Literature DB >> 28069888

Human noncoding RNA 886 (nc886) adopts two structurally distinct conformers that are functionally opposing regulators of PKR.

Brenda M Calderon1,2, Graeme L Conn1.   

Abstract

The double-stranded RNA (dsRNA)-activated protein kinase (PKR) senses dsRNA produced during viral infection and halts cellular protein synthesis to block viral replication. How basal PKR activity is controlled in the absence of infection was unclear until the recent identification of a potential endogenous regulator, the cellular noncoding RNA 886 (nc886). However, nc886 adopts two distinct conformations for which the structural details and potential functional differences remain unclear. Here, we isolated and separately dissected the function of each form of nc886 to more clearly define the molecular mechanism of nc886-mediated PKR inhibition. We show that nc886 adopts two stable, noninterconverting RNA conformers that are functionally nonequivalent using complementary RNA structure probing and mutational analyses combined with PKR binding and activity assays. One conformer acts as a potent inhibitor, while the other is a pseudoinhibitor capable of weakly activating the kinase. We mapped the nc886 region necessary for high affinity binding and potent inhibition of PKR to an apical stem-loop structure present in only one conformer of the RNA. This structural feature is not only critical for inhibiting PKR autophosphorylation, but also the phosphorylation of its cellular substrate, the eukaryotic translation initiation factor 2α subunit. The identification of different activities of the nc886 conformers suggests a potential mechanism for producing a gradient of PKR regulation within the cell and reveals a way by which a cellular noncoding RNA can mask or present a structural feature to PKR for inhibition.
© 2017 Calderon and Conn; Published by Cold Spring Harbor Laboratory Press for the RNA Society.

Entities:  

Keywords:  RNA structure; eIF2α; kinase; noncoding RNA; translational control

Mesh:

Substances:

Year:  2017        PMID: 28069888      PMCID: PMC5340918          DOI: 10.1261/rna.060269.116

Source DB:  PubMed          Journal:  RNA        ISSN: 1355-8382            Impact factor:   4.942


INTRODUCTION

The innate immune response is an intrinsic cellular system that serves as the first defense against pathogens (Schoggins and Rice 2011; Iwasaki 2012). Pattern recognition receptors (PRRs) on the cell surface and in the cytosol detect pathogen-associated molecular patterns, such as viral proteins and nucleic acids, and initiate signaling cascades to prevent viral replication and to establish an antiviral state (Yoneyama and Fujita 2010; Dalet et al. 2015; Schlee and Hartmann 2016). One critical PRR is the double-stranded RNA (dsRNA)-activated protein kinase (PKR), which senses dsRNA in the cytoplasm and halts protein synthesis (García et al. 2006, 2007; Balachandran and Barber 2007; Dalet et al. 2015). Binding of viral dsRNA promotes PKR dimerization and autophosphorylation, activating the kinase to phosphorylate its substrate, the eukaryotic translation initiation factor 2α subunit (eIF2α) on serine 51. Phosphorylation increases eIF2 affinity for its guanine nucleotide exchange factor eIF2B and thus sequesters the protein complex, effectively halting recycling of eIF2 to a GTP-bound form (Sudhakar et al. 2000). As a result, general translation is attenuated, blocking viral replication while permitting enhanced translation of specific transcripts including stress response genes (Yamasaki and Anderson 2008). The central importance of PKR to innate immunity is highlighted by the diverse array of mechanisms viruses have evolved to subvert this pathway (Langland et al. 2006; McKenna et al. 2007; Domingo-Gil et al. 2011). Due to its ubiquitous expression and functional roles outside of innate immunity, PKR activity must be tightly regulated so that it can recognize viral RNA, but not be spuriously activated by cellular RNA. Studies on the proliferative role of PKR in cancer cells recently led to the discovery of a potential endogenous RNA regulator, the noncoding RNA 886 (nc886) (Fig. 1A; Lee et al. 2011). nc886 is a ubiquitously expressed, cytosolic noncoding RNA that was found to interact with PKR (Lee et al. 2011). Additionally, expression of nc886 is down-regulated or completely absent in many cancer cells along with associated increased levels of PKR phosphorylation (Treppendahl et al. 2011; Xiong et al. 2011; Kunkeaw et al. 2012; Cao et al. 2013; Lee et al. 2014a,b; Romanelli et al. 2014; Lee 2015). Silencing of nc886 leads to increased basal kinase activity, as demonstrated by PKR autophosphorylation of threonine 446 and phosphorylation of eIF2α in the absence of exogenous activating dsRNA (Lee et al. 2011; Kunkeaw et al. 2012). These observations clearly point to the existence of cellular RNAs with the ability to activate PKR in the absence of nc886. Furthermore, reintroduction of nc886 to cells lacking the transcript resulted in reduced levels of phosphorylated PKR and eIF2α, demonstrating that nc886 is necessary and sufficient to negatively regulate PKR activity (Kunkeaw et al. 2012).
FIGURE 1.

nc886 RNA forms two distinct, noninterconverting conformers that can be isolated and characterized separately. (A) The predicted secondary structure of nc886 derived using Mfold software (Zuker 2003), with the three regions of the RNA referred to in the main text indicated below. Inset, schematic of the construct used to produce the nc886-HDV ribozyme in vitro transcript. (B) Native PAGE analysis of the in vitro transcription reaction (IVT) and purified nc886 conformers stained with ethidium bromide.

nc886 RNA forms two distinct, noninterconverting conformers that can be isolated and characterized separately. (A) The predicted secondary structure of nc886 derived using Mfold software (Zuker 2003), with the three regions of the RNA referred to in the main text indicated below. Inset, schematic of the construct used to produce the nc886-HDV ribozyme in vitro transcript. (B) Native PAGE analysis of the in vitro transcription reaction (IVT) and purified nc886 conformers stained with ethidium bromide. Despite this significant advance in our understanding of endogenous regulation of PKR activity, many questions remain about the nature of nc886-mediated PKR inhibition. In particular, it remains unclear why nc886 behaves as an inhibitor rather than an activator of PKR activity and what specific RNA features confer its potency of inhibition. Notably, although nc886 was found to exist in two conformations, all analyses performed to date used a mixture of these two different forms. We therefore set out to isolate and separately dissect the functions of these two conformers to clearly define the molecular mechanisms of nc886-mediated PKR inhibition. Our results demonstrate that nc886 RNA does indeed exist in two structurally and functionally nonequivalent forms. One conformer, which exhibits slower migration on native polyacrylamide gels, has higher binding affinity for PKR and potently inhibits both PKR and downstream eIF2α phosphorylation. In contrast, the second conformer is a weak activator that behaves as a pseudoinhibitor of PKR in competition with other dsRNAs, and may serve as a more transient regulator of PKR activity. This work emphasizes the importance of RNA folding in regard to noncoding RNA function and highlights a potential mechanism for regulating the activity of nc886 RNA independent of its transcript level through the presentation or masking of a critical structural element.

RESULTS

nc886 RNA adopts two noninterconverting conformers with distinct stabilities

nc886 RNA (101 nucleotides) was in vitro transcribed using T7 RNA polymerase from a linearized plasmid DNA template producing nc886 fused at its 3′-end to a self-cleaving hepatitis delta virus (HDV) ribozyme (Fig. 1A). The in vitro transcription reaction was analyzed by native polyacrylamide gel electrophoresis (PAGE) revealing two nc886 RNA bands of differing mobility, as previously reported (Jeon et al. 2012), in addition to the cleaved HDV ribozyme (Fig. 1B). These distinct nc886 structural conformers are referred to as “Conformer 1” (slower migrating form) and “Conformer 2” (faster migrating form). Purification of nc886 by denaturing PAGE results in a mixture of both conformers (Jeon et al. 2012). We therefore used preparative native PAGE to isolate the individual nc886 RNA conformers and found through reanalysis of the purified conformers that both structures are stable and do not interconvert under nondenaturing conditions (Fig. 1B). We next analyzed the thermal stability of each isolated nc886 RNA conformer by UV melting analysis in the same 0.5× TBE buffer as used in native PAGE (Fig. 2A). The melting profile (first derivative of the raw UV melting curve) for nc886 Conformer 2 revealed that this RNA structure unfolds in a single apparent transition with a Tm of ∼40°C. In contrast, Conformer 1 exhibits much greater stability with a final major apparent unfolding transition with a Tm > 70°C. Unfolding of each nc886 conformer was also assessed in 20 mM HEPES buffer (pH 7.5) containing 100 mM NaCl yielding essentially identical melting profiles, but with apparent Tm values shifted to higher temperatures (data not shown and Table 1). Thus, a dramatic difference in stability between the two conformers of nc886 (ΔTm > 30°C) was observed under both the lower and higher ionic strength conditions. A mixture of the conformers, purified using standard denaturing PAGE, was also analyzed under both solution conditions and had a melting profile consistent with a combination of the profiles for the two individual conformers (Fig. 2A).
FIGURE 2.

nc886 conformer stability and refolding. (A) UV melting profiles of each isolated native PAGE purified nc886 RNA conformer, and of a mixture of the two produced by denaturing PAGE purification. Melting temperatures (Tm) for the major apparent unfolding transitions (marked with arrowheads) are listed in Table 1. (B) UV melting profiles for each conformer of nc886 after complete thermal denaturation (>90°C) and refolding. (C) Schematic illustrating the observed interconversion properties of each nc886 conformer. Under native conditions both conformers are stable and do not interconvert (lower boxes). Following denaturation (Heat) and refolding (Cool), Conformer 1 can re-adopt its original structure or refold as Conformer 2 (dashed double arrow), while in contrast Conformer 2 only refolds into its original form.

TABLE 1.

Apparent melting temperatures (Tm) for wild-type and variant nc886 unfolding

nc886 conformer stability and refolding. (A) UV melting profiles of each isolated native PAGE purified nc886 RNA conformer, and of a mixture of the two produced by denaturing PAGE purification. Melting temperatures (Tm) for the major apparent unfolding transitions (marked with arrowheads) are listed in Table 1. (B) UV melting profiles for each conformer of nc886 after complete thermal denaturation (>90°C) and refolding. (C) Schematic illustrating the observed interconversion properties of each nc886 conformer. Under native conditions both conformers are stable and do not interconvert (lower boxes). Following denaturation (Heat) and refolding (Cool), Conformer 1 can re-adopt its original structure or refold as Conformer 2 (dashed double arrow), while in contrast Conformer 2 only refolds into its original form. Apparent melting temperatures (Tm) for wild-type and variant nc886 unfolding Collectively, these observations demonstrate that the purified nc886 conformers retain their conformational identity under native conditions and adopt structures with very different stabilities. Interestingly, however, upon complete thermal denaturation (heating to >90°C) and refolding, a subsequent analysis reveals that Conformer 1 can either re-adopt its original structure or can refold as Conformer 2. In contrast, Conformer 2 exclusively re-adopts its original structure (Fig. 2B,C).

nc886 RNA conformers have opposing activities against PKR

To begin characterizing the activities of the nc886 conformers, we first tested the ability of each isolated RNA to bind to PKR using an electrophoretic mobility shift assay (EMSA). Each individual purified conformer (300 nM) was incubated with a range of PKR concentrations (0–3 μM) and free and bound RNA resolved by native PAGE (Fig. 3A). Both conformers bind to PKR, but with starkly different affinities: while nc886 Conformer 1 readily forms a PKR–RNA complex, with shifted RNA observed at the lowest protein concentration, nc886 Conformer 2 does so only at the highest concentrations of PKR.
FIGURE 3.

The individual nc886 conformers have distinct activities against PKR. (A) EMSA analysis of binding of each individual nc886 conformer to PKR. Native PAGE gels were stained with SYBR Green to identify free and PKR-bound RNA. (B) Native PAGE analysis of purified conformers extracted following incubation with or without PKR demonstrating that nc886 conformers do not undergo PKR binding-induced conformational interconversion. (C) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with each individual isolated nc886 conformer. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples. (D) Radiometric PKR autophosphorylation activation assay demonstrating the capacity of nc886 Conformer 2 to weakly activate PKR.

The individual nc886 conformers have distinct activities against PKR. (A) EMSA analysis of binding of each individual nc886 conformer to PKR. Native PAGE gels were stained with SYBR Green to identify free and PKR-bound RNA. (B) Native PAGE analysis of purified conformers extracted following incubation with or without PKR demonstrating that nc886 conformers do not undergo PKR binding-induced conformational interconversion. (C) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with each individual isolated nc886 conformer. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples. (D) Radiometric PKR autophosphorylation activation assay demonstrating the capacity of nc886 Conformer 2 to weakly activate PKR. Each isolated nc886 conformer appears to result in a PKRnc886 complex with similar native gel mobility (Fig. 3A). We therefore considered the possibility that PKR binding might induce a structural conversion in one or both of the nc886 conformers such that the final bound structure is the same regardless of the original nc886 conformation. Each nc886 conformer (1 μM) was treated in an equivalent manner as for the EMSA analysis, either in the absence or presence of a twofold excess of PKR, except that the RNA was subsequently phenol:chloroform extracted and ethanol precipitated prior to analysis by native PAGE. Following this process, the original mobility of each nc886 RNA conformer was fully retained (Fig. 3B), indicating that PKR binding does not induce a conformational interconversion in either nc886 conformer. We next tested the effect that these differences in PKR binding had on the ability of each nc886 conformer to inhibit PKR autophosphorylation in the presence of a dsRNA activator using an established slot-blot radiometric kinase assay (Sunita et al. 2015). PKR autophosphorylation was measured in the presence of a fixed concentration of poly(rI:rC) dsRNA and increasing amounts of each nc886 RNA conformer. Both conformers cause a dose-dependent decrease in PKR autophosphorylation, but to markedly different extents (Fig. 3C). nc886 Conformer 1 is a potent, dose-dependent inhibitor of PKR, capable of completely abolishing PKR autophosphorylation. In contrast, with Conformer 2 partial inhibition was only observed at the highest RNA concentration tested. Surprisingly, at the mid-range concentrations of nc886 RNA, where Conformer 1 fully inhibits PKR, Conformer 2 appears to modestly increase the extent of PKR autophosphorylation compared to poly(rI:rC) dsRNA alone. This prompted us to test whether nc886 Conformer 2 is capable of weakly activating PKR in the absence of dsRNA. Using an autophosphorylation assay in which PKR was incubated with increasing concentrations of nc886 Conformer 2 (0.001–10 μM) alone, a dose-dependent increase in PKR autophosphorylation was indeed observed (Fig. 3D). Further, the extent of autophosphorylation was comparable to the amount of additional activation we observed in the inhibition assay (Fig. 3C,D). These results demonstrate that rather than simply being a poorer PKR inhibitor, nc886 RNA Conformer 2 behaves as a pseudoinhibitor. This contributes to overall PKR activation at lower concentrations, but competes for PKR binding with the more potent poly(rI:rC) dsRNA activator at the highest concentration in the inhibition assay.

Differences in apical stem–loop structure distinguish the two nc886 RNA conformers

To understand the basis for the stark differences in activity between nc886 conformers, we used selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE) with N-methylisotoic anhydride (NMIA) to experimentally assess the secondary structure of each isolated RNA. A 5′-end 32P-labeled DNA oligonucleotide complementary to the 3′-end of nc886 RNA was used for reverse transcription (RT) following incubation of each individual nc886 conformer with or without NMIA, and the products resolved on denaturing polyacrylamide sequencing gels (Fig. 4).
FIGURE 4.

The apical stem–loop of nc886 distinguishes the two RNA conformers. (A) Example autoradiogram of sequencing gel analysis of nc886 Conformer 2 SHAPE probing. Lanes are: −, mock treated (no NMIA); +, NMIA treated; and, U/G/C/A, sequencing lanes containing the complementary dideoxy NTP. Brackets on the right of the gel image denote the loop regions (L1–L5) in the predicted nc886 RNA secondary structure. (B) Example autoradiogram of sequencing gel analysis of nc886 Conformer 1 SHAPE probing using either the 3′-end (left) or internal (right) primer. Lane labels are the same as Panel A. (C) Categorized average nucleotide SHAPE reactivity for each conformer mapped onto the predicted nc886 secondary structure. Also noted are the sequences complementary to the 3′-end and internal primers (thick black lines), nucleotides for which reactivity could not be determined (outline font), and the strong structure-induced RT stops (nucleotides 36–40) observed only for nc886 Conformer 1 (black shading and region marked by an asterisk in panels B and C).

The apical stem–loop of nc886 distinguishes the two RNA conformers. (A) Example autoradiogram of sequencing gel analysis of nc886 Conformer 2 SHAPE probing. Lanes are: −, mock treated (no NMIA); +, NMIA treated; and, U/G/C/A, sequencing lanes containing the complementary dideoxy NTP. Brackets on the right of the gel image denote the loop regions (L1–L5) in the predicted nc886 RNA secondary structure. (B) Example autoradiogram of sequencing gel analysis of nc886 Conformer 1 SHAPE probing using either the 3′-end (left) or internal (right) primer. Lane labels are the same as Panel A. (C) Categorized average nucleotide SHAPE reactivity for each conformer mapped onto the predicted nc886 secondary structure. Also noted are the sequences complementary to the 3′-end and internal primers (thick black lines), nucleotides for which reactivity could not be determined (outline font), and the strong structure-induced RT stops (nucleotides 36–40) observed only for nc886 Conformer 1 (black shading and region marked by an asterisk in panels B and C). The SHAPE reactivity for Conformer 2 correlates well with the predicted secondary structure for nc886 RNA, with strong modification of most nucleotides within predicted loops and essentially none in predicted base-paired regions (Fig. 4A,C). The most significant deviation between SHAPE reactivity and the predicted structure occurs for the 5′-side of Loop 3 (nucleotides 25–28), which exhibits lower than expected reactivity, indicative of a more base-paired or rigid structure. Probing of nc886 Conformer 1 revealed an essentially identical pattern for the 3′-half of the RNA, with high reactivity within the 3′-side of Loop 3 and within Loop 4. However, in sharp contrast to Conformer 2, Loop 5 reactivity is absent in Conformer 1 except at the single, strongly reactive nucleotide A47 (Fig. 4C). Additionally, unique to Conformer 1, a series of remarkably strong, NMIA-independent stops was observed corresponding to the nucleotides immediately preceding Loop 5 in the structure (nucleotides 36–40; Fig. 4B,C), indicative of a stable structure resistant to unfolding during the RT reaction. The remainder of the 5′-half of Conformer 1 was examined using a second, internal primer (complementary to nucleotides 36–54) and found to have similar reactivity as Conformer 2 in this region, including the strong reactivity in the 5′-sides of Loop 1 and lower than expected reactivity for Loop 3. These results demonstrate that each nc886 conformer adopts a common structure within its terminal and central regions, but that they differ dramatically in the apical stem–loop. The reduced reactivity of Loop 5 and the adjacent RT-read-through resistant sequence suggest that the apical stem–loop adopts a stable, higher order structure unique to nc886 Conformer 1. As the only significant structural difference between the two nc886 conformers, these data strongly suggest that the absence (Conformer 2) or presence (Conformer 1) of this additional structural element is responsible for their different native gel motilities, thermal stabilities, and activities against PKR.

The unique Conformer 1 apical stem–loop structure is critical for PKR repression

We next sought to fully define which regions of nc886 are critical for binding and inhibition of PKR. Based on the SHAPE probing data, we created nc886 variants with a truncation of either the terminal stem (nc886ΔTS) or the apical stem–loop (nc886ΔAS) (Fig. 5A). The nc886ΔTS variant exists as two conformers that possess similar relative stability to each full-length nc886 conformer as determined by UV thermal melting analysis (Table 1; Fig. 5B). These observations are consistent with the nc886ΔTS conformers retaining a common central stem organization but distinct structures in the apical stem–loop as for the wild-type RNA. In contrast, nc886ΔAS folds into a single conformer with an apparent Tm for unfolding most similar to Conformer 2 of full-length nc886 and nc886ΔTS. Again, this result is consistent with the apical stem–loop containing the structure that distinguishes the two nc886 RNA conformers. The nc886ΔTS conformers and nc886ΔAS were native PAGE purified as previously described and the isolated RNAs tested for binding to PKR. The nc886ΔTS conformers were found to have similar binding properties as their full-length nc886 equivalents (Fig. 5C), with nc886ΔTS Conformer 1 binding PKR with higher affinity than Conformer 2. In contrast, nc886ΔAS-PKR binding was significantly reduced, comparable to the level of full-length nc886 and nc886ΔTS Conformer 2.
FIGURE 5.

Binding and inhibition of PKR by terminal stem and apical stem–loop deletion variants of nc886 RNA. (A) Schematic showing the RNA regions and sites of truncation for the nc886 terminal stem and the apical stem–loop to create variants nc886ΔTS (deletion of nucleotides 1–12 and 88–101) and nc886ΔAS (deletion of nucleotides 36–63), respectively. One additional sequence alteration (G insertion) in nc886ΔAS is highlighted within the orange dashed line boxes. (B) Native PAGE analysis of in vitro transcribed variant nc886 RNAs. nc886ΔTS, but not nc886ΔAS, maintains formation of two conformers. (C) EMSA analysis of RNA variants binding to PKR for nc886ΔTS Conformer 1, nc886ΔTS Conformer 2, and nc886ΔAS RNAs. Native PAGE gels were stained with SYBR Green to identify free (black arrows) and PKR-bound RNA (green or orange). (D) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with nc886ΔTS Conformer 1 (solid green line), nc886ΔTS Conformer 2 (dashed green line), and nc886ΔAS (solid orange line). Full-length nc886 data (black lines) shown for comparison are the same as those shown in Figure 3C. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples. (E) Radiometric PKR autophosphorylation activation assay demonstrating the loss of PKR activation in nc886ΔAS (solid orange line) and nc886ΔTS Conformer 2 (dashed green line), as compared to full-length nc886 Conformer 2 (dashed black line). nc886 Conformer 2 data are the same as those shown in Figure 3D.

Binding and inhibition of PKR by terminal stem and apical stem–loop deletion variants of nc886 RNA. (A) Schematic showing the RNA regions and sites of truncation for the nc886 terminal stem and the apical stem–loop to create variants nc886ΔTS (deletion of nucleotides 1–12 and 88–101) and nc886ΔAS (deletion of nucleotides 36–63), respectively. One additional sequence alteration (G insertion) in nc886ΔAS is highlighted within the orange dashed line boxes. (B) Native PAGE analysis of in vitro transcribed variant nc886 RNAs. nc886ΔTS, but not nc886ΔAS, maintains formation of two conformers. (C) EMSA analysis of RNA variants binding to PKR for nc886ΔTS Conformer 1, nc886ΔTS Conformer 2, and nc886ΔAS RNAs. Native PAGE gels were stained with SYBR Green to identify free (black arrows) and PKR-bound RNA (green or orange). (D) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with nc886ΔTS Conformer 1 (solid green line), nc886ΔTS Conformer 2 (dashed green line), and nc886ΔAS (solid orange line). Full-length nc886 data (black lines) shown for comparison are the same as those shown in Figure 3C. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples. (E) Radiometric PKR autophosphorylation activation assay demonstrating the loss of PKR activation in nc886ΔAS (solid orange line) and nc886ΔTS Conformer 2 (dashed green line), as compared to full-length nc886 Conformer 2 (dashed black line). nc886 Conformer 2 data are the same as those shown in Figure 3D. We next tested the ability of each RNA variant to inhibit PKR autophosphorylation. Again, the activity of each nc886ΔTS conformer closely resembled that of the equivalent full-length nc886 conformer, whereas nc886ΔAS was a poor PKR inhibitor, comparable to nc886ΔTS Conformer 2 (Fig. 5D). Both nc886ΔAS and nc886ΔTS Conformer 2 were additionally tested in the kinase activation assay to determine whether these RNAs weakly activate PKR as for full-length nc886 Conformer 2. However, neither of these RNAs activated PKR at any of the concentrations tested (Fig. 5E). These results suggest that in the presence of poly(rI:rC) dsRNA, the similarly weak inhibition of PKR observed at the highest concentration of full-length nc886 Conformer 2, nc886ΔTS Conformer 2, and nc886ΔAS RNAs arises due to their comparable weak PKR binding affinities. However, unlike full-length nc886 Conformer 2 which weakly activates PKR in the absence of other dsRNA, nc886ΔTS Conformer 2 has lost this ability. This result suggests that the nc886 terminal stem contributes significantly to this activity in the context of the structure of Conformer 2, which lacks the high affinity apical stem–loop PKR binding site. The cellular impact of PKR activation is the downstream phosphorylation of its substrate eIF2α. We therefore tested the effect of full-length and each variant nc886 RNA on PKR's ability to phosphorylate eIF2α using the same radiometric kinase assay, except that the phosphorylated protein products were resolved by SDS-PAGE prior to autoradiography. After a preincubation in the absence or presence of each nc886 RNA (10 μM), the extent of PKR and eIF2α phosphorylation was measured following incubation with poly(rI:rC) dsRNA activator (Fig. 6A). Full-length nc886 Conformer 1 and nc886ΔTS Conformer 1 both potently inhibit PKR and downstream eIF2α phosphorylation (Fig. 6B). In contrast, nc886 Conformer 2, nc886ΔTS Conformer 2, and nc886ΔAS only partially inhibit PKR autophosphorylation and, as a result, confer almost no inhibition of eIF2α phosphorylation.
FIGURE 6.

Inhibition of PKR phosphorylation of eIF2α substrate by wild-type and nc886 RNA variants. (A) Example SDS-PAGE analysis of a radiometric kinase inhibition assay containing both PKR and eIF2α substrate. (B) Quantification of PKR and eIF2α phosphorylation in the presence of fixed concentrations of poly(rI:rC) RNA (0.05 μg/mL) and the indicated nc886 RNA variant (10 μM) normalized to a no RNA control after background subtraction.

Inhibition of PKR phosphorylation of eIF2α substrate by wild-type and nc886 RNA variants. (A) Example SDS-PAGE analysis of a radiometric kinase inhibition assay containing both PKR and eIF2α substrate. (B) Quantification of PKR and eIF2α phosphorylation in the presence of fixed concentrations of poly(rI:rC) RNA (0.05 μg/mL) and the indicated nc886 RNA variant (10 μM) normalized to a no RNA control after background subtraction. Collectively, the combined structural and functional analyses of wild-type and variant nc886 conformers point to a unique structure, present only in Conformer 1, being responsible for potent PKR inhibition. To this end, we created a final variant RNA (nc886ΔL5) with a minimally altered Loop 5 sequence designed to specifically disrupt this apical stem–loop structure. SHAPE probing and native PAGE analysis demonstrates that this variant RNA exists as a single conformer that adopts a secondary structure similar to wild-type Conformer 2 (Fig. 7A,B). UV thermal melting analysis indicates the stability of the RNA to be similar to that of wild-type Conformer 2 (Table 1). We next tested for PKR binding using the same electrophoretic mobility shift assay and found that nc886ΔL5 binds PKR weakly, similar to both wild-type nc886 Conformer 2 and the larger ΔAS truncation variant (Fig. 7C). Finally, we tested nc886ΔL5 for its ability to inhibit PKR autophosphorylation in the presence of the synthetic dsRNA poly(rI:rC) using the radiometric kinase assay. nc886ΔL5 is a poor PKR inhibitor (Fig. 7D), consistent with Loop 5 being critical for forming the apical stem–loop structure essential for potent PKR inhibition. Contrary to our expectation, however, nc886ΔL5 did not retain the capacity of wild-type Conformer 2 to weakly activate PKR. This suggests the full apical stem–loop structure of the RNA is required in addition to the terminal stem for this activity.
FIGURE 7.

Alteration of loop 5 (nucleotides 44–48; nc886ΔL5) disrupts the structure specific to nc886 Conformer 1 and abrogates PKR inhibition. (A) Left, example autoradiogram of sequencing gel analysis of nc886ΔL5 SHAPE probing. Lanes are: −, mock treated (no NMIA); +, NMIA treated; and, U/G, sequencing lanes containing the complementary dideoxy NTP. Brackets on the right of the gel image denote the loop regions (L1 to TL) in the predicted nc886 RNA secondary structure. Right, categorized average nucleotide SHAPE reactivity mapped onto the predicted secondary structure. (B) Native PAGE analysis of nc886ΔL5 RNA. (C) EMSA analysis of nc886ΔL5 RNA binding to PKR using SYBR Green staining to identify free (black arrow) and PKR-bound RNA (blue arrow). (D) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with nc886ΔL5. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples.

Alteration of loop 5 (nucleotides 44–48; nc886ΔL5) disrupts the structure specific to nc886 Conformer 1 and abrogates PKR inhibition. (A) Left, example autoradiogram of sequencing gel analysis of nc886ΔL5 SHAPE probing. Lanes are: −, mock treated (no NMIA); +, NMIA treated; and, U/G, sequencing lanes containing the complementary dideoxy NTP. Brackets on the right of the gel image denote the loop regions (L1 to TL) in the predicted nc886 RNA secondary structure. Right, categorized average nucleotide SHAPE reactivity mapped onto the predicted secondary structure. (B) Native PAGE analysis of nc886ΔL5 RNA. (C) EMSA analysis of nc886ΔL5 RNA binding to PKR using SYBR Green staining to identify free (black arrow) and PKR-bound RNA (blue arrow). (D) Quantification of slot-blot radiometric PKR autophosphorylation inhibition assays with nc886ΔL5. The dotted line represents the extent of PKR phosphorylation, in the absence of any nc886 RNA, at the fixed concentration of poly(rI:rC) dsRNA activator used in all samples.

DISCUSSION

PKR binds to and is activated by RNAs containing a variety of structural elements, including internal bulges, stem–loops, and single-stranded regions, or RNAs which may only be sufficiently double-stranded through tertiary interactions (Osman et al. 1999; Nussbaum 2002; Kim et al. 2006; Cohen-Chalamish et al. 2009; Heinicke et al. 2009; Nallagatla et al. 2011; Dzananovic et al. 2013; Mayo et al. 2016). With our growing appreciation that cellular RNAs adopt complex secondary and tertiary folds, the number of potential PKR activators in a cell is high. The identification that nc886 RNA functions as a negative regulator of PKR (Lee et al. 2011) thus provides a cellular mechanism to repress spurious inhibition of translation in the absence of viral infection. In this study, we have demonstrated that nc886 RNA can adopt two nonequivalent structures that modulate PKR activity in distinct and opposing manners. Our SHAPE structure probing studies revealed that Conformer 2 adopts an apical stem–loop structure consistent with the predicted secondary structure for nc886, specifically, high reactivity of all Loop 5 nucleotides and low reactivity for the nucleotides of the adjacent four base pair helix. In contrast, the Loop 5 nucleotides of nc886 Conformer 1 had predominantly low reactivity, and the 5′-half of the adjacent helix was found to block reverse transcriptase, independent of the presence of SHAPE probing reagent. RNA dimerization is known to influence PKR–RNA interaction, resulting in increased PKR activation (Heinicke et al. 2009; Hull and Bevilacqua 2016). Dimerization could potentially give rise to the relative native gel mobilities of the two nc886 conformers and result in the changes in SHAPE reactivity we observed for Conformer 1. Dimerization-based generation of a PKR-inhibitory structure would be an unexpected mechanism of PKR regulation. However, the significantly greater stability of Conformer 1 and the equivalent native gel mobility of the PKR complexes with each conformer argue against nc886 dimerization as the difference between the two forms. Further, we have found that while neither nc886 conformer is formed in a concentration-dependent manner, both conformers form slower migrating bands on native gel at higher concentrations and both these dimeric/oligomeric forms can be disrupted by annealing at temperatures below the unfolding of Conformer 1 (data not shown). Thus, while dimerization cannot be definitively excluded, we propose based on our results that Conformer 1 adopts a higher order structure involving nucleotides of Loop 5 within its apical stem–loop and that this tertiary structure distinguishes the two monomeric forms of nc886. nc886 Conformer 1 binds with higher affinity resulting in potent inhibition of PKR whereas Conformer 2 binds more weakly and, surprisingly, behaves as a pseudoinhibitor. As such, nc886 Conformer 2 can weakly activate the kinase but becomes inhibitory at high concentrations against a more potent activator, such as poly(rI:rC) dsRNA. These opposing functions also impact phosphorylation of PKR's substrate eIF2α: nc886 Conformer 1 effectively inhibits the downstream phosphorylation of eIF2α, while Conformer 2 results in no loss of eIF2α phosphorylation. The two nc886 conformers adopt common terminal and central stem structures, and deletion of the terminal stem has no impact on the formation of distinct RNA conformers or the PKR binding and inhibitory potential of each compared to the wild-type RNA. In contrast, deletion of the entire apical stem–loop or just Loop 5 results in a single conformer with the same functional properties as Conformer 2. These observations demonstrate the critical importance of the unique apical stem–loop structure of Conformer 1 for potent nc886-mediated inhibition of PKR. However, high-resolution structural analysis will be required to fully define the nc886 Conformer 1 apical stem–loop structure and thus reveal the basis for its specific ability to potently inhibit PKR. Furthermore, the nature of the two nc886 conformers has direct functional consequences for PKR regulation, and it may not be appropriate to simply consider them as active and inert forms, as previously suggested (Jeon et al. 2012). Aside from its central importance to innate immunity, PKR plays diverse roles in cell signaling pathways and during mitosis, cell differentiation, and transcriptional regulation (García et al. 2006, 2007; Kang and Tang 2012; Liu et al. 2013; Kim et al. 2014; Youssef et al. 2015). Thus, there is a clear need for tight regulation of PKR activity in the uninfected cell in a manner which still allows for appropriate activation by cellular RNAs and proteins. Identification of opposing PKR-regulatory activities for the two nc886 conformers suggests a potential mechanism that would allow for a gradient of regulation rather than all-or-nothing PKR inhibition. We speculate that by tuning the levels of each nc886 conformer, the cell would be able to prevent basal activation of PKR in the absence of infection while still allowing for specific and timed activation in response to diverse cellular needs. The nc886 conformer levels and/or ratio could be shifted either transcriptionally or through refolding of nc886, similar to the autoregulation of IFN-γ mRNA translation via refolding of its 5′-untranslated region into a PKR-activating structure (Cohen-Chalamish et al. 2009). During viral infection, either conformer of nc886 RNA could be easily displaced by viral RNAs through greater binding affinity or through excess viral dsRNA, thus allowing PKR to mount an immune response. Indeed, in cells stably expressing nc886, poly(rI:rC) dsRNA transfection still elicits PKR activation (Jeon et al. 2012). The questions of if, how, and when the levels or ratios of the nc886 conformers may change during the life of the cell remain to be answered. The importance of nc886 in the regulation of PKR activity is highlighted by both its implication in disease and by the perturbation of its function by a range of viruses (García et al. 2006; Langland et al. 2006; Roberts et al. 2009; Marchal et al. 2014). Addressing what other cellular binding partners nc886 RNA may have and whether these would be shared or distinct between the two conformers would reveal potential mechanisms by which nc886 dysregulation might contribute to disease. Moreover, viruses also inhibit PKR activity through the actions of nc886. For example, Epstein-Barr virus infection stimulated a three- to fourfold increase in the level of nc886 RNA (then named CBL3) (Nandy et al. 2009) and Influenza A virus infection increased levels of nc886 (then named vtRNA 2-1) by 25-fold (Li et al. 2015). However, whether viruses may also influence the relative expression of the nc886 conformers to promote their replication by masking detection for survival is unknown. In summary, the current study has revealed new insights into how nc886 RNA adopts multiple conformers that are critical for its function as a regulator of PKR activity, as well as elucidating the differences both in their structure and function. Future studies building on this work would contribute to our understanding of this critical regulator of innate immunity and could potentially inform therapeutic approaches to inhibit or to stimulate the immune response through the actions of this noncoding RNA.

MATERIALS AND METHODS

RNA in vitro transcription and purification

Full-length and variant nc886 RNAs were in vitro transcribed from linearized plasmid DNA templates using T7 RNA polymerase as previously described (Linpinsel and Conn 2012). nc886 variants were produced in the same way from plasmids encoding sequences with the following changes: deletion of nucleotides 1–12 and 88–101 (nc886ΔTS), deletion of nucleotides 36–63 (nc886ΔAS), and deletion of nucleotides 44–48 with additional U50 to G mutation (nc886ΔL5). Following dialysis against 1× Tris–EDTA (TE) buffer, RNAs were purified by polyacrylamide gel electrophoresis (PAGE) on denaturing (50% urea, 1× Tris–Borate–EDTA [TBE]) or native (0.5× TBE) gels. RNA bands were identified by UV shadowing, excised, eluted from the gel by crushing and soaking in 0.3 M sodium acetate, and ethanol precipitated as previously described (Linpinsel and Conn 2012).

PKR and eIF2α protein expression and purification

For PKR expression, E. coli Rosetta 2 (DE3) cells were transformed with the pET-PKR/PPase plasmid encoding full-length human PKR (Lemaire et al. 2008). Single colonies were used to inoculate large-scale cultures in Terrific Broth. PKR expression was induced with 0.1 mM isopropyl β-D-1-thiogalactopyranoside (IPTG) at mid-log phase growth (OD600 ∼0.5) and growth continued overnight at 20°C. PKR was purified by sequential heparin-affinity (HiPrep Heparin 16/10), poly(rI:rC) dsRNA-affinity, and gel filtration (Superdex 200 10/300) chromatographies on an ÄKTApurifier10 system (GE Healthcare). PKR was eluted from the gel filtration column in 20 mM HEPES buffer (pH 7.5) containing 150 mM NaCl, 0.1 mM EDTA, 10% glycerol, and 10 mM β-mercaptoethanol (BME). For eIF2α expression, E. coli BL21 (DE3) cells were transformed with a plasmid encoding an amino-terminal hexa-histidine-tagged human eIF2α. Single colonies were used to inoculate large-scale cultures in Lysogeny Broth. eIF2α expression was induced with 0.1 mM IPTG at mid-log phase growth (OD600 ∼ 0.5) and growth continued overnight at 18°C. eIF2α was purified using a bench-top HisSpinTrap column (GE Healthcare). Fractions containing the protein were pooled and further purified by gel filtration chromatography (Superdex 200 10/300) on an ÄKTApurifier10 system. eIF2α was eluted from the gel filtration column in 20 mM HEPES buffer (pH 7.5) containing 150 mM NaCl, 0.1 mM EDTA, 10% glycerol, and 10 mM BME.

RNA UV thermal melting analysis

RNA UV melting curves were collected at 260 and 280 nm on a Cary400 UV-visible spectrophotometer (Varian). Samples contained 20–25 μg of RNA in a solution of either 0.5× TBE or 20 mM HEPES buffer (pH 7.5) containing 100 mM NaCl. To simplify comparisons between RNA constructs, the first derivative of each UV absorbance curve (the “melting profile”) was calculated for each RNA in GraphPad Prism6 software after normalization using the following equation: (AbsT − AbsTmin)/AbsTmin.

Electrophoretic mobility shift assays (EMSA)

A range of PKR concentrations, from 0–3 μM, was incubated with 300 nM full-length or variant nc886 RNA for 30 min on ice in 20 mM HEPES (pH 7.5) 150 mM NaCl, 10% glycerol, and 2 mM EDTA. After incubation, free and bound RNAs were resolved by native PAGE (10% acrylamide, 0.5× TBE). Gels were stained with SYBR Green gel stain for 20 min and visualized on a Typhoon FLA 7000 (GE Healthcare) using the fluorescence setting and a 520 nm emission filter. EMSAs were repeated at least two times producing essentially identical results.

PKR inhibition assays

PKR (0.1 μg) was preincubated with 0–10 μM of full-length or variant nc886 RNA for 10 min at 25°C in 50 mM Tris buffer (pH 7.8) containing 50 mM KCl, 2.5 mM DTT, and 10% glycerol. Reactions were initiated by the addition of 0.05 μg/mL poly(rI:rC) dsRNA, 20 μM ATP, 1 μCi [γ32P]-ATP, and 2 mM MgCl2. After incubation at 25°C for 10 min, reactions were quenched with excess ice-cold phosphate buffered saline containing 200 μM ATP and applied to a Bio-Dot SF (Bio-Rad) microfiltration system as described previously (Sunita et al. 2015). Membranes were exposed to a phosphor storage screen and the extent of phosphorylation was determined by analysis on a Typhoon FLA 7000 PhosphorImager and ImageQuant software (GE Healthcare). Assays were repeated at least two times for each RNA and normalized to a control lacking nc886 RNA after background subtraction. Assays of inhibition of eIF2α phosphorylation were carried out as described above but at a single nc886 RNA concentration (10 μM) and with the additional inclusion of 0.25 μg eIF2α in the reaction initiation mixture. Reactions were quenched by the addition of gel loading dye for SDS-PAGE analysis. Gels were dried and exposed to a phosphor storage screen and analyzed as above. Assays of PKR and eIF2α inhibition were repeated at least three times for each RNA. Phosphorylation intensity for each protein was normalized to a reaction lacking nc886 after background subtraction from a control reaction lacking both poly(rI:rC) dsRNA and nc886.

PKR activation assays

PKR (0.1 μg) was incubated with 0–10 μM of full-length or variant nc886 RNA for 10 min at 25°C in 50 mM Tris buffer (pH 7.8) containing 50 mM KCl, 2.5 mM DTT, 10% glycerol, 20 μM ATP, 1 μCi [γ32P]-ATP, and 2 mM MgCl2. After incubation, reactions were quenched with excess ice-cold phosphate buffered saline containing 200 μM ATP and applied to a Bio-Dot SF (Bio-Rad) microfiltration system as described previously (Sunita et al. 2015). Membranes were exposed to a phosphor storage screen and the extent of phosphorylation was determined using analysis by a Typhoon FLA 7000 PhosphorImager and ImageQuant software (GE Healthcare). Values were normalized to a poly(rI:rC) (0.1 μg/mL) reaction performed in parallel, following background subtraction from a control reaction without nc886 RNA. Assays were repeated at least three times for each RNA.

Selective 2′-hydroxyl acylation analyzed by primer extension (SHAPE)

SHAPE RNA probing with NMIA was carried out as described previously (Wilkinson et al. 2006) with the following modifications: Reactions were initiated using 1 μL of 130 mM NMIA for 45 min at 37°C. Reverse transcription was carried out with a 5′-end labeled [γ32P]-ATP DNA primer corresponding to the sequence of the 3′-end of the RNA (nucleotides 84–101 for both conformers) or to an internal sequence (nucleotides 36–54 for Conformer 1 only). To determine the position of each SHAPE reactive nucleotide, dideoxy nucleotide (ddNTP) sequencing was carried out using the radiolabeled primer and untreated RNA. All reactions were run on sequencing gels, dried, and exposed to a phosphor storage screen. The intensity of bands was analyzed on a Typhoon Trio Imager and quantified using ImageQuant software (GE Healthcare). Following subtraction of background reactivity in the no NMIA lanes, reactivity at each nucleotide was normalized and the values from at least two replicates were averaged and classified as 5.5%–11%, 11%–22%, and >22% (Wilkinson et al. 2006). SHAPE reactivity for nc886 Conformer 1 was separately normalized to highest reactivity in each data set for the external and internal primers.
  45 in total

1.  A cis-acting element in the 3'-untranslated region of human TNF-alpha mRNA renders splicing dependent on the activation of protein kinase PKR.

Authors:  F Osman; N Jarrous; Y Ben-Asouli; R Kaempfer
Journal:  Genes Dev       Date:  1999-12-15       Impact factor: 11.361

2.  Precursor miR-886, a novel noncoding RNA repressed in cancer, associates with PKR and modulates its activity.

Authors:  Kwanbok Lee; Nawapol Kunkeaw; Sung Ho Jeon; Inhan Lee; Betty H Johnson; Gum-Yong Kang; Joo Young Bang; Hyung Soon Park; Chanvit Leelayuwat; Yong Sun Lee
Journal:  RNA       Date:  2011-04-25       Impact factor: 4.942

3.  Potential role for snoRNAs in PKR activation during metabolic stress.

Authors:  Osama A Youssef; Sarah A Safran; Takahisa Nakamura; David A Nix; Gökhan S Hotamisligil; Brenda L Bass
Journal:  Proc Natl Acad Sci U S A       Date:  2015-04-06       Impact factor: 11.205

4.  Allelic methylation levels of the noncoding VTRNA2-1 located on chromosome 5q31.1 predict outcome in AML.

Authors:  Marianne Bach Treppendahl; Xiangning Qiu; Alexandra Søgaard; Xiaojing Yang; Cecilie Nandrup-Bus; Christoffer Hother; Mette Klarskov Andersen; Lars Kjeldsen; Lars Möllgård; Lars Möllgaard; Eva Hellström-Lindberg; Johan Jendholm; Bo T Porse; Peter A Jones; Gangning Liang; Kirsten Grønbæk
Journal:  Blood       Date:  2011-11-04       Impact factor: 22.113

5.  DNA methylation-mediated repression of miR-886-3p predicts poor outcome of human small cell lung cancer.

Authors:  Jianzhong Cao; Yongmei Song; Nan Bi; Jie Shen; Wenyang Liu; Jing Fan; Guogui Sun; Tong Tong; Jie He; Yuankai Shi; Xun Zhang; Ning Lu; Yinghua He; Hongyu Zhang; Kelong Ma; Xiaoying Luo; Lei Lv; Hui Deng; Jing Cheng; Jingde Zhu; Luhua Wang; Qimin Zhan
Journal:  Cancer Res       Date:  2013-04-16       Impact factor: 12.701

Review 6.  PKR in innate immunity, cancer, and viral oncolysis.

Authors:  Siddharth Balachandran; Glen N Barber
Journal:  Methods Mol Biol       Date:  2007

7.  PKR regulates proliferation, differentiation, and survival of murine hematopoietic stem/progenitor cells.

Authors:  Xiangfei Liu; Richard L Bennett; Xiaodong Cheng; Michael Byrne; Mary K Reinhard; W Stratford May
Journal:  Blood       Date:  2013-02-12       Impact factor: 22.113

Review 8.  Interferon-stimulated genes and their antiviral effector functions.

Authors:  John W Schoggins; Charles M Rice
Journal:  Curr Opin Virol       Date:  2011-12       Impact factor: 7.090

9.  nc886, a non-coding RNA of anti-proliferative role, is suppressed by CpG DNA methylation in human gastric cancer.

Authors:  Kwang-Soo Lee; Jong-Lyul Park; Kwanbok Lee; Lauren E Richardson; Betty H Johnson; Hyun-Sung Lee; Ju-Seog Lee; Sang-Bae Kim; Oh-Hyung Kwon; Kyu Sang Song; Yong Sung Kim; Hassan Ashktorab; Duane T Smoot; Sung Ho Jeon; Seon-Young Kim; Yong Sun Lee
Journal:  Oncotarget       Date:  2014-06-15

10.  Robust expression of vault RNAs induced by influenza A virus plays a critical role in suppression of PKR-mediated innate immunity.

Authors:  Fang Li; Yuhai Chen; Zhaoyuan Zhang; Jing Ouyang; Yi Wang; Ruoxiang Yan; Shile Huang; George Fu Gao; Guijie Guo; Ji-Long Chen
Journal:  Nucleic Acids Res       Date:  2015-10-20       Impact factor: 16.971

View more
  14 in total

1.  Shapeshifting RNAs guide innate immunity.

Authors:  Jonathan D Dinman
Journal:  J Biol Chem       Date:  2018-10-12       Impact factor: 5.157

2.  A human cellular noncoding RNA activates the antiviral protein 2'-5'-oligoadenylate synthetase 1.

Authors:  Brenda M Calderon; Graeme L Conn
Journal:  J Biol Chem       Date:  2018-08-20       Impact factor: 5.157

Review 3.  RNA regulation of the antiviral protein 2'-5'-oligoadenylate synthetase.

Authors:  Samantha L Schwartz; Graeme L Conn
Journal:  Wiley Interdiscip Rev RNA       Date:  2019-04-15       Impact factor: 9.957

Review 4.  Are We Studying Non-Coding RNAs Correctly? Lessons from nc886.

Authors:  Yong Sun Lee
Journal:  Int J Mol Sci       Date:  2022-04-12       Impact factor: 6.208

Review 5.  The search for a PKR code-differential regulation of protein kinase R activity by diverse RNA and protein regulators.

Authors:  Charles Bou-Nader; Jackson M Gordon; Frances E Henderson; Jinwei Zhang
Journal:  RNA       Date:  2019-02-15       Impact factor: 4.942

6.  Mother-child transmission of epigenetic information by tunable polymorphic imprinting.

Authors:  Brittany L Carpenter; Wanding Zhou; Zachary Madaj; Ashley K DeWitt; Jason P Ross; Kirsten Grønbæk; Gangning Liang; Susan J Clark; Peter L Molloy; Peter A Jones
Journal:  Proc Natl Acad Sci U S A       Date:  2018-12-03       Impact factor: 11.205

7.  Crystal structure of an adenovirus virus-associated RNA.

Authors:  Iris V Hood; Jackson M Gordon; Charles Bou-Nader; Frances E Henderson; Soheila Bahmanjah; Jinwei Zhang
Journal:  Nat Commun       Date:  2019-06-28       Impact factor: 14.919

Review 8.  Dance with the Devil: Stress Granules and Signaling in Antiviral Responses.

Authors:  Nina Eiermann; Katharina Haneke; Zhaozhi Sun; Georg Stoecklin; Alessia Ruggieri
Journal:  Viruses       Date:  2020-09-04       Impact factor: 5.048

9.  Programmed -1 Ribosomal Frameshifting in coronaviruses: A therapeutic target.

Authors:  Jamie A Kelly; Michael T Woodside; Jonathan D Dinman
Journal:  Virology       Date:  2020-12-25       Impact factor: 3.513

10.  VTRNA2-1: Genetic Variation, Heritable Methylation and Disease Association.

Authors:  Pierre-Antoine Dugué; Chenglong Yu; Timothy McKay; Ee Ming Wong; Jihoon Eric Joo; Helen Tsimiklis; Fleur Hammet; Maryam Mahmoodi; Derrick Theys; John L Hopper; Graham G Giles; Roger L Milne; Jason A Steen; James G Dowty; Tu Nguyen-Dumont; Melissa C Southey
Journal:  Int J Mol Sci       Date:  2021-03-03       Impact factor: 5.923

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.