Skip to main content
Elsevier Sponsored Documents logoLink to Elsevier Sponsored Documents
. 2020 Feb 18;30(7):2094–2105.e9. doi: 10.1016/j.celrep.2020.01.087

Sen1 Is Recruited to Replication Forks via Ctf4 and Mrc1 and Promotes Genome Stability

Rowin Appanah 1, Emma Claire Lones 1, Umberto Aiello 2, Domenico Libri 2, Giacomo De Piccoli 1,3,
PMCID: PMC7034062  PMID: 32075754

Summary

DNA replication and RNA transcription compete for the same substrate during S phase. Cells have evolved several mechanisms to minimize such conflicts. Here, we identify the mechanism by which the transcription termination helicase Sen1 associates with replisomes. We show that the N terminus of Sen1 is both sufficient and necessary for replisome association and that it binds to the replisome via the components Ctf4 and Mrc1. We generated a separation of function mutant, sen1-3, which abolishes replisome binding without affecting transcription termination. We observe that the sen1-3 mutants show increased genome instability and recombination levels. Moreover, sen1-3 is synthetically defective with mutations in genes involved in RNA metabolism and the S phase checkpoint. RNH1 overexpression suppresses defects in the former, but not the latter. These findings illustrate how Sen1 plays a key function at replication forks during DNA replication to promote fork progression and chromosome stability.

Keywords: DNA replication, RNA transcription, DNA:RNA hybrids, replisome, Ctf4, Mrc1, Sen1, RNAse H, Hpr1, S phase checkpoint

Graphical Abstract

graphic file with name fx1.jpg

Highlights

  • The N-terminal domain of Sen1 mediates replisome association

  • Ctf4 and Mrc1 bind to Sen1 and promote its recruitment to the replisome

  • The sen1-3 allele abrogates replisome binding, but not transcription termination

  • sen1-3 cells are sensitive to high levels of R-loops and defects of S phase checkpoint


Appanah et al. identify the transcription termination helicase Sen1 as a bona fide component of the replisome. Sen1 binds the replisome via its N-terminal domain and Ctf4 and Mrc1. The allele sen1-3 breaks this interaction without affecting transcription termination. sen1-3 cells show sensitivity to R-loops levels and increased genomic instability.

Introduction

The maintenance of genome stability requires the complete and faithful duplication of DNA in every cell cycle. Yet several obstacles impede the progression of replication forks (RFs), and these must be removed to avoid stalling and increased chromosome instability. A significant barrier to RF progression is transcription. First identified in bacteria, collisions between RFs and transcription bubbles also represent a major obstacle for DNA synthesis in eukaryotes, leading to defects in chromosome maintenance and an increase in levels of recombination (Liu and Alberts, 1995, Helmrich et al., 2011, Helmrich et al., 2013, Prado and Aguilera, 2005, Kim et al., 2010, Hamperl et al., 2017, Tran et al., 2017). In order to complete the full duplication of the chromosomes, replisomes must therefore overcome transcriptional barriers, removing both the DNA-bound RNA polymerase subunits and any DNA:RNA hybrids formed during transcription. These hybrids, usually limited to eight base pairs, occur naturally during RNA transcription and are typically removed when the RNA polymerase is disengaged from the DNA (Aguilera and García-Muse, 2012, Westover et al., 2004).

At specific chromosomal loci, extended DNA:RNA hybrids can also form behind the site of RNA synthesis, through the re-annealing of nascent RNA to the template DNA and the displacement of the non-template DNA. These structures, named R-loops, form preferentially at highly transcribed genes with a high GC skew and can extend up to 1 kb in higher eukaryotes (Aguilera and García-Muse, 2012, Skourti-Stathaki et al., 2014). Formation of R-loops is favored by head-on collisions between RFs and actively transcribing complexes (Hamperl et al., 2017, Lang et al., 2017), and their non-physiological accumulation, coupled to chromatin modification, is deleterious for genome stability (García-Pichardo et al., 2017). Several pathways minimize the formation and stability of R-loops. For instance, the promotion of transcription processivity (Hazelbaker et al., 2013), transcription termination (Kim et al., 2004, Luke et al., 2008), timely processing, export or degradation of nascent mRNA (Huertas and Aguilera, 2003, Pfeiffer et al., 2013), or preventing torsional stress that arises during transcription (El Hage et al., 2010, El Hage et al., 2014) all minimize R-loops’ levels. Nevertheless, once formed, R-loops must be removed. A key role in R-loop removal is fulfilled by the RNase H enzymes that specifically digest RNA molecules within DNA:RNA hybrids (Cerritelli and Crouch, 2009). In addition, several helicases can unwind DNA:RNA hybrids in vitro, including Sgs1 (Chang et al., 2017) and Pif1 (Boulé and Zakian, 2007). One such helicase, Sen1, is believed to play an essential role in the removal of R-loops from the DNA in yeast (Mischo et al., 2011).

Sen1 is an Upf1-like helicase that plays a key role in transcription termination (Jankowsky, 2011, Steinmetz et al., 2006, Ursic et al., 1997, Porrua and Libri, 2013). Sen1 binds to the free 5′ ends of either RNA or DNA substrates and unwind both double-stranded DNA (dsDNA) and DNA:RNA hybrids (Han et al., 2017, Leonaitė et al., 2017, Martin-Tumasz and Brow, 2015, Porrua and Libri, 2013). In vitro analysis shows that Sen1 has high activity but limited processivity on DNA:RNA hybrid substrates (Han et al., 2017). Mechanistically, when Sen1 engages with nascent RNA exiting from a stalled RNA polymerase II (RNAPII), the helicase seemingly exerts a force on the polymerase to “push” it, either overcoming the stalling of RNAPII or disengaging it from the template DNA (Porrua and Libri, 2013, Han et al., 2017). In vivo data also suggest that Sen1 is capable of removing RNAPII from the DNA it is bound to, thus terminating transcription (Steinmetz et al., 2006, Schaughency et al., 2014, Hazelbaker et al., 2013). In fact, a mutation in the catalytic domain of Sen1 (sen1-1) confers defects in transcription termination at non-permissive temperatures, leading to extensive readthrough of several transcription units (Steinmetz et al., 2006), accumulation of R-loops, and increased recombination (Mischo et al., 2011). Because of these defects, the viability of sen1-1 cells depends on several repair factors (Mischo et al., 2011, Alzu et al., 2012). Moreover, depletion of Sen1 leads to slow DNA replication and the accumulation of abnormal structures on 2D gels (Alzu et al., 2012, Brambati et al., 2018).

Given its relatively low abundance and processivity (Mischo et al., 2018, Han et al., 2017), Sen1 needs to be recruited at, or close to, sites where it can enact its biological function. Sen1 is recruited to the termination sites of cryptic-unstable transcripts (CUTs) and small nucleolar RNAs (snoRNAs) by binding to Nab3 and Nrd1, which both dock onto nascent RNA (Arigo et al., 2006, Porrua et al., 2012, Creamer et al., 2011). Nrd1 also interacts with Rpo21Rpb1 (the largest subunit of RNAPII) early in the transcription cycle (Vasiljeva et al., 2008), thus restricting Sen1-dependent termination to short transcription units (Gudipati et al., 2008). Sen1 also promotes termination of some genes downstream of the polyadenylation site, acting with Rat1 (Mischo et al., 2011, Rondón et al., 2009), possibly by directly binding Rpo21 via its N-terminal domain (Chinchilla et al., 2012). Finally, it is likely that Sen1 is recruited at other genomic sites in a transcription-independent fashion. The human ortholog of Sen1 (Senataxin) co-localizes with 53BP1 to sites of DNA damage in a checkpoint-dependent manner (Yüce and West, 2013). Moreover, in S. cerevisiae, Sen1 co-localizes with replisome components and sites of bromodeoxyuridine (BrdU) incorporation (Alzu et al., 2012). However, the mechanism through which Sen1 is recruited at RFs has yet to be described. The significance of recruiting Sen1 to RFs is also poorly understood, as it has been impossible thus far to determine whether the defects in DNA replication upon inactivation of Sen1 are an indirect consequence of deregulated transcription termination, of a failure in R-loop removal, or the direct result of an important function of Sen1 at RFs. Here, we show that Sen1 binds the replisome during S phase through its N-terminal domain, map its binding site, generate a mutant that breaks this interaction, and explore the consequences of the loss of the helicase from RFs on chromosome stability.

Results

Sen1 Interacts with the Replisome via Its N-Terminal Domain

The replisome is a complex and dynamic machine that relies on multiple interactions between its constituent proteins (Bell and Labib, 2016, Burgers and Kunkel, 2017). As part of a mass spectrometry (MS) screen to identify factors transiently or weakly associated to the core replisome, we observed that Sen1 co-purifies with the CMG helicase in S. cerevisiae (Figure S1A). To verify the MS data, we immunoprecipitated (IPed) Sen1 from extracts of yeast cells synchronized in G1, S, and G2. We observed that Sen1 interacted with replisome components only in S phase (Figure 1A). Immunoprecipitation (IP) of the GINS component Sld5 corroborated this observation (Figure S1B). Sen1 interacts with replisomes independently of either Nrd1 or Nab3 (Figures S1C and S1D) and independently of ongoing transcription (Figures S1E and S1F), as previously observed (Alzu et al., 2012). To further explore this interaction and its biological function, we mapped the interaction sites both in the replisome and Sen1.

Figure 1.

Figure 1

Sen1 Interacts with the Replisome during S Phase through Its N-Terminal Domain

(A) SEN1 or SEN1-TAP cells were arrested in G1, harvested immediately, or released for either 30 min (S phase) or 60 min (G2 phase). Cell extracts and IP material were analyzed by immunoblotting (IB).

(B) Schematic of Sen1 constructs used.

(C) TAP-tagged fragments of Sen1, IPed from cells in S phase, were analyzed by IB.

(D) TAP-tagged fragments of Sen1 were analysed as above, except 4× cells were used for the IP of the fragments containing the last 330 C-terminal amino acids.

Sen1 contains an extended N-terminal domain and an essential and conserved helicase domain (Leonaitė et al., 2017). To identify a region of Sen1 that is sufficient for binding replisomes, we generated TAP-tagged constructs of Sen1, expressed under an inducible GAL1 promoter (Figure 1B). All fragments containing the helicase domain folded correctly and rescued sen1-1 lethality at non-permissive temperatures, despite constructs containing the last 330 amino acids of the protein being highly labile (Figures S1G and S1H). We then assessed the ability of the various fragments to interact with the replisome and observed that the N-terminal domain (residues 2–931) of Sen1 was both sufficient and necessary for association with replisomes (Figures 1C and 1D). Similarly, Sen1 (2–931) co-precipitated specifically with replisomes isolated from S phase cells by IP of Mcm3 (a subunit of the CMG helicase) (Figures S1I and S1J). Thus, Sen1 (2–931) contains an interaction site for replisome components.

Sen1 Binding to the Replisome Depends on Ctf4 and Mrc1

To identify specific proteins to which Sen1 binds within the replisome, we compared the G1 and S phase interactome of Sen1 (2–931) via MS analysis. As expected, Sen1 (2–931) IPed with replisomes in S phase (Figure 2A). Interestingly, Ctf4 and GINS co-purified with the bait in G1 as well. This was confirmed by immunoblotting (Figures 2B and 2C). Because Ctf4 and GINS interacts throughout the cell cycle (Gambus et al., 2009), we next analyzed whether Sen1 binds preferentially to one of the components. The interaction between Ctf4 and Sen1 in G1 was unaffected by inactivating GINS via the psf1-1 allele (Figure 2B; Takayama et al., 2003), but GINS no longer IPed with Sen1 (2–931) in G1 in the absence of Ctf4 (Figure 2C). These data indicate that Sen1 (2–931) binds to Ctf4 in the absence of other replisome components.

Figure 2.

Figure 2

Sen1 Binds the Replisome Components Ctf4 and Mrc1

(A) MS analysis of the proteins co-purifying with Sen1 (2–931) was conducted in S and G1 phases.

(B) IB analysis of the proteins IPed with Sen1 (2–931) and an empty control in strains carrying the PSF1 or psf1-1 allele. Cells were arrested in G1, shifted to 37°C for 1 h (G1), and then released into S phase for 20 min at 37°C (S).

(C) Sen1 (2–931) binding of GINS in G1 depends on Ctf4. IB analysis of the proteins IPed with Sen1 (2–931) and an empty control, with or without CTF4. Cells were arrested in G1 and released in S phase for 20 min at 30°C. Ctf4 and TAP-Sen1 (2–931) have similar sizes and run closely in gel electrophoresis.

(D) IB analysis of the proteins interacting with TAP-Sen1 (2–931) in the presence or absence of origin firing and CTF4. Cells were treated as described in Figure S2B. G1 samples were collected before galactose induction.

(E) Wild-type, mrc1Δ, or ctf4Δ cells expressing TAP-Sen1 (2–931) were arrested in G1. IB analysis of cell extracts and IPs is shown.

(F) Wild-type, ctf4Δ, mrc1Δ, and ctf4Δ mrc1-AID strains were arrested in G1, treated for 1 h with 0.5 mM auxin indole-3-acetic acid (IAA) final concentration, and released in S phase. IB analysis of cell extracts and IPs is shown.

(G) Quantification of the relative signal of Sen1-9MYC versus the TAP-Sld5 signal, normalized against the wild type.

(H) Experiments were conducted as in (F). Wild-type, ctf4Δ, and ctf4Δ mrc1-AID strains, carrying an untagged or a SEN1-TAP allele, were used. Asterisk indicates a non-specific band.

Interestingly, Sen1 (2–931) retained some affinity to the replisome in the absence of Ctf4 (Figure 2C, right panel), independently of DNA (Figure S2A). This suggests that Sen1 interacts with at least another subunit of the replisome. To screen for such factors, we analyzed whether any component of the replisome binds to Sen1 (2–931) in cells progressing into S phase in the absence of origin firing. We used td-sld3-7 cells that cannot initiate chromosome replication at 37°C following inactivation and degradation of td-Sld3-7 (Kamimura et al., 2001, Kanemaki and Labib, 2006; Figure S2B). In control cells, Sen1 (2–931) co-purified with all tested replisome components in S phase (Figure 2D). In td-sld3-7 cells, Sen1 IPed predominantly with Ctf4 and GINS but also weakly with the replisome component Mrc1. Strikingly, Sen1 (2–931)’s affinity for Mrc1 increased in a td-sld3-7 ctf4Δ background. We confirmed this in cells arrested in G1 as well (Figure 2E). These observations suggest that both Ctf4 and Mrc1 are binding partners of Sen1 in the replisome. Deletion of either replisome component leads to a decrease in replisome association to Sen1, even following crosslinking to capture weak interactions (Figures S2C and S2D). Because ctf4Δ mrc1Δ cells are inviable (Gambus et al., 2009), we generated a ctf4Δ mrc1-AID strain, with the auxin-degron fused to Mrc1 (Nishimura et al., 2009) to allow rapid depletion of the protein. The association of Sen1 with the replisome was greatly reduced, although not entirely abolished, in cells with no Ctf4 and Mrc1 (Figures 2F–2H). These data indicate that, although other accessory binding partners might exist within the replisome, Sen1 mainly binds via Ctf4 and Mrc1.

sen1-3 Fails to Bind the Replisome and Is Sensitive to Increased Levels of DNA:RNA Hybrids

Deletion of the N-terminal domain of Sen1 causes pronounced defects in cell growth (Figure S3A). Thus, to investigate the role of Sen1 at RFs, we sought to generate a separation of function allele that is specifically defective for binding to replisomes. By generating truncations of the N-terminal domain, we identified that Sen1 (410–931) was the fragment with the highest affinity for replisomes although Sen1 (622–931) was the smallest construct still able to bind (Figures 3A–3C). By comparison with yeast orthologs of Sen1 (Figure S3B), we identified conserved residues within this region and targeted them for mutagenesis, creating hemagglutinin (HA)-tagged alleles of SEN1 that were expressed under the strong ACT1 promoter in sen1Δ cells. All the tested mutations supported cell growth, but one allele, combining mutations W773A E774A W777A (henceforth referred to as sen1-3) was uniquely defective for interaction with replisomes (Figures 3D and S3C). Similar results were obtained when the sen1-3 mutation was introduced at the endogenous SEN1 locus (Figures 3E and 3F), even following crosslinking (Figure S3D). Importantly, Sen1-3 retained wild-type affinity for RNAPII (Rpo21). Hence, sen1-3 is an allele that abrogates the interaction between Sen1 and replisomes.

Figure 3.

Figure 3

Sen1-3 Does Not Interact with the Replisome

(A) Summary of the ability of N-terminal fragments of Sen1 to interact with the replisome.

(B) Cells carrying different GAL1-3HA-SEN1 fragments and a TAP-MCM3 allele were arrested in G1 and released into S phase. The samples were then used for IPs.

(C) Sen1 fragments were analysed as in (B).

(D) Cells carrying ACT1-3HA-SEN1 wild-type or mutated alleles at an ectopic locus were synchronously released into S phase. IB analysis of cell extracts and IPs is shown.

(E) Cells carrying a SEN1, SEN1-TAP, or sen1-3-TAP allele were arrested in G1 and released into S phase. IB analysis of cell extracts and IPs is shown.

(F) Fluorescence-activated cell sorting (FACS) samples for the experiment in (E).

Next, we assessed whether the sen1-3 mutation affects transcription termination, similarly to sen1-1 cells (Mischo et al., 2011). We assayed the efficiency of termination at two model Nrd1-Nab3-Sen1 target genes, coding for a snoRNA (SNR13) and a CUT (NEL025c) (Thiebaut et al., 2006, Ursic et al., 1997). Because termination defects lead to longer RNAs that can be targeted by the nonsense-mediated decay, strains lacking UPF1 were also tested (Culbertson and Leeds, 2003). Cells with the sen1-3 allele presented no defects in transcription termination, unlike sen1-1 at 37°C (Figures 4A and S3E). Defects in transcription termination were also analyzed genome-wide by mapping the distribution of RNAPII via the sequencing of nascent RNAs using CRAC (crosslinking and analysis of cDNAs) (Granneman et al., 2009, Candelli et al., 2018). Metagene analysis using a set of validated CUTs (Table S1) shows very similar RNAPII profiles between SEN1 and sen1-3 cells, although a clear general termination defect is observed upon depletion of Nrd1 (Figures 4B and S3F). These data indicate that sen1-3 is proficient in terminating RNAPII transcription.

Figure 4.

Figure 4

The sen1-3 Allele Is Proficient in RNAPII Termination but Is Essential in the Absence of RNase H Activity

(A) sen1-3 cells are proficient for transcription termination. qRT-PCR analysis of RNAs derived from the strains indicated is shown. The ratio of the readthrough fraction (position RT) over the total amount of SNR13 RNA is shown (triplicate biological repeats). n.s., not significant.

(B) Metagene analysis of RNAPII density detected by CRAC on CUTs. Average read counts are plotted on regions aligned to both the transcription start site (TSS) (left) and the transcript end site (TES) (right) of the CUTs (reads count in Table S1). The profiles of RNAPII density following Nrd1 depletion (nrd1-AID + auxin) are included for comparison (dataset from Candelli et al., 2018). nrd1-AID strain behaves as a hypomorphic allele.

(C) Examples of the meiotic progeny of the indicated diploids strains are shown.

(D) Serial dilution spotting of the indicated strains is shown. rnh1Δ rnh201Δ is abbreviated as rnhΔΔ.

(E) Serial dilution spotting of the indicated strains is shown. Cells (+RNH1) carry GAL-RNH1 inserted ectopically.

(F) The indicated strains, carrying a RAD52-GFP allele with or without the GAL-RNH1 construct, were grown as shown in Figures S4A–S4D. Samples were taken at the indicated time points, fixed, and analyzed for the presence of Rad52 foci (triplicate biological repeats). n.s., not significant; ∗∗p < 0.05; ∗∗∗p < 0.01.

(G) The indicated strains were grown to exponential phase at 28°C; DNA:RNA hybrids were analyzed by immunofluorescence of chromosome spreads (triplicate biological repeats). Samples were treated in parallel with RNase H.

We then analyzed how the loss of Sen1 from replisomes affects cells. SEN1 and sen1-3 cells displayed comparable cell growth kinetics and sensitivity to both hydroxyurea (HU) and methyl methanesulfonate (MMS). One possibility might be that Sen1 at RFs is redundant with the enzymatic activity of other factors, such as the RNase H1 and H2 enzymes. We crossed rnh1Δ rnh201Δ cells with SEN1 or sen1-3 strains and analyzed their meiotic progeny. Although single deletion of either RNH1 or RNH201 combined with sen1-3 did not present any synthetic defects, sen1-3 rnh1Δ rnh201Δ cells were inviable (Figure 4C), similarly to rnh1Δ rnh201Δ sen1-1 mutants (Figure S3G). Overexpression of sen1-3 under the strong ACT1 promoter suppresses the synthetic lethality of sen1-3 with rnh1Δ rnh201Δ, suggesting that higher levels of Sen1 activity can compensate for lack of the specific replisome-tethering mechanism. Yet these cells display growth defects at 37°C, with cells accumulating in G2/M and triggering checkpoint activation (Figures S3H–S3J). Moreover, ACT1-sen1-3 is unable to suppress the hyper-sensitivity of rnh1Δ rnh201Δ to HU and is synthetic defective for MMS sensitivity (Figure 4D). Altogether, these findings suggest that Sen1 at RF might either be redundant with RNases H1 and H2 or become essential to deal with the DNA:RNA hybrids accumulating in the absence of RNase H.

To explore whether increased levels of DNA:RNA hybrids lead to synthetic defects in sen1-3 cells, we generated hpr1Δ sen1-3 cells. Hpr1 is a component of the THO complex involved in the processing and export of mRNA (Chávez et al., 2000). hpr1Δ mutants accumulate R-loops and show defects in transcription elongation (García-Benítez et al., 2017, Chávez and Aguilera, 1997, Chávez et al., 2000). hpr1Δ sen1-3 double mutants showed growth defects at higher temperatures and increased sensitivity to replication stress (Figure 4E). To explore whether defects arise during DNA replication, we analyzed the kinetics of Rad52 foci formation in cells released in S phase. The experiment was conducted at permissive temperatures (28°C) as hpr1Δ cells failed to synchronously bud at 35°C and 37°C. We observed that sen1-3 causes a small but statistically significant increase in recombination in late S phase, although hpr1Δ sen1-3 cells showed synthetic defects and an increase in recombination (Figures 4F and S4A–S4D). Interestingly, the increased rates of recombination and growth defects in hpr1Δ sen1-3 cells were suppressed by overexpression of RNH1 (Figures 4E and 4F), thus suggesting that DNA:RNA hybrids are toxic in these mutants.

To directly test the levels of DNA:RNA hybrids, we visualized them in chromosome spreads (Wahba et al., 2011). As previously observed, both rnh1Δ rnh201Δ and hpr1Δ mutants showed high levels of DNA:RNA hybrids (Figures 4G and S4E; Chan et al., 2014). Surprisingly, we did not observe any increase in the levels of DNA:RNA hybrids in hpr1Δ sen1-3 cells. Similar results were observed by slot-blot analysis (Figure S4F). Given that phenotypic suppression by RNase H overexpression is accepted as a marker for R-loops, these results suggest that the suppression of hpr1Δ sen1-3 by overexpression of RNH1 might occur by removing short or labile DNA:RNA hybrids, not readily detectable by the S9.6 antibody used in our analysis.

sen1-3 Cells Are Defective in Replication Fork Progression and Genome Stability in the Absence of MRC1

Because both sen1-1 and sen1-3 are synthetically lethal in the absence of RNH1 and RNH201, we wanted to explore whether other pathways, essential for maintaining cell viability in sen1-1 (Alzu et al., 2012, Mischo et al., 2011), are also important in sen1-3. Only a subset of deletion mutants described to negatively affect viability in sen1-1 cells showed robust defects in cell viability in sen1-3 cells (summarized in Figure 5A). Namely, we observed temperature sensitivity and increased sensitivity to DNA-damaging agents when sen1-3 was crossed with either mrc1Δ, ctf18Δ, or rad53Δ sml1Δ (Figure 5B).

Figure 5.

Figure 5

sen1-3 Presents Synthetic Defects with mrc1Δ, ctf18Δ, and rad53Δ, Leading to Increased Recombination and Mini-chromosome Loss

(A) Summary of the genetic interactions tested with the sen1-3 allele. Some double mutants (orange line) showed marked differences in temperature sensitivity and DNA damage sensitivity although others did not (green line).

(B) Examples of the defects observed with sen1-3. Serial dilution spotting of the indicated strains is shown. The double mutant rad53Δ sml1Δ is indicated as rad53Δ.

(C) The indicated strains were arrested in G1, shifted to 37°C for 1 h, and released in S phase at 37°C. FACS samples were taken at the indicated times. Red bar, length of DNA replication; green arrow, beginning of the end of mitosis.

(D) Cells, carrying a RAD52-GFP allele, were treated as in (C). Samples were taken at the indicated time points, fixed, and analyzed for the presence of Rad52 foci (triplicate biological repeats). ∗∗p < 0.05; ∗∗∗p < 0.01.

(E) Examples of the microscopy data of the experiment in (D). Scale bars represent 5 μm.

(F) Serial dilution spotting of the indicated strains is shown. Cells (+RNH1) carry an ectopic GAL1-RNH1 construct.

(G) RNH1 overexpression does not suppress the increase in recombination in mrc1Δ sen1-3 cells. Cell cultures were treated as in (C), except they were grown in YPGAL medium (triplicate biological repeats). ∗∗p < 0.05; ∗∗∗p < 0.01.

(H) The sen1-3 allele causes an increase in recombination. The cells were transformed with the plasmids pL or pLYΔNS. The ratio of the number of the colonies carrying a recombinant plasmid (LEU2) over the total number of cells carrying a plasmid (URA3) is shown.

(I) Cells were transformed with plasmids carrying an ADE2 marker and 1 or 2 origins. Percentage of white colonies over the total number of colonies scored is shown (a measure of genome stability; ∗∗∗p < 0.5 10−7).

Mrc1, Ctf18, and Rad53 are key components of the S phase checkpoint, and all three mutants confer temperature sensitivity in sen1-3 cells. To further explore the defects of mrc1Δ sen1-3 mutants, we analyzed the DNA replication dynamics of cells arrested in G1 and then released in S phase at 37°C. The mrc1Δ sen1-3 cells show a delay during DNA replication and accumulation of cells arrested in G2/M (Figure 5C). Correspondingly, we observed an increase in Rad52-GFP foci accumulating during the later stages of DNA replication, both in the mrc1Δ sen1-3 and ctf18Δ sen1-3 cells released in S phase at 37°C (Figures 5D and 5E). In addition, mrc1Δ sen1-3 and ctf18Δ sen1-3 cells showed an increase in cells carrying multiple foci of Rad52 (Figure S5A). Similar to what is seen in Figure 4F, we also observed a small but statistically significant increase in Rad52 foci in sen1-3 mutants compared to wild-type. To determine whether DNA:RNA hybrids contribute to the phenotypes observed in sen1-3 mrc1Δ, we repeated the experiments following the overexpression of RNH1. This failed to suppress the growth defects and the increase in recombination during S phase (Figures 5F, 5G, and S5B). Similar results were obtained when overexpressing the human ortholog of RNH1 (Figures S5C and S5D; Wahba et al., 2011, Bonnet et al., 2017).

To analyze whether the increased recombination observed during replication in sen1-3, mrc1Δ sen1-3, and hpr1Δ sen1-3 compared to SEN1 leads to an increase in genomic instability, we measured the rate of direct-repeat recombination using plasmids carrying partially overlapping fragments of the LEU2 gene separated by 39 or 3,900 nt (plasmids pL and pLYΔNS, respectively) (Mischo et al., 2011, González-Aguilera et al., 2008). We observed, as previously described, that recombination increased with the length of the transcript. Moreover, although mrc1Δ sen1-3 showed a modest increase in recombination compared to mrc1Δ for both plasmids, hpr1Δ sen1-3 showed greater increases in the rate of recombination (Figure 5H). Furthermore, we tested for defects in mini-chromosome maintenance by transforming a single-copy plasmid carrying an ADE2 gene and scoring for the rate of plasmid loss in the absence of selective pressure by measuring the rate of white colonies (carrying the plasmid) and red (without the plasmid). Cells carrying the sen1-3 allele showed higher levels of plasmid loss, exacerbated in the absence of MRC1 and HPR1 (Figures 5I and S5E). Strikingly, sen1-3 hpr1Δ completely failed to retain the plasmid. The addition of a second origin of replication did not rescue the chromosome maintenance defects, and overexpression of RNH1 only partially suppressed the defects in hpr1Δ sen1-3 cells (Figure S5F).

Discussion

Here, we have shown that Sen1 is a bona fide partner of the yeast replisome. The N-terminal domain mediates binding to replisomes, mainly via Ctf4 and Mrc1. Additional binding partners of Sen1 are likely because Sen1 shows some residual interaction with replisomes in the absence of Ctf4 and Mrc1. It is not yet clear whether multiple Sen1 molecules are recruited to RFs by independently binding separate subunits of the replisome with different affinities or whether multiple replisome components coordinately bind a single Sen1 to increase its strength of interaction. IPs of the N-terminal domain of Sen1 suggest a competition between Mrc1 and Ctf4 for Sen1 as Mrc1 binding increases in ctf4Δ cells (Figures 2D and 2E). This supports the multiple independent binding hypothesis. However, deletion of either CTF4 or MRC1 decreases overall binding of Sen1 to the replisome (Figures 2F, 2H, S2C, and S2D), compatible with a cooperative recruitment of Sen1. Interestingly, the mutation of three amino acids in sen1-3 abolishes binding to both Ctf4 and Mrc1. Thus, the mutated residues either correspond to the direct interaction site for both Ctf4 and Mrc1 or they cause a change in conformation of a larger section of Sen1, thus affecting two distinct binding surfaces for Ctf4 and Mrc1. Both hypotheses are compelling, and further work is needed to determine which is correct.

The sen1-3 allele is a separation of function mutant that breaks the interaction with the replisome without affecting the binding to RNAPII or transcription termination (Figures 3E, 4A, and 4B). However, we cannot exclude that sen1-3 might affect other Sen1 interactions beyond the replisome. In addition, minimal levels of interaction with replisomes might be retained in sen1-3 cells, thus weakening the severity of the phenotype observed. Nevertheless, this allele provides us with a tool to dissect the function of the helicase at RFs without affecting its catalytic activity and the bulk of its transcription functions.

It has been previously proposed (using the sen1-1 allele or Sen1 depletion) that Sen1’s presence at RFs is required to quickly remove the R-loops accumulating and interfering with RF progression (Alzu et al., 2012, Brambati et al., 2018, Mischo et al., 2011). In our experimental setting, however, loss of Sen1 from RFs did not show increases in DNA:RNA hybrids or dramatic defects in RF progression (Figures 4G and 5C). In fact, the loss of Sen1 from the replisome only leads to modest defects (small increases in post-replicative recombination and instability of mini-chromosomes; Figures 4F, 5D, and 5I). This suggests that when Sen1 is proficient in transcription termination, there might be enough redundancy at the RFs to deal with DNA:RNA hybrids. However, we observe lethality or severe growth defects when the sen1-3 allele is present in genetic backgrounds with high endogenous levels of R-loops, such as rnh1Δ rnh201Δ and hpr1Δ. This supports the idea of an important role for Sen1 in dealing with DNA:RNA hybrids at RFs. Surprisingly, we do not observe an increase in DNA:RNA hybrids levels in sen1-3 and in hpr1Δ sen1-3 cells (Figures 4G, S4E, and S4F). Moreover, although increased levels of R-loops have been described for top1Δ (El Hage et al., 2010), pif1Δ (Boulé and Zakian, 2007, Tran et al., 2017), sgs1Δ (Chang et al., 2017), or mlp1Δ (García-Benítez et al., 2017), these deletions do not show defects in cell viability or DNA damage sensitivity in combination with sen1-3 (Figure 5A). This suggests that not all increases in R-loops might be necessarily toxic in sen1-3 cells. One possibility is that different mutations might lead to dissimilar levels or distinct biochemical features of the R-loops. Moreover, different genetic backgrounds might lead to the accumulation of DNA:RNA hybrids at different sites of the genome (as recently observed; Costantino and Koshland, 2018). Therefore, Sen1 association with the replisome might become critical for the timely resolution of some DNA:RNA hybrids in specific circumstances.

The recruitment of Sen1 at RFs also appears to promote DNA replication independently of R-loops. In fact, in sen1-3 cells, overexpression of RNH1 fails to suppress the higher levels of recombination observed in sen1-3 (Figures 4F and 5D). Given the prominent role of Sen1 in transcription termination described in the literature, it is tempting to speculate that Sen1 might remove transcribing or stalled RNA polymerases at RFs (Han et al., 2017, Porrua and Libri, 2013). Alternatively, Sen1 might be required to remove other barriers to fork progression, or RNH1 overexpression might not be sufficient to remove DNA:RNA hybrids present at RF with kinetics similar to Sen1, thus leading to increased fork stalling. In either case, we observe that cells rely on the functions of Mrc1 to promote fork progression and minimize DNA recombination in a sen1-3 background (Figures 5B–5G). Interestingly, we observe that three key mediators and effectors of the S phase checkpoint (MRC1, CTF18, and RAD53) genetically interact with sen1-3. We did not observe any synthetic defects between sen1-3 and either mec1Δ sml1Δ, tel1Δ, or mec1Δ sml1Δ tel1Δ (not shown). This raises the possibility that Mrc1, Ctf18, and Rad53 might be involved in the response to defects arising in sen1-3 cells independently of Mec1 and Tel1. Alternatively, the synthetic defects observed are the consequence of other deficiencies in these cells, independent of the S phase checkpoint response. For example, Mrc1 has a key role in RF progression (Yeeles et al., 2017, Hodgson et al., 2007, Duch et al., 2018).

Given that eukaryotic orthologs of Sen1 contain an extended non-catalytic N-terminal sequence (the function of which is still largely unknown), it will be interesting to investigate further whether Senataxin or any of its paralogs (Aquarius, IGHMBP2, RENT1, and ZNFx1) associate with replisomes in higher eukaryotes.

STAR★Methods

Key Resources Table

REAGENT or RESOURCE SOURCE IDENTIFIER
Antibodies

Anti-mouse-HRP Cell Signaling Technology #7076; RRID:AB_330924
Anti-sheep-HRP Sigma A3415; RRID:AB_258076
Anti-Cdc45 Labib Lab N/A
Anti-Csm3 Labib Lab N/A
Anti-Ctf4 Labib Lab N/A
Anti-Dpb2 Labib Lab N/A
Anti-FLAG Sigma F3165; RRID:AB_259529
Anti-HA (12CA5) Sigma 11583816001; RRID:AB_514505
Sheep IgG Sigma S1265; RRID:AB_261431
Anti-Mcm3 Labib Lab N/A
Anti-Mcm4 Labib Lab N/A
Anti-Mcm5 Labib Lab N/A
Anti-Mcm6 Labib Lab N/A
Anti-Mrc1 Labib Lab N/A
Anti-MYC Sigma M4439; RRID:AB_439694
Anti-Nrd1 Libri Lab N/A
Anti Nab3 Libri Lab N/A
Anti-Psf1 Labib Lab N/A
Anti-Pob3 Labib Lab N/A
Anti-Pol1 Labib Lab N/A
Anti-Pol2 De Piccoli Lab N/A
Anti-Rad53 Abcam ab166859; RRID:AB_2801547
Anti-Rpo21 Novus Biologicals NB200-598SS; RRID:AB_2252678
Anti-Sld5 K. Labib N/A
Anti-TAP-HRP Sigma P1291; RRID:AB_1079562
Anti DNA:RNA hybrids S9.6 Kerafast ENH001; RRID:AB_2687463
Cy3-conjucated anti-mouse Jackson laboratories #115165003; RRID:AB_2338680
Anti-dsDNA Abcam ab27156; RRID:AB_470907

Chemicals, Peptides, and Recombinant Proteins

α-factor Pepceuticals N/A
AcTEV protease Thermo-Fischer 12575015
Calmodulin Sigma A6112
Complete protease inhibitor cocktail Roche 11 836 153 001
Dithiothreitol Sigma D0632
Dynabeads Invitrogen 14302D
Ethidium bromide Sigma E1510
Hydroxyurea Sigma H8627
Methyl methanesulfonate Sigma 129925
Propidium iodide Sigma P4864
Protease Inhibitor Cocktail Sigma P8215
Sodium fluoride Thermo-Fischer S299500
Zymolyase Zymo research #E1005
RNase H Invitrogen #18021071
Sodium glycerophosphate Johnson Matthey 170096
Universal Nuclease Pierce 88700

Critical Commercial Assays

Amersham ECL Western Blotting Detection Reagent GE Healthcare RPN2108
LightCycler® FastStart DNA Master SYBR Green I Roche 03003230001
MLV-Reverse Transcriptase Thermofischer 28025013
QuikChange Lightning Site-Directed Mutagenesis Kit QIAGEN #210519

Experimental Models: Organisms/Strains

S. cerevisiae (from W303) CS1MATa Rothstein’s lab N/A
S. cerevisiae (from W303) CS74MATa pep4Δ::ADE2 Lab strain N/A
S. cerevisiae (from W303) CS1125MATa TAP-SLD5 (kanMX) SEN1-9MYC (hphNT) pep4Δ::URA3 ADE2 This study N/A
S. cerevisiae (from W303) CS1126MATa SEN1-9MYC (hphNT) pep4Δ::URA3 ADE2 This study N/A
S. cerevisiae (from W303) CS1187MATa TAP-SLD5 (kanMX) SEN1-9MYC (hphNT) pep4Δ::URA3 ADE2 ctf4Δ::kanMX This study N/A
S. cerevisiae (from W303) CS1353MATa SEN1-TAP (kanMX) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1416MATa TAP-MCM3 (kanMX) SEN1-9MYC (hphNT) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1711MATa TAP-MCM3 (kanMX) GAL1-3HA-ø (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1714MATa TAP-MCM3 (kanMX) leu2-3,112::GAL1-3HA-SEN1 (2-931) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1534MATa TAP-SLD5 (kanMX) SEN1-9MYC (hphNT) pep4Δ::URA3 ADE2 mrc1Δ::hphNT This study N/A
S. cerevisiae (from W303) CS1852MATa leu2-3,112::GAL1-TAP-ø (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1933MATa leu2-3,112::GAL1-TAP-SEN1 (1095-2231) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1941MATa leu2-3,112::GAL1-TAP-SEN1 (2-2231) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1942MATa leu2-3,112::GAL1-TAP-SEN1 (2-1901) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1943MATa leu2-3,112::GAL1-TAP-SEN1 (931-2231) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1956MATa leu2-3,112::GAL1-TAP-SEN1 (2-1103) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS1957MATa leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2030MATa TAP-MCM3 (kanMX) leu2-3,112::GAL1-3HA-SEN1 (2-622) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2032MATa TAP-MCM3 (kanMX) leu2-3,112::GAL1-3HA-SEN1 (410-931) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2056MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-ø (LEU2) This study N/A
S. cerevisiae (from W303) CS2058MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) This study N/A
S. cerevisiae (from W303) CS2061MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (2-1901) (LEU2) This study N/A
S. cerevisiae (from W303) CS2062MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (1095-2231) (LEU2) This study N/A
S. cerevisiae (from W303) CS2148MATa TAP-MCM3 (kanMX) leu2-3,112::GAL1-3HA-SEN1 (501-931) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2150MATa TAP-MCM3 (kanMX) leu2-3,112::GAL1-3HA-SEN1 (622-931) (LEU2) pep4Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2184MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (2-1103) (LEU2) This study N/A
S. cerevisiae (from W303) CS2188MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (2-2231) (LEU2) This study N/A
S. cerevisiae (from W303) CS2451MATα td-MYC-sen1-1 (klTRP1) GAL1-UBR1 (HISMX) leu2-3,112::GAL1-TAP-SEN1 (931-2231) (LEU2) This study N/A
S. cerevisiae (from W303) CS2458MATa/MATα SEN1/SEN1 (931-2231) (HISMX) This study N/A
S. cerevisiae (from W303) CS2582MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (931-2231) (LEU2) This study N/A
S. cerevisiae (from W303) CS2584MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) (LEU2) This study N/A
S. cerevisiae (from W303) CS2603MATa leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) pep4Δ::ADE2 ctf4Δ::kanMX This study N/A
S. cerevisiae (from W303) CS2607MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) W773A E774A W777A (LEU2) This study N/A
S. cerevisiae (from W303) CS2609MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) D850A E851G V852A L853G L854A (LEU2) This study N/A
S. cerevisiae (from W303) CS2611MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) V858A R859A I862A (LEU2) This study N/A
S. cerevisiae (from W303) CS2615MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) D876G D877G V880G (LEU2) This study N/A
S. cerevisiae (from W303) CS2617MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) V746G D747G P748G I749G (LEU2) This study N/A
S. cerevisiae (from W303) CS2623MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) L656A S657A K658A I659A L660 (LEU2) This study N/A
S. cerevisiae (from W303) CS2636MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) L656A S657A K658A I659A L660A (LEU2) NRD1- 9MYC (HIS3MX) pep4Δ:: ADE2 TAP-MCM3 (kanMX) This study N/A
S. cerevisiae (from W303) CS2638MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2- 2231)W773A E774A W777A (LEU2) NRD1-9MYC (HIS3MX) pep4Δ:: ADE2 TAP-MCM3 (kanMX) This study N/A
S. cerevisiae (from W303) CS2640MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2- 2231) D850A E851G V852A L853G L854A (LEU2) NRD1- 9MYC (HIS3MX) pep4Δ:: ADE2 TAP-MCM3 (kanMX) This study N/A
S. cerevisiae (from W303) CS2642MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2- 2231) V746G D747G P748G I749G (LEU2) NRD1-9MYC (HIS3MX) pep4Δ:: ADE2 TAP-MCM3 (kanMX) This study N/A
S. cerevisiae (from W303) CS2669MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) (LEU2) NRD1-9MYC (HIS3MX) pep4Δ:: ADE2 TAP-MCM3 (kanMX) This study N/A
S. cerevisiae (from W303) CS2670MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2- 2231) (LEU2) NRD1-9MYC (HIS3MX) pep4Δ:: ADE2 This study N/A
S. cerevisiae (from W303) CS2716MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) D876G D877G V880G (LEU2) This study N/A
S. cerevisiae (from W303) CS2718MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) T782G I783G Y784G (LEU2) This study N/A
S. cerevisiae (from W303) CS2734MATa rnh1Δ:: hphNT rnh201Δ::HISMX Lab strain N/A
S. cerevisiae (from W303) CS2735MATα rnh1Δ:: hphNT rnh201Δ::HISMX Lab strain N/A
S. cerevisiae (from W303) CS2791MATa td-sld3-7 (kanMX) GAL1-UBR1 (HIS3MX) leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2+) pep4Δ:: ADE2 This study N/A
S. cerevisiae (from W303) CS2808MATa SEN1-TAP (kanMX) This study N/A
S. cerevisiae (from W303) CS2810MATa sen1-3-TAP (kanMX) This study N/A
S. cerevisiae (from W303) CS2853MATa SEN1-TAP (kanMX) pep4Δ:: ADE2 This study N/A
S. cerevisiae (from W303) CS2854MATa sen1-3-TAP (kanMX) pep4Δ:: ADE2 This study N/A
S. cerevisiae (from W303) CS2859MATa SEN1-TAP (kanMX) pep4Δ:: URA3 mrc1Δ::hphNT This study N/A
C S. cerevisiae (from W303) S2861MATa sen1-3-TAP (kanMX) pep4Δ:: URA3 mrc1Δ::hphNT This study N/A
S. cerevisiae (from W303) CS2903MATa td-sld3-7 (kanMX) GAL1-UBR1 (HIS3MX) leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) pep4Δ:: ADE2 ctf4Δ:: kanMX This study N/A
S. cerevisiae (from W303) CS2938MATα SEN1-TAP (kanMX) hpr1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS2941MATα sen1-3-TAP (kanMX) hpr1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS2945MATa SEN1-TAP (kanMX) sml1Δ::HISMX rad53Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2947MATa sen1-3-TAP (kanMX) sml1Δ::HISMX rad53Δ::ADE2 This study N/A
S. cerevisiae (from W303) CS2955MATa SEN1-TAP (kanMX) ctf18Δ::klTRP1 This study N/A
S. cerevisiae (from W303) CS2957MATa sen1-3-TAP (kanMX) ctf18Δ::klTRP1 This study N/A
S. cerevisiae (from W303) CS3167MATa leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) pep4Δ::ADE2 psf1-1 (ts) This study N/A
S. cerevisiae (from W303) CS3186MATa leu2-3,112::GAL1-TAP-SEN1 (2-931) (LEU2) pep4Δ::ADE2 mrc1Δ::hphNT This study N/A
S. cerevisiae (from W303) CS3321MATα leu2-3,112::GAL1-RNH1 (2-348) (LEU2) SEN1-TAP (kanMX) mrc1Δ::hphNT This study N/A
S. cerevisiae (from W303) CS3322MATa leu2-3,112::GAL1-RNH1 (2-348) (LEU2) sen1-3-TAP (kanMX) mrc1Δ::hphNT This study N/A
S. cerevisiae (from W303) CS3499MATa SEN1-TAP (kanMX) pep4Δ::ADE2 ctf4Δ::kanMX mrc1-3IAA (HISMX) ADH1-OsTIR1 (klTRP1,URA3) This study N/A
S. cerevisiae (from W303) CS3545MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-sen1-3 (2-2231) (LEU2) rnh1Δ:: hphNT rnh201Δ::HISMX This study N/A
S. cerevisiae (from W303) CS3547MATa sen1Δ::URA3-CP leu2-3,112::ACT1-3HA-SEN1 (2-2231) (LEU2) rnh1Δ:: hphNT rnh201Δ::HISMX This study N/A
S. cerevisiae (from W303) CS3562MATa SEN1-TAP (kanMX) pep4Δ::ADE2 ctf4Δ::kanMX This study N/A
S. cerevisiae (from W303) CS3662MATa SEN1-TAP (kanMX) mrc1Δ::hphNT leu2-3,112::GAL1-RNH1 (2-348) (LEU2+) This study N/A
S. cerevisiae (from W303) CS3664MATa sen1-3-TAP (kanMX) mrc1Δ::hphNT leu2-3,112::GAL1-RNH1 (2-348) (LEU2) This study N/A
S. cerevisiae (from W303) CS3702MATa TAP-SLD5 (kanMX) SEN1-9MYC (hphNT) pep4Δ::URA3 ADE2 ctf4Δ::kanMX mrc1-3IAA (HISMX) ADH1-OsTIR1 (klTRP1,URA3) This study N/A
S. cerevisiae (from W303) CS3731MATα SEN1-TAP (kanMX) leu2-3,112::GAL1-RNH1 (2-348) (LEU2) This study N/A
S. cerevisiae (from W303) CS3733MATa sen1-3-TAP (kanMX) leu2-3,112::GAL1-RNH1 (2-348) (LEU2) This study N/A
S. cerevisiae (from W303) CS3796MATa SEN1-TAP (kanMX) mad2Δ::kanMX This study N/A
S. cerevisiae (from W303) CS3797MATα sen1-3-TAP (kanMX) mad2Δ::kanMX This study N/A
S. cerevisiae (from W303) CS3903MATa leu2-3,112::GAL1-RNH1 (2-348) (LEU2) SEN1-TAP (kanMX) hpr1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS3905MATa leu2-3,112::GAL1-RNH1 (2-348) (LEU2) sen1-3-TAP (kanMX) hpr1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS4296MATa SEN1-TAP (kanMX) chl1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS4298MATα sen1-3-TAP (kanMX) chl1Δ::kanMX This study N/A
S. cerevisiae (from W303) CS4312MATa NRD1-TAP (kanMX) SEN1-9MYC (hphNT) pep4Δ::URA3-CP ADE2 This study N/A
S. cerevisiae (from W303) CS4314MATa SEN1-TAP (kanMX) pep4Δ::ADE2 rpb1-1 (ts) This study N/A
S. cerevisiae (from W303) DLY2057MATa sen1-1 (ts) Lab strain N/A
S. cerevisiae (from W303) DLY2281MATa upf1Δ::TAP::klTRP1 Lab strain N/A
S. cerevisiae (from W303) DLY3111MATa sen1-1 (ts) upf1Δ::TAP::klTRP1 This study N/A
S. cerevisiae (from W303) DLY3190MATa SEN1-TAP (kanMX) upf1Δ::TAP::klTRP1 This study N/A
S. cerevisiae (from W303) DLY3191MATa sen1-3-TAP (kanMX) upf1Δ::TAP::klTRP1 This study N/A

Oligonucleotides

DL377ATGTTCCCAGGTATTGCCGA This study N/A
DL378ACACTTGTGGTGAACGATAG This study N/A
DL474GCAAAGATCTGTATGAAAGG This study N/A
DL475CGCAGAGTTCTTACCAAACG This study N/A
DL481TAAATGGCCAACCGCTGTTG This study N/A
DL482CCAGCGTACTGCACGCCAGG This study N/A
DL1119AAGTGACGAAGTTCATGCTA This study N/A
DL1120TCCGTGTCTCTTGTCCTGCA This study N/A

Recombinant DNA

pYM-N24 Janke et al., 2004 Euroscarf
pCS14pRS305-GAL1-TAP-Ø This study N/A
pCS25pRS305-GAL1-3HA-Ø This study N/A
pCS26pRS305-GAL1-3HA-SEN1 (2-931) This study N/A
pCS30pRS305-GAL1-TAP-SEN1 (2-931) This study N/A
pCS31pRS305-GAL1-TAP-SEN1 (2-1103) This study N/A
pCS32pRS305-GAL1-TAP-SEN1 (931-2231) This study N/A
pCS33pRS305-GAL1-TAP-SEN1 (1095-2231) This study N/A
pCS39pRS305-GAL1-TAP-SEN1 (2-2231) This study N/A
pCS40pRS305-GAL1-TAP-SEN1 (2-1901) This study N/A
pCS42pRS305-GAL1-3HA-SEN1 (2-622) This study N/A
pCS43pRS305-GAL1-3HA-SEN1 (410-931) This study N/A
pCS59pRS305-GAL1-3HA-SEN1 (501-931) This study N/A
pCS61pRS305-GAL1-3HA-SEN1 (622-931) This study N/A
pCS118pRS305-ACT1-3HA-SEN1 (931-2231) This study N/A
pCS120pRS305-ACT1-3HA-SEN1 (2-2231) This study N/A
pCS123pRS305-ACT1-3HA-SEN1 (2-2231) W773A E774A W777A This study N/A
pCS124pRS305-ACT1-3HA-SEN1 (2-2231) L656A S657A K658A I659A L660A This study N/A
pCS125pRS305-ACT1-3HA-SEN1 (2-2231) D850A E851G V852A L853G L854A This study N/A
pCS127pRS305-ACT1-3HA-SEN1 (2-2231) D876G D877G V880G This study N/A
pCS128pRS305-ACT1-3HA-SEN1 (2-2231) V746G D747G P748G I749G This study N/A
pCS129pRS305-ACT1-3HA-SEN1 (2-2231) T782G I783G Y784G This study N/A
pCS188pRS305-GAL1-RNH1 (2-348) This study N/A
pCS196pRS424-GPD-hsRNASEH1 (2-286) From Palancade’s lab N/A
pCS197pRS315-ADE2 This study N/A
pCS198pRS315-ADE2-ARS306 This study N/A
pLpRS316-leu2Δ3′-39bp-leu2Δ5′ From Aguilera’s lab N/A
pLYΔNSpRS316-leu2Δ3′-3900bp-leu2Δ5′ From Aguilera’s lab N/A

Software and Algorithms

Excel Microsoft RRID:SCR_016137
Illustrator Adobe RRID:SCR_014198
ImageJ NIH https://imagej.nih.gov/ij/; RRID:SCR_003070
Photoshop Adobe RRID:SCR_014199
PredictProtein.org https://www.predictprotein.org/
RStudio RStudio RRID:SCR_000432

Lead Contact and Materials Availability

Further information and requests for resources and reagents should be directed and will be fulfilled by the Lead Contact, Dr Giacomo De Piccoli (g.de-piccoli@warwick.ac.uk). All unique/stable reagents generated in this study are available from the Lead Contact with a completed Materials Transfer Agreement.

Experimental Model and Subject Details

Saccharomyces cerevisiae is the experimental model used in this study. All strains are isogenic to W303, and are listed in the Key Resources Table.

Method Details

Yeast Strains and Growth Conditions

All yeasts were grown in YP medium supplemented with either glucose (YPD) or galactose (YPGAL) or raffinose (YPRAF) to a final concentration of 2% (w/v). For solid media, the same formulation was used, but with a final concentration of 1% (w/v) agar. Yeasts were grown at 24, 28, 30 and 37°C, depending on their viability at the different temperatures and as required by the experimental design. For all experiments, the control and test strains were subjected to the same conditions, including temperature.

For cell spotting experiments, cells were grown on non-selective media until colonies were judged to be sufficiently big. Five discrete colonies from individual strains were added to sterile deionised water to create a cell suspension. From this suspension, serial dilutions (0.5 x106, 0.5 x105, 0.5 x104 and 0.5 x103 cells/ml) were generated. 10 μL of each suspension was pipetted onto the appropriate media and grown for up to 5 days at the required temperatures.

To assess the genetic interaction between two or three genes, parents carrying the appropriate alleles were first crossed. Analysis of the meiotic progeny was conducted by inducing sporulation of the diploid strains in sporulation medium for 3-5 days at 24°C. Asci were treated with a 1:10 dilution of β-glucoronidase from Helix pomatia (Sigma) for 30 minutes, followed by tetrad dissection onto a YPD plate using a Singer MSM400 micromanipulator. Plates were incubated for 3-4 days at the appropriate temperature.

For the plasmid recombination assay, eight independent clones carrying the appropriate plasmid (pL or pLYΔNS) were each plated in medium lacking leucine (to select for recombination) or lacking uracil (marker for the presence of the plasmid) at 24°C. The experiment was repeated in triplicate. For plasmid loss assays, cells were transformed with the required plasmid (pCS197 or pCS198) and plated on minimum medium lacking leucine and incubated at 24°C. Colonies were left to grow until single isolated colonies were sufficiently big. Five to seven colonies for each strain were then picked, resuspended in sterile water and counted. Around 200-150 cells were then plated onto YPD and incubated at 24°C until red/white coloring was clearly visible. Cells were then incubated at 4°C for three days. We considered white and sectored colonies as white while only fully red colonies were scored as red. The experiment was repeated twice. The plasmid loss assay with or without GAL-RNH1 was conducted in a similar manner, except that cells were grown and transformed in medium containing galactose and selected in medium lacking adenine (LEU2 is the reporter gene for the GAL1-RNH1 construct). Colonies were grown for longer periods of time before colonies were sufficient size big and were plated onto non-selective medium containing galactose.

Cell cycle experiments

Cells were diluted from an inoculum to a density of 0.35 × 107 cells/ml in a suitable volume and left to grow to a final density of 0.7 × 107 cells/ml. The cells were then synchronized in G1 by adding α-factor to a final concentration of 7.5 μg/ml. After the first 90 min, α-factor was added every 30 min to a 3.25 μg/ml final concentration to maintain the cells in G1. When the cultures were shifted to 37°C, cells were spun down and resuspended in pre-warmed medium containing 7.5 μg/ml α-factor. Cells were released from the arrest by washing the cells twice with medium without α-factor. In all experiments in which cells were collected for IPs, cells were grown at 24°C and released into S phase for 30 min, unless stated otherwise in the figure legend. For expressing constructs under the GAL1 promoter, strains were grown in YPRAF, arrested in G1 using α-factor, upon which YPGAL was substituted for YPRAF. Alternatively, YPGAL was used throughout the experiment (appropriate for constructs that were labile).

Harvesting cells for IP

Harvested cells were immediately cooled to 4°C by washing with an ice-cold solution of HEPES-KOH (pH 7.9), followed by a wash in a solution of 100 mM HEPES-KOH (pH 7.9), 50 mM potassium acetate, 10 mM magnesium acetate and 2 mM EDTA-KOH, still at 4°C. After the wash, the solution was discarded and the cells were re-suspended in a fresh quantity of the same solution supplemented with protease and phosphatase inhibitors, so that the ratio of wet mass of the cells to the final mass of the suspension was either 1:4 (for 250 mL cultures) or 4:5 (for 1 l cultures). The re-suspended cells were immediately flash-frozen by pipetting into a flask holding liquid nitrogen. The frozen cells were kept at −80°C until use for IP. Before freezing, some cells were fixed in 70% (v/v) ethanol to test that cells did not progress through the cell cycle during sample preparation.

For cells with inducible constructs, cultures were grown as described above in YPRAF. After the cells were arrested in G1, the culture was substituted with YPGAL (supplemented with α-factor) to induce transcription from the GAL1 promoter. Harvesting of G1 cultures can be performed prior to or after induction according to the experimental setup. After 35 min or 1 h of induction, the cells were released in S phase as described above and harvested either 30 min (24°C) or 20 min (30°C or 37°C) post-release. For temperature-sensitive strains or strains tagged with a temperature-degron (e.g psf1-1, td-sld3-7 and rnh1Δ rnh201Δ ACT1-sen1-3), the strains were grown and synchronized in G1 at 24°C as described above. Once synchronized and, (optionally) constructs transcriptionally induced, the cells were shifted to 37°C for 1 h. α-factor was added every 20 min to maintain the cells in G1 to a final concentration of 7.5 μg/ml for 1 h. Synchronicity was monitored visually using a microscope and by harvesting a 1 mL sample of the culture by fixing in 70% (v/v) ethanol for flow-cytometric analysis. The cells were then washed and released in S phase. The cells were harvested 20 min after release, including for the psf1-1 strains that do not actually undergo DNA replication at 37°C as the GINS complex is destabilized. For crosslinking IPs, cells cultures were incubated with formaldehyde for 25 min and treated as in De Piccoli et al. (2012).

Western Blots

Protein samples (TCA-precipitated and non-treated cell extracts, as well as IPs) were run on 5, 6, 7, 8 or 10% polyacrylamide gels. The protein bands were then transferred onto nitrocellulose or PVDF membranes. The proteins bands were then probed with the appropriate primary antibodies for 1 h in a solution of 5% (w/v) skimmed milk in TBST, washed thrice for 5 min in fresh TBST, probed with the appropriate HRP-bound secondary antibody (if any, refer to Key Resources Table) and washed thrice again for 5 min in fresh TBST. The membrane was then treated with the western blotting reagents and the resulting chemiluminescent signal was captured using either films or a digital camera (G:BOX, Chemi XRG, Syngene).

IP

IPs were conducted as previously described (De Piccoli et al., 2012). In brief, cells previously harvested were lysed using a mechanised pestle and mortar at −80°C (Spex Sample Prep, 6870). 1 g of lysate is considered equivalent to 1 ml. To 1 volume of thawed lysate, ¼ volume of a solution of 50% (v/v) glycerol, 100 mM HEPES-KOH (pH 7.9), 50 mM potassium acetate, 50 mM magnesium acetate, 0.5% (v/v) Igepal® CA-630, 2mM EDTA supplemented with protease and phosphatase inhibitors was added. Pierce Universal Nuclease was added to a final concentration of 0.4 U/μl and samples were left on a rotating platform at 4°C for 30 min. After incubation, the sample was clarified by stepwise centrifugation at 18,700g and then at 126,600g. The supernatant was isolated, 50 μL of which was added to 100 μL of 1.5 x Laemmli buffer (cell extract). The remaining cell extract was incubated with 100 μL of TAP-beads for 2 h (M-270 Dynabeads® Epoxy beads bound to an anti-sheep IgG). Beads were washed with solutions of 100 mM HEPES-KOH (pH 7.9), 50 mM potassium acetate, 50 mM magnesium acetate, 2 mM EDTA, 0.1% (v/v) Igepal® CA-630 thrice. After washing, 100 μL of 1 x Laemmli buffer was added to the 100 μL of TAP-beads and boiled for 4 min. Crosslinking IPs were conducted as in De Piccoli et al. (2012).

When scaling up was necessary (using 1 l of cells instead of 250 ml), a few changes were implemented to the protocol. Notably, the concentration of the Pierce Universal Nuclease was increased four-fold to a final concentration of 1.6 U/μl and incubation with the nuclease was increased from 30 to 40 min.

MS Analysis of IPs

The samples were processed as above. Following the washes, TAP-Sen1 (2-931) protein was released by using the AcTEV® protease at 24°C for 2 h. Thereafter, the resultant CBP-Sen1 (2-931) (CBP: calmodulin-binding protein) and its specific interactors were incubated with pre-washed calmodulin beads at 4°C for 2 h. After washing, 30 μL of 1 X Laemmli was added to the calmodulin beads and boiled for 4 min. The samples from the four biological replicates were pooled together, flash-frozen on dry ice and stored at −80°C. The samples were then run on commercially sourced 4%–12% acrylamide gel for a short distance (∼1 cm). The gel was then cut in thin slices and processed and analyzed by MS Bioworks, USA.

Counting of Rad52-foci to assess DNA damage

Cells carrying the RAD52-GFP allele were first grown in liquid medium and synchronized in G1. Cells were released and harvested at different times after release, corresponding to different phases of the cell cycle. Paraformaldehyde was added to the cell suspensions to a final concentration of 3% (w/v) and the samples were incubated at room temperature for 10 min. The cells were then washed with PBS at room temperature. Finally, the samples were re-suspended in fresh PBS and kept at 4°C overnight.

Less than 24 h after fixation (to minimize signal lost due to alteration of the GFP protein), the samples were re-suspended in 500 μL of fresh PBS to which the DNA stain DAPI was added to a final concentration of 1 μg/ml. The samples were incubated at room temperature for 10 min to allow for staining of the DNA. The cells were then washed with PBS to improve the signal-to-noise ratio of the DAPI staining. The cells were then brought to a suitable dilution prior to pipetting on a glass slide onto which a coverslip is applied. Images of cells were acquired (brightfield, ∼510 nm emission (GFP), ∼460 nm (DAPI)) using a Personal DeltaVision (Applied Precision). The images were analyzed using ImageJ and the number of Rad52-foci were counted. An average of three experiments is shown in the figures.

Chromosome spreads and microscopy

Chromosome spreads were performed as previously described (Wahba et al., 2011, Grubb et al., 2015). Exponentially growing asynchronous cultures were grown in YPD at 28°C. 2x108 cells were harvested and spheroplasted (0.1M potassium phosphate (pH 7.4), 1.2 M sorbitol, 0.5 mM MgCl2, 40 mM DTT, 20 U zymolyase at 30°C for 1 h or until > 90% of cells lysed following addition of 2% sarcosyl. Cells were then washed and resuspended in ice cold 1 M sorbitol (pH 6.4), 0.1 M MES, 0.5 mM MgCl2, 1 mM EDTA to stop spheroplasting reaction. 20 μL of cell suspension was placed onto a slide, followed by 40 μL of fixative (4% paraformaldehyde (w/v), 3.4% sucrose (w/v)), then lysed using 80 μL of 1% lipsol (v/v) for 2 min, followed by addition of 80 μL of fixative and spread across the surface of the slide to dry overnight. Slides pre-treated with RNase H were incubated with 4U of RNase H diluted in 400 μL of 5mg/ml BSA for 1 h at 37°C prior to immunostaining. Slides were immunostained for DNA:RNA hybrids using mouse monoclonal antibody S.96 (Kerafast) diluted 1:2000 (0.25 μg/ml) in blocking buffer (5% BSA, 0.2% milk, 1XPBS) for 1 h. The secondary antibody, Cy3-conjucated goat anti-mouse (Jackson laboratories) was diluted 1:2000 in blocking buffer and incubated in the dark for 1 h. Indirect immunofluorescence was observed using a Deltavision 1 microscope with a 100 × /NA 1.4 objective. Image analysis was performed using ImageJ and Adobe Photoshop. An average of three experiments is shown in the figures.

Quantification of R-loops

Cells growing in liquid culture was harvested and re-suspended in lysis solution (100 mM NaCl, 10 mM Tris-HCl pH 8.0, 1 mM EDTA, 3% (w/v) SDS). To a volume of cell suspension, an equal volume of phenol/chloroform/isoamyl alcohol (25:24:1) (Acros Organics) and another volume of nuclease-free deionised water were added. The cells were then lysed mechanically using glass beads and DNA was isolated by incubating the soluble cell extract to ethanol to a final concentration of 70% (v/v). The DNA was washed with fresh ethanol and re-suspended in nuclease-free TE supplemented with 50 μg/ml RNase A and incubated at 37°C for 1 h only.

The concentration of genomic material was estimated by measuring absorbance at 260 nm. For each sample, 1 μg/μl, 0.5 μg/μl and 0.25 μg/μl dilutions of DNA was prepared, using nuclease-free water. 2 μL of each dilution was treated with either 1U of RNaseH (Invitrogen, #18021071) or 1 U of RNaseH and 1 U of RNase III (Invitrogen, #AM2290) with similar results at 37°C for 1h. As a control, untreated samples were also incubated at 37°C for 1 h. The remaining DNA was then added to 200 μL of 2 X SSC hybridization buffer (0.3M NaCl, 30mM trisodium Citrate, pH 7.0) and transferred to a pre-equilibrated hybond-N+ nylon membrane (GE healthcare, #RPN203B) under vacuum. The DNA was cross-linked to the membrane using UV prior to blocking in either 5% (w/v) milk (anti-R loops) or 5% (w/v) BSA (anti ds-DNA) at 24°C for 1 h. The membranes were then incubated overnight in 5% milk supplemented the primary antibody at 4°C overnight. After thrice washing in TBST for 30 min, the membrane was incubated with anti-mouse IgG-HRP at 24°C for 1 h. The membranes were treated with ECL, and chemiluminescent signal was visualized using a camera (G:BOX, Chemi XRG, Syngene).

Reverse transcription followed by quantitative PCR

Cells were grown to exponential phase and incubated at permissive (24°C) or non-permissive temperatures (37°C) for 3 h to induce the sen1-1 phenotype before collection. Analysis was performed in parallel in an upf1Δ background for detecting elongated RNA species derived from termination failure that might be degraded in the cytoplasm. The ratio of the read-through fraction over the total amount of SNR13 RNA is shown as a proxy of transcription termination levels. The mean of three experiments is shown. Error bars represent the standard deviation. Cells were grown in logarithmic phase, and 6 OD600 worth of cells were pelleted. Total RNAs were extracted by resuspending cell pellets in 1 volume of acidic phenol (pH 4.3) supplemented with 1 volume of AES Buffer (50 mM Sodium Acetate pH 5.5, 10 mM EDTA, 1% SDS). Mixtures were incubated at 70°C with agitation (1,400 rpm) for 30 min in a thermomixer (Eppendorf), before being centrifuged at 20,000 g at 4°C for 10 min. Aqueous phases were recovered and subjected to one extra round of hot acidic phenol extraction, followed by one round of chloroform extraction. Total RNAs were finally precipitated with absolute ethanol and sodium acetate pH 5.5, washed once with 70% Ethanol, dried on a SpeedVac (Thermo) and resuspended in 30 μL of RNase-free H2O. 60-120 μg of total RNAs were recovered routinely.

Reverse transcription was performed using random hexamer-primers annealing at multiple loci in the S. cerevisiae genome and with oligos dT. 4 μg of total RNAs were mixed to 200 ng of random hexamers and 0.5 μM of oligos dT in a 20 μL reaction containing 50 mM Tris-HCl pH 8.3, 75 mM KCl, 3 mM MgCl2 and 5 mM DTT. Samples were first incubated for 15 min at 70°C to allow RNA denaturation. Then temperature was slowly decreased to 37°C to allow annealing of primers. Lastly, synthesis of cDNAs was performed by adding 200 units of MLV-reverse transcriptase for 45 min at 37°C.

To assess the amount of cDNAs reverse transcribed, quantitative PCR (qPCR) was carried out using two different primer pairs for each target (SNR13, NEL250c, ACT1). These allowed the amplification of a product covering either ∼300 bp of the 3′ end of ACT1 (DL377/DL378 primer pair) or ∼70 bp in the read-through region of SNR13 (DL1119/DL1120 primer pair) or ∼140 bp in the body of NEL025c (DL474/DL475 primer pair) or ∼70 bp in the read-though region of NEL025c (DL481/DL482 primer pair). qPCR was performed in a 10 μL reaction by mixing 2 μL of the reverse transcribed cDNAs to 5 μL of LightCycler® 480 SYBR Green I Master and 2.5 pmol of both the forward and the reverse primer.

Cross-linking and analysis of cDNA (CRAC)

The CRAC protocol used in this study is derived from Granneman et al. (2009) with a few modifications as described in Candelli et al. (2018). Raw data processing has been performed as described in Candelli et al. (2018). Metagene analysis has been performed as follows: for the CUTs presented in Table S1, we retrieved the polymerase reads count at every position around the features (3′ or 5′ end) and plotted the mean over all the values for these positions in the final aggregate plot. Analysis has been performed in the R Studio environment.

Quantification and Statistical Analysis

Where applicable, data was presented as the average ± standard deviation. t tests were used to compare population means. Statistically significant differences were indicated as such by indicating the value range of the p values.

Data and Code Availability

The published article includes all datasets generated or analyzed during this study. The raw data of the metagene analysis of the CUTs shown in Figure 4B are included in Table S1. This study did not generate any unique code.

Acknowledgments

We thank Karim Labib, Benoit Palancade, Andres Aguilera, and Nicholas Proudfoot for strains, antibodies, and plasmids. We are grateful to Karim Labib, Jordi Torres-Rosell, Jonathan Millar, and Andrew McAinsh for feedback. The authors acknowledge CAMDU (Computing and Advanced Microscopy Unit) and Media Preparation Facility at the University of Warwick for their assistance in this work, as well as the help of the high-throughput sequencing core facility of I2BC (Centre de Recherche de Gif-sur-Yvette, France). G.D.P. and R.A. were funded by Cancer Research UK Career Development Fellowship C44595/A16326. R.A. has been funded by Chancellor International Scholarship at the University of Warwick. E.C.L. is funded by the BBSRC MIBTP program. This work was also supported by the Centre National de la Recherche Scientifique (CNRS), l’Agence National pour la Recherche (ANR) grants ANR-12-BSV8-0014-01 and ANR-16-CE12-0022-01 to D.L. and the Labex Who Am I? (ANR-11-LABX-0071 et Idex ANR-11-IDEX-0005-02 to D.L. U.A. is supported by a fellowship from the French Ministry of Research.

Author Contributions

R.A., D.L., and G.D.P. conceived the study; R.A., E.C.L., U.A., and G.D.P. performed experiments; all authors analyzed experiments; and R.A. and G.D.P. wrote the manuscript. All authors discussed the data and commented and helped improve the manuscript.

Declaration of Interests

The authors declare no competing interests.

Published: February 18, 2020

Footnotes

Supplemental Information can be found online at https://doi.org/10.1016/j.celrep.2020.01.087.

Supplemental Information

Document S1. Figures S1–S5
mmc1.pdf (7.7MB, pdf)
Table S1. Read Count Scores from RNAPII CRAC at CUTs, Related to Figure 4

The reads count, at their position around the CUTs (3′ or 5′ end), are shown. These data were then used for the metagene analysis in the aggregate plot shown in Figure 4B.

mmc2.xls (2.9MB, xls)
Document S2. Article plus Supplemental Information
mmc3.pdf (12.2MB, pdf)

References

  1. Aguilera A., García-Muse T. R loops: from transcription byproducts to threats to genome stability. Mol. Cell. 2012;46:115–124. doi: 10.1016/j.molcel.2012.04.009. [DOI] [PubMed] [Google Scholar]
  2. Alzu A., Bermejo R., Begnis M., Lucca C., Piccini D., Carotenuto W., Saponaro M., Brambati A., Cocito A., Foiani M., Liberi G. Senataxin associates with replication forks to protect fork integrity across RNA-polymerase-II-transcribed genes. Cell. 2012;151:835–846. doi: 10.1016/j.cell.2012.09.041. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Arigo J.T., Eyler D.E., Carroll K.L., Corden J.L. Termination of cryptic unstable transcripts is directed by yeast RNA-binding proteins Nrd1 and Nab3. Mol. Cell. 2006;23:841–851. doi: 10.1016/j.molcel.2006.07.024. [DOI] [PubMed] [Google Scholar]
  4. Bell S.P., Labib K. Chromosome duplication in Saccharomyces cerevisiae. Genetics. 2016;203:1027–1067. doi: 10.1534/genetics.115.186452. [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Bonnet A., Grosso A.R., Elkaoutari A., Coleno E., Presle A., Sridhara S.C., Janbon G., Géli V., de Almeida S.F., Palancade B. Introns protect eukaryotic genomes from transcription-associated genetic instability. Mol. Cell. 2017;67:608–621.e6. doi: 10.1016/j.molcel.2017.07.002. [DOI] [PubMed] [Google Scholar]
  6. Boulé J.B., Zakian V.A. The yeast Pif1p DNA helicase preferentially unwinds RNA DNA substrates. Nucleic Acids Res. 2007;35:5809–5818. doi: 10.1093/nar/gkm613. [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Brambati A., Zardoni L., Achar Y.J., Piccini D., Galanti L., Colosio A., Foiani M., Liberi G. Dormant origins and fork protection mechanisms rescue sister forks arrested by transcription. Nucleic Acids Res. 2018;46:1227–1239. doi: 10.1093/nar/gkx945. [DOI] [PMC free article] [PubMed] [Google Scholar]
  8. Burgers P.M.J., Kunkel T.A. Eukaryotic DNA replication fork. Annu. Rev. Biochem. 2017;86:417–438. doi: 10.1146/annurev-biochem-061516-044709. [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Candelli T., Challal D., Briand J.B., Boulay J., Porrua O., Colin J., Libri D. High-resolution transcription maps reveal the widespread impact of roadblock termination in yeast. EMBO J. 2018;37:e97490. doi: 10.15252/embj.201797490. [DOI] [PMC free article] [PubMed] [Google Scholar]
  10. Cerritelli S.M., Crouch R.J. Ribonuclease H: the enzymes in eukaryotes. FEBS J. 2009;276:1494–1505. doi: 10.1111/j.1742-4658.2009.06908.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  11. Chan Y.A., Aristizabal M.J., Lu P.Y., Luo Z., Hamza A., Kobor M.S., Stirling P.C., Hieter P. Genome-wide profiling of yeast DNA:RNA hybrid prone sites with DRIP-chip. PLoS Genet. 2014;10:e1004288. doi: 10.1371/journal.pgen.1004288. [DOI] [PMC free article] [PubMed] [Google Scholar]
  12. Chang E.Y., Novoa C.A., Aristizabal M.J., Coulombe Y., Segovia R., Chaturvedi R., Shen Y., Keong C., Tam A.S., Jones S.J.M. RECQ-like helicases Sgs1 and BLM regulate R-loop-associated genome instability. J. Cell Biol. 2017;216:3991–4005. doi: 10.1083/jcb.201703168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  13. Chávez S., Aguilera A. The yeast HPR1 gene has a functional role in transcriptional elongation that uncovers a novel source of genome instability. Genes Dev. 1997;11:3459–3470. doi: 10.1101/gad.11.24.3459. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Chávez S., Beilharz T., Rondón A.G., Erdjument-Bromage H., Tempst P., Svejstrup J.Q., Lithgow T., Aguilera A. A protein complex containing Tho2, Hpr1, Mft1 and a novel protein, Thp2, connects transcription elongation with mitotic recombination in Saccharomyces cerevisiae. EMBO J. 2000;19:5824–5834. doi: 10.1093/emboj/19.21.5824. [DOI] [PMC free article] [PubMed] [Google Scholar]
  15. Chinchilla K., Rodriguez-Molina J.B., Ursic D., Finkel J.S., Ansari A.Z., Culbertson M.R. Interactions of Sen1, Nrd1, and Nab3 with multiple phosphorylated forms of the Rpb1 C-terminal domain in Saccharomyces cerevisiae. Eukaryot. Cell. 2012;11:417–429. doi: 10.1128/EC.05320-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Costantino L., Koshland D. Genome-wide map of R-loop-induced damage reveals how a subset of R-loops contributes to genomic instability. Mol. Cell. 2018;71:487–497.e3. doi: 10.1016/j.molcel.2018.06.037. [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Creamer T.J., Darby M.M., Jamonnak N., Schaughency P., Hao H., Wheelan S.J., Corden J.L. Transcriptome-wide binding sites for components of the Saccharomyces cerevisiae non-poly(A) termination pathway: Nrd1, Nab3, and Sen1. PLoS Genet. 2011;7:e1002329. doi: 10.1371/journal.pgen.1002329. [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Culbertson M.R., Leeds P.F. Looking at mRNA decay pathways through the window of molecular evolution. Curr. Opin. Genet. Dev. 2003;13:207–214. doi: 10.1016/s0959-437x(03)00014-5. [DOI] [PubMed] [Google Scholar]
  19. De Piccoli G., Katou Y., Itoh T., Nakato R., Shirahige K., Labib K. Replisome stability at defective DNA replication forks is independent of S phase checkpoint kinases. Mol. Cell. 2012;45:696–704. doi: 10.1016/j.molcel.2012.01.007. [DOI] [PubMed] [Google Scholar]
  20. Duch A., Canal B., Barroso S.I., García-Rubio M., Seisenbacher G., Aguilera A., de Nadal E., Posas F. Multiple signaling kinases target Mrc1 to prevent genomic instability triggered by transcription-replication conflicts. Nat. Commun. 2018;9:379. doi: 10.1038/s41467-017-02756-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  21. El Hage A., French S.L., Beyer A.L., Tollervey D. Loss of Topoisomerase I leads to R-loop-mediated transcriptional blocks during ribosomal RNA synthesis. Genes Dev. 2010;24:1546–1558. doi: 10.1101/gad.573310. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. El Hage A., Webb S., Kerr A., Tollervey D. Genome-wide distribution of RNA-DNA hybrids identifies RNase H targets in tRNA genes, retrotransposons and mitochondria. PLoS Genet. 2014;10:e1004716. doi: 10.1371/journal.pgen.1004716. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Gambus A., van Deursen F., Polychronopoulos D., Foltman M., Jones R.C., Edmondson R.D., Calzada A., Labib K. A key role for Ctf4 in coupling the MCM2-7 helicase to DNA polymerase α within the eukaryotic replisome. EMBO J. 2009;28:2992–3004. doi: 10.1038/emboj.2009.226. [DOI] [PMC free article] [PubMed] [Google Scholar]
  24. García-Benítez F., Gaillard H., Aguilera A. Physical proximity of chromatin to nuclear pores prevents harmful R loop accumulation contributing to maintain genome stability. Proc. Natl. Acad. Sci. USA. 2017;114:10942–10947. doi: 10.1073/pnas.1707845114. [DOI] [PMC free article] [PubMed] [Google Scholar]
  25. García-Pichardo D., Cañas J.C., García-Rubio M.L., Gómez-González B., Rondón A.G., Aguilera A. Histone mutants separate R loop formation from genome instability induction. Mol. Cell. 2017;66:597–609.e5. doi: 10.1016/j.molcel.2017.05.014. [DOI] [PubMed] [Google Scholar]
  26. González-Aguilera C., Tous C., Gómez-González B., Huertas P., Luna R., Aguilera A. The THP1-SAC3-SUS1-CDC31 complex works in transcription elongation-mRNA export preventing RNA-mediated genome instability. Mol. Biol. Cell. 2008;19:4310–4318. doi: 10.1091/mbc.E08-04-0355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Granneman S., Kudla G., Petfalski E., Tollervey D. Identification of protein binding sites on U3 snoRNA and pre-rRNA by UV cross-linking and high-throughput analysis of cDNAs. Proc. Natl. Acad. Sci. USA. 2009;106:9613–9618. doi: 10.1073/pnas.0901997106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  28. Grubb J., Brown M.S., Bishop D.K. Surface spreading and immunostaining of yeast chromosomes. J. Vis. Exp. 2015:e53081. doi: 10.3791/53081. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Gudipati R.K., Villa T., Boulay J., Libri D. Phosphorylation of the RNA polymerase II C-terminal domain dictates transcription termination choice. Nat. Struct. Mol. Biol. 2008;15:786–794. doi: 10.1038/nsmb.1460. [DOI] [PubMed] [Google Scholar]
  30. Hamperl S., Bocek M.J., Saldivar J.C., Swigut T., Cimprich K.A. Transcription-replication conflict orientation modulates R-loop levels and activates distinct DNA damage responses. Cell. 2017;170:774–786.e19. doi: 10.1016/j.cell.2017.07.043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  31. Han Z., Libri D., Porrua O. Biochemical characterization of the helicase Sen1 provides new insights into the mechanisms of non-coding transcription termination. Nucleic Acids Res. 2017;45:1355–1370. doi: 10.1093/nar/gkw1230. [DOI] [PMC free article] [PubMed] [Google Scholar]
  32. Hazelbaker D.Z., Marquardt S., Wlotzka W., Buratowski S. Kinetic competition between RNA polymerase II and Sen1-dependent transcription termination. Mol. Cell. 2013;49:55–66. doi: 10.1016/j.molcel.2012.10.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
  33. Helmrich A., Ballarino M., Tora L. Collisions between replication and transcription complexes cause common fragile site instability at the longest human genes. Mol. Cell. 2011;44:966–977. doi: 10.1016/j.molcel.2011.10.013. [DOI] [PubMed] [Google Scholar]
  34. Helmrich A., Ballarino M., Nudler E., Tora L. Transcription-replication encounters, consequences and genomic instability. Nat. Struct. Mol. Biol. 2013;20:412–418. doi: 10.1038/nsmb.2543. [DOI] [PubMed] [Google Scholar]
  35. Hodgson B., Calzada A., Labib K. Mrc1 and Tof1 regulate DNA replication forks in different ways during normal S phase. Mol. Biol. Cell. 2007;18:3894–3902. doi: 10.1091/mbc.E07-05-0500. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Huertas P., Aguilera A. Cotranscriptionally formed DNA:RNA hybrids mediate transcription elongation impairment and transcription-associated recombination. Mol. Cell. 2003;12:711–721. doi: 10.1016/j.molcel.2003.08.010. [DOI] [PubMed] [Google Scholar]
  37. Janke C., Magiera M.M., Rathfelder N., Taxis C., Reber S., Maekawa H., Moreno-Borchart A., Doenges G., Schwob E., Schiebel E., Knop M. A versatile toolbox for PCR-based tagging of yeast genes: new fluorescent proteins, more markers and promoter substitution cassettes. Yeast. 2004;21:947–962. doi: 10.1002/yea.1142. [DOI] [PubMed] [Google Scholar]
  38. Jankowsky E. RNA helicases at work: binding and rearranging. Trends Biochem. Sci. 2011;36:19–29. doi: 10.1016/j.tibs.2010.07.008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  39. Kamimura Y., Tak Y.S., Sugino A., Araki H. Sld3, which interacts with Cdc45 (Sld4), functions for chromosomal DNA replication in Saccharomyces cerevisiae. EMBO J. 2001;20:2097–2107. doi: 10.1093/emboj/20.8.2097. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Kanemaki M., Labib K. Distinct roles for Sld3 and GINS during establishment and progression of eukaryotic DNA replication forks. EMBO J. 2006;25:1753–1763. doi: 10.1038/sj.emboj.7601063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  41. Kim M., Krogan N.J., Vasiljeva L., Rando O.J., Nedea E., Greenblatt J.F., Buratowski S. The yeast Rat1 exonuclease promotes transcription termination by RNA polymerase II. Nature. 2004;432:517–522. doi: 10.1038/nature03041. [DOI] [PubMed] [Google Scholar]
  42. Kim T.S., Liu C.L., Yassour M., Holik J., Friedman N., Buratowski S., Rando O.J. RNA polymerase mapping during stress responses reveals widespread nonproductive transcription in yeast. Genome Biol. 2010;11:R75. doi: 10.1186/gb-2010-11-7-r75. [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Lang K.S., Hall A.N., Merrikh C.N., Ragheb M., Tabakh H., Pollock A.J., Woodward J.J., Dreifus J.E., Merrikh H. Replication-transcription conflicts generate R-loops that orchestrate bacterial stress survival and pathogenesis. Cell. 2017;170:787–799.e18. doi: 10.1016/j.cell.2017.07.044. [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Leonaitė B., Han Z., Basquin J., Bonneau F., Libri D., Porrua O., Conti E. Sen1 has unique structural features grafted on the architecture of the Upf1-like helicase family. EMBO J. 2017;36:1590–1604. doi: 10.15252/embj.201696174. [DOI] [PMC free article] [PubMed] [Google Scholar]
  45. Liu B., Alberts B.M. Head-on collision between a DNA replication apparatus and RNA polymerase transcription complex. Science. 1995;267:1131–1137. doi: 10.1126/science.7855590. [DOI] [PubMed] [Google Scholar]
  46. Luke B., Panza A., Redon S., Iglesias N., Li Z., Lingner J. The Rat1p 5′ to 3′ exonuclease degrades telomeric repeat-containing RNA and promotes telomere elongation in Saccharomyces cerevisiae. Mol. Cell. 2008;32:465–477. doi: 10.1016/j.molcel.2008.10.019. [DOI] [PubMed] [Google Scholar]
  47. Martin-Tumasz S., Brow D.A. Saccharomyces cerevisiae Sen1 helicase domain exhibits 5′- to 3′- helicase activity with a preference for translocation on DNA rather than RNA. J. Biol. Chem. 2015;290:22880–22889. doi: 10.1074/jbc.M115.674002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  48. Mischo H.E., Gómez-González B., Grzechnik P., Rondón A.G., Wei W., Steinmetz L., Aguilera A., Proudfoot N.J. Yeast Sen1 helicase protects the genome from transcription-associated instability. Mol. Cell. 2011;41:21–32. doi: 10.1016/j.molcel.2010.12.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  49. Mischo H.E., Chun Y., Harlen K.M., Smalec B.M., Dhir S., Churchman L.S., Buratowski S. Cell-cycle modulation of transcription termination factor Sen1. Mol. Cell. 2018;70:312–326.e7. doi: 10.1016/j.molcel.2018.03.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Nishimura K., Fukagawa T., Takisawa H., Kakimoto T., Kanemaki M. An auxin-based degron system for the rapid depletion of proteins in nonplant cells. Nat. Methods. 2009;6:917–922. doi: 10.1038/nmeth.1401. [DOI] [PubMed] [Google Scholar]
  51. Pfeiffer V., Crittin J., Grolimund L., Lingner J. The THO complex component Thp2 counteracts telomeric R-loops and telomere shortening. EMBO J. 2013;32:2861–2871. doi: 10.1038/emboj.2013.217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Porrua O., Libri D. A bacterial-like mechanism for transcription termination by the Sen1p helicase in budding yeast. Nat. Struct. Mol. Biol. 2013;20:884–891. doi: 10.1038/nsmb.2592. [DOI] [PubMed] [Google Scholar]
  53. Porrua O., Hobor F., Boulay J., Kubicek K., D’Aubenton-Carafa Y., Gudipati R.K., Stefl R., Libri D. In vivo SELEX reveals novel sequence and structural determinants of Nrd1-Nab3-Sen1-dependent transcription termination. EMBO J. 2012;31:3935–3948. doi: 10.1038/emboj.2012.237. [DOI] [PMC free article] [PubMed] [Google Scholar]
  54. Prado F., Aguilera A. Impairment of replication fork progression mediates RNA polII transcription-associated recombination. EMBO J. 2005;24:1267–1276. doi: 10.1038/sj.emboj.7600602. [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Rondón A.G., Mischo H.E., Kawauchi J., Proudfoot N.J. Fail-safe transcriptional termination for protein-coding genes in S. cerevisiae. Mol. Cell. 2009;36:88–98. doi: 10.1016/j.molcel.2009.07.028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  56. Schaughency P., Merran J., Corden J.L. Genome-wide mapping of yeast RNA polymerase II termination. PLoS Genet. 2014;10:e1004632. doi: 10.1371/journal.pgen.1004632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  57. Skourti-Stathaki K., Kamieniarz-Gdula K., Proudfoot N.J. R-loops induce repressive chromatin marks over mammalian gene terminators. Nature. 2014;516:436–439. doi: 10.1038/nature13787. [DOI] [PMC free article] [PubMed] [Google Scholar]
  58. Steinmetz E.J., Warren C.L., Kuehner J.N., Panbehi B., Ansari A.Z., Brow D.A. Genome-wide distribution of yeast RNA polymerase II and its control by Sen1 helicase. Mol. Cell. 2006;24:735–746. doi: 10.1016/j.molcel.2006.10.023. [DOI] [PubMed] [Google Scholar]
  59. Takayama Y., Kamimura Y., Okawa M., Muramatsu S., Sugino A., Araki H. GINS, a novel multiprotein complex required for chromosomal DNA replication in budding yeast. Genes Dev. 2003;17:1153–1165. doi: 10.1101/gad.1065903. [DOI] [PMC free article] [PubMed] [Google Scholar]
  60. Thiebaut M., Kisseleva-Romanova E., Rougemaille M., Boulay J., Libri D. Transcription termination and nuclear degradation of cryptic unstable transcripts: a role for the nrd1-nab3 pathway in genome surveillance. Mol. Cell. 2006;23:853–864. doi: 10.1016/j.molcel.2006.07.029. [DOI] [PubMed] [Google Scholar]
  61. Tran P.L.T., Pohl T.J., Chen C.F., Chan A., Pott S., Zakian V.A. PIF1 family DNA helicases suppress R-loop mediated genome instability at tRNA genes. Nat. Commun. 2017;8:15025. doi: 10.1038/ncomms15025. [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Ursic D., Himmel K.L., Gurley K.A., Webb F., Culbertson M.R. The yeast SEN1 gene is required for the processing of diverse RNA classes. Nucleic Acids Res. 1997;25:4778–4785. doi: 10.1093/nar/25.23.4778. [DOI] [PMC free article] [PubMed] [Google Scholar]
  63. Vasiljeva L., Kim M., Mutschler H., Buratowski S., Meinhart A. The Nrd1-Nab3-Sen1 termination complex interacts with the Ser5-phosphorylated RNA polymerase II C-terminal domain. Nat. Struct. Mol. Biol. 2008;15:795–804. doi: 10.1038/nsmb.1468. [DOI] [PMC free article] [PubMed] [Google Scholar]
  64. Wahba L., Amon J.D., Koshland D., Vuica-Ross M. RNase H and multiple RNA biogenesis factors cooperate to prevent RNA:DNA hybrids from generating genome instability. Mol. Cell. 2011;44:978–988. doi: 10.1016/j.molcel.2011.10.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. Westover K.D., Bushnell D.A., Kornberg R.D. Structural basis of transcription: nucleotide selection by rotation in the RNA polymerase II active center. Cell. 2004;119:481–489. doi: 10.1016/j.cell.2004.10.016. [DOI] [PubMed] [Google Scholar]
  66. Yeeles J.T.P., Janska A., Early A., Diffley J.F.X. How the eukaryotic replisome achieves rapid and efficient DNA replication. Mol. Cell. 2017;65:105–116. doi: 10.1016/j.molcel.2016.11.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  67. Yüce Ö., West S.C. Senataxin, defective in the neurodegenerative disorder ataxia with oculomotor apraxia 2, lies at the interface of transcription and the DNA damage response. Mol. Cell. Biol. 2013;33:406–417. doi: 10.1128/MCB.01195-12. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Document S1. Figures S1–S5
mmc1.pdf (7.7MB, pdf)
Table S1. Read Count Scores from RNAPII CRAC at CUTs, Related to Figure 4

The reads count, at their position around the CUTs (3′ or 5′ end), are shown. These data were then used for the metagene analysis in the aggregate plot shown in Figure 4B.

mmc2.xls (2.9MB, xls)
Document S2. Article plus Supplemental Information
mmc3.pdf (12.2MB, pdf)

Data Availability Statement

The published article includes all datasets generated or analyzed during this study. The raw data of the metagene analysis of the CUTs shown in Figure 4B are included in Table S1. This study did not generate any unique code.

RESOURCES