R-loops2–4, the fate of these processed nucleic acids and their impact on the cell remains unknown.
Cytoplasmic RNA-DNA hybrid accumulation
To study R-loop processing, we used recombinant, GFP-tagged, catalytically-inactive RNase H1 D210N (GFP-dRH) to visualize RNA-DNA hybrids throughout the cell12. Surprisingly, we observed that siRNA-mediated knockdown of two factors that affect R-loop levels, SETX or BRCA1, not only led to an increase in nuclear GFP-dRH signal as previously observed12, but also of cytoplasmic GFP-dRH signal (Fig. 1a, Extended Data Fig. 1a–c). This signal was sensitive to pre-treatment of cells with RNase H, which degrades the RNA moiety of RNA-DNA hybrids, indicating that RNA-DNA hybrids accumulate in the cytoplasm of cells. To characterize these nucleic acids, we developed a method to biochemically purify and visualize cytoplasmic RNA-DNA hybrids – termed cytoplasmic DNA-RNA hybrid immunoprecipitation (cytoDRIP) (Fig. 1b). Using this approach, we found that depletion of SETX or BRCA1 (Fig. 1c,d, Extended Data Fig. 1d–g), as well as splicing inhibition using Pladienolide B13 (PlaB) (Extended Data Fig. 1h), resulted in increased accumulation of cytoplasmic RNA-DNA hybrid fragments, ranging in size from 100 bp to several kilobases.
XPG and XPF excise RNA-DNA hybrids
As the endonucleases XPG and XPF have been implicated in R-loop processing2–4, we asked whether they contribute to cytoplasmic hybrid formation. Interestingly, cytoplasmic RNA-DNA hybrid accumulation was abrogated by siRNA-mediated depletion of XPG or XPF (Fig. 1e,f, Extended Data Fig. 1i–l), or by degradation of auxin-induced degron (AID)-tagged XPG (Extended Data Fig. 1m–o). These results indicate that R-loop deregulation leads to an XPG- and XPF-dependent increase in the formation of cytoplasmic RNA-DNA hybrids. To ensure that cytoplasmic hybrids were not simply generated as a result of apoptosis, we generated apoptosis-deficient BAX−/− BAK−/− double-knockout cells14,15. We observed R-loop-induced, XPG-dependent accumulation of cytoplasmic hybrids in these cells (Fig. 1g,h, Extended Data Fig. 2a). We also observed cytoplasmic hybrids in serum-starved cells (Fig. 1i, Extended Data Fig. 2b–k), indicating that cytoplasmic hybrid production does not require DNA replication and that these hybrids are not simply released into the cytoplasm through nuclear envelope breakdown. The nuclear transport receptor exportin-1, which is involved in the export of nucleic acids16–18, also had a partial role in regulating localization of the hybrids induced by SETX loss or PlaB treatment (Extended Data Fig. 2l–n). This finding suggests cytoplasmic hybrid formation is an active process involving nuclear export. Finally, we leveraged the rapid action and reversibility of PlaB (Extended Data Fig. 2o,p) to study the dynamics and stability of cytoplasmic RNA-DNA hybrids. We found that cytoplasmic and soluble nucleoplasmic hybrids formed within 30 min of PlaB addition, and their levels accumulated over time (Fig. 1j). Three hours after PladB withdrawal, hybrid levels began to decline, exhibiting a half-life of approximately 4 h and returning to baseline by 24 h (Fig. 1k). Therefore, R-loop processing results in the rapid formation and active export of RNA-DNA hybrids to the cytoplasm, from which they are eventually cleared.
Hybrids originate from genomic R-loops
To trace the origin of cytoplasmic RNA-DNA hybrids, we combined cytoDRIP with strand-specific RNA-DNA hybrid sequencing (cytoDRIP-seq) (Fig. 2a, b) using control and SETX-depleted cells. We sequenced the single-stranded DNA moiety of the hybrids to prevent known issues of the S9.6 antibody binding to dsRNA12,19, obtaining a highly reproducible signal (Extended Data Fig. 3a). The sequencing reads were primarily derived from the nucleus, with a small fraction mapping to the mitochondrial genome (Extended Data Fig. 3b). We identified 866 peaks in control and 5726 peaks in SETX-depleted cells representing 0.04% and 0.19% of genome space, respectively (Extended Data Fig. 3c). Most of these sites were not present in control cells (Extended Data Fig. 3d) and were enriched above IgG control (Extended Data Fig. 3e). Importantly, we also demonstrated sensitivity to RNase H (Extended Data Fig. 3f) and validated the role of XPG in cytoplasmic hybrid formation (Fig. 2c). CytoDRIP sites mapped to both genic and intergenic regions (Fig. 2d, Extended Data Fig. 3g,h). Within genes, most cytoDRIP sites occurred within gene bodies (Extended Data Fig. 4a), and within intergenic regions, there was significant enrichment at enhancers (Fig. 2d). Since nuclear R-loops are enriched for certain repetitive DNA sequences20, we asked if repeats overlapped cytoplasmic hybrid sites more than expected. We found cytoDRIP regions to be elevated for several types of repeats, in particular simple and low complexity repeats (Extended Data Fig. 4b,c), centromeres and rDNA (Extended Data Fig. 4d).
By comparing cytoDRIP-seq and nuclear DRIP-seq signals21, we found that most cytoDRIP regions overlapped sites that form nuclear RNA-DNA hybrids (Fig. 2A, Extended Data Fig. 4e), as expected. However, cytoDRIP regions collectively occupied a much smaller area of the genome (Extended Data Fig. 3C), and peak lengths were smaller than those for nuclear R-loops (Extended Data Fig. 4f), indicating that cytoplasmic hybrids are derived from a small subset of nuclear R-loops, and that only a portion of nuclear R-loops may be susceptible to processing. CytoDRIP peak strength did not correlate with nuclear DRIP-seq levels (Extended Data Fig. 4g), or nascent transcription levels as measured by GRO-seq (Extended Data Fig. 4h), and well-studied sites of abundant nuclear R-loop formation did not generate cytoplasmic hybrids (Extended Data Fig. 4i,j). Therefore, highly transcribed, abundant R-loops are not necessarily susceptible to processing and cytoplasmic accumulation. We also asked whether XPG was preferentially recruited to genomic R-loops corresponding to cytoDRIP sites, as compared to nuclear R-loop sites not represented in the cytoplasm. Using a knock-in cell line expressing GFP-tagged XPG (Extended Data Fig. 4k), we performed ChIP-qPCR against GFP. XPG binding increased upon SETX loss specifically at hybrid sites found in the cytoplasm, but not at other nuclear R-loop sites (Extended Data Fig. 4l). Overall, these data suggest that certain genomic R-loops become more susceptible to XPG-dependent processing in the absence of SETX.
Hybrid sequences and stability
We next asked whether the stability of genomic hybrids affects the likelihood of cytoplasmic hybrid accumulation. Previous modeling revealed a range of nuclear hybrid lifetimes on the genome, with an average half-life of 11 min21,22. Using actinomycin D to inhibit transcription and new R-loop formation, we probed the lifetimes of nuclear R-loops from which the cytoDRIP signal was derived, using for comparison previously identified21 short, medium and long-lived nuclear hybrids (Fig. 2e, Extended Data Fig. 5a, b). Strikingly, we estimated R-loop half-lives of 43–67 min from the cytoDRIP-seq sites tested, indicating that these R-loops are particularly long-lived on the genome (Fig. 2e). We also observed a strong association between cytoDRIP sites and a subset of nuclear RNA-DNA hybrids that were previously identified as partially resistant to RNase H treatment21,23 (Fig. 2a, Extended Data Fig. 4e, 5c). An in vitro RNase H titration combined with high-resolution nuclear DRIP-qPCR confirmed that cytoplasmic hybrids map to nuclear R-loop regions that are less sensitive to RNase H and require longer treatment for degradation (Fig. 2f). However, long genomic half-life and RNase H-resistance were not sufficient determinants of R-loop processing, since multiple long-lived or RNase H-resistant R-loops were not identified in the cytoplasm by cytoDRIP-seq (Extended Data Fig. 3c, Extended Data Fig. 5d).
Interestingly, when averaging across all cytoDRIP peaks, we observed that the sense and antisense cytoplasmic and nuclear hybrid signals formed two distinct peaks, with the antisense signal shifted approximately 100 nucleotides downstream (Fig. 2a, g). This suggests that cytoplasmic hybrids are derived from genomic regions that have adjacent and potentially overlapping nuclear RNA-DNA hybrids on both strands in a convergent (i.e. head-on) orientation (Extended Data Fig. 6a). To test this, we calculated the ratio between sense and antisense nuclear hybrid signal within each cytoDRIP peak and, for comparison, within each nuclear DRIP peak. As expected, the nuclear hybrid ratios within nuclear DRIP peaks were much higher than one, reflecting that hybrid signal within nuclear R-loops is predominantly derived from the sense strand (Fig. 2h). However, the ratios within cytoDRIP peaks were smaller and close to one, indicating that these are sites in which both sense and antisense hybrids form. This is consistent with hybrid formation associated with sites of convergent transcription. We next analyzed nucleotide features of the cytoDRIP peaks. While cytoDRIP regions had overall similar GC and AT content relative to nuclear R-loop regions (Extended Data Fig. 6b), they exhibited abrupt switches in the polarity of GC and AT skew (asymmetry in G content and A content between DNA strands, respectively), shifting from high to low skew at the center of the peak (Fig. 2i). Similar patterns in nucleotide skew were not observed for nuclear DRIP-seq24–26 (Extended Data Fig. 6c). Since R-loops are known to form preferentially at and be stabilized by GC-skewed regions24, the overlapping, convergent hybrid signal and nucleotide skew observed at cytoDRIP peaks may promote the formation of particularly stable nuclear R-loops.
Notably, the small number of cytoDRIP sites identified in control cells exhibited similar characteristics to those induced by SETX loss (Extended Data Fig. 6d–f), suggesting that there is a low basal level of hybrid processing that occurs on the genome that is dramatically increased when nuclear R-loop dynamics are perturbed. Taken together, our results indicate that the cytoplasmic hybrids observed after SETX loss are derived from a small subset of nuclear R-loop regions that are partially RNase H-resistant, relatively long-lived, and may result from convergent transcription at sites of nucleotide skew.
Hybrid-activated innate immune responses
Cellular nucleic acids can stimulate immune responses via pattern recognition receptors (PRRs)8,10,15,27–29, and deregulation of R-loops has been linked to this signaling17,30–33. Whether cytoplasmic hybrids resulting from nuclear R-loop processing contribute to this response is unknown. We found that depletion of SETX or BRCA1, or PlaB treatment, triggered an increase in phosphorylation of IRF3 on serine 386 (pIRF3) (Fig. 3a, Extended Data Fig. 7a–d), a marker of IRF3 immune signaling. This phosphorylation was reduced by expression of nuclear-localized wild-type RNase H1 (NLS-RH), but not catalytically-inactive NLS-dRH (Fig. 3a, Extended Data Fig. 7e). Several IRF3 effectors, including interferon-beta (IFNβ) and several interferon-stimulated genes (ISGs), were also upregulated in an RNaseH-reversible manner (Fig. 3b, Extended Data Fig. 7f). More importantly, depletion of XPG or XPF by siRNA (Fig. 3c, d) or using AID-tagged XPG (Fig. 3e, Extended Data Fig. 7g) reversed this signaling. These observations couple IRF3 signaling to nuclear R-loop processing.
IFNβ and some ISGs upregulated by IRF3 signaling are known to induce apoptosis34. We found that cleaved-PARP (C-PARP)35 and caspase 3 activity36 were induced upon loss of SETX or BRCA1 in a manner that was blocked either by knockdown of the R-loop processing factors XPG and XPF, or expression of NLS-RH (Fig. 3f–h, Extended Data Fig. 7h,i). Additionally, the proinflammatory and apoptosis factor TNFα37 was elevated upon R-loop processing (Fig. 3d), and its knockdown reduced C-PARP levels (Extended Data Fig. 7j). These findings indicate that apoptosis, mediated in part by TNFα, is a consequence of R-loop processing. Importantly, R-loop-induced, XPG and XPF-dependent IRF3 signaling was also observed in BAX−/− BAK−/− cells (Fig. 3i, Extended Data Fig. 7k). These results demonstrate that the innate immune response can be triggered by R-loop processing independent of apoptosis.
Finally, to establish whether cytoplasmic DNA-RNA hybrids can directly induce the immune response observed in SETX- and BRCA1- deficient cells, we stably expressed cytoplasmically-localized RNase H (RH-NES) in these cells. We observed efficient digestion of cytoplasmic hybrids (Extended Data Fig. 7l,m) as well as diminished innate immune signaling and apoptosis when RH-NES was expressed (Fig. 3j, k). Hence, while other nucleic acids could contribute to activation of the innate immune response, our findings strongly suggest that cytoplasmic RNA-DNA hybrids directly contribute to its activation and to apoptosis in these cells.
cGAS and TLR3 sense cytoplasmic hybrids
To test which innate immune sensor mediates the activation of IRF3 when R-loops are induced, we knocked-down TLR3, RIGI or MDA5, or inhibited cGAS using RU52138 in SETX-deficient cells. Inhibition of cGAS, depletion of TLR3 or knockout of either protein strongly reduced pIRF3 and downstream effectors, whereas depletion of RIGI or MDA5 had only a modest effect (Fig. 4a, Extended Data Fig. 8a–f). Consistently, combined cGAS inhibition and TLR3 knockdown fully suppressed activation of IRF3 downstream effectors (Fig. 4a, b, Extended Data Fig. 8g,h) and apoptosis (Fig. 4c, Extended Data Fig. 8i) in SETX/BRCA1-deficient cells. We also excluded the possibility that cGAS or TLR3 depletion regulates pIRF3 levels indirectly by reciprocally affecting protein levels (Extended Data Fig. 8j). These observations indicate that R-loop-induced IRF3 signaling is mediated primarily by cGAS and TLR3.
We then sought to elucidate whether cGAS and TLR3 recognize cytoplasmic RNA-DNA hybrids in SETX-deficient cells. Consistent with previous reports, cGAS-dependent IRF3 signaling could be activated by synthetic RNA-DNA hybrids32,39. Surprisingly, RNA-DNA hybrids also induced TLR3-dependent IRF3 signaling (Fig. 4d, Extended Data Fig. 8k). Both TLR3 and cGAS also bound RNA-DNA hybrids directly in vitro, as well as their canonical ligands, dsRNA and dsDNA8, respectively (Fig. 4e,f, Extended Data Fig. 8l,m). In addition, the knockdown of SETX or BRCA1 led to the association of cGAS and TLR3 with cytoplasmic hybrids in a manner that was abrogated by the knockdown of XPG, removal of hybrids by in vitro RNase H treatment, or competition with a synthetic hybrid (Fig. 4g, Extended Data Fig. 9a–d). These results suggest that cGAS and TLR3 directly recognize endogenous, R-loop-derived cytoplasmic RNA-DNA hybrids.
To confirm the interaction of TLR3 with cytoplasmic hybrids, which has not been reported, we immunoprecipitated TLR3 from the cytoplasm and probed for hybrids. We observed an RNaseH-sensitive increase in TLR3 co-associated cytoplasmic hybrids in SETX-deficient cells (Fig. 4h, Extended Data Fig. 9e), consistent with the S9.6 co-IP results (Fig. 4g). We also asked if we could observe RNA-DNA hybrids in acidified endolysosomal compartments where TLR3 is enriched40 by isolating lysosomes using the HA-tagged lysosomal transmembrane protein TMEM19241 and then performing an S9.6 IP (Extended Data Fig. 9f). We observed an increase of RNA-DNA hybrids in endolysosomes upon SETX depletion (Fig. 4i, Extended Data Fig. 9g–i). In addition, we found cGAS did not interact with TLR3 in the cytoplasm (Extended Data Fig. 9j,k). These observations strongly suggest cGAS and TLR3 directly sense R-loop-derived cytoplasmic RNA-DNA hybrids in the cytosol and endolysosomes, respectively, and cooperate to activate IRF3-mediated signaling (Extended Data Fig. 9l).
Pathological hybrids and disease
Finally, we asked whether IRF3 signaling can be triggered by R-loops that accumulate under pathological conditions. We used a cell line derived from an individual with the neurodegenerative disease ataxia oculomotor apraxia type 2 (AOA2), harboring a loss of function SETX mutation9,42,43, and the UWB1.289 human ovarian cancer cell line, in which BRCA1 is mutated10. Cytoplasmic hybrids were induced in AOA2 patient-derived fibroblasts in an XPG-dependent manner (Extended Data Fig. 10a–c). Additionally, IFNβ and several ISGs were increased in an XPG- and cGAS/TLR3-dependent manner in AOA2 fibroblasts (Fig. 4j,k, Extended Data Fig. 10d,e), as well as in control fibroblasts following SETX depletion (Extended Data Fig. 10f,g). Similarly in UWB1.289 BRCA1-deficient cells, we observed increased cytoplasmic hybrids (Fig. 4l, Extended Data Fig. 10h,i) and an NES-RH-sensitive immune response and apoptosis, compared to isogenic controls in which BRCA1 is restored (Fig. 4m, Extended Data Fig. 10j,k). Interestingly, cytoplasmic hybrids, as well as an XPG-dependent and NES-RH-sensitive immune response and apoptosis were also observed after knockdown of SAMHD1 (Extended Data Fig. 10l–o), which is mutated in the autoimmune disease Aicardi-Goutières syndrome (AGS)28. Altogether, these data indicate that R-loop-induced accumulation of cytoplasmic RNA-DNA hybrids and subsequent activation of the innate immune response and apoptosis can be observed in several models for human disease.
DISCUSSION
Here, we describe the discovery of cytoplasmic RNA-DNA hybrids as immunogenic products of R-loop processing (Extended Data Fig. 9l). We show that cytoplasmic hybrids accumulate when nuclear R-loop metabolism is deregulated, and that this accumulation depends on the endonucleases XPG and XPF. Importantly, we find that endogenous cytoplasmic hybrids are sensed by the immune receptors cGAS and TLR3, whose canonical activation has been ascribed to DNA and RNA, respectively. We thus reveal a previously unknown arm of the innate immune response and establish cellular RNA-DNA hybrids as drivers of IRF3 signaling which, when accumulated aberrantly at high levels, can induce apoptosis. Interestingly, low but detectable levels of cytoplasmic hybrids are present in unperturbed cells, suggesting that XPG-mediated excision may be a mechanism used to remove a small subset of persistent R-loops. However, when R-loops are deregulated or resolution pathways disrupted, some genomic R-loops become susceptible to nucleolytic processing, raising the levels of cytoplasmic hybrids above a critical threshold for IRF3 activation.
How R-loop processing is regulated remains unclear, as is the mechanism by which these hybrids leave the nucleus, but our findings suggest these pathways occur throughout the cell cycle and are focused on a subset of nuclear R-loops. Using next-generation sequencing on biochemically purified cytoplasmic hybrids from SETX-deficient cells, we traced their origin to genomic R-loops that are highly stable and exhibit distinct sequence properties, consistent with convergent transcription and hybrid formation. We envision that the increased stability of hybrids formed at these sites, stalled RNA polymerases and potential secondary structure formation may render them more prone to XPG-mediated processing. Many hybrids were enriched in the cytoplasm only upon loss of SETX, suggesting that these R-loop sites are normally resolved by this RNA-DNA helicase and hence not usually vulnerable to processing. Furthermore, XPG-dependent cytoplasmic hybrid accumulation, immune activation and apoptosis were observed in AOA2 patient-derived cells and UWB1 human ovarian cancer cells, which harbor mutated SETX and BRCA1. These results suggest that aberrant R-loop processing and subsequent innate immune activation may be pathological processes that could differentially affect disease outcome based upon the cellular context. For example, such processing may contribute to cell death when associated with neurodegenerative diseases but act as a protective mechanism during early oncogenesis to remove genomically unstable cells in cancer cells with mutated BRCA1 or deregulated splicing36,44.
Our findings therefore reveal a new mechanistic connection linking R-loop deregulation and processing with innate immune activation that could be relevant to many human diseases. They also suggest the innate immune response may represent a second, distinct pathological response to R-loops beyond canonical DNA damage mechanisms.
METHODS
Cell culture and transfection
HeLa, HCT116, MCF10A and 293T cells were obtained from ATCC, where they were tested for mycoplasma and verified by STR profiling, and grown in DMEM (Gibco) supplemented with 10% FBS and 1% penicillin/streptomycin/glutamine (PSG). Control normal foreskin (CTRL) fibroblasts and AOA2 patient-derived (SETX-1RM) fibroblasts9 (gifts from Stephen West), were cultured in DMEM supplemented with 15% FBS and 1% PSG (lacking FBS for serum starvation for 3 days). UWB1.289 (UWB1) or UWB1.289+ BRCA1 (UWB1+BR1) reconstituted cells (gifts from Roger Greenberg10) were cultured in 1:1 RPMI1640 and MEGM (BulletKit, Lonza) with 10% FBS, penicillin and streptomycin. MCF10A cells were cultured in 1:1 DMEM and F12 media, 5% horse serum, 0.5 μg/ml hydrocortisone, 10 μg/ml insulin, 20ng/ml EGF, 100 ng/ml Cholera Toxin, and 1% PSG (for serum starvation, media lacking horse serum and EGF was used for 48 h). All cells were grown in a 37°C humid incubator with 5% CO2. siRNA transfections were performed by using Lipofectamine RNAiMax (ThermoFisher) and 20 nM siRNA (Supplementary Table 1). Plasmid DNA transfections were performed with FuGENE HD (Promega) for 48 h or as indicated. For transfection into AID-fused XPG degron cells, 4 mM indole-3-acetic acid (IAA, Sigma) or an equal volume of DMSO was added to the culture medium immediately after transfection. The following inhibitors were used for the times indicated: 2 μg/ml cGAS inhibitor (cGASi) RU.521 (Invivogen), 500 nM Pladienolide B (Cayman Chemicals) and 5 nM Leptomycin B (LMB) (Cayman Chemicals).
Immunofluorescence
Immunofluorescence experiments with GFP-dRH protein were performed as described12. For Cyclin B1, cells were fixed with 4% paraformaldehyde for 20 min at room temperature and permeabilized with 0.25% Triton X-100 and in Cyclin B1 antibody at 4°C overnight, then finally incubated with 5 ng/mL DAPI, 0.2 μL HCS Cellmask Deep Red (Thermo Fisher Scientific) and Alexa Fluor 488. Coverslips were mounted onto glass slides using Prolong Glass antifade mountant (Thermo Fisher Scientific). Antibody dilutions can be found in Supplementary Table 1.
Image acquisition and analysis
For GFP-dRH analysis, images were acquired as described12. Using CellProfiler (v4.2.1), the DAPI channel was used to identify nuclei using the IdentifyPrimaryObjects module, Primary Objects and whole cell stain were then used to identify cells as Secondary Objects. The cytoplasmic area was identified as a Tertiary Object from the whole cells shrunk by one pixel and nuclei expanded by three pixels. The mean intensity for each cytoplasmic area was calculated and exported. For epifluorescence imaging, a Zeiss OBSERVER.Z1 INVERTED microscope was used with a Plan-APO 40x/1.4 Oil DIC (UV) VIS-IR objective. Images were adjusted equally in ImageJ (version 2.0.0).
Cell cycle analysis
To monitor cell cycle synchronization in MCF10As, cells were incubated with 10 μM 5-Bromo-2’-deoxyuridine (BrdU) and processed according to the manufacturer’s guidelines (BD Biosciences). Data analysis was done using FlowJo v3.05 and the gating strategy is shown in Supplementary Figure 2. For fibroblasts, cells were incubated with 10 μM EdU for 30 min and processed45.
CytoDRIP
Cells (10–50 ×106) were harvested using trypsin, washed in PBS and pelleted by centrifugation and fractionated using the Nuclear and Cytoplasmic Extraction kit (Thermo Fisher Scientific). Cytoplasmic or nucleoplasmic fractions were recovered and incubated in 0.4% SDS and 40 μg/ml of proteinase K (Thermo Fisher Scientific) for 90 min at 37°C. Samples were resuspended in ultrapure water, adjusted to 550 mM NaCl and treated with RNase A (1 μg/mL) for 25–45 min. For RNase H treatment, samples were digested overnight in 1× NEB RNase H buffer and RNase H (0.4 U/μL). Samples were then normalized by protein concentration in the cytoplasmic extract or to equal cell counts. For immunoprecipitation, 16 μg of S9.6 antibody or mouse IgG were bound to Dynabeads Protein G beads (Thermo Fisher Scientific) in 1× binding buffer (20 mM Tris-HCl pH 8.0, 2 mM EDTA, 1% Triton X-100, 150 mM NaCl, 0.5% sodium deoxycholate) for 4–6 h at 4°C. In parallel, samples were resuspended in 1× TE buffer and then pre-cleared with Dynabeads Protein G for 1–2 h in 1× binding buffer. Pre-cleared genomic samples were then added to S9.6 or IgG-bound beads and incubated overnight with rotation at 4°C. Bound beads were washed with TE and then with TSE buffer (20 mM Tris-HCl pH 8.0, 2 mM EDTA, 1% Triton X-100, 0.1% SDS, 150 mM NaCl). Elution was performed in 200 μL elution buffer (50 mM Tris pH 8, 10 mM EDTA, 0.5% SDS, 8 μl Proteinase K 20 mg/ml) for 50 min at 50°C. For cytoplasmic hybrid association with TLR3, hybrids were first enriched with TLR3 IP, eluted in elution buffer as described above, before the second IP with S9.6. For cytoDRIP-qPCR, samples were resuspended in ultrapure water and analyzed. For cytoDRIP blotting, eluted samples were resuspended in TE buffer and 3’-end labelled with 2 μM biotin-11-dUTP (Biotium) and 0.2 U/μl of TdT (NEB) in 1× TdT reaction buffer supplemented with 0.25 mM CoCl2 for 45 min at 37 °C. The labeling reactions were stopped by addition of 20 mM EDTA and put on ice. The reactions were then incubated with 0.4% SDS and 40 μg/ml of proteinase K for 40 min at 37 °C. About 100 ng of 100 bp DNA ladder (NEB) was labeled in an identical reaction for use as a molecular weight marker during gel electrophoresis. The labeled samples were separated on 4–20% TBE gels, transferred onto Biodyne B Nylon membranes (Thermo Fisher Scientific), and fixed by UV crosslinking. Membranes were processed as described46 and chemiluminescence was detected by X-ray film. Uncropped gel images are in Supplementary Fig. 1.
Nuclear DRIP-qPCR
This was performed as described previously21. For hybrid lifetime analysis, actinomycin D (2 μg/mL, Cayman Chemical Company) was added prior to harvest. For RNase H titration, samples were treated after cell lysis and prior to immunoprecipitation in 200 μl reaction volumes as follows: 13 μg DNA with 0.5 U RNase H for 5 min; 13 μg DNA with 0.5 U RNase H for 15 min; 13 μg DNA with 2.5 U RNase H for 45 min; 5.5 μg DNA with 100 U RNase H for for 16 h; 5.5 μg DNA with 100 U RNase H for for 40 h.
Library preparation and sequencing for cytoDRIP-seq
After elution, genomic material was resuspended in TE buffer and sonicated to a peak fragment size of 300 bp, performed on a Covaris machine (E220 evolution) (10% Duty Factor, 200 cycles/burst, 140 peak incident power, 30 s per tube). DNA libraries were synthesized from ssDNA using the Accel-NGS 1S DNA library kit (Swift Biosciences) as described21. Library DNA was sequenced on a HiSeq 4000 (Illumina) at the Stanford Genome Sequencing Service Center, using 2 × 150 bp sequencing.
Chromatin immunoprecipitation (ChIP)
5–15 million cells were cross-linked per ChIP sample in 25 mL PBS with 1% methanol-free formaldehyde for 10 min and quenched with a final concentration of 0.125 M glycine for 5 min with nutation. Samples were processed as described47. 7.5 μg GFP antibody was added per ChIP sample and incubated overnight at 4°C. 50 uL of Protein G Dynabeads (ThermoFisher) were blocked with Block solution (0.5% BSA (w/v) in 1X PBS) and then added to antibody-bound chromatin for 4 h, washed and eluted. ChIP and input samples were purified by phenol-chloroform-isoamylalcohol extraction and ethanol precipitated. Antibodies used are in Supplementary Table 1.
qPCR
Cells were collected 48 h after transfection and lysed with Trizol (Invitrogen). RNA was isolated by phenol–chloroform extraction and converted to cDNA using SuperScript® III First-Strand Synthesis System (Invitrogen). qPCR was performed on a Roche LightCycler 480 Instrument II using SYBR-Green master mix (Bio-Rad Laboratories). To measure the transcription level, primers recognizing the transcript of genes of interest and β-Actin, serving as internal control, were designed, and the RNA level of each target gene was normalized to that of β-Actin. For splicing inhibition, cDNA was amplified with primers within different introns to monitor mRNA splicing efficiency. qPCR data was analyzed by Roche LightCycler version 1.5.1. Primers used for qPCR are in Supplementary Table 1. Ct values from qPCR of immune genes are in Source Data Table 1.
cytoDRIP-seq analysis
Trimmed reads (with cutadapt v1.16) were aligned to human genome reference hg38 with bowtie2 (v2.3.4). Reads were separated into positive and negative stranded files using SAMtools (v1.10) and unix text-processing utilities. Genome browser tracks were produced with the BEDTools genomecov utility, normalized to reads per million mapped, and visualized using IGV (v2.8.2). Tracks for nuclear DRIP-seq and RNase H resistant DRIP-seq signal in HeLa cells were generated previously21.
Peak calling
Peaks were called against a merged bam file from all IgG samples using MACS2 with narrow peak settings. BEDTools (v2.29.2) was then used to obtain coverage in each experiment over these consensus peaks. Using these read counts, we filtered out peaks that were highest in IgG coverage (top 5% measured by reads per million), and then filtered only for regions with a peak score > 50. The remaining peaks from two biological replicates were merged for siCon and siSETX samples. This resulted in 2911 peaks that were used for subsequent meta analyses. Strand annotations were assigned by intersecting peaks with genes expressed in HeLa cells21.
Metaplots
Metaplots around cytoDRIP peaks and other genome features were produced using deepTools (v3.2.1). Tracks for GC and AT-skew were generated as described21. GC and AT content within peaks was calculated using bedtools nuc. Ratios of sense and antisense hybrid signal were calculated from the coverage of plus and minus strand reads within the peaksets indicated. Only peaks with at least one sense and one antisense read were included. Data processing for all genomic plots was performed with Python v3.7.13, NumPy v1.21.5 and Pandas v1.3.5. Data were visualized with the Python packages Matplotlib v3.5.1 and Seaborn v0.11.2. Statistical analysis was performed in Python using SciPy v1.7.3.
Analysis of genome features
Analysis of genome compartments overlapping cytoDRIP peaks was performed using CEAS (Cis-Regulatory Element Annotation System). For intergenic enhancer and insulator annotations, ChromHMM annotations for HeLa cells (from UCSC Table Browser) were intersected with intergenic cytoDRIP peaks using bedtools intersect. For DNA repeat elements, RepeatMasker annotations were used. CytoDRIP peaks were sub-sampled 10,000 times (bedtools shuffle) from within all nuclear DRIP peaks. A jaccard coefficient (bedtools jaccard) was calculated for each randomized peak set and the Z-score was calculated from the resulting distribution. Consensus rDNA regions (5.8S: NG_054872.1, 18S: NG_054871.1, 28S: M11167, total rDNA: U13369.1), alpha satellite (M95601.1) were indexed and then sequencing reads aligned to these using bwa mem. For telomere sequence analysis, R1 and R2 reads with >= 3 instances of AATCCC or TTAGGG were counted.
R-loop lifetime and RNase H half-life analysis
Percent inputs were obtained by qPCR for each hybrid region from a time course with actinomycin D treatment or a time course of RNase H treatment and half-lives were derived by fitting an exponential decay function to these measurements. Short, average and long-lived nuclear R-loop sites were identified previously21.
Electrophoretic mobility shift assay (EMSA)
RNA60 and DNA60 oligos were 5’-end labeled with γ-32P–ATP by T4 polynucleotide kinase (NEB) and purified by illustra G-25 microspin column (GE Lifesciences). RNA60 oligo was annealed with unlabeled DNA60 or asRNA60 oligo to form a 60 bp-long hybrid or dsRNA substrate. DNA60 oligo and unlabeled asDNA60 oligo were annealed together to form a dsDNA substrate. For annealing, two oligonucleotides were mixed at 1:1 molar ratio in a buffer containing 1.25 mM EDTA and 12.5 mM Tris-HCl pH7.6. Samples were heated at 95°C for 5 min and were allowed to slowly cool to room temperature. The oligo sequences are listed in Extended Data Table 1. For the EMSA reaction, proteins purified from mammalian cells were mixed with 1 nM labeled substrate at molar ratios ranging from 1:1 to 40:1. Samples were incubated for 30 min at 37 °C in a total volume of 10 μl containing 25 mM Tris-HCl pH 7.5, 50 mM NaCl, 1 mM EDTA pH 8.0, 1 mM DTT, 6% glycerol, 0.1% NP-40, 0.1 mg/ml BSA, RNaseOUT and 0.5 mM PMSF. Afterwards, the samples were run on a non-denaturing 6% polyacrylamide gel in 0.5 × TBE buffer at 4°C and visualized by a Typhoon imager scanner. Uncropped gel images are in Supplementary Fig. 1.
In vitro pull-down
To measure the hybrid-protein binding affinities, we performed the in vitro pull-down by using the radioactivity-labeled 60bp-long RNA-DNA hybrid described above. Flag-tagged proteins were purified from mammalian cells and immobilized to M2 magnetic beads (Sigma). In each reaction, 62.5 fmol hybrid was incubated with a specific protein at 1:10 molar ratio, and 1× binding buffer (25 mM Tris-HCl pH 7.5, 50 mM NaCl, 1 mM EDTA pH 8.0, 1 mM DTT, 0.1% NP-40, 0.1 mg/ml BSA) was added into the reaction to bring the total volume up to 150 μl. Samples were held on a rotator for 3 h at room temperature. After the binding reaction, magnetic beads were washed 3 times with 1× binding buffer to remove the unassociated hybrids. The hybrids still associated with the beads were eluted by proteinase K digestion which was performed in 10 μl 1× binding buffer with 0.1% SDS for 30 min at 37 °C. Eluted samples were analyzed by non-denaturing 6% polyacrylamide gel in 0.5× TBE buffer at 4°C followed by autoradiography imaging. Human RNaseH1 catalytic inactive mutant (D210N) and GFP served as positive and negative controls, respectively. Uncropped gel images are in Supplementary Fig. 1.
Cytoplasmic S9.6 and TLR3 IP
HeLa cells were fractionated as described48. The purity of the cytoplasmic portion was confirmed by analyzing LaminB1 protein using western blot. After fractionation, hybrids in the cytoplasm were enriched by the S9.6 antibody or the TLR3 antibody and 30 μl Protein A/G Agarose (Life Technologies) in IP buffer (150 mM KCl, 0.2 mM EDTA, 5 mM MgCl2, 20 mM Tris-HCl pH8.0, 10% glycerol) at 4°C overnight. Beads were washed three times in the IP buffer and immunoprecipitated material was eluted in Laemmli buffer. For hybrid competition S9.6 co-IP, 15 bp synthetic hybrid annealed by Com-RNA15 and Com-DNA15 were added into the samples at S9.6 IP step as described49, with concentration indicated. Oligonucleotide sequences and antibody amounts used for each IP reaction are in Supplementary Table 1. For RNase H digestion, 50 U/ml RNase H was added to the sample for 1 h at 37°C before the IP step. For detailed information on the S9.6 and TLR3 antibodies used in IPs see Supplementary Table 1.
Immunopurification of lysosomes (LysoIP)
HEK293T HA-Lyso cells expressing TMEM192–3xHA and Control-Lyso expressing TMEM192–2xFLAG41 were cultured as indicated. For each condition, 6×107 cells were processed per IP and 6 IPs performed in parallel41. Cells were quickly rinsed twice with PBS, scraped in 1 mL of PBS, pooled based on condition, then centrifuged at 1000 × g for 2 min at 4°C. Cells were resuspended and divided into six parts of 950 uL PBS. The cells were homogenized with 25 strokes of a 2 mL homogenizer. The homogenate was centrifuged at 1000 × g for 2 min at 4°C and the supernatant containing the cellular organelles including lysosomes was incubated with 100 uL of PBS prewashed anti-HA magnetic beads (ThermoScientific) on a rotator shaker for 3 min at 4°C. IPs were washed thrice with PBS on a DynaMag Spin Magnet. Beads with bound lysosomes were then resuspended in 400 μl DRIP elution buffer with 20 μl Proteinase K, incubated for 1.5 h at 50°C and nucleic acids purified by phenol-chloroform extraction, before continuing with the cytoDRIP protocol. For protein lysates, 2.5% total cells were reserved for the whole-cell fraction. The remaining cells were used for LysoIP as described above, except after the final wash, beads with bound lysosomes were resuspended in 80 μl of lysis buffer (50 mM HEPES pH 7.4, 1% Triton X-100, 10 mM β-glycerol phosphate, 10 mM pyrophosphate, 1.5 mM NaF, 40 mM NaCl, 2 mM EDTA and cOmplete Protease Inhibitor Cocktail), incubated for 30 min on ice, and the supernatant recovered. For the whole-cell fraction, lysis buffer was added to the samples for 30 min and protein extracts recovered after centrifugation at maximum speed for 10 min at 4°C. Uncropped gel images are in Supplementary Fig. 1. Antibodies used in LysoIP are listed in Supplementary Table 1.
Caspase-3 activity
7,000 HeLa cells were seeded into triplicate wells of a 96-well plate containing the transfection reagent-siRNA mixture. Media was refreshed the next morning. 48 h after siRNA transfection, caspase-3 activity was measured by Apo-ONE® Homogeneous Caspase-3/7 Assay’ (Promega) according to manufacturer’s instructions.
Cloning of NLS- and NES- tagged RNase H
For NLS-tagged RNase H, cDNA fragments containing wild type (WT) human RNase H1 and D201N catalytic dead mutant without the first 27 amino acids mitochondrial localization signal were amplified by PCR. Two SV40 nuclear localization signal (NLS) (CCCAAAAAGAAACGCAAAGTG) were introduced by forward primer at the PCR step. Primers used in PCR amplification are listed in Extended Data Table 1. For NES-tagged RNase H, the sequence encoding E.coli. RNaseHI was tagged with a nuclear export signal (NES) (CTGTCCTCCCACTTCCAGGAGCTGTCCATC) at the C-terminal end. Both NLS- and NES- tagged DNA fragments were then cloned into the pEGFP-N2 vector. The DNA fragments containing RNaseH and EGFP were then moved into a pLVX-tight-puro vector, allowing us to establish stable cell lines with these plasmids via lentiviral infection. Nuclear and cytoplasmic localization of the proteins was confirmed by fluorescence microscopy (Extended Data Fig. 7e, i, Extended Data Fig. 10j). A vector only expressing EGFP was used as mock control.
Western blot
Cells were lysed in lysis buffer (300 mM KCl, 0.2 mM EDTA, 5 mM MgCl2, 20 mM Tris-HCl pH8.0, 10% glycerol) with proteinase and phosphatase inhibitors (Sigma). Protein samples were then sonicated with a probe-type ultrasonicator and analyzed by SDS-PAGE as described50. Chemiluminescence was detected by exposure to an X-ray film. Representative blots are shown in the figures. Antibodies used in western blot are in Supplementary Table 1. Uncropped gel images are in Supplementary Information Fig. 1.
Construction of HeLa auxin-inducible XPG degron
To insert an auxin inducible degron (AID) downstream of XPG coding sequence in genomic DNA, guide DNAs (gDNAs) targeting the 3′ UTR of human XPG gene were designed using Zhang Lab design resources (https://zlab.bio/guide-design-resources). gDNA oligos with BbsI overhangs were annealed and ligated into pSpCas9(BB)-2A-Puro(PX459) V2.0 (no. 62988, Addgene). The homology arms flanking the XPG 3′UTR and overwriting the stop codon were produced by PCR with Phusion High-Fidelity DNA polymerase (NEB) using the XPG 5′ arm or XPG 3′ arm forward and reverse primers (Extended Data Table 1). The amplified XPG 5’ and 3’ arms were then assembled together with a fragment encoding EGFP-AID and DNA backbone by using HiFi DNA Assembly (NEB). The EGFP-AID fragment was inserted between the XPG 5′ arm and XPG 3′ arm designed to be inserted into the genome by homology-directed repair. All these plasmids were transfected into HeLa cells using FuGENE HD. At 24 h following transfection, cells were selected with 1 μg/mL puromycin for 48 h, and then 14 days after transfection GFP positive cells were selected by FACS. Homozygous clones were identified by PCR and western blot with the XPG antibody. To stably express OsTIR1, homozygous clones with EGFP-AID successfully inserted were infected with lentivirus expressing both OsTIR1 and blue fluorescent protein (BFP). BFP positive cells were obtained by FACS.
Construction of HCT116 auxin-inducible XPG degron
HCT116 cells expressing degron-tagged XPG were generated by transfecting HCT116-OsTIR1 cells51 with pLentiCRISPR-V2 plasmid52 expressing Cas9 and an sgRNA targeting the XPG C-terminus (AAGGAAACTAAGACGTGCGA) and with two homology-directed repair constructs based on pMK289 and pMK290 plasmids (a gift from Masato Kanemaki51) containing mAID-mClover sequence and a hygromycin or neomycin resistance cassette flanked by 200 bp XPG homology arms. A homozygous knock-in cell line was obtained after selection with G418 and hygromycin, which was verified by genotyping and sequencing.
Establishing BAX−/−BAK−/− double-knockout cell lines
Cell lines were generated as previously described15. In brief, HeLa and MCF10A cells were co-transfected with two plasmids, gifts from the Sfeir lab (Addgene plasmid #167296 and #167295). Each of them contains the sequence encoding Cas9 and two sgRNAs targeting Bax (GCTGCAGGATGATTGCCGCCG and GTCTGACGGCAACTTCAACTG) or Bak (GCATGAAGTCGACCACGAAG and GGCCATGCTGGTAGACGTGT), respectively. 48 h after transfection, cells were then treated with three drugs, A-1331852, ABT-199 and S63845 (MedChem Express). Hela cells were treated with 1 μM each of drug and MCF10A cells with 0.5 μM each of drug, and surviving cells were selected.
CRISPR–Cas9 knockout cell lines
To establish cGAS and TLR3 knockout cell lines, we first generated Hela cells stably expressing Cas9. For this purpose, cells were infected with a lentivirus encoding Cas9 and a blasticidin resistance marker (Lentiviral Prep #52962-LV, Addgene). Next, negative control sgRNA (TrueGuide™ sgRNA A35526, Thermo Fisher) and sgRNAs targeting cGAS or TLR3 (see Supplementary Table 1) were transfected into the prepared Cas9 stable cell line using Lipofectamine RNAiMax. Cells were then split to 15 cm dishes and single clones were selected and validated by western blot. Two clones from each group were used in experiments.
Statistical analysis and reproducibility
All box and whisker plots demarcate the median (center line), 75 and 25 percentiles (upper and lower bounds, respectively), and min and max values (whiskers). Here, two-tailed Mann-Whitney U tests were performed to determine statistical significance of three biologically independent replicates in aggregate. Cell numbers per condition are found in the figure legends. For all bar graphs, statistical analyses were performed with GraphPad Prism v9.3.1 or Python v3.7.13 using SciPy v1.7.3. Bar graphs represent the mean ± s.d. When comparing two samples (aggregate of three biologically independent experiments), unpaired, two-tailed t-tests were performed. Each western blot, cytoDRIP blot, in vitro binding assay or coimmunoprecipitation has been repeated at least three times as biologically independent experiments (Figures 1c–k, 3a, c, e, g, h, j, 4a, c–i, l, m; Extended Data Figures 1a, d–j, m, 2a, c, e, h, j–m, 4k, 7a–d, g–k, m, 8a, c, e, f, j–m, 9a–k, 10b, c, h, i, m–o). Immunofluorescence experiments shown in Figure 1a and Extended Data Figure 1c, k–l depict representative images and quantifications are the aggregate of three biological replicates. Other micrographs (Extended Data Figures 1b, 2n, 7e, l, 10j) were performed once as proof of concept examples. No statistical methods were used to determine sample size. Experiments were not randomized, nor were the investigators blinded to allocation. All data were assembled into figures with Adobe Illustrator CS6.
Extended Data
Supplementary Material
ACKNOWLEDGEMENTS
We thank Joanna Wysocka, Stephan Hamperl, and Julie Sollier for helpful discussions and comments. We also thank Miaw-Sheue Tsai (GFP-dRH) and the Straight lab (help in designing AID-XPG in HeLa).
FUNDING
This work was supported by: Leukemia and Lymphoma Society [5455-17 to M.P.C.]; National Institutes of Health [GM119334 to K.A.C., S10OD018220 to the Stanford Functional Genomics Facility, T32-CA09302 to M.J.B., T32-HG000044 to C.L., DP2-CA271386 to M.A-R]; Stanford Cancer Institute, an NCI-designated Comprehensive Cancer Center, to M.A-R and M.P.C; Korea Research Institute of Standards and Science [KRISS-GP2021-0003-10 to J-H.C.], National Research Foundation of Korea (MSIT) [NRF-2020R1A2C1101575 to J-H.C.], National Science Foundation [GRFP to C.L], Jane Coffin Childs Memorial Fund for Medical Research [61-1755 to J.R.B], gravitation program CancerGenomiCs.nl from the Netherlands Organisation for Scientific Research (NOW) and the Oncode Institute which is partly financed by the Dutch Cancer Society to W.V., and the V Foundation [D2018-017 to K.A.C.]. M.A-R is a Terman Fellow and Pew-Stewart Scholar. K.A.C. is an ACS Research Professor.
Footnotes
Competing Interests
K.A.C. is a scientific advisory board member of RADD Pharmaceuticals. M.A-R. is a scientific advisory board member of Lycia Therapeutics. The other authors declare no competing interests.
CODE AVAILABILITY
Further code information is available on request from the authors.
ADDITIONAL INFORMATION
Supplementary Information is available for this paper. Correspondence and requests for materials should be addressed to Karlene A. Cimprich.
DATA AVAILABILITY
All sequencing data generated in this work have been deposited in the Gene Expression Omnibus (GEO) under the accession number GSE178841. For nuclear DRIP-seq, datasets under accession number GSE134084 were used from https://doi.org/10.1093/nar/gkaa500.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
All sequencing data generated in this work have been deposited in the Gene Expression Omnibus (GEO) under the accession number GSE178841. For nuclear DRIP-seq, datasets under accession number GSE134084 were used from https://doi.org/10.1093/nar/gkaa500.