Abstract
Control of RNA Polymerase II (pol II) elongation is a critical component of gene expression in mammalian cells. The PNUTS-PP1 complex controls elongation rates, slowing pol II after polyadenylation sites to promote termination. The Kaposi’s sarcoma-associated herpesvirus (KSHV) co-opts pol II to express its genes, but little is known about its regulation of pol II elongation. We identified PNUTS as a suppressor of a KSHV reporter gene in a genome-wide CRISPR screen. PNUTS depletion enhances global KSHV gene expression and overall viral replication. Mechanistically, PNUTS requires PP1 interaction, binds viral RNAs downstream of polyadenylation sites, and restricts transcription readthrough of viral genes. Surprisingly, PNUTS also represses productive elongation at the 5´ ends of the KSHV reporter and the KSHV T1.4 RNA. From these data, we conclude that PNUTS’ activity constitutes an intrinsic barrier to KSHV replication likely by suppressing pol II elongation at promoter-proximal regions.
Similar content being viewed by others
Introduction
KSHV is the causative agent of Kaposi’s sarcoma, primary effusion lymphoma (PEL), and multicentric Castleman’s disease1. KSHV switches between distinct transcriptional profiles during its multi-phasic life cycle. During latency, it maintains its double-stranded genome in the nucleus of the infected cell and expresses a minimal set of gene products. Upon lytic reactivation, a cascade of gene expression is induced, culminating in the production of infectious virus2. KSHV co-opts host factors to transcribe and process its mRNAs and encodes factors that help the virus overcome barriers to gene expression in the host cell. For example, the viral lytic transactivator ORF50 (Rta) induces the switch from latency to lytic phase by driving pol II activity from specific KSHV promoters3. Another lytic protein, ORF57 (Mta), promotes expression of KSHV genes by protecting viral RNA from cellular RNA decay pathways4,5,6,7,8,9. Without the support of these viral transcriptional and posttranscriptional factors, many KSHV genes are poorly expressed in mammalian cells.
In addition to regulation at the level of transcription initiation, mammalian cells regulate most genes by controlling pol II elongation10,11,12,13. A major rate-limiting step in gene expression is the transition from initiating to elongating pol II molecules, resulting in a promoter-proximal pol II pause. To overcome this pause, elongation is promoted by reversible phosphorylation of several factors including the C-terminal domain (CTD) of the largest subunit of pol II, the Negative Elongation Factor (NELF), and the Spt5 subunit of the DRB-sensitivity-inducing-factor (DSIF). Phosphorylation of these targets by P-TEFb promotes release from 5´ pausing by dissociating NELF from the pol II complex and by activating the elongation-promoting activity of DSIF.
Pol II elongation rates also decrease at the 3´ ends of genes in a process closely tied to transcription termination14,15. After recognition of the polyadenylation signal (PAS) by the cleavage and polyadenylation specificity factor (CPSF) and cleavage of the nascent RNA, pol II elongation rate slows. In addition, the cleaved nascent RNA becomes subject to exonucleolytic attack by the 5´-to-3´ exonuclease Xrn2. Pol II terminates transcription when Xrn2 reaches the elongating polymerase, which is facilitated by the reduced speed of the polymerase within a region called the termination zone. Thus, 3´ end formation and elongation rates are uniquely tied to transcription termination.
The protein phosphatase 1 nuclear targeting subunit PNUTS was recently identified to be required for pol II slowdown in the termination zone14. PNUTS binds and regulates the activity of the serine/threonine protein phosphatase 1 (PP1), which was also previously implicated in termination16,17,18,19. The PNUTS-PP1 complex interacts with pol II and RNA processing factors including the 3´ end formation machinery, and directly binds RNA20,21,22,23,24. PNUTS-PP1 occupies genes immediately downstream of the polyadenylation site where it dephosphorylates Spt5 causing accumulation of slowed pol II in the termination zone14. This slowdown facilitates termination of the elongation complex14,15. Loss of PNUTS-PP1 activity, therefore, results in faster pol II on genes downstream of the transcript end site (TES) and increased pol II occupancy downstream of termination zones14,25. Interestingly, PNUTS depletion also leads to a smaller detectable increase in pol II speed within gene bodies, suggesting it may play roles at the promoter-proximal pausing sites, as well as coordinating spliceosome activity with transcription elongation14,21.
Regulation of KSHV gene expression at the level of transcription elongation remains incompletely understood. Since KSHV uses pol II, it seems likely that similar processes are used by the virus as in host cells. Indeed, at least a subset of KSHV genes are regulated by NELF, DSIF, and P-TEFb26. However, differences in the KSHV genes may require distinct modes of elongation regulation. For example, most KSHV genes are intronless, many share poly(A) signals, and they are shorter on average than human genes. Indeed, short genes have differing requirements for specific transcription elongation factors27. Moreover, the lack of introns directly affects gene expression since the splicing machinery coordinates the transcription and RNA processing machineries28,29,30,31. In addition, the KSHV genome is densely packed with genes apparently providing insufficient genomic space to support the multiple kb-long termination zones found in the human genome32,33. Given these comparatively unique features of the KSHV genome, it seems probable that regulation of pol II transcriptional elongation and termination are distinct for KSHV genes. However, investigations into these differences have been limited.
Here, we report a CRISPR knockout screen for host factors that negatively regulate the expression of a KSHV reporter gene. Our screen identified PNUTS as a potent suppressor of KSHV gene expression from a heterologously expressed reporter. We further show that depletion of PNUTS robustly increases KSHV transcriptional output upon lytic reactivation in iSLK cells infected with a KSHV bacmid and in patient-derived KSHV-infected PEL cells. Moreover, PNUTS depletion leads to more rapid production of infectious virions from these cells. PNUTS’ suppression of the KSHV reporter gene requires its interaction with PP1. Similar to its activities on human genes, PNUTS directly interacts with KSHV RNAs downstream of polyadenylation signals and it promotes termination. However, enhanced expression of our viral reporter gene is driven by a reduction in promoter-proximal pausing after PNUTS depletion. In addition, PNUTS knockdown relieves a promoter-proximal elongation block in the KSHV 1.4 kb transcript (T1.4) in cells latently infected with the KSHV bacmid. From these data, we propose that PNUTS-PP1 suppresses KSHV transcription by promoting 5´ pol II pausing on a subset of KSHV genes and that this activity provides an intrinsic barrier to KSHV gene expression and virus production.
Results
A CRISPR screen identifies PNUTS as a suppressor of a KSHV ORF59 reporter gene
To learn more about host factors that suppress KSHV gene expression, we integrated a reporter construct consisting of the KSHV ORF59 gene fused in-frame with GFP into the AAVS1 safe harbor locus in HCT116 cells (Fig. 1a)34. ORF59 encodes the viral DNA processivity factor that is highly expressed upon lytic infection but is poorly expressed in heterologous contexts. The KSHV ORF57 protein stabilizes the ORF59 mRNA, so we screened clonal lines by their ability to upregulate GFP upon expression of ORF575,6,8. We identified several clonal reporter lines in which ORF59-GFP expression is induced by ORF57 and selected one for further use (Supplementary Fig. 1). To perform a genome-wide screen for host factors that limit ORF59 expression, we transduced the selected clonal cell line with the puromycin-selectable lentiviral Brunello sgRNA library35. Seven days after transduction, we sorted for the highest GFP-intensity cells and prepared sequencing libraries from both the sorted and unsorted (input) populations (Fig. 1b). Three independent biological replicates of the screen were analyzed by MAGeCK, and the gene encoding the PNUTS protein (PPP1R10) emerged as the top hit (Fig. 1c)36.
To validate the results of the CRISPR screen, we compared reporter expression after treatment with one of two short-interfering RNAs (siRNAs) targeting PNUTS (siPNUTS 1 and siPNUTS 2) or a non-targeting control (siControl) (Fig. 1d, e). We assayed the steady-state levels of the ORF59-GFP RNA in the clonal reporter line (clone 1), as well as two independent clonal lines with the integrated reporter (Fig. 1f, g). Northern blots confirmed that PNUTS depletion increases the levels of the ORF59-GFP mRNA in all clones (Fig. 1f, g). Thus, the effect of PNUTS depletion is not restricted to the clone used in the CRISPR screen, and the effect with sgRNAs can be reproduced with siRNAs. Given this validation, we pursued a potential role for PNUTS in suppression of KSHV gene expression.
Depletion of PNUTS broadly enhances KSHV gene expression
We next asked if PNUTS affects ORF59 and other KSHV genes during lytic reactivation. To test this, we used iSLK cells that are latently infected with a bacmid that includes the complete KSHV genome as well as a constitutively expressed GFP as a marker of infection. These cells also carry a doxycycline-inducible copy of ORF50 integrated into the host genome37,38. Because the ORF50 transcription factor is necessary and sufficient to induce lytic phase, addition of doxycycline induces lytic reactivation3. The histone deacetylase inhibitor sodium butyrate (NaB) further enhances the efficiency of lytic induction. Consistent with our initial results, PNUTS depletion increased ORF59 mRNA levels at 24 h post-induction (hpi) relative to the non-targeting siRNA control (Fig. 2a). We observed increases in additional KSHV transcripts by RT-qPCR at multiple timepoints after lytic induction (8, 24, and 48hpi) (Fig. 2b; Supplementary Fig. 2a).
To gain a more complete picture of the role of PNUTS during the viral lytic gene expression cascade, we performed strand-specific RNA-seq with rRNA-depleted RNA at 0 (uninduced), 8, 24, and 48hpi. We observed robust increases to KSHV gene expression in PNUTS-depleted cells with most genes being upregulated (Fig. 2c). The largest differential expression occurred at 8hpi, suggesting that siPNUTS cells are faster to reactivate but gene expression in control cells may resemble siPNUTS-treated cells over time. We also observed increased viral gene expression in the uninduced samples (0hpi), but it is important to note that the overall expression remained considerably lower in latent phase compared to post-induction in both control and siPNUTS treated cells (Fig. 2d). Genome browser views of representative KSHV genes reflect the same patterns (Supplementary Fig. 2b). Importantly, we observed minimal changes in the expression of ORF50 from either the endogenous or exogenous locus, suggesting that the increased viral gene expression is not simply explained by premature induction of ORF50 expression (Fig. 2c; Supplementary Fig. 2c).
Increased levels of ORF59 have been reported to promote KSHV reactivation39, so PNUTS knockdown could be driving enhanced gene expression solely by promoting ORF59 expression. To test this hypothesis, we used two independent siRNAs targeting ORF59 to determine if restoring ORF59 RNA levels back to baseline negated the broader effect of PNUTS knockdown. After siRNA treatment, lytic reactivation was induced and RNA was harvested at 24hpi. Knockdown of PNUTS increased the levels of viral lytic genes and co-knockdown of ORF59 did not significantly abrogate this effect (Supplementary Fig. 2d). While it may be the case that increased ORF59 expression helps promote lytic reactivation after PNUTS knockdown, these results indicate that the observed effect of PNUTS on KSHV gene expression is not exclusively due to the increase in ORF59 RNA. Together, these data support the conclusion that PNUTS negatively impacts viral gene expression in the context of KSHV lytic reactivation as well as in reporter genes.
To test the effect of PNUTS depletion in patient-derived KSHV-infected cells, we transduced the primary effusion lymphoma TREx-RTA-BCBL1 cells with lentiviral CRISPR-Cas9 constructs targeting PNUTS or a non-targeting control40. Unlike the minimal toxicity we observed from 3-day siRNA-mediated knockdowns of PNUTS in HCT116 or uninduced iSLK cells, high cytotoxicity of sgRNA-mediated PNUTS knockout prohibited use of the TREx-RTA-BCBL1 for knockout experiments (Supplementary Fig. 2e). Therefore, we stably integrated inducible PNUTS (shPNUTS) or non-targeting (shControl) shRNA constructs into TREx-BCBL1 cells40. Importantly, these cells lack the doxycycline-inducible ORF50 transgene, so changes in viral gene expression cannot be an indirect consequence of any effect of PNUTS on the expression of an ORF50 transgene. At bulk levels, we observe only modest decreases in PNUTS protein in the shPNUTS cells (Fig. 2e, f). Nonetheless, diminished PNUTS protein correlated with increases in KSHV gene expression. Northern blotting revealed increased levels of ORF59 mRNA at 0, 24, or 72hpi (Fig. 2g, h). Other lytic genes assayed by RT-qPCR also had similar increases after PNUTS depletion, echoing our results in iSLK cells (Fig. 2i). Notably, after PNUTS depletion in both iSLK and in TREx-shRNA-BCBL1 cells, we observed increases in lytic gene expression prior to reactivation. All latently infected KSHV cell culture lines undergo varying amounts of spontaneous lytic reactivation, so this effect may indicate that there is an increased number of cells that undergo spontaneous reactivation upon PNUTS knockdown, or it may be due to higher levels of gene expression in that subset of cells that undergoes spontaneous reactivation. Alternatively, there could simply be more “leaky” transcription of lytic genes and the cells are not entering full lytic reactivation. In any case, our data show that PNUTS restricts viral gene expression in at least two independent KSHV-infected cell lines.
Depletion of PNUTS increases KSHV viral replication
The dramatic increase in KSHV gene expression after PNUTS knockdown may reflect enhanced viral replication. Alternatively, these increases may indicate that the normal patterns of regulated viral gene expression are lost, which would then reduce KSHV replication. To determine the effects on overall replication cycle, we first quantified viral DNA (vDNA) levels relative to host DNA in iSLK cells every eight hours after lytic reactivation over a 48-hour time course. Consistent with enhanced replication, we found that depletion of PNUTS increased vDNA content early in lytic phase (Fig. 3a).
To monitor infectious virus production, we induced reactivation in siPNUTS or siControl treated iSLK cells and harvested supernatants at 48hpi. Supernatants were filtered, benzonase treated to degrade free DNA, and used to infect HCT116 cells. Virion production was gauged by flow cytometry for GFP expressed from the KSHV bacmid (Fig. 3b). We observed a striking increase (>10-fold) in virus production from the PNUTS-depleted cells at 48hpi (Fig. 3c). Moreover, we detected infectious virus produced in PNUTS-depleted cells at 24hpi (Fig. 3d, e; Supplementary Fig. 3). In our hands, virus production from induced iSLK cells typically appears ~72–96hpi, so observation of virus production as early as 24hpi was quite unexpected. To test virus production in the TREx-shRNA-BCBL1 cells, we performed a similar experiment except that we assayed transcript levels of the latent gene LANA in the recipient cells by RT-qPCR (Fig. 3f). Once again, we observed an increase in infectious virus upon PNUTS depletion in these patient-derived infected cells (Fig. 3g). These results reveal a previously unknown relationship between PNUTS and KSHV and suggest that PNUTS acts as an intrinsic barrier to KSHV gene expression and replication.
PNUTS’ suppression of viral gene expression correlates with its PP1-binding and transcription activities
We next sought mechanistic insights into PNUTS’ suppression of KSHV gene expression. Because ORF59 is one of several KSHV RNAs targeted by nuclear RNA quality control pathways, we tested whether PNUTS may be functioning in these known pathways. To do so, we co-depleted PNUTS with RNA decay factors known to target ORF59 mRNA (Fig. 4a)5. Co-depletion of PNUTS with ZFC3H1 or MTR4 significantly increased ORF59-GFP RNA levels above those seen in each of the individual knockdowns. Interestingly, co-depletion of PNUTS and ARS2 did not have an additive effect (Fig. 4a). This is notable because ARS2 is not only a decay factor, but like PNUTS, it has been linked to transcription termination41,42,43. ARS2 depletion in iSLK cells enhances KSHV gene expression but, unlike PNUTS depletion, it does not enhance viral replication44. These data imply a role for PNUTS in viral gene expression distinct from RNA-decay pathways that post-transcriptionally target KSHV RNAs.
In mammalian transcription, PNUTS functions through its interaction with PP1, so we tested if this interaction is required for suppression of KSHV gene expression. To do so, we transiently co-transfected HEK293A-TOA cells with an ORF59-GFP reporter and empty vector control, an siRNA-refractory N-terminally Flag-tagged wildtype PNUTS (FL-PNUTS), or Flag-tagged PNUTS with the same siRNA-refractory mutations and a point mutation that abrogates PNUTS-PP1 binding (FL-W401A)23 (Supplementary Fig. 4a). As expected, knockdown of PNUTS increased ORF59-GFP mRNA expression, and this effect was rescued by the addition of WT PNUTS. However, the PP1-binding mutant PNUTS was not able to rescue the phenotype (Fig. 4b). Thus, the PNUTS mechanism for suppression of the ORF59 reporter requires its established regulatory role with PP1.
PNUTS-PP1 functions during pol II transcription in eukaryotic cells, so we wondered if it acted with other pol II regulators identified by our CRISPR screen14,20,21,23,25,45. Along with PNUTS, our screen identified the histone methyltransferase SETD1A, the cyclin-dependent kinase CDK12, and its associated cyclin partner cyclin K (CycK) (Fig. 1c). Interestingly, SETD1A is recruited to transcription start sites by interaction with the major PNUTS-interaction partner WDR82 and is also known to interact with CycK46,47,48. Like PNUTS depletion, loss of WDR82, PP1, or the SET1 H3K4 methyltransferase induces termination defects25. The CDK12-CycK complex is involved in regulation of pol II elongation and termination as well27,49. Depletion of SETD1A, CDK12, or Cyclin K with siRNAs all increased levels of ORF59-GFP in our reporter cells, validating our CRISPR results (Fig. 4c and Supplementary Fig. 4b). However, co-depletion of PNUTS with these factors did not increase ORF59-GFP levels beyond PNUTS depletion alone, indicating that PNUTS may function in the same pathway as these pol II regulators (Fig. 4c). We also note that loss of CDK12 has been shown to induce the premature cleavage and polyadenylation of specific transcripts, including PNUTS27. As such, the observed phenotypes of CDK12/Cyclin K depletion may be driven by the loss of PNUTS, or they may indicate a potential regulatory relationship between these factors. Together these data indicate that PNUTS functions with PP1 to downregulate ORF59 levels and suggest potential mechanistic overlap in this activity between PNUTS-PP1 and other transcriptional regulators identified in our screen.
PNUTS suppresses transcription readthrough in KSHV
To investigate a potential role of PNUTS in pol II transcription of KSHV genes, we tested whether loss of PNUTS induces similar transcriptional aberrations in KSHV genes as observed in mammalian genes. PNUTS-PP1 decreases pol II transcription rates after a cleavage and polyadenylation site has been recognized, which in turn increases pol II termination efficiency14. Therefore, we tested whether PNUTS-PP1 depletion leads to increased levels of transcription downstream of viral genes. We used our ORF59-GFP reporter line for these assays because direct observation of read-through transcription on the KSHV genome is complicated by the dense clustering of transcription units. Using northern blots of poly(A)-selected RNA probed for ORF59 or the downstream hygromycin resistance gene (Fig. 5a), we observed that PNUTS depletion leads to the accumulation of an extended read-through transcript. The length of the transcript corresponds to an elongated transcript spanning from the ORF59-GFP promoter through the hygromycin poly(A)signal (Fig. 5b). The hygromycin resistance mRNA is concomitantly downregulated in the siPNUTS cells, presumably due to promoter occlusion by read-through transcription50. These data support a similar role for PNUTS in pol II termination in our reporter as that observed in host genes.
PNUTS is an RNA binding protein, so we next investigated whether PNUTS binds viral RNAs during lytic reactivation19,21,24. We performed eCLIP using antibodies recognizing endogenous PNUTS to immunoprecipitate crosslinked RNA-protein complex from iSLK cells at 24hpi. PNUTS binding was enriched on viral RNAs, but this does not necessarily reflect a specificity for viral transcripts since most new transcription at this time point is viral due to KSHV host shutoff mechanisms51. The eCLIP assay uses a size-matched input (SMI) as a reference point, representing total input sample that is isolated in parallel with the immunoprecipitated samples after size separation on SDS-PAGE52. Comparison of immunoprecipitated (IP) signal to the SMI revealed crosslinking of PNUTS to regions immediately 3´ of the viral transcript end sites (TES). For example, IP and SMI coverage across the ORF40/41 locus is similar within the gene body but enhanced after the TES (Fig. 5c, compare purple and gray). Moreover, metagene plots confirm preferential PNUTS binding immediately downstream of viral TESs (Fig. 5d). We also noted an apparent increase in RNA-Seq reads mapping to the termination zones after PNUTS depletion (Fig. 5c, compare blue and black). This is unlikely to exclusively reflect the higher transcript levels since metagene analysis supports an increase in RNA abundance immediately downstream of viral TESs in the siPNUTS samples (Fig. 5e; Supplementary Fig. 5). Together, these observations suggest that PNUTS serves similar roles in transcription termination of viral genes as it does with host genes.
PNUTS promotes 5´ pol II pausing on the ORF59-GFP viral reporter
While our data support a role for PNUTS in viral transcription termination, it is not immediately obvious how this activity would suppress viral gene expression. In one hypothesis, PNUTS-induced slowdown of pol II downstream of viral TESs leads to a “traffic jam” that slows pol II along the viral gene. Alternatively, PNUTS may impede transcription elongation along viral genes by affecting promoter clearance. To distinguish these hypotheses, we monitored RNA synthesis by RNA labeling and chromatin immunoprecipitation (ChIP) assays. We could not use the reactivated virus or our GFP reporter because the highly transcribed genes are too closely spaced to resolve pol II occupancy from upstream versus downstream genes. Therefore, we constructed a new reporter that eliminates the hygromycin promoter (PGK) and inserts a segment of non-expressed KSHV genomic sequence (Fig. 6a; K11). After integration into the AAVS1 site of HCT116 and clonal line selection, we verified that PNUTS depletion yields robust increases of ORF59-GFP RNA (Supplementary Fig. 6a). To test pol II activity, we performed 4SU-labeled RNA capture to compare the levels of RNA synthesized during a 10-minute 4SU pulse. We observed enhanced levels of newly made RNA at two amplicons along the reporter with two different anti-PNUTS siRNAs, although the second siRNA has a less dramatic effect, consistent with its reduced knockdown efficiency (Fig. 6a, b; Fig. 1d). These results support the idea that enhanced pol II activity on viral genes leads to the increase in steady-state RNA levels, but they do not distinguish between the traffic jam and promoter clearance models.
To make this distinction, we performed two independent biological replicates of ChIP experiments using an antibody targeting the pol II RBP3 subunit. We used Drosophila spike-in chromatin to normalize ChIP-seq with both PNUTS siRNAs and control. Consistent with published studies demonstrating that PNUTS causes pol II slow-down after TESs, PNUTS depletion led to reduction of pol II peaks downstream of human gene TESs and increased pol II occupancy further downstream (Fig. 6c, d). PNUTS-depleted cells had minimal reductions in pol II promoter and gene body occupancy (Fig. 6e; Supplementary Fig. 6b). However, the pol II profiles on the reporter are distinct from those on most human genes. First, we do not detect a clear pol II pause site downstream of either of the poly(A) sites (Fig. 6f; Supplementary Fig. 6c). Second, and more importantly, the promoter-proximal pol II peak is reduced, and pol II density increases in the gene body upon PNUTS depletion. Indeed, the pause index (PI), which quantifies reads in the promoter-proximal (PP) region relative to those in the promoter distal (PD) region, is considerably lower in our reporter (Fig. 6g; Supplementary Fig. 6d). These data strongly support the conclusion that PNUTS restricts ORF59-GFP gene expression by contributing to promoter-proximal pausing. As a result, loss of PNUTS activity increases pol II activity along the gene thereby enhancing gene expression.
Consistent with previous reports, the lowered PI was not evident for host genes at the global level (Fig. 6h)14,25,53. In fact, a small but statistically significant increase in PI was observed only for siPNUTS 2, but the biological relevance of this is questionable. Since viruses often usurp mechanisms from their hosts, we examined metagene profiles for host genes sharing features of many viral genes. Analysis of intronless genes, short protein-coding genes (<6 kb), and lincRNAs revealed no clear similarities in pol II occupancy to the reporter (Supplementary Fig. 6e–g). Thus, further work is required to determine whether specific host genes require PNUTS for promoter-proximal pausing.
PNUTS promotes 5´ pol II pausing on the T1.4 KSHV gene
The unexpected 5´ pause effect we observed on our integrated reporter prompted us to ask if we could observe this activity of PNUTS directly on the viral genome. As previously noted, the density of transcription units and high levels of pol II occupancy during lytic replication prevent analysis of pol II profiles on the viral genome by ChIP-Seq. However, prior studies have identified the presence of promoter-proximally paused pol II on some KSHV genes during latency, when overall pol II density on the viral genome is very low26. Additionally, we have observed that depletion of PNUTS increases the expression levels of some KSHV RNAs before lytic induction (Fig. 2c, d). Therefore, we performed pol II ChIP-Seq in latently infected iSLK cells after PNUTS knockdown. These experiments revealed a 5´ pause release pattern mirroring that observed on our integrated reporter for the KSHV T1.4 RNA (Fig. 7a). While its function remains unclear, T1.4 is transcribed from the origin of lytic replication locus (oriLyt) and is essential for replication54,55. The T1.4 ORF contains two direct repeats where ChIP-Seq reads cannot be mapped (Fig. 7a, DR1 and DR2), so to calculate pol II occupancies in the promoter compared to the gene body we selected a region outside of the direct repeats but upstream of both alternative polyadenylation sites for the T1.4 RNA (Fig. 7a top, PP and PD, red). In siPNUTS-treated cells, we observed increased pol II occupancy in both PP and PD regions, but a more marked increase in the latter (Fig. 7a, b). Indeed, we find that both PNUTS siRNAs decrease the pause index for T1.4, indicating that PNUTS affects 5´ elongation blocks on at least one other virally encoded gene, and this mechanism is operative in the context of the latent viral genome (Fig. 7c).
RNA-Seq data and RT-qPCR data from uninduced iSLK cells and TREx-shRNA-BCBL1 cells confirm increased levels of the T1.4 RNA after PNUTS depletion (Fig. 7d, e; Supplementary Fig. 7a). Importantly, PNUTS does not appear to affect promoter pausing on all viral genes. ChIP-Seq profiles of the latency locus in uninduced cells do not display the same altered 5´ pause profile, and do not show increased expression after PNUTS knockdown (Supplementary Fig. 7b, c; Fig. 2c). Instead, these genes reflect the majority of host genes, with minimal changes within the gene body but increased readthrough transcription downstream of the polyA site (Fig. 6d, e; Supplementary Fig. 7b, d). Our data strongly suggest that PNUTS functions in viral gene termination similar to host genes, but additionally plays a suppressive role on specific KSHV genes by promoting promoter-proximal pausing (Fig. 7f).
Discussion
The complex mechanisms of mammalian transcription, RNA processing, and translation create intrinsic barriers for viral gene expression within the host cell. Although these barriers did not necessarily evolve to thwart viral propagation, viruses must regulate their own gene expression within this cellular context. For example, the nonsense-mediated RNA decay (NMD) pathway likely evolved to protect cells from toxic effects of truncated proteins, but NMD presents a barrier to both DNA and RNA viruses56,57. Based on the work presented here, we propose that the PNUTS-PP1 complex is a previously unidentified intrinsic barrier to KSHV gene expression. Mechanistically, we show that PNUTS-PP1 is important for proper termination of KSHV genes, similar to its defined roles in human gene expression (Fig. 7f, top). In addition, we found that the up-regulation of T1.4 and ORF59 genes results from PNUTS-PP1 restriction of pol II at the 5´ ends of the genes (Fig. 7f, bottom). The extent of this promoter-proximal region pausing in other viral and host genes remains unknown, but we think it is likely that other viral and host genes are targeted in this fashion. Given its suppressive role, it is possible that KSHV evolved mechanisms to actively repress PNUTS activity. In fact, PNUTS was found to bind KSHV ORF35 in a high-throughput interaction screen58. Alternatively, KSHV may use PNUTS to restrict viral gene expression as part of its carefully regulated strategy to control the latent-to-lytic switch.
PNUTS suppresses ORF59 expression from heterologous reporters and T1.4 in the viral genome. In addition, the inactivation of PNUTS leads to widespread upregulation of KSHV gene expression and more rapid virus production (Figs. 2 and 3). However, it is not clear how many of the KSHV genes that are up-regulated are direct targets of PNUTS-PP1 regulation or if indirect mechanisms of PNUTS knockdown are the primary drivers of enhanced viral replication. Given the interdependence of KSHV gene expression, it is possible that only a few genes are directly suppressed by PNUTS-PP1, but the expression of these specific transcripts is rate-limiting for viral reactivation. While ORF59 expression promotes lytic gene expression39, our data show that its upregulation is not exclusively driving the global up-regulation of KSHV genes upon PNUTS depletion (Supplementary Fig. 2d). Alternatively, the upregulation in KSHV gene expression during latent phase after PNUTS depletion (Fig. 2c) may somehow “prime” the virus to reactivate more quickly leading to the enhanced viral gene expression and virus production at early time points after lytic reactivation. Indeed, the T1.4 transcript is generated from the oriLyt region, and its expression is necessary for lytic reactivation and oriLyt function54,55. It is possible that premature transcription of this essential transcript during latency lowers barriers to efficient lytic reactivation. Finally, it is possible that specific host genes are differentially expressed in the latently infected cell that modulates reactivation efficiency. Thus, we demonstrate here that PNUTS-PP1 has a robust effect on KSHV gene expression and replication, but the specific relevant targets remain unknown.
The most well characterized function of PNUTS in human genes occurs at the end of genes in the termination zone14,25. Importantly, PNUTS appears to maintain its termination functions for viral genes. It binds after the TES (Fig. 5d) similar to its ChIP profile in human genes, and PNUTS depletion leads to pol II readthrough downstream of viral genes (Fig. 5b, e). Nonetheless, our data indicate that the upregulation of the viral reporter and the T1.4 gene’s expression upon PNUTS depletion is governed by changes in transcription at the 5´ end of the gene (Figs. 6f and 7a). Notably, PNUTS slows average pol II elongation rates within human gene bodies (~60%), just not to the extent that it does in the termination zone (~3.4-fold)14. Moreover, PNUTS has been reported to be a MYC co-factor at promoters45,59. Thus, even though human genes are not globally upregulated upon PNUTS depletion, roles for PNUTS in promoter-proximal regions are not unprecedented, and the PNUTS mechanism on viral genes may reflect these activities.
The changes in pol II pausing that drive reporter gene upregulation could arise from any one of a number of possible mechanisms. First, PNUTS may contribute to the promoter-proximal pause that occurs on nearly all pol II transcribed genes. Indeed, PNUTS-PP1 has been implicated in dephosphorylation of the serine 5 of the CTD as well as Spt5, both of which are implicated in promoter clearance14,20,47,60,61. Second, pol II could be subject to PNUTS-dependent premature termination on specific viral genes. In this model, premature termination occurs on viral genes at promoter-proximal sites, not unlike the premature cleavage and polyadenylation (PCPA) events that occur in mammalian genes62,63,64. This idea is appealing in that it maintains the known activity of PNUTS in termination but suggests that it further applies near the 5´ ends of specific viral genes. Third, PNUTS may promote the clearance of stalled pol II by promoting pol II degradation. In fact, PNUTS-PP1 and its binding partner WDR82 have been implicated in promoting pol II turnover on chromatin in a proteosome-dependent manner60, and the PNUTS-PP1 dephosphorylation substrate Spt5 has also been linked to pol II stability at promoters and processive elongation61,65,66. Distinguishing among these and alternative models is critical to a thorough understanding of PNUTS-PP1 mechanisms in KSHV gene expression.
Of particular interest in future studies is definition of the cis-acting features of ORF59, T1.4, and other KSHV genes which drive regulation by PNUTS. Preliminary analyses of human genes with shared features of short length or lack of introns did not uncover broad trends of PNUTS-dependent 5´ pausing (Supplementary Fig. 6e–g). However, previous studies have noted increases in promoter upstream transcripts (PROMPTs) and enhancer RNAs following loss of PNUTS25,53; these transcription units resemble KSHV genes in that they tend to be short and lack introns. Moreover, human intronless genes often contain cis-acting elements that compensate for the lack of introns in gene expression, so these may differ from viral or reporter genes that lack introns67. Consistent with the role for splicing and/or the presence of an intron, 5´ splice sites recruit U1 snRNP to counteract PCPA events64. In addition, the spliceosomal U2 snRNP promotes pause release, and PNUTS has been reported to regulate the phosphorylation of U2 snRNP component SF3B121,60,68. These links between splicing and pol II pause release lead to the speculation that the lack of introns in viral genes, eRNAs, and PROMPTs drives PNUTS-responsiveness of these transcripts.
The data presented here support the conclusion that PNUTS-PP1 creates an intrinsic barrier to KSHV gene expression. Moreover, they suggest that PNUTS-PP1 suppresses gene expression by controlling elongation efficiency near the 5´-end of transcripts. We anticipate that future work will extend these observations to additional viruses, identify direct KSHV targets, and probe the detailed mechanism of PNUTS-PP1 suppression of KSHV gene expression and replication.
Methods
Cell culture
All cell lines were grown at 37 °C with 5% CO2, with 1X penicillin-streptomycin (Sigma), and 2mM L-glutamine (Fisher). HEK293A-TOA cells were developed as previously described7, and 293T and HCT116 cells were acquired from ATCC. The iSLK cells were a generous gift from Dr. Rolf Renne37,38. TREx-BCBL1 and TREx-RTA-BCBL1 cells were a generous gift from Dr. Jae Jung40. HCT116 cells and derivatives, 293T, HEK293A-TOA, and iSLK cells were grown in Dulbecco’s modified Eagle medium (DMEM; Sigma) supplemented with 10% fetal bovine serum (FBS, Sigma). HEK293A-TOA, 293T, and iSLK cells were grown in Tet-free serum (Atlanta Biologicals). The HCT116 AAVS1-ORF59-GFP-Hyg clones were maintained in 50 μg/mL hygromycin. Inducible SLK (iSLK) cells with an integrated doxycycline-responsive KSHV ORF50 transgene and KSHV BAC16 were grown in the presence of 0.1 mg/mL G418 (Fisher), 1 μg/ml puromycin (Sigma), and 50 μg/ml hygromycin. TREx-RTA-BCBL1 cells were grown at 105–106 cells/mL in RPMI 1640 (Sigma R8758) supplemented with 10% Tet-free FBS. These cells were induced into lytic reactivation by treatment with doxycycline (1 μg/ml) and sodium butyrate (NaB, 0.3 mM). TREx-shRNA-BCBL1 lines were likewise maintained in 10% Tet-free FBS and treated with doxycycline (1 μg/ml) to induce shRNA expression for 7 days prior to inducing lytic reactivation with 0.3 mM NaB.
Plasmid construction
The plasmid hAAVS1-ORF59-GFP-Hyg was generated as follows. ORF59 was amplified from KSHV genomic DNA isolated from iSLK cells using primers NC2424 and NC2422. These, and all oligonucleotide sequences can be found in Supplementary Table 1; all plasmids are listed in Supplementary Table 2. The amplified product was inserted into the hAAVS1-CMV-GFP-Hyg vector, (a gift from Dr. Joshua Mendell), using BstBI and KpnI sites and standard molecular biology techniques69. The hAAVS1-ORF59-GFP-K11 plasmid was made by digestion of the hAAVS1-ORF59-GFP-Hyg plasmid with AgeI and AsiSI to remove most of the PGK promoter and part of the hygromycin resistance gene. The ~2 kb KSHV K11 fragment was amplified with NC3761 and NC3762 and inserted after AgeI and AsiSI digestion using conventional cloning techniques.
To generate sgRNA expression plasmids targeting specific genes we first made a derivative of pLentiCRISPRv2, a generous gift of Dr. Feng Zhang (Addgene#52961)70. This plasmid, pLentiCRISPRv2TC, contains two point mutations that decrease the efficiency of PCR in the second PCR step of CRISPR screen library preparation. The mutations decrease the chances that these frequently used plasmids will contaminate subsequent unbiased library preparation. We used SOEing PCR to create pLentiCRISPRv2TC71. One fragment was generated by PCR using primers NC3180 and NC3181 while the second used NC3182 and NC3183; both reactions used pLentiCRISPRv2 as a template. These fragments were then used as templates for amplification using primers NC3180 and NC3183. The resulting PCR product was digested with EcoRI and XbaI and ligated to pLentiCRISPRv2 cut with the same.
To make sgRNA constructs, targeting sequences were cloned into pLentiCRISPRv2TC. For PNUTS-targeting constructs, targeting sequences from the Brunello guide RNA library were cloned into pLentiCRISPRv2TC using the BROAD Institute cloning scheme72. Briefly, oligonucleotides and the pLentiCRISPRv2TC plasmid were digested with BsmBI, then oligonucleotides were phosphorylated by incubation with T4 PNK (NEB M0201S) before annealing of oligonucleotide pairs and ligation into the digested plasmid. Oligonucleotides for PNUTS sgRNA #1 were NC3323/NC3324, and NC3325/NC3326 for PNUTS sgRNA #2. Non-targeting control sgRNA construct was constructed in the same way, using NC3198 and NC3199. The shRNA constructs were made by ligation of annealed hairpin oligonucleotides with overhangs compatible with AgeI/EcoRI digested pLKO-Tet-On-puro plasmid (a generous gift of Dr. Dmitri Wiederschain, Addgene #21915)73. PNUTS shRNA oligonucleotides were NC4006 and NC4007. Non-targeting shRNA control was a gift from Dr. Roland Friedel (Addgene #98398)74. All sgRNA and shRNA constructs were transformed into stable Sbtl3 E. coli.
Flag-tagged PNUTS constructs were generated by PCR amplification using a PNUTS cDNA pcDNA3.1+/C-(K)-DYK plasmid from GenScript as template (ORF clone ID: OHu03101D). Two PCR products were synthesized with overlapping silent mutations introduced to the sequence targeted by siPNUTS #1 (Supplementary Table 1). Fragment one was amplified using NC3380 and NC3632, and fragment two was amplified using NC3631 and NC3381. The siRNA target sequence was altered from GCAATAGTCAGGAGCGATA to GTAACAGCCAAGAACGTTA. Full-length siRNA-refractory PNUTS was amplified by stitching PCR fragment one and two using NC3380 and NC3381 primers, which carry BamHI and XhoI sites, respectively. The amplified full-length PNUTS cDNA was then digested with BamHI / XhoI and cloned into an N-terminal Flag-tagged pcDNA3 plasmid. For the W401A PP1 binding mutant PNUTS, Tryptophan 401 was mutated to Alanine by introducing a TGG to GCT codon change using overlapping PCR fragment SOEing as described above, amplified from the siRNA refractory construct. Fragment one was amplified with primers NC3380 and NC3655, and fragment two using NC3654 and NC3381. Amplified fragments were subsequently used for PCR with NC3380 and NC3381 and the resulting product was cloned into pcDNA3-Flag as above.
Generation of GFP-reporter lines
To integrate the ORF59-GFP reporter into the AAVS1 locus, HCT116 cells were co-transfected in a 6-well plate with 0.2 µg AAVS1 1 L TALEN, 0.2 µg AAVS1 1R TALEN, and 1.6 µg hAAVS1-ORF59-GFP-Hyg70. The next day cells were split to 10 cm plates, and hygromycin was added to 200 µg/ml. Cells were selected for a total of 10 days. Fluorescence-activated cell sorting (FACS) was used to select single cells with low to moderate GFP signal for expansion. Clonal cell lines were further screened by two methods. First, we assayed for increased GFP expression upon KSHV ORF57 expression. Second, we analyzed GFP levels after depletion of nuclear RNA decay factors44. Those clones that increased GFP in both these conditions were selected for further experiments. To generate the ORF59-GFP-K11 reporter line, stable cell clones were generated using the same technique with the hAAVS1-ORF59-GFP-K11 donor plasmid, except no hygromycin selection was performed.
Transfection and siRNA knockdown
All siRNA knockdowns were performed on cells at 60–80% confluency with 30 nM siRNA (Silencer Select; ThermoFisher) using RNAiMax transfection reagent (Invitrogen) according to the manufacturer’s protocol. For co-depletion assays, 60 nM siRNA was used overall, with 30 nM for each target. Catalog numbers for specific siRNAs are listed in Supplementary Table 1. The day after siRNA transfections, cells were split ~1:4 to new plates. For iSLK knockdown and reactivation experiments, iSLK cells were induced with 1 μg/ml doxycycline and 1 mM NaB two days after siRNA transfection. For plasmid transfection assays, cells were transfected with plasmid DNA two days after siRNA treatment using Transit293 transfection reagent (Mirus) and harvested 24 h later.
Western blotting
Total protein was harvested by direct lysis with SDS protein buffer (100 mM Tris-HCl pH 6.8; 20% Glycerol; 4% SDS; 2% 2-mercaptoethanol; 0.1% bromophenol blue) and resolved by SDS-PAGE by standard western blotting protocols. All antibodies and dilutions are listed in Supplementary Table 2. Imaging of western blots was done with infrared detection with Odyssey Fc and signal was quantified by ImageStudio (v5.2) software (Li-Cor Biosciences).
Northern blotting
Total RNA was harvested using TRI reagent (Molecular Research Center, Inc), and processed according to the manufacturer’s protocol. Northern blots were probed with radiolabeled RNA probes produced using templates made by plasmid digestion or PCR products with T7 or SP6 RNA polymerase promoter sequences. Briefly, 3 μg total RNA per lane was resolved on 1.2% formaldehyde-agarose gels and transferred to nylon membrane (Hybond N+, GE Healthcare). Probes were in vitro transcribed with 25 uCi of α-32P-UTP (800 Ci/mmol); 0.5 mM ATP, CTP, GTP, and 0.1 mM UTP; 40 mM Tris pH-7.5; 6 mM MgC l2; 10 mM DTT, 200 ng DNA template, RNAsin Plus (Promega), and T7 or SP6 polymerase. Probes were hybridized overnight to membranes in Church’s hybridization buffer (7% SDS, 15% formamide, 1 mM EDTA, 1% bovine serum albumin, 200 mM phosphate buffer) at 65 °C75. Blots were then washed before imaging in 0.1% SDS washes with 2×, 0.5×, and 0.1× SSC (150 mM NaCl, 15 mM sodium citrate). For the readthrough transcription blots, probes were synthesized with 0.5 mM UTTPαS (TriLink Biotechnologies). After imaging, these blots were stripped for reprobing by incubation at 65 °C in strip buffer (7% SDS, 50% formamide, 20 mM phosphate buffer, and ~6 mM I2). All blots were imaged with a Typhoon FLA 9500 Phosphorimager (GE Healthcare), and bands quantified using ImageQuant v5.2.
For polyA-selected northern blots, 40 μL of 50% slurry Sera-Mag oligo(dT)-coated magnetic particles (GE Healthcare Lifesciences) was washed and equilibrated in 1×SSC with 0.1% SDS and 80 μg total RNA was added. The samples were then nutated for 20 min at RT, washed three times in 0.5× SSC with 0.1% SDS before elution of the bound RNA with water for 5 min, once at room temperature (RT) and again at 65 °C. Combined eluted RNA was purified with phenol:chloroform:iso-amyl alcohol 25:24:1 (PCA) extraction, and an additional chloroform extraction before ethanol precipitation.
CRISPR screen
Genome-wide CRISPR screen was performed as described in detail in Scarborough et al. except transduced reporter cells were maintained in normal media plus puromycin and sorted on day 7 after lentiviral transduction for the top 8% highest GFP-expressing cells76. Briefly, cells were plated at ~4 × 105 cells/well on sixteen 6-well plates and transduced with lentivirus carrying the human Brunello CRISPR knockout pooled library (a gift from Drs. David Root and John Doench; Addgene #73178)35. Lentivirus titer was adjusted to yield ~20% infection of cells to avoid co-infection with more than one guide per cell. Overall coverage for the library was 100× at infection. Two days after infection, cells were selected with 1 µg/mL puromycin and expanded as necessary. Seven days post infection, cells were sorted for the highest ~8% GFP expressing cells using a FACSAria Fusion Cell Sorter. Minimum coverage for all three biological replicates calculated at the cell sorting was 200× (calculation details described in Scarborough et al., 2021)76. Sorted and unsorted input cell samples were harvested, and sequencing libraries were made using a two-step PCR variation of the BROAD Institute protocol72. Libraries were single-end sequenced configured to 75 bp on an Illumina NextSeq 500 with an average of 15.7 million reads per sample. Analysis was performed with MAGeCK-VISPR workflow, with batch correction of three biological replicate screens77. The CRISPR data are posted under GEO accession number GSE200991, under a super-series with all following datasets with the GEO accession number GSE201046.
RT-qPCR
RNA was harvested with TRI reagent according to the manufacturer’s protocol. Purified RNA was treated with RQ1 DNase (Promega) and cDNA was synthesized with murine leukemia virus (MuLV) reverse transcriptase (New England Biolabs) with oligo(dT)20 priming. All real-time PCR mixes performed with iTaq Universal SYBR green Supermix (Bio-Rad) and analyzed with QuantStudio (v1.5.2). Gene-specific primer sequences can be found in Supplementary Table 1.
RNA-Seq
iSLK cells were transfected with siRNA and induced into lytic replication. Cells were harvested in TRI Reagent at induction (0hpi), after 8, 24, and 48 h of lytic reactivation. One microgram of total RNA per sample was processed with KAPA Stranded RNA-Seq kit with RiboErase (KAPA Biosystems) according to the manufacturer’s protocol. Strand-specific single-end RNA sequencing was performed on an Illumina HiSeq 2500. Reads with Phred quality scores less than 20 and less than 35 bp after trimming were removed from further analysis using Trim Galore (v0.4.1)78. Quality-filtered reads were then aligned to the human reference genome hg19, with KSHV GQ994935.1 as an extra chromosome, using the HISAT (v2.0.1)79 aligner with default settings. Duplicates were marked but retained using Sambamba (v0.6.6)80. Aligned reads were quantified using featureCounts (v1.4.6)81 per gene ID against GENCODE GRCh3782. Differential gene expression analysis was performed using the R package DESeq2 (v1.6.3)83. Cutoff values of absolute fold change greater than 2 and FDR < 0.1 were used to select for differentially expressed genes between sample group comparisons. RNA-Sequencing data are posted under GEO accession number GSE201000.
Lentivirus production
All sgRNA and shRNA lentiviruses were generated in the same fashion. Approximately 50–70% confluent 293T cells were transfected with the target pLentiCRISPRv2 or pLKO-Tet-On derived plasmid along with packaging plasmids psPAX2 and psPMD.2 (gifts from Didier Trono, Addgene #12260, #12259). Target plasmid, psPAX2, and psPMD.2 were transfected at 5:3:2 ratios, respectively. Media was harvested two days after transfection, filtered with 0.45 µM filters and supplemented with 20 mM HEPES. Lentivirus particles were concentrated ~4–6 fold by centrifugation at 1000 × g at 4 °C with Amicon Ultra-15 centrifugal filters (Merck).
Generation of sgRNA TREx-BCBL1 and TREx-shRNA-BCBL1 cell lines
Non-targeting control or sg/shPNUTS lentivirus particles were mixed with 2 × 106 TREx-RTA-BCBL1 or TREx-BCBL1 cells supplemented with 20 mM HEPES and 8 μg/ml polybrene (Sigma) and centrifuged at 800 × g for 45 min at 32 °C, then incubated overnight. Forty-eight hours post-transduction, cells were selected by puromycin addition (3 μg/ml). To induce expression of shRNAs, cells were passaged at 2 × 105 cells/mL with 1 μg/ml doxycycline. After 7 days in doxycycline, cells were induced into lytic viral replication with 0.3 mM NaB, and total RNA and protein harvested after 24, 48, and 72 hpi. Viral supernatant transfer assays performed as described below, except the recipient cells were assayed by harvesting total RNA followed by RT-qPCR analysis of latent KSHV gene expression.
vDNA timecourse
Total DNA was harvested with DNAzol Reagent (Fisher) using the manufacturer’s protocol. iSLK cells were treated with siRNA and induced into lytic reactivation as described. Purified DNA was assayed by qPCR using 5 ng total DNA per reaction as template using primers NC3030/NC3031 for KSHV ORF58, and host DNA was assayed using 7SK primers NC1164/NC1165.
KSHV infection assays
For KSHV infection assays, supernatants from iSLK and TREx-shRNA-BCBL1 cells were harvested from lytically induced cells. Supernatants were centrifuged for 5 min at 1000 × g, filtered with 0.45 um filters, and supplemented with 20 mM HEPES before flash-freezing in liquid nitrogen. Supernatants from iSLK cells were pre-treated with Benzonase for 30 min at 37 °C before infection (Sigma). For spinfection, supernatants were mixed 1:1 with regular media and 8 μg/ml polybrene and added to ~50–70% confluent HCT116 cells. After centrifugation for 45 min at 800 × g and 32 °C, plates were incubated at 37 °C for 2hrs before infection media was removed and replaced with fresh media. Twenty-four hrs later, HCT116 cells were harvested with TRI reagent for TREx-shRNA-BCBL1 experiments. For iSLK experiments, cells were trypsinized and pelleted at 800 × g for 5 min at 4 °C, resuspended in 1% formaldehyde in PBS, and fixed overnight at 4 °C for flow cytometry.
Flow cytometry
Formaldehyde fixed samples were pelleted and resuspended in 1× PBS with 3% FBS and analyzed with a Stratedigm S1000 flow cytometer using CellCapture (v3.1) software (Stratedigm, Inc). Data analysis was performed with FlowJo (v 9.9.5) (FlowJo LLC).
ChIP
For ChIP assays, cells were fixed with 0.5% formaldehyde at RT for 10 min then quenched with 150 mM glycine at RT, 5 min. Cells were harvested by scraping in cold 1× PBS and pelleted at 1000 × g, 5 min at 4 °C. Harvested cells were lysed for 30 min at 4 °C in Farnham lysis buffer (5 mM PIPES, 85 mM KCl, 0.5% NP-40, 1 mM PMSF, 1× protease inhibitor cocktail (PIC)). Samples were Dounce homogenized and then 20 × 106 nuclei per sample were collected by centrifugation (1000 × g, 5 min at 4 °C) and resuspended to 25 × 106 cells/mL in Szak’s RIPA Buffer (50 mM Tris-HCl pH 8, 1% NP-40, 150 mM NaCl, 0.5% Deoxycholate, 0.1% SDS, 2.5 mM EDTA, 1 mM PMSF, and 1× PIC). Chromatin was fragmented to an average size distribution of ~100–300 base pairs by sonication for 25 min at 4 °C (30 s ON, 30 s OFF at 50% Amp) using a QSonica Q800 sonicator. 50 ng of Drosophila spike-in chromatin was added to each sample (Active Motif Cat. #53083). Fragmented chromatin was pre-cleared by 50 µl of Dynabeads Protein A (Invitrogen) by nutation at 4 °C for 1 h. In parallel, 100 µl per sample of 50% slurry Dynabeads Protein A were conjugated to 5 µg anti-RPB3 antibody (Cat. #ABE999, Millipore) and 2.5 µg antibody for the Drosophila-specific histone variant H2Av (Active Motif Cat. No 61686) by nutation at 4 °C for 1 hr in 1× PBS-Tween (0.05%). Antibody-coated beads were then washed and equilibrated in Szak’s RIPA buffer before blocking with 5% BSA in Szak’s RIPA Buffer for 1 h at 4 °C. Input samples (5%) were taken from pre-cleared chromatin, then the remainder added to the blocked antibody coated beads, and the ChIP was performed overnight at 4 °C. All ChIP washes were performed twice, for 5 min at 4 °C, with nutation. ChIP wash solutions were as follows: Szak’s RIPA buffer, low salt buffer (0.1% SDS, 1% NP-40, 2 mM EDTA, 20 mM Tris-HCl pH 8, 150 mM NaCl), high salt buffer (as in low salt buffer, except with 500 mM NaCl), LiCl buffer (250 mM LiCl, 1% NP-40, 1% Deoxycholate, 1 mM EDTA, 20 mM Tris-HCl pH 8), and TE buffer (10 mM Tris-HCl pH 8, 1 mM EDTA). Immunoprecipitated chromatin was eluted from the beads for 30 min at 65 °C in elution buffer (100 mM NaHCO3, 1% SDS), then crosslinks were reversed overnight at 65 °C in decrosslinking buffer (500 mM NaCl, 2 mM EDTA, 20 mM Tris-HCl pH 6.8, 0.5 mg/mL Proteinase K). Input samples were treated with the elution and crosslink reversal steps in parallel. Finally, input and ChIP DNA was processed with Zymo research ChIP DNA clean and concentrator kit (Zymo Cat. #D5201) before validation by qPCR. For ChIP-seq library preparations, 4 ng of ChIP or input DNA was processed using the KAPA Hyper Prep Kit according to the manufacturer’s protocol (Roche KK8504). Size-selected and amplified libraries were submitted for next-generation sequencing with Illumina HiSeq 2500, configured to 75 bp single-end reads.
ChIP-Seq analysis
For ChIP-Seq in the reporter HCT116 cell line, chimera genome assembly and genome annotation were constructed by integrating ORF59-GFP reporter into human genome at position chr19:55,115,766–55,121,825. Raw Fastq reads were checked for data quality using FastQC/0.11.9 and filtered for low-quality base calls (Phred score <20) and adapter contaminations using trimgalore/0.6.4. Reads were then aligned to a combined genome constituted of human (GRCh38 with reporter), and Drosophila (dm6) using Bowtie2/2.3.3 with default parameters. The aligned reads were filtered for mapping quality (MAPQ 30) and PCR duplicates by SAMtools/1.6 and Picard/1.127 respectively. Uniquely aligned reads corresponding to Drosophila (spike-in) were subsequently separated from the human prior to calculating size factors for spike-in normalization using DESeq2 (v1.6.3). The size factors were then applied to reads aligned to human genome using bamCoverage of deeptools suit (2.5.0.1). The ChIP-seq data for two biological replicates for each condition were highly correlated (Pearsons’ correlation ≥ 0.98). Input normalized bigWig tracks were produced using bamCompare for metagene analysis and for visualization in the Integrative Genomics Viewer (IGV).
Pausing indices were determined by calculating the ratio of read coverage in the promoter-proximal region (−50/+300 bp relative to transcription start site, TSS) and promoter-distal region (+301 bp to +300 bp past TES) as described previously84. Non-active genes (with low read coverage in the promoter-proximal region) were excluded from the analysis of PI of protein-coding endogenous genes. For the genes with multiple annotated isoforms, only the isoform with the strongest signal at promoter-proximal region was selected. Genes that were less than 1 kb long or within 10 kb of nearby genes were excluded from the PI and metagene analysis. A custom Perl script was used to extract genomic coordinates of intronless and lincRNA genes from GENCODE GTF (v27). ChIP-Sequencing data in HCT116 cells are posted under GEO accession number GSE200992. ChIP-Seq data analysis for iSLK cells was performed as above except samples were normalized to per million mapped reads (RPM) and mapped to KSHV GQ994935.1 as an extra chromosome. ChIP-Seq data from iSLK cells are posted under GEO accession number GSE215345.
4SU capture of newly made transcripts
Cells were incubated with 500 µM 4-Thiouridine (4SU, TriLink Biotechnologies) for 10 min at 37 °C, then the RNA was harvested in TRI reagent and treated with RQ1 DNase. To biotinylate the 4SU-labeled RNA, 80 µg per sample of purified RNA was incubated for 3 h at 25 °C with 0.2 mg/mL Biotin-HPDP (Thermo Fisher) in 10 mM Tris-HCl pH 7.5, 1 mM EDTA, and 0.1% SDS. After biotinylation, RNA was extracted twice with chloroform and precipitated with ethanol and 1 M ammonium acetate. To precipitate biotinylated RNA, 20 µl of a 50% slurry per sample of Dynal MyOne Streptavidin T1 beads (Thermo Fisher) were washed and equilibrated in MPG 1:10-I (100 mM NaCl, 1 mM EDTA, 10 mM Tris-HCl pH 7.5, 0.1% Igepal). Beads were blocked for 1 h at room temperature in MPG 1:10-I supplemented with 0.1 µg/µL poly(A) RNA (Sigma), 0.1 µg/µL cRNA, 0.1 µg/µL sheared salmon sperm DNA (Sigma) and 0.1% SDS. An aliquot (5%) of the resuspended biotinylated RNA was saved as input, and the remainder was mixed with the blocked beads and nutated at room temperature for 1 h. Beads were washed eight times: MPG1:10-I, MPG1:10 (no Igepal) at 55 °C, twice with MPG-I (1 M NaCl, 10 mM EDTA, 100 mM Tris-HCl pH 7.5, 0.1% Igepal), MPG1:10-I, MPG-I no salt (10 mM EDTA, 100 mM Tris-HCl pH 7.5, 0.1% Igepal), MPG1:10-I. RNA was eluted from the beads twice in MPG 1:10-I with 5% beta-mercaptoethanol for 5 min at room temperature. Combined elutions were PCA and chloroform extracted before ethanol precipitation. Total precipitated sample was then processed for RT-qPCR.
eCLIP
The eCLIP assays were performed by Eclipse Bioinnovations following the protocol detailed in van Nostrand et al.52. For these assays, the anti-PNUTS antibody A300–439A-T (Bethyl Laboratories) was used, and two independent biological replicates were performed. An IgG control antibody was tested in parallel, but the yield from this was low, so all subsequent comparisons were done relative to the size-matched input control. Sequences were processed and mapped using the pipeline described in van Nostrand et al. except the reads were simultaneously mapped to GRCh37/hg19, and the KSHV genome GQ994935.1. Metagene analyses were anchored to the 41 unique KSHV RNA transcription end sites found in Supplementary Table 332,33. Metagenes were made using aligned bam files obtained from Eclipse Bioinnovations. Data analyses was performed with the deeptools suite85. Default options with bamCompare was used to create bigwig files from sample versus control bamfiles. Then, computeMatrix was used to calculate metagene signal across regions of interest. Finally, plotProfile was used with default options to produce metagene profile plots. The eCLIP data are posted under GEO accession number GSE201045.
Analysis and statistics
RNA-Sequencing, eCLIP, and ChIP-Seq profiles were visualized with the Integrative Genomics Viewer (IGV v2.9.2). Heatmaps, bar graphs, line graphs, and box/violin plots were all made using GraphPad Prism (v9) software. Bar graphs represent a minimum of three biological replicates with mean value displayed and error bars denoting standard deviations. Asterisks denote p-values calculated in GraphPad Prism using unpaired two-tailed t-tests: *P < 0.05, **P ≤ 0.01, ***P ≤ 0.001, n.s., not significant.
Reporting summary
Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.
Data availability
Data generated in support of this study are provided in data figures and supplemental files. CRISPR screen sequencing datasets, eCLIP, RNA-Seq, and ChIP-Seq datasets are available in the GEO super-series GSE201046. Reference genomes used are publicly available at NCBI with the following accession numbers: hg19, GRCh38, KSHV GQ994935.1. Source data are provided with this paper.
References
Kaplan, L. D. Human herpesvirus-8: Kaposi sarcoma, multicentric Castleman disease, and primary effusion lymphoma. Hematol. Am. Soc. Hematol. Educ. Program 2013, 103–108 (2013).
Aneja, K. K. & Yuan, Y. Reactivation and lytic replication of Kaposi’s sarcoma-associated herpesvirus: an update. Front. Microbiol. 8, 613 (2017).
West, J. T. & Wood, C. The role of Kaposi’s sarcoma-associated herpesvirus/human herpesvirus-8 regulator of transcription activation (RTA) in control of gene expression. Oncogene 22, 5150–5163 (2003).
Verma, D., Li, D. J., Krueger, B., Renne, R. & Swaminathan, S. Identification of the physiological gene targets of the essential lytic replicative Kaposi’s sarcoma-associated herpesvirus ORF57 protein. J. Virol. 89, 1688–1702 (2015).
Ruiz, J. C., Hunter, O. V. & Conrad, N. K. Kaposi’s sarcoma-associated herpesvirus ORF57 protein protects viral transcripts from specific nuclear RNA decay pathways by preventing hMTR4 recruitment. PLoS Pathog. 15, e1007596 (2019).
Kirshner, J. R., Lukac, D. M., Chang, J. & Ganem, D. Kaposi’s sarcoma-associated herpesvirus open reading frame 57 encodes a posttranscriptional regulator with multiple distinct activities. J. Virol. 74, 3586–3597 (2000).
Sahin, B. B., Patel, D. & Conrad, N. K. Kaposi’s sarcoma-associated herpesvirus ORF57 protein binds and protects a nuclear noncoding RNA from cellular RNA decay pathways. PLoS Pathog. 6, e1000799 (2010).
Nekorchuk, M., Han, Z., Hsieh, T. T. & Swaminathan, S. Kaposi’s sarcoma-associated herpesvirus ORF57 protein enhances mRNA accumulation independently of effects on nuclear RNA export. J. Virol. 81, 9990–9998 (2007).
Massimelli, M. J. et al. Stability of a long noncoding viral RNA depends on a 9-nt core element at the RNA 5’ end to interact with viral ORF57 and cellular PABPC1. Int. J. Biol. Sci. 7, 1145–1160 (2011).
Adelman, K. & Lis, J. T. Promoter-proximal pausing of RNA polymerase II: emerging roles in metazoans. Nat. Rev. Genet. 13, 720–731 (2012).
Bacon, C. W. & D’Orso, I. CDK9: a signaling hub for transcriptional control. Transcription 10, 57–75 (2019).
Decker, T. M. Mechanisms of transcription elongation factor DSIF (Spt4-Spt5). J. Mol. Biol. 433, 166657 (2021).
Muniz, L., Nicolas, E. & Trouche, D. RNA polymerase II speed: a key player in controlling and adapting transcriptome composition. EMBO J. 40, e105740 (2021).
Cortazar, M. A. et al. Control of RNA Pol II speed by PNUTS-PP1 and Spt5 dephosphorylation facilitates termination by a “Sitting Duck Torpedo” mechanism. Mol. Cell 76, 896–908.e894 (2019).
Eaton, J. D., Francis, L., Davidson, L. & West, S. A unified allosteric/torpedo mechanism for transcriptional termination on human protein-coding genes. Genes Dev. 34, 132–145 (2020).
Kecman, T. et al. Elongation/termination factor exchange mediated by PP1 phosphatase orchestrates transcription termination. Cell Rep. 25, 259–269 e255 (2018).
Parua, P. K. et al. A Cdk9-PP1 switch regulates the elongation-termination transition of RNA polymerase II. Nature 558, 460–464 (2018).
Schreieck, A. et al. RNA polymerase II termination involves C-terminal-domain tyrosine dephosphorylation by CPF subunit Glc7. Nat. Struct. Mol. Biol. 21, 175–179 (2014).
Allen, P. B., Kwon, Y. G., Nairn, A. C. & Greengard, P. Isolation and characterization of PNUTS, a putative protein phosphatase 1 nuclear targeting subunit. J. Biol. Chem. 273, 4089–4095 (1998).
Ciurciu, A. et al. PNUTS/PP1 regulates RNAPII-mediated gene expression and is necessary for developmental growth. PLoS Genet. 9, e1003885 (2013).
Cossa, G. et al. Localized inhibition of protein phosphatase 1 by NUAK1 promotes spliceosome activity and reveals a MYC-sensitive feedback control of transcription. Mol. Cell 77, 1322–1339 e1311 (2020).
Shi, Y. et al. Molecular architecture of the human pre-mRNA 3’ processing complex. Mol. Cell 33, 365–376 (2009).
Kim, Y. M. et al. PNUTS, a protein phosphatase 1 (PP1) nuclear targeting subunit. Characterization of its PP1- and RNA-binding domains and regulation by phosphorylation. J. Biol. Chem. 278, 13819–13828 (2003).
Castello, A. et al. Insights into RNA biology from an atlas of mammalian mRNA-binding proteins. Cell 149, 1393–1406 (2012).
Austenaa, L. M. et al. Transcription of mammalian cis-regulatory elements is restrained by actively enforced early termination. Mol. Cell 60, 460–474 (2015).
Toth, Z. et al. Negative elongation factor-mediated suppression of RNA polymerase II elongation of Kaposi’s sarcoma-associated herpesvirus lytic gene expression. J. Virol. 86, 9696–9707 (2012).
Krajewska, M. et al. CDK12 loss in cancer cells affects DNA damage response genes through premature cleavage and polyadenylation. Nat. Commun. 10, 1757 (2019).
Le Hir, H., Nott, A. & Moore, M. J. How introns influence and enhance eukaryotic gene expression. Trends Biochem. Sci. 28, 215–220 (2003).
Nott, A., Le Hir, H. & Moore, M. J. Splicing enhances translation in mammalian cells: an additional function of the exon junction complex. Genes Dev. 18, 210–222 (2004).
Nott, A., Meislin, S. H. & Moore, M. J. A quantitative analysis of intron effects on mammalian gene expression. RNA 9, 607–617 (2003).
Chathoth, K. T., Barrass, J. D., Webb, S. & Beggs, J. D. A splicing-dependent transcriptional checkpoint associated with prespliceosome formation. Mol. Cell 53, 779–790 (2014).
Arias, C. et al. KSHV 2.0: a comprehensive annotation of the Kaposi’s sarcoma-associated herpesvirus genome using next-generation sequencing reveals novel genomic and functional features. PLoS Pathog. 10, e1003847 (2014).
Majerciak, V. et al. A viral genome landscape of RNA polyadenylation from KSHV latent to lytic infection. PLoS Pathog. 9, e1003749 (2013).
Verma, D., Thompson, J. & Swaminathan, S. Spironolactone blocks Epstein-Barr virus production by inhibiting EBV SM protein function. Proc. Natl Acad. Sci. USA 113, 3609–3614 (2016).
Doench, J. G. et al. Optimized sgRNA design to maximize activity and minimize off-target effects of CRISPR-Cas9. Nat. Biotechnol. 34, 184–191 (2016).
Li, W. et al. MAGeCK enables robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens. Genome Biol. 15, 554 (2014).
Brulois, K. F. et al. Construction and manipulation of a new Kaposi’s sarcoma-associated herpesvirus bacterial artificial chromosome clone. J. Virol. 86, 9708–9720 (2012).
Myoung, J. & Ganem, D. Generation of a doxycycline-inducible KSHV producer cell line of endothelial origin: maintenance of tight latency with efficient reactivation upon induction. J. Virol. Methods 174, 12–21 (2011).
Strahan, R. C., McDowell-Sargent, M., Uppal, T., Purushothaman, P. & Verma, S. C. KSHV encoded ORF59 modulates histone arginine methylation of the viral genome to promote viral reactivation. PLoS Pathog. 13, e1006482 (2017).
Nakamura, H. et al. Global changes in Kaposi’s sarcoma-associated virus gene expression patterns following expression of a tetracycline-inducible Rta transactivator. J. Virol. 77, 4205–4220 (2003).
Andersen, P. R. et al. The human cap-binding complex is functionally connected to the nuclear RNA exosome. Nat. Struct. Mol. Biol. 20, 1367–1376 (2013).
Iasillo, C. et al. ARS2 is a general suppressor of pervasive transcription. Nucleic Acids Res. 45, 10229–10241 (2017).
Hallais, M. et al. CBC-ARS2 stimulates 3’-end maturation of multiple RNA families and favors cap-proximal processing. Nat. Struct. Mol. Biol. 20, 1358–1366 (2013).
Ruiz, J. C., Devlin, A. M., Kim, J. & Conrad, N. K. Kaposi’s sarcoma-associated herpesvirus fine-tunes the temporal expression of late genes by manipulating a host RNA quality control pathway. J. Virol. 94, e00287-20 (2020).
Dingar, D. et al. MYC dephosphorylation by the PP1/PNUTS phosphatase complex regulates chromatin binding and protein stability. Nat. Commun. 9, 3502 (2018).
Lee, J. H. & Skalnik, D. G. Wdr82 is a C-terminal domain-binding protein that recruits the Setd1A Histone H3-Lys4 methyltransferase complex to transcription start sites of transcribed human genes. Mol. Cell Biol. 28, 609–618 (2008).
Lee, J. H., You, J., Dobrota, E. & Skalnik, D. G. Identification and characterization of a novel human PP1 phosphatase complex. J. Biol. Chem. 285, 24466–24476 (2010).
Hoshii, T. et al. A non-catalytic function of SETD1A regulates cyclin K and the DNA damage response. Cell 172, 1007–1021.e1017 (2018).
Dubbury, S. J., Boutz, P. L. & Sharp, P. A. CDK12 regulates DNA repair genes by suppressing intronic polyadenylation. Nature 564, 141–145 (2018).
Adhya, S. & Gottesman, M. Promoter occlusion: transcription through a promoter may inhibit its activity. Cell 29, 939–944 (1982).
Glaunsinger, B. & Ganem, D. Lytic KSHV infection inhibits host gene expression by accelerating global mRNA turnover. Mol. Cell 13, 713–723 (2004).
Van Nostrand, E. L. et al. Robust transcriptome-wide discovery of RNA-binding protein binding sites with enhanced CLIP (eCLIP). Nat. Methods 13, 508–514 (2016).
Estell, C., Davidson, L., Steketee, P. C., Monier, A. & West, S. ZC3H4 restricts non-coding transcription in human cells. Elife 10, e67305 (2021).
Liu, D., Wang, Y. & Yuan, Y. Kaposi’s sarcoma-associated herpesvirus K8 is an RNA binding protein that regulates viral DNA replication in coordination with a noncoding RNA. J. Virol. 92, e02177-17 (2018).
Wang, Y., Tang, Q., Maul, G. G. & Yuan, Y. Kaposi’s sarcoma-associated herpesvirus ori-Lyt-dependent DNA replication: dual role of replication and transcription activator. J. Virol. 80, 12171–12186 (2006).
Zhao, Y. et al. The RNA quality control pathway nonsense-mediated mRNA decay targets cellular and viral RNAs to restrict KSHV. Nat. Commun. 11, 3345 (2020).
Balistreri, G. et al. The host nonsense-mediated mRNA decay pathway restricts Mammalian RNA virus replication. Cell Host Microbe 16, 403–411 (2014).
Davis, Z. H. et al. Global mapping of herpesvirus-host protein complexes reveals a transcription strategy for late genes. Mol. Cell 57, 349–360 (2015).
Wei, Y. et al. The MYC oncoprotein directly interacts with its chromatin cofactor PNUTS to recruit PP1 phosphatase. Nucleic Acids Res. 50, 3505–3522 (2022).
Landsverk, H. B. et al. WDR82/PNUTS-PP1 prevents transcription-replication conflicts by promoting RNA polymerase II degradation on chromatin. Cell Rep. 33, 108469 (2020).
Bourgeois, C. F., Kim, Y. K., Churcher, M. J., West, M. J. & Karn, J. Spt5 cooperates with human immunodeficiency virus type 1 Tat by preventing premature RNA release at terminator sequences. Mol. Cell Biol. 22, 1079–1093 (2002).
Kamieniarz-Gdula, K. & Proudfoot, N. J. Transcriptional control by premature termination: a forgotten mechanism. Trends Genet. 35, 553–564 (2019).
Kamieniarz-Gdula, K. et al. Selective roles of vertebrate PCF11 in premature and full-length transcript termination. Mol. Cell 74, 158–172 e159 (2019).
Venters, C. C., Oh, J. M., Di, C., So, B. R. & Dreyfuss, G. U1 snRNP telescripting: suppression of premature transcription termination in introns as a new layer of gene regulation. Cold Spring Harb. Perspect. Biol. 11, a032235 (2019).
Aoi, Y. et al. SPT5 stabilization of promoter-proximal RNA polymerase II. Mol. Cell 81, 4413–4424.e4415 (2021).
Yamada, T. et al. P-TEFb-mediated phosphorylation of hSpt5 C-terminal repeats is critical for processive transcription elongation. Mol. Cell 21, 227–237 (2006).
Lei, H., Zhai, B., Yin, S., Gygi, S. & Reed, R. Evidence that a consensus element found in naturally intronless mRNAs promotes mRNA export. Nucleic Acids Res. 41, 2517–2525 (2013).
Caizzi, L. et al. Efficient RNA polymerase II pause release requires U2 snRNP function. Mol. Cell 81, 1920–1934.e1929 (2021).
Manjunath, H. et al. Suppression of ribosomal pausing by eIF5A is necessary to maintain the fidelity of start codon selection. Cell Rep. 29, 3134–3146.e3136 (2019).
Sanjana, N. E., Shalem, O. & Zhang, F. Improved vectors and genome-wide libraries for CRISPR screening. Nat. Methods 11, 783–784 (2014).
Horton, R. M. PCR-mediated recombination and mutagenesis. SOEing together tailor-made genes. Mol. Biotechnol. 3, 93–99 (1995).
Institute, B. BROAD Institute PCR of sgRNAs for Illumina Sequencing Protocol BROAD Institute PCR of sgRNAs for Illumina Sequencing Protocol. https://portals.broadinstitute.org/gpp/public/dir/download?dirpath=protocols/production&filename=pDNA_library_amplification_Oct2021.pdf (2021).
Wiederschain, D. et al. Single-vector inducible lentiviral RNAi system for oncology target validation. Cell Cycle 8, 498–504 (2009).
Junqueira Alves, C. et al. Plexin-B2 orchestrates collective stem cell dynamics via actomyosin contractility, cytoskeletal tension, and adhesion. Nat. Commun. 12, 6019 (2021).
Church, G. M. & Gilbert, W. Genomic sequencing. Proc. Natl Acad. Sci. USA 81, 1991–1995 (1984).
Scarborough, A. M. et al. SAM homeostasis is regulated by CFIm-mediated splicing of MAT2A. Elife 10, e64930 (2021).
Li, W. et al. Quality control, modeling, and visualization of CRISPR screens with MAGeCK-VISPR. Genome Biol. 16, 281 (2015).
Martin, M. Cutadapt removes adapter sequences from high-throughput sequencing reads. EMBnet. J. 17, 3 (2011).
Pertea, M., Kim, D., Pertea, G. M., Leek, J. T. & Salzberg, S. L. Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown. Nat. Protoc. 11, 1650–1667 (2016).
Tarasov, A., Vilella, A. J., Cuppen, E., Nijman, I. J. & Prins, P. Sambamba: fast processing of NGS alignment formats. Bioinformatics 31, 2032–2034 (2015).
Liao, Y., Smyth, G. K. & Shi, W. featureCounts: an efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 30, 923–930 (2014).
Frankish, A. et al. GENCODE reference annotation for the human and mouse genomes. Nucleic Acids Res. 47, D766–D773 (2019).
Love, M. I., Huber, W. & Anders, S. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 15, 550 (2014).
Day, D. S. et al. Comprehensive analysis of promoter-proximal RNA polymerase II pausing across mammalian cell types. Genome Biol. 17, 120 (2016).
Ramirez, F. et al. deepTools2: a next generation web server for deep-sequencing data analysis. Nucleic Acids Res. 44, W160–W165 (2016).
Acknowledgements
The authors thank Drs. David Root, John Doench, Joan Steitz, Feng Zhang, Joshua Mendell, Didier Trono, Dmitri Wiederschain, and Roland Friedel for reagents. We thank members of the Conrad lab for helpful comments on the manuscript. This work was supported by National Institutes of Health National Institutes of Allergy and Infectious Disease grants R01AI114362 (to I.D.), R01AI123165 (to N.K.C.), and R01AI153175 (to N.K.C.).
Author information
Authors and Affiliations
Contributions
N.K.C. and A.M.D. conceived and designed the experiments, interpreted results, and wrote the manuscript. A.M.D. performed the experiments. A.S. performed all bioinformatic analyses of the ChIP-Sequencing datasets and wrote the respective methods information. J.C.R. contributed cloning and cell line construction. S.D.B. performed bioinformatic analyses of RNA-Sequencing and eCLIP datasets. A.G. performed bioinformatic analyses of CRISPR screen datasets. O.V.H. contributed cloning construction and assisted in the production of Fig. 4 data. A.M.S. assisted in the completion of the CRISPR screens. I.D. assisted in the conception and interpretation of the ChIP-Sequencing experiments. All authors provided critical review of the manuscript.
Corresponding author
Ethics declarations
Competing interests
The authors declare no competing interests.
Peer review
Peer review information
Nature Communications thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.
Additional information
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Source data
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Devlin, A.M., Shukla, A., Ruiz, J.C. et al. The PNUTS-PP1 complex acts as an intrinsic barrier to herpesvirus KSHV gene expression and replication. Nat Commun 13, 7447 (2022). https://doi.org/10.1038/s41467-022-35268-4
Received:
Accepted:
Published:
DOI: https://doi.org/10.1038/s41467-022-35268-4
- Springer Nature Limited