Abstract
Unlike most RNA and DNA viruses that broadly stimulate mRNA decay and interfere with host gene expression, human cytomegalovirus (HCMV) extensively remodels the host translatome without producing an mRNA decay enzyme. By performing a targeted loss‐of‐function screen in primary human fibroblasts, we here identify the host CCR4‐NOT deadenylase complex members CNOT1 and CNOT3 as unexpected pro‐viral host factors that selectively regulate HCMV reproduction. We find that the scaffold subunit CNOT1 is specifically required for late viral gene expression and genome‐wide host responses in CCR4‐NOT‐disrupted cells. By profiling poly(A)‐tail lengths of individual HCMV and host mRNAs using nanopore direct RNA sequencing, we reveal poly(A)‐tails of viral messages to be markedly longer than those of cellular mRNAs and significantly less sensitive to CCR4‐NOT disruption. Our data establish that mRNA deadenylation by host CCR4‐NOT is critical for productive HCMV replication and define a new mechanism whereby herpesvirus infection subverts cellular mRNA metabolism to remodel the gene expression landscape of the infected cell. Moreover, we expose an unanticipated host factor with potential to become a therapeutic anti‐HCMV target.
Keywords: CCR4‐NOT, deadenylation, HCMV, RNA decay, virus:host interaction
Subject Categories: Microbiology, Virology & Host Pathogen Interaction; RNA Biology
The multi‐subunit cellular deadenylase complex CCR4‐NOT controls poly(A)‐tail length, regulating mRNA decay and translation. HCMV requires CCR4‐NOT activity for productive infection, though its own mRNAs are less susceptible to CCR4‐NOT degradation.
Introduction
Successful reproduction of viruses in host cells depends on effective commandeering of cellular protein synthesis machinery and evading detection by, or resisting the action of, host antiviral immune responses. During lytic infection with the α‐herpesvirus herpes simplex 1 (HSV‐1), “shut‐off” of host protein synthesis occurs, accomplished by multiple mechanisms including the expression of a virally encoded endoribonuclease that accelerates mRNA decay (Kwong & Frenkel, 1987; Rutkowski et al, 2015; Hennig et al, 2021). This manipulation of infected cell mRNA decay dynamics not only facilitates the elimination of host mRNA competition for ribosome access, but ensures the disposal of mRNAs encoding antiviral products that may be induced and helps steer transitioning through the temporal cascade of gene expression crucial for completion of the herpesviral lifecycle (Pasieka et al, 2008). Furthermore, formation from complementary viral transcripts of double‐stranded (ds) RNA, a major trigger of antiviral cellular responses, and ribonucleoprotein granules that can potentiate dsRNA sensing in infected cells, are suppressed (Dauber et al, 2011, 2019; Burgess & Mohr, 2018). An effective strategy, a similar stimulation of RNA decay by viral proteins is observed in other virus families such as poxviruses, bunyaviruses, and coronaviruses, while host mRNA decay activities may also be annexed to achieve reproduction success (Burgess et al, 2022).
The β‐herpesvirus human cytomegalovirus (HCMV) provides a model to explore viral co‐option of host mRNA decay in the absence of virus‐encoded decay factors. A near ubiquitous human pathogen, HCMV is rarely symptomatic in immunocompetent individuals. A latent infection is established in myeloid progenitor cells and maintained for life following an initial infection, with reactivation and a switch to lytic reproduction occurring upon a variety of cellular cues. In the immunocompromised such reactivation can cause severe disease and lead to graft rejection in transplant recipients. Congenital infections can also result in serious neurological consequences to newborns, such as impaired cognitive development and hearing loss, and place HCMV as a leading infectious cause of birth defects (Boeckh & Geballe, 2011; Griffiths et al, 2015). However, there is presently no effective HCMV vaccine and therapeutic options are limited and incur significant drawbacks such as long‐term toxicity and poor bioavailability (Perera et al, 2021; Scarpini et al, 2021).
Infection with HCMV results, rather than shut‐off, in an overall stimulation of protein synthesis with viral proteins produced alongside those of the host cell (McKinney et al, 2014). To engineer this increase in protein synthetic capacity, multiple layers of translational control are manipulated and the abundance of many translation factors, including cytoplasmic poly(A)‐binding protein 1 (PABPC1), as well as ribosomal proteins is upregulated (Walsh et al, 2005; McKinney et al, 2012; Tirosh et al, 2015; Bianco & Mohr, 2019; Thompson et al, 2022). Host gene expression is nevertheless distinctly manipulated by HCMV, and significant changes in host protein abundances have been comprehensively characterized in lytically infected fibroblasts (Weekes et al, 2014). Changes to RNA abundance accounts for much of this manipulation of host gene expression, with translational regulation acting on specific sets of host genes (McKinney et al, 2014; Tirosh et al, 2015; Thompson et al, 2022).
Poly(A)‐tails are major determinants of mRNA stability and translation by providing a platform for the binding of PABPCs (Passmore & Coller, 2022). In mammalian cells, most protein coding mRNAs are bestowed a long poly(A)‐tail of around 250 nucleotides (nt) following transcriptional termination in the nucleus. This length is dictated by the cleavage and polyadenylation specificity factor complex (CPSF) and binding to the nascent poly(A) tail of successive molecules of nuclear PABP (PABPN1), which is structurally distinct from its cytoplasmic counterpart (Eckmann et al, 2011). As herpesviral transcripts are generated in the nucleus by RNA polymerase II, they are expected to be subject to the same polyadenylation process. Cellular deadenylase complexes PAN2/3 and CCR4‐NOT subsequently trim the tail in the cytoplasm and a bulk population of cellular mRNAs with tail lengths between 30 and 100 nt, equivalent to the footprints of 1–3 PABPC molecules, are commonly detected by global poly(A)‐tail sequencing approaches (Chang et al, 2014; Workman et al, 2019; Mattijssen et al, 2020). Regarded as the rate limiting step in mRNA turnover, full deadenylation ultimately commits mRNAs to exonucleolytic decay either 3′‐5′ by the RNA exosome or 5′‐3′ by Xrn1 subsequent to decapping by the Dcp1/2 complex (Passmore & Coller, 2022).
In this study, we leverage high‐content imaging to establish the importance of host deadenylation‐dependent mRNA turnover factors on HCMV replication and surprisingly identify the deadenylase complex CCR4‐NOT as an important regulator of HCMV. Depletion of CCR4‐NOT components led to a global reduction in viral RNA expression, viral DNA synthesis, and impaired viral protein production late in infection, and selectively impacted host responses. Remarkably, however, though our results demonstrate that CCR4‐NOT shortens poly(A)‐tail lengths in infected cells and this function is necessary for efficient lytic HCMV replication, we find this activity preferentially targets host mRNAs, revealing a hitherto undefined layer of viral subversion of host RNA regulation.
Results
Identification of CCR4‐NOT components as HCMV regulators in a mRNA decay mini‐screen
To determine whether HCMV replication relies on components of the cellular canonical mRNA turnover pathway, we curated a list of 20 genes to target with two distinct siRNAs each in a focused RNAi mini‐screen in primary normal human dermal fibroblasts (NHDFs; Fig 1A). The ability of each siRNA to deplete its target mRNA was validated by RT‐qPCR (Fig EV1A), and no substantial effects on cell viability were detected for any siRNA treatment (Fig EV1B). siRNA‐treated NHDFs in 96‐well plates were subsequently infected at low multiplicity with HCMV which was allowed to spread through the cell monolayer for 7 days, permitting at least one round of viral replication. To measure the impact on the virus spread, infected cells were identified by indirect immunofluorescence for immediate early (IE) proteins 1 and 2 and quantified using a high‐content imaging platform (Fig 1A). Compared to nonsilencing control siRNA treated cultures, only silencing of CCR4‐NOT complex components CNOT1 or CNOT3 resulted in a significant reduction in infected cell number upon transfection with both target‐specific siRNAs (Fig 1B). Depletion of CNOT1 led to an 85 and 72% reduction in infection with siRNAs #1 and #2, respectively, while CNOT3 targeting led to reductions of 92 and 80%. A significant inhibitory effect on viral spread was also observed upon transfection with CNOT2 siRNA #1, though siRNA #2 also led to a modest reduction (18%) that did not reach statistical significance.
The CCR4‐NOT complex is a large multisubunit complex (Fig 1C) that deadenylates the poly(A)‐tails of mRNAs in the cytoplasm. CNOT1 is the large scaffolding protein upon which the CCR4‐NOT complex is assembled and facilitates many interactions with RNA‐binding proteins (RBPs) that recruit CCR4‐NOT to mRNAs. The complex features two nucleases named Caf1 and CCR4 that differ in their ability to degrade free poly(A)‐tails and those bound by PABPCs (Yi et al, 2018). In humans, Caf1 is provided by either of two homologous proteins, CNOT7 or CNOT8, and CCR4 by either CNOT6 or CNOT6L. Combined knockdown of each nuclease, however, also did not impact viral replication (Fig EV1D). While our knockdowns were each effective (Fig EV1A), residual levels of nuclease enzymes may be sufficient to supply CCR4‐NOT with deadenylase activity. By contrast depletion of scaffold subunit CNOT1 is predicted to prevent complex assembly, likely explaining the differing impact on HCMV replication of targeting these different components of the same complex. To establish whether the decrease in spread observed within cell monolayers (Fig 1B) affected release of infectious virus, supernatants from RNAi‐treated cultures were subject to TCID50 (50% tissue culture infectious dose) assay. Compared to nonsilencing control siRNA‐treated cultures, depletion of CNOT1 or CNOT3 significantly reduced virus replication up to 2,000‐fold (Fig 1D) validating our screening approach. By contrast, knockdown of Xrn1 led to a far smaller reduction in viral titer of 3‐ to 7‐fold that did not reach statistical significance (Fig EV1C). Together, these results implicate the CCR4‐NOT deadenylase complex in the regulation of HCMV reproduction and spread.
CNOT1 and CNOT3 are required for viral RNA and protein accumulation late in infection
To decipher how CNOT1 and CNOT3 promote viral replication, we examined the abundance of viral proteins and transcripts in a synchronous high MOI (multiplicity of infection) infection. At 72 h post infection (HPI), late in the virus lifecycle, accumulation of representative proteins from each temporal gene class was impaired when CNOT1 or CNOT3 were targeted by either of two independent siRNAs (Fig 2A). Immediate‐early (IE) proteins (IE1/2), master transcriptional activators, were modestly reduced and early protein (UL44), required for viral DNA synthesis, was reduced to a greater extent (Fig 2A). The product of essential late‐expressed gene UL99, pp28, however, was scarcely detected in knockdown cells (Fig 2A). RT‐qPCR for the mRNAs encoding the same proteins revealed a significant reduction of at least 50% of each transcript in CNOT1 and CNOT3 knockdown cells compared with nonsilencing control siRNA transfected cells (Fig 2B).
Immunoblotting for CNOT1 and CNOT3 confirmed protein depletion by gene‐specific siRNAs and also hinted at increased levels of CNOT1 and CNOT3 proteins in HCMV‐infected cells (Fig 2A). A reduction in CNOT1 protein levels in CNOT3‐specific siRNA treated cells and reduced accumulation of CNOT3 in infected cells treated with CNOT1‐specific siRNAs was also noted, implying each knockdown in fact represents a reduction in the level of both proteins to differing degrees. This pattern was not observed at the mRNA level by RT‐qPCR (Fig EV2A), suggesting either a mode of translational control or protein stabilization coordinates this co‐regulation. Cooperative stability of protein complex components is a common mechanism to maintain appropriate subunit stoichiometry and coregulation of CNOT7 and CNOT8 has been reported (Hsu et al, 2022; Stoney et al, 2022).
A time course of infection demonstrated impaired accumulation of UL44 in CNOT1‐depleted cells compared to control cells from 48 HPI (Fig 2C). Again, the largest deficit observed was in levels of the late protein pp28 at 72 HPI and analysis of viral transcript levels confirmed impaired gene expression mostly limited to this late timepoint (Figs 2C and EV2B). By contrast, while only a modest reduction of IE1 and IE2 protein accumulation was observed at 72 HPI in CNOT1‐depleted cells (Fig 2C), none was observed at 6HPI, consistent with equivalent viral entry to knockdown cells. This was directly tested by immunofluorescence staining for IE1/2 expression at 6HPI, where no significant differences in IE1/2‐positivity were observed in CNOT1‐ or CNOT3‐depleted cells (Fig EV2C). For both UL44 and pp28, deficits in protein levels in CNOT1‐depleted cells appeared to exceed deficits in mRNA levels (Figs 2C and EV2B) suggestive of impaired viral translation. Very similar temporal effects on viral protein accumulation were observed over a time course of infection of CNOT3‐depleted cells (Fig EV2D).
A failure to fully activate pp28 expression raised the possibility that CNOT1 depletion may interfere with viral DNA synthesis, which is required for expression of late gene products such as pp28. Indeed, viral DNA levels were reduced by more than 80% by each CNOT1‐specific siRNA (Fig 2D) consistent with the notion that CCR4‐NOT function is required for viral DNA synthesis to be successfully completed.
Our previous work investigating the dependence of another large DNA virus, the prototypical poxvirus vaccinia (VACV), on a cellular mRNA decay enzyme, Xrn1, revealed hyper‐activation of cell intrinsic antiviral responses including the dsRNA‐activated protein kinase PKR upon Xrn1 depletion (Burgess & Mohr, 2015). However, accumulation of activated, phosphorylated PKR was not detected in CNOT1/3‐depleted HCMV‐infected samples; indeed, detection of phospho‐PKR was reduced compared to control siRNA‐transfected HCMV‐infected samples (Fig 2A). Likewise, a global upregulation of antiviral interferon (IFN)‐stimulated genes (ISGs) was previously found to explain impaired HCMV replication following disruption of the m6A RNA modification pathway (Rubio et al, 2018), but this was not detected in CNOT1/3‐depleted cells when representative ISG‐encoded proteins (ISG15, MDA5, and PKR) were examined (Fig 2A). Together, this data indicates that CNOT1 and CNOT3 are required for HCMV gene expression and DNA replication and suggest a more nuanced mechanism than those by which other cellular RNA metabolism enzymes regulate DNA virus infections.
CCR4‐NOT selectively regulates HCMV infection
We next asked whether regulation of infection by CCR4‐NOT complex components was restricted to HCMV or extended to other DNA viruses. CNOT1 or CNOT3 depletion did not measurably impact the accumulation of VACV proteins, detected using a pan‐VACV antibody, or the accumulation of IE, early and late HSV‐1 proteins ICP4, US3, or gC following a low multiplicity infection (Fig 3A). By contrast, infection with clinical HCMV strain TB40/E was acutely sensitive to CNOT1 and CNOT3 depletion, displaying reduced accumulation of proteins representing each viral temporal gene class in knockdown cells (Fig 3B). Correspondingly, the effect of CNOT1 depletion on viral protein accumulation followed identical kinetics in TB40/E (Fig EV2E) compared to AD169 (Fig 2C) HCMV infection and released viral titers following a low MOI TB40/E infection were reduced by more than 104‐fold (Fig EV2F). Together, these data indicate that the dependence of virus gene expression and replication upon CCR4‐NOT components is not universally shared among DNA or herpes viruses, and the complex is important for lytic infections of both laboratory and clinical strains of HCMV.
Selective regulation of CCR4‐NOT complex components upon HCMV infection
Genes associated with RNA processing and translation are among those differentially expressed during HCMV infection of fibroblasts and several upregulated host RBPs have been shown to be required for efficient replication (Perez et al, 2011; McKinney et al, 2012; Tirosh et al, 2015; Batra et al, 2016; Song et al, 2019). Further, our knockdown experiments hinted at HCMV‐induced upregulation of CNOT1 and CNOT3 (Fig 2A). To establish whether CCR4‐NOT complex components are altered in their abundance during HCMV infection, we monitored expression of nucleases CNOT6, 6L, 7, and 8 and nonenzymatic modules CNOT1, 2 3, by immunoblot where reliable antibodies could be sourced and RT‐qPCR where not (Fig 4A and B). CNOT1 and CNOT3 proteins dramatically increased during infections with both virus strains beginning at 24 HPI (Fig 4A). By contrast, levels of CNOT2 protein only moderately increased. Interestingly, mRNA levels for CNOT1, 2, and 3 increased by a maximum of twofold compared to uninfected cells during infections (Fig 4B), suggestive of a translational modality to CNOT1 and CNOT3 protein upregulation, a feature previously reported for the regulation of CNOT3 expression in response to diet (Morita et al, 2011). Caf1 nuclease CNOT7 protein increased in abundance during infections with AD169 or TB40/E strains of HCMV (Fig 4A) and expression of mRNAs encoding CCR4 nucleases CNOT6 and CNOT6L were also consistently upregulated 2–3‐fold (Fig 4B). Differences in the timing of upregulation of CNOTs between strains may reflect viral gene expression differences, indeed AD169 lacks entire genomic loci (Wilkinson et al, 2015). Greater abundance of scaffold protein CNOT1 and nucleases are likely to increase the functional availability of the entire complex during infection. Incorporation of CNOT3 into the complex can influence nuclease activity (Raisch et al, 2019), and an orthologous component in yeast (Not5) interacts with ribosomes to link translational inefficiency with deadenylation (Buschauer et al, 2020). Thus, changes in the abundance of this non‐nuclease component may have additional complex effects on mRNA targeting or the deadenylation activity of CCR4‐NOT during infection.
CCR4‐NOT broadly regulates viral gene expression and influences host responses
To further understand the mechanism whereby CNOT1 and CNOT3 regulate HCMV productive replication, we performed short‐read RNA sequencing (RNA‐Seq) of control and CNOT1 and CNOT3‐depleted cells at 72 HPI, the timepoint at which we established the most prominent effects on viral gene expression occur (Figs 2C and EV2B). Comparison of significantly (adjusted P value [Padj] < 0.05) host differentially expressed genes (DEGs) following CNOT1 (n = 2,463) or CNOT3 (n = 1,481) depletion demonstrated significant overlap (Fig 5A) and highly correlated gene expression changes among the intersecting gene set, R 2 = 0.847 (Pearson; Fig 5B, Dataset EV1). Nonoverlapping DEGs could represent those that failed to meet the significance threshold in either knockdown condition or indicate CNOT1/3‐specific regulation. Surprisingly given the targeting of mRNA decay machinery, a similar proportion of positive and negative gene expression changes were represented within this set, indicating indirect effects of dysregulated host or viral genes may also influence host gene expression in CNOT1/3 knockdown cells.
Consistent with our RT‐qPCR data, the proportion of reads aligning to the viral genome were significantly reduced in CNOT1‐ and CNOT3‐depleted samples relative to samples treated with the nonsilencing control (Fig 5C). The reduction in viral reads upon CNOT1 or CNOT3‐depletion extended to many genomic regions, inclusive of the UL82/UL83 transcriptional unit which encodes tegument proteins pp71 and pp65, important for viral gene expression and innate immune evasion (Fig 5D). Directly comparing the distribution of viral reads (50,000, randomly sampled) across the viral genome, we observe very few regions with markedly (> 2‐fold) different coverage in CNOT1‐ or CNOT3‐depleted cells relative to control siRNA transfected cells (Fig EV3). These data indicate that targeting of either CNOT1 or CNOT3 components of the CCR4‐NOT complex limits HCMV replication by a common molecular mechanism that results in a broad downregulation of viral gene expression.
Analysis of cellular pathways associated with the set of genes differentially expressed by either CNOT1 or CNOT3 depletion (n = 3,108) using Reactome (Jassal et al, 2020) showed downregulation of genes associated with type I (alpha/beta) IFN signaling (Fig 5E), consistent with the immunoblotting of representative ISG‐encoded proteins (Fig 2A), each of whose expression was downregulated at the transcript level. Furthermore, genes associated with IFN gamma signaling were also downregulated, excluding suppression of either of these paracrine antiviral pathways as an explanation for HCMV's requirement for CNOT1/3. The major histocompatibility complex (MHC) class I antigen processing and presentation pathway was also represented among downregulated genes. Upregulated pathways were also enriched for cytokines, comprising select proinflammatory interleukin pathways IL‐12 (FDR = 3.84e−08), IL‐4, and IL‐13 (FDR = 1.51e−05) as well as anti‐inflammatory mediator IL‐10 (FDR = 1.08e−06) (Fig 5E) though the cytokines themselves were not represented within the lists of genes that contributed to these pathways (Table EV1). As IL‐12 and IL‐4 are generally associated with immune cell modulatory functions (Vignali & Kuchroo, 2012; Keegan et al, 2021), their ability to affect HCMV productive replication in fibroblasts was evaluated. Pretreatment of NHDFs with up to 200 ng/ml IL‐4 or IL‐12 did not significantly affect virus spread, in contrast to the marked (65%) reduction in virus‐infected cells observed following treatment with human IFN‐beta (Fig EV4A). Though this data indicates these pathways are not important in this context, their dysregulation and regulation of MHC could, however, contribute to CCR4‐NOT regulation of HCMV in a natural human infection.
We next looked more closely at the individual genes that were strongly (> 2 fold) and significantly (Padj < 0.05) up‐ (25 genes) or down‐ (7 genes) regulated in both CNOT1‐ or CNOT3‐depleted cells relative to control siRNA‐treated cells (Table EV2) and validated the changes in several by RT‐qPCR (Fig EV4B). All 15 upregulated genes tested were upregulated in uninfected CNOT1‐knockdown cells in addition to HCMV‐infected CNOT1‐knockdown cells, indicating their dysregulation was not dependent on changes to viral gene expression. To test whether the upregulation of these genes can be explained by mRNA stabilization, we monitored the decay of select transcripts during transcriptional inhibition by actinomycin D (Fig 5F). INHBE, NNMT, GDF15, and ANXA1 each displayed reduced decay in both CNOT1 and CNOT3‐knockdown cells compared to control cells, indicating that altered CCR4‐NOT‐mediated deadenylation directly contributes to host gene dysregulation in knockdown cells.
We cross‐referenced the strongly and significantly dysregulated gene set with the results of a recent pooled CRISPR‐interference genome‐wide screen of host factors for HCMV, which infers pro‐ or antiviral function of host genes by the positive or negative survival ratio, respectively, of cells in which they are disrupted after infection (Hein & Weissman, 2022; Table EV2). Among the genes upregulated were four with potentially anti‐HCMV activity (log2 survival ratio ≤ −0.2)—serine protease 8 (PRSS8), leucine‐rich repeat containing 15 (LRRC15), growth differentiation factor 15 (GDF15), and annexin A1 (ANXA1). Chemokines CCL7, CXCL3, and CXCL6 and inflammatory cytokines IL‐1B and IL‐6 that were also upregulated in CNOT1/3 knockdown infected cells (Tables EV2 and EV4B) were not, however, implicated as antiviral in Hein and Weissman's screen (Hein & Weissman, 2022). This is perhaps explained by HCMV's manipulation of the activities of IL‐1B and IL‐6 and the absence of immune cells regulated by these chemokines in their experiment design (Geist & Dai, 1996; Yang et al, 2002; Reitsma et al, 2013; Harwardt et al, 2016), conditions analogous to ours. We tested the ability of dysregulated host genes with the highest antiviral potential (LRRC15, ANXA1) and secreted protein acidic and rich in cysteine (SPARC), another upregulated gene with lower predicted antiviral activity, to regulate HCMV replication using RNAi. Each gene was effectively targeted by its respective siRNA (Fig EV4C), but differences in infectious virus production under these conditions were not detected following any individual knockdown (Fig 5G), suggesting that the contribution of host factor dysregulation to the CNOT1/3 phenotype is likely to be multigenic.
Overall, we find evidence of a dysregulated host response in CNOT1 and CNOT3‐depleted HCMV‐infected cells, which is not limited to a broad stabilization of transcripts, and that collective dysregulation of many host genes likely contributes to impaired viral replication.
Chemical inhibition of CCR4‐NOT nuclease activity limits HCMV spread
In our focused RNAi screen, we did not detect large or consistent reductions in HCMV spread when the nuclease components of CCR4‐NOT were targeted, and co‐depletion also did not affect viral replication (Fig EV1D). As the stoichiometry of CCR4‐NOT nucleases to available CNOT1 scaffolds is unknown in mammalian cells, without full genetic deletions residual nuclease incorporation into CCR4‐NOT and activity may remain. To directly test whether targeting CCR4‐NOT deadenylation activity can impact HCMV replication, we used a purine‐2,6‐dione derived inhibitor that selectively blocks the activity of Caf1 (compound 8j, Jadhav et al, 2015), treating cells after the initial inoculation period and for the remaining duration of the 7 day multicycle infection. Quantification of infected cell number revealed significant reductions following treatment with Caf1 inhibitor (Caf1i), compared to DMSO control at 100 μM (68%) and 75 μM (33%) with limited effects on cell viability (Fig 6A and B). As in our initial screen, the observed changes in spread resulted in an amplified impact on released virus titer, with an 85‐fold reduction observed following 100 μM Caf1i treatment (Fig 6C). This demonstrates that a selective inhibitor of CCR4‐NOT nuclease activity can limit HCMV replication. We therefore conclude that the CCR4‐NOT complex regulates HCMV infection by its mRNA deadenylation function.
Viral mRNA poly(a)‐tails are differentially affected by CNOT1 disruption
As depletion of CNOT1 and CNOT3 limits efficient HCMV replication (Fig 1) and leads to consistent changes in host and viral gene expression with evidence for host mRNA stabilization (Fig 3), we next directly investigated whether knockdowns of these nonenzymatic components impact the deadenylase activity of the CCR4‐NOT complex. To measure poly(A)‐tail lengths of host and viral mRNAs, we applied direct RNA sequencing (DRS) using the Oxford Nanopore Minion platform. Analysis was performed using nanopolish and revealed a distribution of poly(A)‐tail lengths on host mRNAs in uninfected cells similar to that reported in other DRS studies (Workman et al, 2019), with a median length, indicated by a red dot, of 86 nt, and a mode of 56 nt (Fig 6D, Dataset EV2). While the modal length did not appreciably change during infection, the distribution shifted upward with the median tail length increasing to 105 nt at 24 HPI before gradually decreasing to near uninfected length (91 nt) by 72 HPI. By contrast, poly(A) tails on viral mRNAs bore a markedly different length distribution, with a median of 127 nt at 24 HPI which more closely reflected the modal length (136 nt) and decreased only slightly during infection (Fig 6D). Longer poly(A)‐tails on HCMV transcripts will permit binding of additional PABPC molecules, expected to promote the stability and translation of mRNAs, and is concordant with the upregulation of and dependence on PABPC1 in HCMV infection (Walsh et al, 2005; Perez et al, 2011; McKinney et al, 2012). Consistent with the prevailing model that transcripts are first issued with a ~ 250 nt poly(A)‐tail which is trimmed upon cytoplasmic export (Eckmann et al, 2011; Passmore & Coller, 2022), HCMV long noncoding RNA 4.9, which is retained in the nucleus and promotes viral DNA replication (Tai‐Schmiedel et al, 2020), bore a much longer tail than typical protein coding viral transcripts (mean length 226 nt vs. 119 nt of US22A at 24 HPI) (Fig 6E).
We tested the effect of siRNA targeting of CNOT1 on poly(A)‐tail lengths at 72 HPI, conducting two independent experiments and measuring the tail lengths of more than 100,000 transcripts in each condition per experiment. The effect of CNOT1 knockdown on host mRNA poly(A)‐tails was stark, resulting in an obvious upward shift in overall tail length distribution and an increase in median tail length to 119 nt, a net gain of 35 nt, confirming disruption of CCR4‐NOT deadenylase activity (Fig 6F). The modal length of cellular mRNA poly(A)‐tails increased remarkably upon CNOT1 knockdown to 131 nt from 55 nt (Fig 6F, Dataset EV2). By contrast the impact on viral mRNA poly(A) tails was much less marked, with an increase in median tail length to 138 nt representing a net gain of 16nts, and little change to their modal length. The differential response to CNOT1‐depletion was especially evident when the median tail length of every individual measured host and viral mRNA was plotted (Fig 6G).
DRS permits identification of the specific mRNAs whose poly(A)‐tails are most affected by infection and CNOT1 disruption, albeit within the constraints of read depth limitations and bias toward abundant transcripts imposed on both sample sets. The ability of the poly(A)‐tail to promote stability and translation is dependent on PABPC proteins which require a minimum of 12 adenosines to bind (Kühn & Wahle, 2004) and occupy a footprint of ~ 27nts (Baer & Kornberg, 1983). We thus compared host transcripts that gained 20 nt or more in poly(A)‐tail length and are consequently likely to experience a functional benefit, following infection (53%, 160/306 transcripts) with CNOT1 depletion (61%, 379/621 transcripts). This revealed a high proportion of overlap (91 transcripts; Fig EV5A), indicating that CNOT1‐responsive transcripts are among those whose poly(A) status is changed in infection, consistent with the possibility that altered CNOT1 targeting and/or activity occurs.
Of the genes strongly and significantly upregulated by CNOT1 and CNOT3 knockdown (Table EV2), only two, SPARC and ANXA1, were detected by DRS. These mRNAs gained 55 and 20 nt, respectively, in CNOT1 knockdown cells, consistent with the observed stabilization of ANXA1 mRNA (Fig 5F). When we compared the poly(A)‐tail length changes of all cellular transcripts measured by DRS and the expression changes detected by short‐read RNA sequencing in CNOT1‐depleted HCMV‐infected cells (Fig EV5B), we did not, however, identify an overall correlation. As only the most abundant mRNAs are identified by DRS, the large steady state pool of these transcripts likely obscures the impact of stability changes associated with poly(A)‐tail length alterations, which may be further obfuscated by transcription rate changes.
Together, these data show that deadenylase activity within the infected cell is measurably impacted by CNOT1 depletion, and though HCMV mRNAs are substrates of CCR4‐NOT they unexpectedly appear to be targeted for deadenylation to a much lesser degree than host mRNAs, indicating it is the action of CCR4‐NOT upon host mRNAs that is required by the virus. Moreover, the substantial and global extension of host poly(A)‐tails in CNOT1‐depleted cells may obviate the translational advantage viral mRNAs with long poly(A)‐tails usually enjoy and contribute to impaired viral gene expression (Fig 7).
Discussion
In this study, we identify a novel host function on which HCMV infection is dependent—CCR4‐NOT‐dependent mRNA deadenylation. Depleting scaffolding components of the CCR4‐NOT complex selectively reduced accumulation of HCMV RNA and proteins late in infection and impaired viral DNA synthesis, (Fig 2) but did not detectably impair replication of HSV‐1, a related herpesvirus subfamily member, or VACV (Fig 3A). Paradoxically, however, HCMV poly(A)‐tails are relatively insensitive to CCR4‐NOT, as their lengths are little changed by CCR4‐NOT disruption (Fig 6F). The ability of a chemical inhibitor of a CCR4‐NOT nuclease to also impact viral replication indicates it is nonetheless the deadenylase function of the complex that is needed for HCMV productive growth (Fig 6A and C).
The selective requirement of HCMV for CCR4‐NOT complex subunit CNOT1 (Fig 1B) likely reflects a better impairment of complex function by targeting the complex scaffold than functionally redundant nuclease paralogs. Though CNOT3 interaction with the complex is not necessary for stable nuclease incorporation (Boland et al, 2013), we noted a reduction in CNOT1 protein levels when CNOT3 was depleted (Fig 2A). This is in agreement with a previous study, which also found that knockdown of CNOT1 and CNOT3 extended the half‐life of a reporter mRNA to a similar degree (Boland et al, 2013). In a recent pooled CRISPR‐interference genome‐wide screen of host factors for HCMV, CNOT1 and CNOT3 were also the only CCR4‐NOT components that led to a strong enrichment of their respective targeting cassettes in the surviving cell pool indicative of viral dependence (Hein & Weissman, 2022), further supporting our results that these are the complex members specifically required by HCMV.
During infection of CNOT1‐depleted cells, we detected impaired progression though the viral lifecycle, extension of host mRNA poly(A)‐tails, and changes to the expression of host factors previously implicated in the regulation of HCMV infection (Fig 7). We tested the ability of single dysregulated host genes, prioritized by the magnitude of their differential expression and their prior characterization as anti‐HCMV in a genome‐wide screen (Hein & Weissman, 2022), to impact HCMV replication. This failed to identify an individual host gene responsible for the CNOT1/3 phenotype, perhaps highlighting a limitation to the predictive value of such screens or indicating that the contribution of altered host gene expression is through a collective dysregulation of multiple host factors, which could prove intractable to fully discern. Global changes to the poly(A)‐RNA and RBP landscape in CCR4‐NOT‐disrupted cells also likely hamper the ability of HCMV to effectively commandeer the host cell translation apparatus. We found that in normal infection conditions HCMV mRNAs enjoy a significant tail‐length advantage over host mRNAs providing a larger platform for binding of PABPC proteins, predicted to promote mRNA stability and translation. Indeed, ribosome profiling analysis has shown HCMV transcripts are more efficiently translated than host transcripts late in infection (Tirosh et al, 2015). By contrast, in CNOT1‐depleted cells, the poly(A)‐tails of host mRNAs are extended to a similar length to those of HCMV mRNAs, eliminating this tail‐length advantage. Concordantly, we observe a greater impact on viral protein accumulation relative to their mRNA abundances in CNOT1‐depleted cells consistent with impaired viral translation. A failure to compete for ribosome access may therefore explain an impaired accumulation of viral factors necessary to proceed through the HCMV lifecycle (Fig 7)—a hypothesis to be interrogated in future work.
How HCMV mRNA poly(A)‐tails are so much longer than those of host mRNAs and resist CCR4‐NOT deadenylation is yet to be fully explained. HCMV tails tend not to exceed the typical initial tail length specified by PABPN1 and CPSF interactions (~ 250 nt; Eckmann et al, 2011). As this machinery is also used by cellular transcripts whose tails are not dramatically affected by infection, it seems unlikely that viral mRNAs are issued with longer tails at “birth”. Two mechanisms have been reported that promote HCMV poly(A)‐tail length in the cytoplasm, though each acts in an mRNA‐specific manner dictated by discrete RNA sequence motifs (Batra et al, 2016; Kim et al, 2020). Incorporation of non‐A nucleotides into poly(A) tails by the TENT4–ZCCHC14 complex impairs deadenylation by CCR4‐NOT and such non‐As were identified in approximately 16% of viral RNAs, compared to around 11% of host mRNAs (Lim et al, 2018; Kim et al, 2020). Collectively HCMV poly(A)‐tails were also shown to be sensitive to levels of CPEB1, a cytoplasmic RNA‐BP upregulated in infection which recruits cytoplasmic poly(A)‐polymerases to extend poly(A)‐tails (Batra et al, 2016). CPEB1 was also found to bind select viral mRNAs (Batra et al, 2016); however, as the poly(A)‐tails of many mammalian mRNAs are CPEB1‐responsive (Shin et al, 2022), it is unclear how its activity could be broadly preferentially targeted to viral mRNAs to fully explain their outsized tails and CCR4‐NOT resistance.
An open possibility is differential activity of the CCR4‐NOT deadenylation complex toward HCMV mRNAs during infection. We detected alterations to the abundance of select CNOT proteins during infection (Fig 4A), which may alter complex function. HCMV protein UL38 is responsible for the translational upregulation of many cellular proteins during infection through activation of mTORC1 (McKinney et al, 2014), and it will be interesting to explore if this mechanism also controls CCR4‐NOT. A recent HCMV protein interactome screen also found that the late protein UL72 interacts with the CCR4‐NOT complex (Nobre et al, 2019) providing an opportunity for viral manipulation of its function. Conservation of the interaction in murine cytomegalovirus infers its importance (Gopal et al, 2018). Though viral subversion of poly(A)‐tail homeostasis in general is underinvestigated, CCR4‐NOT has been shown to be co‐opted and relocalized by a plant negative‐strand RNA virus to degrade specific viral RNAs and facilitate genome replication (Zhang et al, 2020). Adenovirus infection also results in degradation of select CCR4‐NOT components favoring replication (Chalabi Hagkarim et al, 2018).
Our study adds another layer of understanding to HCMV's complicated relationship with mRNA poly(A)‐tail control and viral commandeering of the translation apparatus in the infected cell, introducing a new key player—CCR4‐NOT. While its importance is clear, further work is required to understand how CCR4‐NOT's roles qualitatively regulating the host cell environment/response and enforcing a favorable translation landscape contribute to HCMV regulation. Future work must also address how poly(A)‐tails of HCMV mRNAs resist CCR4‐NOT and maintain their long lengths and demonstrate whether they do indeed confer greater stability and translational efficiency. Combining new approaches and sequencing technologies to assess both stability and poly(A)‐tail length in concert would elegantly address these possibilities. The extensive interactions between HCMV and its host cell RNA turnover and translation pathways continue to reveal novel facets of cellular control networks, as well as vulnerabilities in the viral lifecycle ripe for therapeutic exploitation.
Materials and Methods
Reagents and Tools table
Reagent/Resource | Reference or source | Identifier or catalog number |
---|---|---|
Experimental models | ||
Normal Human Dermal Fibroblasts (NHDFs) | Lonza | CC‐2511 |
Antibodies | ||
IE1/2, mouse monoclonal | Millipore | Mab810R |
UL44, mouse monoclonal | Virus Sys | CA006 |
pp28, mouse monoclonal | Virus Sys | CA004‐100 |
PKR phospho (Thr446), rabbit monoclonal | Abcam | ab32036 |
PKR, rabbit polyclonal | Proteintech | 18244‐1 |
MDA5, rabbit polyclonal | Proteintech | 21775‐1‐AP |
ISG15, rabbit polyclonal | Proteintech | 15981‐1‐AP |
Mx1, rabbit polyclonal | Proteintech | 13750‐1‐AP |
CNOT1, rabbit polyclonal | Proteintech | 14276‐1‐AP |
CNOT2, rabbti polyclonal | Novus | NBP2‐56034 |
CNOT3, rabbit polyclonal | Proteintech | 11135‐1‐AP |
CNOT7, rabbit monclonal | Abcam | ab195587 |
VACV, rabbit polyclonal | Virostat | 8101 |
ICP4, mouse monoclonal | Abcam | ab6514 |
US3 | Gift of B. Roizman | |
gC, mouse monoclonal | Abcam | ab6509 |
GAPDH, rabbit monoclonal | Cell Signaling | 2118 |
Tubulin (beta), rabbit monoclonal | Cell Signaling | 2128 |
Anti‐mouse AlexaFluor 647 | Fisher Scientific | A32787 |
Anti‐mouse HRP | Fisher Scientific | 45‐000‐679 |
Anti‐rabbit HRP | Fisher Scientific | NA934 |
Oligonucleotides and sequence‐based reagents | ||
RT‐QPCR PRIMERS: | ||
GAPDH‐F | TCTTTTGCGTCGCCAGCCGA | |
GAPDH‐R | ACCAGGCGCCCAATACGACC | |
PARN‐F | CGCAACAATAGTTTTACAGC | |
PARN‐R | AGAAAGCTCCTTCTTCATTC | |
PAN2‐F | CTATCATCTCTCAGTCAGGG | |
PAN2‐R | TTCACATGAAAGATATCGGC | |
PAN3‐F | TACAGACACCAAATCCTACTG | |
PAN3‐R | GTGAGAGAAAACTTGAGAGAAG | |
CNOT1‐F | CAGAGATTTTCCCCAAGAAC | |
CNOT1‐R | GATCCTGTCCATTAGAATGTC | |
CNOT2‐F | AGGAAAGTAGCTAAGGAGTTC | |
CNOT2‐F | TTTTTAGAAGGCTTGCTGAG | |
CNOT3‐F | GATGAGATCTTCAACCAGTC | |
CNOT3‐R | ATCATCTTCAGAGTTTTCCG | |
CNOT6‐F | TTGTCAGGTACTGCAAAAAG | |
CNOT6‐R | CTTGTCCTATCTGGTTCTTG | |
CNOT6L‐F | CTATTTGGAGCAGGTATGAAG | |
CNOT6L‐R | CATCAGAATACTCTGGGTCC | |
CNOT7‐F | CTCTAACTTGCCTGAAGAAG | |
CNOT7‐R | TCCTGTAATCCACCTTTGAG | |
CNOT8‐F | AAGTTGCTTACAGATTCTCG | |
CNOT8‐R | TCCCTTAAGATTTTTGCAGC | |
DCP1A‐F | AAAGAATGATTCCAGCTTCC | |
DCP1A‐R | TTATTCTGCTCCAGTCATAGG | |
DCP2‐F | GAAAGAATCAAAGTATAGGGG | |
DCP2‐R | GAAGCCCATTTGTTCTTTTC | |
EDC3‐F | CAGGTTGAATCCCAAAAATG | |
EDC3‐R | GCTCATTGGTGATAGATTCC | |
EDC4‐F | CAACCATAAGAAACAAGACCC | |
EDC4‐R | CACCACATCTTTAACTCTCG | |
DDX6‐F | GTACTACGCATATGTAACTGAG | |
DDX6‐R | GATGTTCCTGCCTCATTTTAG | |
LSM1‐F | CCCTCCAGCAAGTATCCATT | |
LSM1‐R | TCGAGGAATGGAAAGACCTC | |
EXOSC9‐F | ACACTGTATCACCTGAAGAG | |
EXOSC9‐R | GAAAAAGGCAAAACTGACAC | |
TTC37‐F | GTTARRGTGAGGACAATCTCTG | |
TTC37‐R | AAAGTACTAGATCCTGAAGAGG | |
WDR61‐F | CAAGAAGGAAAACTCTGAGAC | |
WDR61‐R | GTCCCAAAGACGAATATGAG | |
SKIV2L2‐F | ACACTACATTTTTCCAGCAG | |
SKIV2L2‐R | GTCCTTTTGTTCCTCCTTTC | |
IE1‐F | CAAGTGACCGAGGATTGCAA | |
IE1‐R | CACCATGTCCACTCGAACCTT | |
UL44‐F | TTTTCTCACCGAGGAACCTTTC | |
UL44‐R | CCGCTGTTCCCGACGTAAT | |
UL99‐F | GTGTCCCATTCCCGACTCG | |
UL99‐R | TTCACAACGTCCACCCACC | |
IL1B‐F | CTAAACAGATGAAGTGCTCC | |
IL1B‐R | GGTCATTCTCCTGGAAGG | |
CXCL3‐F | CCTCAAGAACATCCAAGTG | |
CXCL3‐R | CCCCTTGTTCAGTATCTTTTC | |
ANXA1‐F | GGAACTGAAGAGAGATCTGG | |
ANXA1‐R | TCTTCATTCACACCAAAGTC | |
LRRC15‐F | CGTTGCTGTTCCAAGCGTCCAT | |
LRRC15‐R | GCTCAGTGGTAGAAGAGACGGA | |
SPARC‐F | AGTGAATACATTAACGGTGC | |
SPARC‐R | AATGTGTGTTTAAGGCAGAG | |
NNMT‐F | GTTTGGTTCTAGGCACTCTGCAG | |
NNMT‐R | AGAGCCGATGTCAATCAGCAGG | |
GDF15‐F | CGAAGACTCCAGATTCCG | |
GDF15‐R | ACTTCTGGCGTGAGTATC | |
NOV‐F | GGAACCGTCAATGTGAGATGCTG | |
NOV‐F | GGCTTTGAGTGACTTCTTGGTGC | |
TNFRSF11‐F | GGTCTCCTGCTAACTCAGAAAGG | |
TNFRSF11‐R | CAGCAAACCTGAAGAATGCCTCC | |
COL15A1‐F | GGTGACACTGGTTTACCTGGCT | |
COL15A1‐R | GCCTTTCCAGAGGAATGTCCTC | |
HMGA2‐F | GAAGCCACTGGAGAAAAACGGC | |
HMGA2‐R | GGCAGACTCTTGTGAGGATGTC | |
PTX3‐F | CGAAATAGACAATGGACTCCATCC | |
PTX3‐R | CTCATCTGCGAGTTCTCCAGCA | |
SERPINB4‐F | CATGTTGATAGGTCAGGAAATG | |
SERPINB4‐R | ATTGATACGTCTTTTCTCCG | |
siRNAs: | ||
control | Negative allstars cat #1027281 | Qiagen |
PARN #1 | GAAAAGAAGGAGCGAUAUA | Dharmacon |
PARN #2 | CAUGAGAGGGCUUGCCGUA | Dharmacon |
PAN2 #1 | GACCUUGUUUGCUGGAUUA | Dharmacon |
PAN2 #2 | UCAAGGGUCUUUAUGAGAA | Dharmacon |
PAN3 #1 | AAAACAAGGUUGCGAGUAA | Dharmacon |
PAN3 #2 | CGACUUACUUCUAUACAGA | Dharmacon |
CNOT1 #1 | CUAUAAAGAGGGAACGAGA | Dharmacon |
CNOT1 #2 | GGCCAAAUUGUCUCGAAUA | Dharmacon |
CNOT2 #1 | CAUGAAUGGAGGAGACGUA | Dharmacon |
CNOT2 #2 | GGCAAGUUUAUACGGGCAA | Dharmacon |
CNOT3 #1 | GCACUAAGGCACAGUAUCU | Dharmacon |
CNOT3 #2 | AGACAUGGGUAGCGUCCAA | Dharmacon |
CNOT6 #1 | GAAAGAACGUGGCUAUAAU | Dharmacon |
CNOT6 #2 | GAGCACAGGUGGAGUAGAA | Dharmacon |
CNOT6L #1 | UGACAGCGCUGCACCUAAA | Dharmacon |
CNOT6L #2 | CCAAUUACACCUUUGAUUU | Dharmacon |
CNOT7 #1 | CAGCUAGGACUGACAUUUA | Dharmacon |
CNOT7 #2 | GGAGAAUUCAGGAGCAAUG | Dharmacon |
CNOT8 #1 | UUUCGUAGUUCCAUAGAUU | Dharmacon |
CNOT8 #2 | GAGAAUAGCCAGGUUAUCU | Dharmacon |
DCP1A #1 | Hs_DCP1A_6 | Qiagen |
DCP1A #2 | Hs_DCP1A_7 | Qiagen |
DCP2 #1 | GCUUGAAGGCACAACGUAA | Dharmacon |
DCP2 #2 | GUAUGGAGGUCUUGAGAAU | Dharmacon |
EDC3 #1 | CCUGAUAACAAACGCCUUA | Dharmacon |
EDC3 #2 | GGAGAUUGAUACCUAUGAA | Dharmacon |
EDC4 #1 | GGAUGGAGAUCGGCAUAAU | Dharmacon |
EDC4 #2 | GGACCAUGCCACCCAUUAA | Dharmacon |
DDX6 #1 | AGUAUGACCACCACUAUUA | Dharmacon |
DDX6 #2 | GAAGGACAAUAUACAAGCA | Dharmacon |
LSM1 #1 | CGAGATGGAAGGACACTTATA | Qiagen |
LSM1 #2 | CAGCCTCATCGAGGACATTGA | Qiagen |
XRN1 #1 | AGAUGAACUUACCGUAGAAUU | Burgess & Mohr (2015) |
XRN1 #2 | CAGGTCGTAAATATCAAATAA | Qiagen/Burgess & Mohr, (2015) |
EXOSC9 #1 | GCCAAGAAUGCUCCCAUAAU | van Dijk et al (2007) |
EXOSC9 #2 | GCAGAAAUUACAGAGCUAA[dT][dT] | Sigma |
TTC37 #1 | CAGUGAGACUCGACAGUAA | Dharmacon |
TTC37 #2 | GUGUUAUGGUCGUGCAUUA | Dharmacon |
WDR61 #1 | AGGAACUCAUGUCGGGAAA | Dharmacon |
WDR61 #2 | CAAAGAGAAUGUACGGAUU | Dharmacon |
SKIV2L2 #1 | GCACAUACCUCAGCGGGAA | Dharmacon |
SKIV2L2 #2 | AGGGAAAAGCAGCGUGUAA | Dharmacon |
XRN2 #1 | AAGAGUACAGAUGAUCAUGUU | West et al (2004) |
XRN2 #2 | ACACUGUAGUCAGUAUUAAUU | Wagschal et al (2012) |
TNKS1BP1 #1 | GAUUCACUGGGUACCUACA[dT][dT] | Sigma |
TNKS1BP1 #2 | CACUUUGUGCCUCCUGGGA[dT][dT] | Sigma |
ANXA1 | GUGUUCAAUACCAUCCUUA[dT][dT] | Sigma |
LRRC15 | CUGACUACCAUUCAGGUCA[dT][dT] | Sigma |
SPARC | CUACAUCGGGCCUUGCAAA[dT][dT] | Sigma |
Chemicals, enzymes and other reagents | ||
Human IL‐4 | R&D Systems | 6507‐IL‐010/CF |
Human IL‐12 | R&D Systems | 10018‐IL‐010 |
Human IFN‐beta | R&D Systems | 8499‐IF‐010/CF |
actinomycin D | Fisher | AAJ60148LB0 |
qScript XLT | Quanta | 95132‐500 |
SsoAdvanced SYBR green supermix | Bio‐Rad | 1725274 |
Software | ||
SAMtools | Li et al (2009) | |
BEDtools | Quinlan (2014) | |
BBMAP | https://sourceforge.net/projects/bbmap/ | |
TrimGalore | https://www.bioinformatics.babraham.ac.uk/projects/trim_galore/ | |
Guppy v4.2.2 | ||
MiniMap2 | Li (2018) | |
Nanopolish v0.13.3 | https://github.com/jts/nanopolish | |
Other | ||
NextSeq 550 | Illumina | |
CellInsight CX7 LZR | Thermofisher | |
Dynabeads™ mRNA Purification Kit | Fisher | 61006 |
NEBNext® Ultra™ II RNA Library Prep Kit for Illumina | NEB | E7300S |
MinION MkIb | Oxford Nanopore Technologies Ltd |
Methods and Protocols
Cell infection and virus production
Normal human dermal fibroblasts (NHDFs) were obtained from Lonza, grown in DMEM supplemented with 5% FBS in the presence of penicillin and streptomycin, and routinely screened for mycoplasma contamination. HCMV AD169‐GFP was a gift of Dong Yu (Terhune et al, 2007), and propagation and titration have been described previously (McKinney et al, 2014). TB40/E‐GFP was a kind gift of Meaghan Hancock (Umashankar et al, 2011) and was similarly propagated. Briefly, virus stocks were concentrated by centrifugation at 20,000 rpm in an SW28 rotor for 75 min at 18°C and resuspended in 1.5% bovine serum albumin in DMEM. Titers of virus stocks were determined using a plaque assay. In experiments, released virus titers were determined by TCID50 assay, as previously described (McKinney et al, 2014). Vaccinia virus (Western Reserve strain) and HSV‐1 (F strain) were propagated and titrated as previously described (Burgess & Mohr, 2015, 2018).
Biosafety
HCMV experiments were conducted under biosafety level 2 conditions at NYU School of Medicine and University of Surrey according to the specific operating procedures approved by each institution.
Transfection and cell treatments
For gene knockdowns, cells were seeded to multiwell plates and transfected the next day using 3 μl/ml Lipofectamine RNAiMax (Life Technologies) at a final siRNA concentration of 20 nM and infected 3 days post‐transfection. siRNAs used are detailed in the reagent table. Knockdown efficiency was established by assaying target mRNA depletion by RT‐qPCR. Caf1 inhibitor (8j) (Jadhav et al, 2015) was reconstituted in DMSO as a 10 mM stock solution, stored at −20°C, and diluted in appropriate infection media prior to cell treatment and following virus inoculum removal, i.e., 1.5 HPI. Human IL‐4, IL‐12, and IFN‐beta (R&D Systems) were reconstituted in PBS and diluted in growth media at the indicated concentrations prior to cell treatment. For mRNA decay assays cells were treated with actinomycin D at 10 μg/ml for the indicated times prior to RNA isolation and RT‐PCR analysis as described below.
Immunoblotting
Antibodies used for immunoblotting are listed in the reagent table. Immunoblots were visualized using an iBright CL1000 system (Life Technologies).
RT‐qPCR analysis
Total RNA was isolated from infected cells using TRIzol. For each sample, 500 ng of RNA was subject to cDNA synthesis using qScript XLT (Quanta). Quantitative PCR (qPCR) reactions were conducted using Bio‐Rad SsoAdvanced SYBR green supermix and a Bio‐Rad CFX96 real‐time system. Primer sequences are detailed in the reagent table. For each biological replicate, technical duplicates were conducted. mRNA levels relative to GAPDH were calculated using the ΔΔC T method (Livak & Schmittgen, 2001), and statistical analyses were performed using GraphPad Prism.
CellInsight CX7 LZR high‐content screening platform
To monitor virus spread and cell titer in drug treatment and gene knockdown conditions NHDFs were seeded in black‐walled clear‐bottom 96‐well plates and knockdowns and infections conducted as above. Cells were fixed in 4% paraformaldehyde for 30 min and permeabilized in 0.5% triton X‐100 in PBS for 15 min before blocking in immunofluorescence blocking buffer (4% FBS in PBS) for 1 h. Infected cells were detected by incubation with anti‐IE1/2 antibody (1:250) overnight at 4°C followed by incubation with antimouse AlexaFluor 647 secondary (Invitrogen, A32787) and DAPI for 2 h at room temperature. Plates were imaged using a CellInsight CX7 LZR high‐content screening platform by collecting 9 images at 4× magnification to cover the entire well. HCS Navigator software was used to quantify cell number by DAPI staining and the percentage infected cells, indicated by AlexaFluor 647 positivity.
Illumina RNA sequencing and analysis
RNA‐Seq libraries were prepared from poly(A)‐selected RNA using the NEBNext® Ultra™ II RNA Library Prep Kit for Illumina (New England Biolabs) and sequenced using a NextSeq 550. Sequence reads (Dataset EV3) were trimmed using TrimGalore (https://www.bioinformatics.babraham.ac.uk/projects/trim_galore/; ‐‐paired ‐‐length 30 –quality 30) and aligned against a hybrid genome comprising HG38 and the HCMV TB40/BAC4 genome (EF999921.1) using BBMAP (ambiguous = random sam = 1.3 minid = 0.9 maxindel = 200 k intronlen = 20; https://sourceforge.net/projects/bbmap/). Post‐alignment processing was performed using SAMtools (Li et al, 2009) and BEDtools (Quinlan, 2014) to generate Bedgraph files.
Nanopore direct RNA sequencing
For each biological sample, between 750 and 850 ng of poly(A) RNA was isolated from up to 30 μg of total RNA using the Dynabeads™ mRNA Purification Kit (Invitrogen, 61006). Isolated poly(A) RNA was subsequently spiked with 0.5 μl of a synthetic Enolase 2 (ENO2) calibration RNA (Oxford Nanopore Technologies Ltd.), and dRNA‐Seq libraries prepared according to the SQK‐RNA002 protocol developed by Oxford Nanopore Technologies Ltd. (ONT). Sequencing was performed on a MinION MkIb using R9.4.1 (rev D) flow cells (ONT) for 24–48 h (one library per flowcell) and yielded up to 1,500,000 reads per dataset (Dataset EV4). Raw fast5 datasets were then basecalled using Guppy v4.2.2 (‐c rna_r9.4.1_70bps_hac.cfg ‐‐calib_detect ‐‐trim_strategy rna ‐‐reverse_sequence true) with only reads passing filter used for subsequent analyses. For the analysis of viral RNAs, sequence reads were aligned against the HCMV TB40/BAC4 genome (EF999921.1) using MiniMap2 (Li, 2018; ‐ax splice ‐k14 ‐uf ‐‐secondary = no), with subsequent parsing through SAMtools (Li et al, 2009) and BEDtools (Quinlan, 2014). For the analysis of human RNAs, MiniMap2 (‐ax map‐ont ‐L ‐p 0.99 ‐uf ‐‐secondary = no) was used to align the sequence reads against a Homo Sapiens transcriptome database comprising protein coding and long noncoding transcripts derived from Gencode 37. Subsequent filtering of alignments (SAMtools, BEDtools) retained only unique alignments with a mapping (Q) score ≥ 10. Poly(A) tail lengths were estimated for all dRNA‐Seq reads using Nanopolish v0.13.3 (https://github.com/jts/nanopolish) with default parameters. For the paired plots (Fig 6G), only human and viral RNAs supported by at least 50 DRS reads were used.
Data visualization
Bedgraph and Nanopolish output were processed using R and ggplot2 (Wickham, 2009). Schematics were created using BioRender.com
Author contributions
Hannah M Burgess: Conceptualization; data curation; formal analysis; supervision; funding acquisition; validation; investigation; visualization; methodology; writing – original draft; project administration; writing – review and editing. Rebecca Grande: Investigation. Sofia Riccio: Investigation. Ikshitaa Dinesh: Investigation. Gerlof Sebastiaan Winkler: Resources; writing – review and editing. Daniel P Depledge: Data curation; formal analysis; investigation; writing – review and editing. Ian Mohr: Resources; supervision; funding acquisition; writing – review and editing.
Disclosure and competing interests statement
The authors declare that they have no conflict of interest.
Supporting information
Acknowledgements
We thank Dr Angus Wilson and Dr David Levy for helpful discussions. This work was supported by NIH grants AI166638 and AI151436 (to HMB), GM056927, AI073898 (to IM), and AI152543 (to IM and DPD). RG was supported in part by T32 AI100853 and T32 AI007180. DPD is funded by the German Centre for Infection Research (DZIF TTU 07.708).
EMBO reports (2023) 24: e56327
Data availability
All sequencing datasets associated with this study are available as raw fastq files (Illumina) and raw fast5 files (Nanopore) via the European Nucleotide Archive under the accession PRJEB45677. Bedgraph and nanopolish poly(A) datasets used in our analyses are available at https://github.com/DepledgeLab/CCR4‐NOT‐regulates‐HCMV.
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