Identification of interferon-stimulated genes that attenuate Ebola virus infection

Kuroda, Makoto; Halfmann, Peter J.; Hill-Batorski, Lindsay; Ozawa, Makoto; Lopes, Tiago J. S.; Neumann, Gabriele; Schoggins, John W.; Rice, Charles M.; Kawaoka, Yoshihiro

doi:10.1038/s41467-020-16768-7

Download PDF

Article
Open access
Published: 11 June 2020

Identification of interferon-stimulated genes that attenuate Ebola virus infection

Nature Communications volume 11, Article number: 2953 (2020) Cite this article

9170 Accesses
26 Citations
8 Altmetric
Metrics details

Subjects

Abstract

The West Africa Ebola outbreak was the largest outbreak ever recorded, with over 28,000 reported infections; this devastating epidemic emphasized the need to understand the mechanisms to counteract virus infection. Here, we screen a library of nearly 400 interferon-stimulated genes (ISGs) against a biologically contained Ebola virus and identify several ISGs not previously known to affect Ebola virus infection. Overexpression of the top ten ISGs attenuates virus titers by up to 1000-fold. Mechanistic studies demonstrate that three ISGs interfere with virus entry, six affect viral transcription/replication, and two inhibit virion formation and budding. A comprehensive study of one ISG (CCDC92) that shows anti-Ebola activity in our screen reveals that CCDC92 can inhibit viral transcription and the formation of complete virions via an interaction with the viral protein NP. Our findings provide insights into Ebola virus infection that could be exploited for the development of therapeutics against this virus.

IKKε isoform switching governs the immune response against EV71 infection

Article Open access 02 June 2021

Ya-Ling Chang, Yu-Wen Liao, … Sung-Liang Yu

Therapeutic strategies to target the Ebola virus life cycle

Article 24 July 2019

Thomas Hoenen, Allison Groseth & Heinz Feldmann

SAMD4 family members suppress human hepatitis B virus by directly binding to the Smaug recognition region of viral RNA

Article 27 April 2020

Yuze Wang, Xinrui Fan, … Jiahuai Han

Introduction

Ebola virus infection causes a rapid and severe disease in humans that is characterized by coagulation and bleeding abnormalities, an exaggerated inflammatory response, hypotensive shock, and often death¹. Ebola virus is a member of the Filoviridae family, and six virus species in the genus Ebolavirus have been identified to date: Zaire, Sudan, Tai Forest (previously Cote d’Ivoire), Reston, Bundibugyo, and Bombali^2,3. Among these six species, Zaire ebolavirus (EBOV) causes the highest case fatality rates in humans, and was the species responsible for the 2014–2016 EBOV outbreak in West Africa. That outbreak was the largest on record with more than 28,000 reported infections and over 11,000 deaths⁴. At the time writing, the second largest outbreak is ongoing in the Democratic Republic of Congo⁵.

The EBOV genome is a negative-sense RNA genome that encodes at least seven known structural proteins. The EBOV glycoprotein (GP) mediates virus entry^6,7, whereas four structural proteins—nucleoprotein (NP), RNA-dependent RNA polymerase (L), VP30, and VP35—are important for viral genome amplification⁸. EBOV VP40 is a membrane-associated viral protein that is essential for viral budding⁹. EBOV VP24 and VP35 are key components of the nucleocapsid¹⁰, with VP24 facilitating correct nucleocapsid assembly¹¹.

The type I interferon (IFN) system, which comprises IFNα and IFNβ, is a key component of the innate immune response and is involved in the control of viral infection. IFNα and IFNβ are activated upon EBOV infection; however, their activation can be counteracted by VP35, which inhibits the phosphorylation and subsequent nuclear translocation of interferon regulatory factor 3 (IRF3)¹². When IFN is released from infected cells, it binds to IFN receptors on neighboring cells, resulting in the activation of JAK/STAT-dependent signaling pathways. The activation of JAK/STAT pathways can be counteracted by VP24 through the inhibition of STAT-1 nuclear translocation¹³. Activation of JAK/STAT pathways leads to the induction of several hundred interferon-stimulated genes (ISGs)¹⁴. The ISG products may directly limit viral replication^14,15,16; however, once again, EBOV has evolved countermeasures against the action of ISGs; for example, VP35 blocks PKR activation and GP blocks BST2/tetherin-mediated restriction of viral budding^17,18. This rapid and potent attenuation of antiviral IFN responses likely contributes to the overall pathogenicity of EBOV.

Previous large-scale screening studies have identified multiple ISGs with activity against RNA and DNA viruses^{15,19,20,21,22,23,24,25}. However, such comprehensive studies are lacking for EBOV. Here, we screen a protein expression library of known ISGs against our previously established biologically contained EBOV (which lacks the essential VP30 gene and can be used in BSL-2 containment^26,27) and identify several ISGs that were not previously known to interfere with the EBOV life cycle. Our findings provide insights into Ebola virus infection that could be exploited for the development of antivirals to combat this virus.

Results

A luciferase-based screen for identifying ISGs with anti-EBOV activity

To identify ISGs with anti-EBOV properties, we used a biologically contained EBOV (based on the genome sequence of Zaire ebolavirus, Mayinga 1976) that lacks the essential VP30 gene and expresses the Renilla luciferase reporter gene instead (EBOV∆VP30-luc). This reporter virus replicates efficiently in cell lines stably expressing EBOV VP30, such as human embryonic kidney (HEK)-293T VP30 cells²⁶. HEK-293T VP30 cells were transiently transfected with individual protein expression vectors from a library of 389 different ISGs¹⁵. Twenty-four hours later, the transfected cells were infected with EBOV∆VP30-luc. Three days post infection, the cells were lysed and virus-driven luciferase expression levels were analyzed. All data were normalized to luciferase levels from cells transfected with a control vector expressing a fluorescent protein that does not inhibit infection and are represented in a dot plot as relative luciferase activities (Fig. 1a; raw data in Source Data). Overexpression of most ISGs reduced viral-driven luciferase expression to some extent (averaging 15% inhibition, indicated by the solid vertical line in Fig. 1a). For further evaluation, we selected 21 ISGs that caused a statistically significant reduction in virus-driven luciferase expression levels (p-value ≤ 0.05) and one additional ISG, IFI6, (p-value = 0.075) that was previously reported to have antiviral properties^15,20,28 (Fig. 1a; indicated by the black dots).

**Fig. 1: Identification of ISGs that attenuate EBOV-driven luciferase activity and EBOV growth kinetics.**

For the selected 22 ISGs, we performed three independent experiments with EBOV∆VP30-luc infection of transfected HEK-293T VP30 cells and confirmed the anti-EBOV nature of all 22 ISGs (Fig. 1b). To further examine these ISGs in functional studies, we cloned them into the mammalian protein expression vector pCAGGS, which contains the chicken β-actin promoter²⁶. When expressed under the control of this promoter, several of the ISGs (i.e., IFIH1/MDA5, IRF1, C9orf91, IRF7, CD9, CTCFL, and CX3CL1) exhibited cytotoxic effects and were, therefore, excluded from further testing. Of the remaining ISGs, we selected the 10 ISGs with the strongest attenuating effect on EBOV-driven luciferase expression (listed in Supplementary Table 1) with little to no inhibition of vector-based, cellular expression of firefly luciferase or Renilla luciferase (i.e., independent of virus replication; Supplementary Fig. 1a–c) for further characterization

Effect of selected ISGs on EBOV∆VP30 titers

Next, we tested the effect of ISG overexpression on EBOV∆VP30 titers. Overexpression of all 10 ISGs significantly attenuated virus growth on both days 3 and 6 post infection relative to either the empty pCAGGS vector or pCAGGS-GFP controls (Fig. 1c). The three ISGs with the most significant inhibitory effect, PFKFB3, BTN3A3, and CCDC92, decreased EBOV∆VP30 titers by nearly 1000-fold on day 6 post infection (Fig. 1c).

In a concurrent experiment, cell lysates were collected from transfected, but not infected HEK-293T VP30 cells on days 4 and 7 post transfection to examine the protein levels of each ISG and VP30. In most cases, the protein levels of each ISG were highest on day 4 after transfection and the levels of VP30 remained consistent throughout (Supplementary Fig. 2a). In a separate set of experiments, HEK-293T VP30 cells were transfected and infected as described above and cell viability was assessed. Overexpression of the ISGs tested here did not markedly reduce cell viability compared with either the empty pCAGGS vector or pCAGGS-GFP controls (Supplementary Fig. 2b). Collectively, these data suggest that the virus titer reduction induced by the selected ISGs is virus specific and not due to a significant decrease in VP30 expression in the cell line or to overall cytotoxicity.

Given that EBOV infection of endothelial cells is linked to pathogenesis²⁹, we next assessed the potential of these ten ISGs to inhibit EBOV infection in primary human umbilical vein endothelial cells stably expressing VP30 (HUVEC VP30 cells). Cells were transfected with each ISG or GFP expression vector by electroporation. Transfected cells with greater than 75% cell viability at 24 h post transfection were infected with EBOV∆VP30-luc (Supplementary Fig. 3a). Overexpression of all the ISGs, except for MAP3K5 and IFI6 whose expression was cytotoxic in HUVEC VP30 cells, significantly reduced EBOV-driven luciferase expression at three days post infection (Supplementary Fig. 3b) in a similar manner of inhibition to that observed in HEK-293T VP30 (Fig. 1b). In a parallel experimental, we confirmed the expression of each ISG in HUVEC VP30 cells after transfection and that the selected ISGs did not decrease the expression of VP30 in the HUVEC VP30 cells by western blot analysis (Supplementary Fig. 3c).

Anti-EBOV activity of endogenous BTN3A3 induced by IFNγ

Having demonstrated the antiviral activity of ISGs against EBOV using vectors to overexpress individual ISGs, we next asked whether endogenous expression of any of the top ten ISGs contributed to anti-EBOV activity. Treatment of human cervical cancer (HeLa) cells with different interferons (IFNα, IFNβ, or IFNγ) for 24 h induced the mRNA expression of many of the ISGs of interest (Supplementary Table 2). We then attempted to confirm protein expression of the ISGs after IFN treatment in HeLa cells by immunoblotting using ISG-specific antibodies. However, we were only able to detect the protein expression of the ISG, BTN3A3, after IFNγ treatment in wild-type HeLa cells (Supplementary Fig. 4) and HeLa cells that stably express VP30 (HeLa VP30 cells; Fig. 2a). When cells were treated with different concentrations of IFNγ for 24 h and then infected with EBOV∆VP30, we observed up to a 100-fold reduction in virus titers on day 2 post infection with no cytotoxicity (Fig. 2b), which is consistent with previous reports that IFNγ inhibits EBOV infection^30,31. To assess the contribution of endogenous BTN3A3 to IFNγ-mediated inhibition of EBOV, we determined virus titers after IFNγ treatment by reducing BTN3A3 gene expression via siRNAs targeting two different sites of its mRNA transcript. The efficiency of knockdown was evaluated by use of qRT-PCR; BTN3A3 mRNA expression increased by 10-fold upon IFNγ treatment and BTN3A3 mRNA expression was reduced by siRNA treatment (Fig. 2c). In the same experimental setting, HeLa VP30 cells transfected with the siRNAs and then treated with IFNγ were infected with EBOV∆VP30. Virus titers in control siRNA-treated cells were attenuated by 10-fold, whereas virus titers in BTN3A3 siRNA-treated cells were significantly less attenuated (Fig. 2d). In the absence of IFNγ treatment, BTN3A3 gene knockdown did not affect virus titers (Fig. 2d). We observed similar results when the same experiments were performed in human hepatocarcinoma (Huh7.0) cells (Supplementary Table 2 and Supplementary Fig. 5a–d).

**Fig. 2: EBOV attenuation by endogenous BTN3A3.**

To determine whether stable expression of BTN3A3 could inhibit EBOV growth at endogenous expression levels, we generated HeLa VP30 cells that stably expressed BTN3A3. We observed that BTN3A3 protein expression levels in HeLa cells stably expressing BTN3A3 were similar to those observed in wild-type HeLa VP30 cells treated with IFNγ (Fig. 2e). The titer of EBOV∆VP30 was 50% lower in HeLa VP30 cells stably expressing BTN3A3 compared with that in wild-type HeLa VP30 cells (p = 0.024; Fig. 2f). Taken together, these results indicate that endogenous BTN3A3 has anti-EBOV activity.

The effect of ISGs on EBOV cell entry

To gain insight into the mechanism(s) by which ISGs attenuate EBOV infection, we first examined the effect of the selected ISGs on viral entry into host cells. EBOV binding to host cells, virion internalization, and membrane fusion are mediated by GP, which is expressed on the virion surface³². To quantitatively assess the effect of each ISG on EBOV GP-mediated viral entry, HEK-293T cells were transfected with pCAGGS vectors expressing individual ISGs, a control vector expressing GFP, or a positive control vector encoding IFITM3, a known ISG that inhibits EBOV and vesicular stomatitis virus (VSV) cell entry^33,34. Twenty-four hours later, cells were infected with a firefly luciferase-expressing VSV lacking the VSV-G gene and pseudotyped with either EBOV GP (VSV-EBOV GP) or VSV-G. Twenty-four hours post infection, cells were lysed and luciferase activity was assessed. As expected, overexpression of the IFITM3 positive control significantly inhibited cell entry of both VSV-EBOV GP and VSV-G, reducing luciferase activity by 85% and 75%, respectively (Fig. 3a). Cell entry of VSV-EBOV GP was also significantly reduced by overexpression of AKT3 (60% reduction), whereas overexpression of AKT3 did not interfere with cell entry of VSV-G (Fig. 3a). Overexpression of ODC1 and FLT1 significantly reduced cell entry of both VSV-G and VSV-EBOV GP (Fig. 3a). The overexpression of each ISG was confirmed in the lysates of the transfected HEK-293T cells at 24 h post transfection (Supplementary Fig. 6).

**Fig. 3: Effect of selected ISGs on EBOV cell entry, transcription/replication, and virion formation/budding.**

Furthermore, we assessed whether these three ISGs had broad antiviral entry activity. Cell entry of VSV pseudotyped with the Lassa virus glycoprotein complex (VSV-LASV GPC) or influenza A/WSN/33 (H1N1) virus hemagglutinin (HA) and neuraminidase (NA) (VSV-WSN HA/NA) was significantly reduced by ODC1 overexpression, whereas no significant inhibition of entry of these viruses was induced by AKT3 or FLT1 (Supplementary Fig. 7a–c).

We then attempted to verify the antiviral activity of ODC1 by using a different entry assay based on a pseudotyped retrovirus. In transfected cells expressing the retrovirus GFP reporter vector pMXs-IRES-GFP (pMXs-IG), we observed no inhibition of GFP expression when OCD1 was co-expressed compared to cells transfected with pMXs-IG and an empty vector (Supplementary Fig. 8a), indicating that OCD1 had no inhibitory effects on the expression of GFP from the retrovirus vector. However, in cells expressing OCD1 and then infected with a VSV glycoprotein pseudotyped retrovirus, we observed a reduction in GFP expression compared to infected cells transfected with an empty vector (Supplementary Fig. 8b). These additional data indicate that the inhibition induced by ODC1 is specific to virus entry mediated by the different viral glycoproteins and not the inhibition of the reporter genes used in the entry assays.

The effect of ISGs on EBOV transcription/replication

Next, we tested the effect of ISG overexpression on EBOV transcription/replication in a firefly luciferase-based EBOV minireplicon system. Six ISGs (PFKFB3, MAP3K5, GBP2, DCP1A, CCDC92, and IFI6) significantly reduced viral replication/transcription in the EBOV minireplicon assay (Fig. 3b). ISG overexpression did not significantly reduce cell viability (Supplementary Fig. 9a) or the protein expression level of NP or VP35 (Supplementary Fig. 9b), suggesting that the reduced EBOV transcription/replication activity was specific and not due to ISG-mediated toxicity, general inhibition of cellular processes, or a reduction in viral protein expression. For each ISG, its overexpression was verified by western blot analysis (Supplementary Fig. 9b).

The effect of ISGs on EBOV virion formation and budding

The EBOV matrix protein VP40 has a central role in virus assembly and budding⁹. Expression of VP40 alone results in the formation of virus-like particles (VLPs), and co-expression of EBOV GP and NP results in the incorporation of these viral proteins into the VLPs and enhanced budding^35,36. To determine whether the ISGs tested here interfere with EBOV virion formation and budding, HEK-293T cells were transfected with expression vectors for EBOV VP40, GP, and NP together with expression vectors for each ISG or GFP (negative control). BST2 (tetherin) inhibits the formation of VLPs produced by VP40 alone¹⁸, providing a positive control for the inhibition of VP40-driven budding in our assay (note, GP was not overexpressed in the positive control because GP is known to counteract the antiviral activity of BST2¹⁸). As expected, BST2 substantially reduced the amount of VP40-driven VLPs (Fig. 3c, d). Of the ISGs tested, BTN3A3 appreciably decreased the level of VLPs in the cell supernatants (Fig. 3c, d). While not reducing the amount of VP40-driven VLPs in the cell supernatant, CCDC92 appreciably decreased the amount of NP incorporation into the VLPs (Fig. 3c, d). These data suggest that BTN3A3 and CCDC92 interfere with EBOV virion formation and/or budding. In each case, the overexpression of each ISG was verified by western blot analysis (Supplementary Fig. 10).

CCDC92 mRNA expression after IFN treatment

Given that the ISG, CCDC92 (Coiled-Coil Domain Containing 92), strongly inhibited EBOV infection (~600-fold reduction in virus titer; Fig. 1c), significantly inhibited virus replication/transcription (Fig. 3b), and significantly inhibited NP incorporation into virions (Fig. 3c, d), we selected CCDC92 for further mechanistic studies.

CCDC92 expression is predicted to be ubiquitous in human tissues, but especially high in the brain and male reproductive system (GeneCards database, Human Protein Atlas database). We assessed CCDC92 expression after induction by IFN treatments in various human cell lines and primary cells. Quantitative reverse transcription PCR analysis performed on two different qPCR systems showed that relative CCDC92 mRNA expression was increased by up to threefold after IFN treatment of astrocytes and human neural stem cells, and that higher mRNA expression levels under basal cell conditions (>2-fold increase compared with IFN-untreated Huh7.0 cells) were observed in four cell types: U-138MG (brain), HPAEC (lung), InMyoFib (intestine), and PC-3 (prostate) cells (Supplementary Fig. 11a, b).

NP–CCDC92 interaction

We hypothesized that CCDC92 interacts with NP and this interaction has a role in the anti-EBOV activity of CCDC92 by preventing the proper function of NP in the viral life cycle. To test this hypothesis, we first performed an immunoprecipitation assay using HEK-293T cell lysates expressing N-terminally FLAG-tagged CCDC92 (FLAG-CCDC92) with or without NP. We found that NP was efficiently co-precipitated with FLAG-CCDC92 captured by the anti-FLAG antibody (Fig. 4a). Next, we examined the cellular localization of NP and CCDC92. When only NP was expressed in HEK-293T cells, it formed small aggregates in the cytoplasm, while when only CCDC92 was expressed, it was distributed throughout the cytoplasm (Supplementary Fig. 12a). However, when NP and CCDC92 were co-expressed, the two proteins co-localized and formed large aggregates in the cytoplasm in which the peak signal intensity of NP [magenta line] corresponds to that of CCDC92 [green line] (Supplementary Fig. 12a). Consistent with this observation in transfected cells expressing NP and CCDC92 only, their co-localization was also detected in EBOV∆VP30-infected Huh7.0 VP30 cells that were transfected with a CCDC92 expression vector 24 h after infection (Fig. 4b) as cells expressing CCDC92 prior to infection substantially suppressed viral protein expression given the antiviral nature of CCDC92 (Supplementary Fig. 12b, c).

**Fig. 4: Interaction of CCDC92 with NP.**

Next, to identify the region of NP important for its binding to CCDC92, we generated two NP deletion mutants that lacked either the N-terminal lobe (amino acids [aa] 39–240) or the C-terminal lobe (aa 241–405) that are essential for NP oligomerization and RNA encapsidation^37,38,39,40. By using immunoprecipitation assays, we found that an NP mutant that lacked aa 39–240 (NP ∆39–240) did not co-precipitated with FLAG-CCDC92, whereas an NP mutant that lacked aa 241–405 (NP ∆241–405) was efficiently co-precipitated with FLAG-CCDC92 (Fig. 4c), suggesting that the N-terminal lobe of NP is required for the binding to CCDC92.

Likewise, to identify the region of CCDC92 important for binding to NP, we examined the interaction between NP and two CCDC92 deletion mutants, each lacking one of the two coiled-coil domains predicted by Jpred4. We found that a CCDC92 deletion mutant that lacked a coiled-coil domain from aa 81–151 (FLAG-CCDC92 ∆81–151) could not bind to NP, unlike the other CCDC92 deletion mutant that lacked a coiled-coil domain from aa 20–72 (FLAG-CCDC92 ∆20–72), which could bind to NP (Fig. 4d), suggesting that the C-terminal coiled-coil domain of CCDC92 is required for the binding to NP. Consistent with these findings, CCDC92 ∆20–72 clearly co-localized with NP in EBOV∆VP30-infected Huh7.0 VP30 cells, whereas the other deletion mutant, CCDC92 ∆81–151, remained diffusely distributed throughout the cytoplasm with less clear co-localization with NP (Supplementary Fig. 12d–e).

After identifying a CCDC92 deletion mutant that no longer interacted with NP, we next determined whether this mutant still had anti-EBOV activity. In HEK-293T VP30 cells expressing wild-type CCDC92 or the deletion mutant that still interacted with NP (CCDC92 ∆20–72), we still observed inhibition of virus infection as indicated by a reduction in virus-driven luciferase expression (Fig. 4e). However, in cells expressing the deletion mutant that no longer interacted with NP (CCDC92 ∆81–151), there was a loss of CCDC92-induced anti-EBOV activity (Fig. 4e). Western blot analysis confirmed the expression of each CCDC92 construct and VP30 before infection (Supplementary Fig. 13).

Inhibition of NP incorporation in VLPs by CCDC92

As we previously demonstrated, CCDC92 inhibits the incorporation of NP into VP40-driven VLPs (Fig. 3c, d). Incorporation of NP into VLPs requires the interaction of NP with VP40, which transports NP to the cell surface^41,42. When NP and VP40 were co-expressed by protein expression vectors in HEK-293T cells, their co-localization was observed on the cell surface (Fig. 5a); however, in the presence of CCDC92, NP co-localized with CCDC92 and NP–VP40 co-localization was not observed (Fig. 5a).

**Fig. 5: Inhibition of the NP–VP40 interaction and viral transcription by CCDC92.**

This result led us to examine whether CCDC92 inhibits the interaction between NP and VP40. The binding of NP to VP40 was detected by using an immunoprecipitation assay with HEK-293T cells expressing N-terminally FLAG-tagged NP (FLAG-NP) and VP40 (Fig. 5b). When CCDC92 was co-expressed with FLAG-NP and VP40, the binding of NP to VP40 was significantly disrupted by nearly 90% (Fig. 5b and Supplementary Fig. 14a). Surprisingly, CCDC92 ∆20–72, the deletion mutant that still interacted with NP, did not inhibit the interaction between NP and VP40, and neither did the other deletion mutant, CCDC92 ∆81–151 (Fig. 5b and Supplementary Fig. 14a). Moreover, neither CCDC92 deletion mutant inhibited the incorporation of NP into VP40-driven VLPs (Supplementary Fig. 14b). Interestingly, the CCDC92 deletion mutant (CCDC92 ∆20–72) that still interacted with NP in immunoprecipitation assays (Fig. 5b) and still had anti-EBOV activity in infected cells (Fig. 4e) was incorporated into the VLPs (Supplementary Fig. 14b).

Inhibition of EBOV transcription by CCDC92

To further examine the inhibition of EBOV transcription by CCDC92, we assessed the mRNA levels of viral NP in EBOV∆VP30-infected cells. NP is the most abundant mRNA transcript, and the most abundant viral protein in EBOV-infected cells⁴³. Compared with the empty vector control cells, NP mRNA levels were significantly reduced by nearly 90% in infected cells that overexpressed CCDC92 (Fig. 5c). As expected, BTN3A3 did not affect NP mRNA levels (Fig. 5c). In the same experimental setting, we confirmed the downstream reduction of viral protein levels by CCDC92 in infected cells compared with either the empty vector control or BTN3A3 (Fig. 5d).

To determine further whether CCDC92 inhibits viral transcription, we also assessed NP mRNA levels in EBOV∆VP30-infected cells in the presence or absence of cycloheximide (CHX), an inhibitor of protein synthesis. In cells treated with CHX (10–150 μg ml⁻¹), the expression of VP30 in HEK-293T cells was reduced, but still detectable by western blot analysis after 24 h of treatment (Supplementary Fig. 15a). In HEK-293T VP30 cells infected with EBOV∆VP30, CCDC92 still significantly reduced NP mRNA levels at 8 h and 24 h post infection even in cells treated with CHX (50 μg ml⁻¹) (Supplementary Fig. 15b; top panel without CHX treatment and bottom panel with CHX treatment). From these data, we can conclude that CCDC92 inhibits viral transcription. In a separate set of experiments, we confirmed the expression both CCDC92 and BTN3A3 in transfected cells prior to CHX treatment (Supplementary Fig. 15c).

Furthermore in the minireplicon assay, both wild-type CCDC92 and the deletion mutant that still interacted with NP (CCDC92 ∆20–72) significantly inhibited luciferase activity in the minireplicon assay, whereas the other CCDC92 deletion mutant that cannot interact with NP (CCDC92 ∆81–151) had no inhibitory effect (Fig. 5e); an antiviral effect similar to the one observed in EBOV∆VP30-infected cells (Fig. 4e). Western blot analysis confirmed the expression of each CCDC92 construct as well as that of the viral proteins in the minireplicon assay (Supplementary Fig. 16).

Mechanism of CCDC92 inhibition in viral transcription

The RNA genome is tightly encapsidated by NP oligomers and this encapsidated RNA serves as a template for EBOV replication/transcription^44,45. NP oligomerization and RNA binding occur simultaneously and synergistically⁴⁶, and these events are mediated by the N-terminal region of NP that includes the N-terminal arm (aa 19–38) and NP lobes (aa 39–405) including the C-terminal lobe of NP necessary for its interaction with CCDC92 (Fig. 4c). To further understand the mechanism by which CCDC92 inhibits NP function, we assessed the impact of CCDC92 on NP oligomerization. When we co-expressed C-terminally FLAG- and His-tagged NP (NP-FLAG and NP-His) with and without CCDC92 in HEK-293T cells and immunoprecipitated the cell lysates with anti-FLAG antibody, we found no difference in the interaction between the two tagged versions of NP, suggesting that CCDC92 does not interfere with NP oligomerization (Supplementary Fig. 17).

Next, to examine whether CCDC92 inhibits NP–RNA binding, we performed an RNA-immunoprecipitation assay (RNA-IP) to quantify the amount of NP bound to viral RNA. We found no significant difference between the amount of RNA bound to NP in the presence or absence of CCDC92, suggesting CCDC92 does not interfere with the interaction between NP and viral RNA (Supplementary Fig. 18a, b).

These observations led us to examine whether CCDC92 interacts with a complex of NP and viral RNA. HEK-293T cells expressing FLAG-CCDC92 and EBOV minireplicon RNA with or without NP were analyzed by using RNA-IP, as described above. In this case, we found that EBOV RNA was precipitated with FLAG-CCDC92 along with NP, suggesting the formation of a CCDC92–NP–RNA complex (Fig. 6a, b).

**Fig. 6: Interaction of CCDC92 with NP and viral-like RNA.**

Viral replication/transcription in EBOV-infected cells takes place in viral inclusion bodies, which consist of viral RNA, NP, VP35, VP30, and L^47,48,49,50. The finding that CCDC92 binds to an NP–RNA complex and inhibits viral RNA synthesis led us to hypothesize that the inhibition of NP function by CCDC92 may be associated with viral inclusion bodies. Therefore, we examined whether CCDC92 co-localizes with proteins that form inclusion bodies: NP, VP35, VP30, and HA-tagged L (L-HA). HEK-293T cells were transfected with vectors expressing the viral proteins (NP, VP35, VP30, and L-HA) and co-localization was detected by use of immunofluorescence microscopy using specific antibodies against each viral protein or an antibody against the HA-tag in the case of the viral L protein. When co-expressed, CCDC92 co-localized with all four viral proteins involved in inclusion body formation (Fig. 6c). The co-localization of NP and CCDC92 with viral proteins that are involved in inclusion body formation was also observed with the CCDC92 deletion mutant that interacts with NP (CCDC92 ∆20–72; Supplementary Fig. 19a). But the deletion mutant that does not interact with NP and does not have antiviral activity (CCDC92 ∆81–151) showed more diffuse cytoplasmic staining and less clear co-localization with NP in these inclusion body-like structures (Supplementary Fig. 19b), similar to the pattern observed in infected cells (Supplementary Fig. 12d–e).

We also showed the formation of a complex comprising CCDC92, NP, and VP35 (a viral polymerase co-factor) by co-immunoprecipitation that was dependent on NP for the incorporation of VP35 into this complex (Fig. 6d). Taken together, these results suggest that the interaction of CCDC92 with NP bound to RNA and VP35, which may occur within inclusion bodies or before NP begins inclusion body formation, most likely disrupts functional viral replication/transcription protein complexes.

Discussion

Our ISG library screen identified cellular proteins involved in the host restriction of EBOV∆VP30 infection; the potential of these proteins to inhibit wild-type EBOV still needs to be investigated. Overexpression of 21 ISGs caused a statistically significant reduction in luciferase expression levels (p-value ≤ 0.05) and overexpression of one additional ISG (IFI6; p-value = 0.075) caused a marked reduction in luciferase levels (Fig. 1a, b). Several of these 22 ISGs have established roles in the innate immune response to viruses, including interferon regulatory factor 1 (IRF1)^15,51,52, interferon regulatory factor 7 (IRF7)⁵³, interferon induced with helicase c domain 1 (IFIH1/MDA5)⁵⁴, and guanylate binding protein 2 (GBP2)⁵⁵. In addition, overexpression of interferon alpha-inducible protein 6 (IFI6) and CD9 has been shown to inhibit yellow fever virus, West Nile virus, and dengue virus^{15,19,20,28,56}. Moreover, interferon-induced transmembrane protein 3 (IFITM3) has been shown to inhibit EBOV entry³³, demonstrating the potency of our screen to reveal ISGs with antiviral properties.

We chose the top 10 ISGs (summarized in Supplementary Table 1) that had the greatest impact on EBOV∆VP30 infection without causing non-specific effects on cellular function or viability for in-depth analyses. These ISGs were tested for their ability to inhibit EBOV∆VP30 growth kinetics. All 10 ISGs significantly attenuated EBOV∆VP30 growth on day 6 post infection (Fig. 1c) and could function in even primary cells (Supplementary Fig. 3). Endogenous BTN3A3 induced by IFNγ was shown to contribute to this anti-EBOV activity (Fig. 2 and Supplementary Fig. 5). These findings suggest that the top 10 ISGs identified in our screen may represent targets for anti-EBOV therapy.

The ISG CCDC92 was of particular interest because it inhibited viral transcription/replication by more than 70% in a minireplicon assay (Figs. 3b and 5e) and reduced the amount of NP incorporated into VLPs by nearly 80% with no significant effect on the amount of VP40 or GP incorporated into the VLPs (Fig. 3c, d and Supplementary Fig. 14b). Our data suggest that the inhibitory effects of CCDC92 on these two steps in the virus life cycle stem from its interaction with NP (Fig. 4a). Moreover, by binding to and retaining NP in the cytoplasm, CCDC92 inhibits the interaction between NP and VP40 (Fig. 5a, b), which is essential for the transport of NP to the cell surface⁴².

In regards to viral replication/transcription, we were able to confirm that the overexpression of CCDC92 inhibited viral mRNA transcription and the overall levels of viral proteins in infected cells (Fig. 5c, d and Supplementary Fig. 15). We found that the N-terminal lobe of NP (aa 39–240), which composes an RNA-binding groove essential for NP oligomerization and RNA encapsidation^37,38,39,40, is necessary for the interaction with CCDC92 (Fig. 4c); however CCDC92 does not inhibit the interaction of NP with itself or the interaction of NP with viral RNA (Supplementary Figs. 17 and 18, respectively). Instead, our data suggest that CCDC92 forms a complex with viral RNA-bound NP (Fig. 6). It remains unclear whether CCDC92 can target the incoming genomic RNA bound to NP and other viral proteins of the viral transcription/replication machinery (i.e., VP35, VP30, VP24, and L^8,10,57,58) after uncoating in the cytoplasm, where RNA/NP/CCDC92 complex formation occurs. However, CCDC92 clearly inhibits viral transcription, which is mediated through the C-terminal coiled-coil domain of CCDC92 (aa 81–151) that is necessary for the interaction with NP (Figs. 4d, 5e, and Supplementary Fig. 12d, e), as supported by the finding that CCDC92 viral mRNA and protein expression in infected cells (Fig. 5c, d and Supplementary Fig. 15).

EBOV replication and transcription occur in inclusion bodies, which have been observed at about 10 h post infection^47,59. We showed the co-localization of CCDC92 within these inclusion bodies formed by NP, VP35, VP30, and the viral RNA polymerase, L through NP (Fig. 6c and Supplementary Fig. 19a, b). Furthermore, we found an indirect interaction between CCDC92 and VP35 through NP (Fig. 6d). VP35 is a polymerase co-factor that forms an active polymerase complex with L, bridging NP and L to allow the polymerase complex to access the RNA genome^8,57. Taken together, our results imply that CCDC92 inhibits EBOV transcription by binding to the polymerase complex via NP bound to viral RNA in the inclusion bodies.

CCDC92 mRNA expression was induced by IFN treatment in astrocytes and human neural stem cells, and relatively high mRNA expression levels under basal cell conditions were observed in four cell types from brain, lung, intestine, and prostate (Supplementary Fig. 11). Although EBOV antigens have been described in these tissues, non-significant or mild inflammation during EBOV infection in these tissues has been reported^29,60. This may suggest that CCDC92 has a role in cell susceptibility to EBOV or tissue tropism during infection.

In summary, we identified several ISGs with previously unknown antiviral activity against EBOV whose overexpression significantly inhibited EBOV∆VP30 growth. These findings may help identify targets for the development of antivirals to combat EBOV infection.

Methods

Cells

Vero VP30 cells (African green monkey kidney cells stably expressing EBOV VP30) were established as previously described²⁶. Vero VP30 cells were grown in Eagle’s minimal essential medium (MEM) supplemented with 10% fetal bovine serum (FBS), l-glutamine, vitamins, nonessential amino acid solution, and antibiotics. HEK-293T VP30 cells (human embryonic kidney cells stably expressing the SV40 T-antigen and EBOV VP30), HEK-293T VP30/L cells (human embryonic kidney cells stably expressing EBOV VP30 and EBOV L), and Huh7.0 VP30 (human hepatocarcinoma cells stably expressing EBOV VP30) were established in a similar manner as Vero VP30 cells²⁶.

HeLa VP30 cells (human cervical cancer cells stably expressing EBOV VP30) and HeLa VP30/BTN3A3 (human cervical cancer cells stably expressing EBOV VP30 and BTN3A3) were generated as follows: a cDNA fragment encoding EBOV VP30 or BTN3A3 was cloned into the murine leukemia virus (MLV)-based retroviral vectors pMXs-IRES-Neo (pMXs-IN) and pMXs-IRES-Puro (pMXs-IP) (Cell Biolabs), respectively. To generate the retrovirus, Plat-GP cells (Cell Biolabs) were co-transfected with pMXs-IN encoding EBOV VP30 or pMXs-IP encoding BTN3A3 along with an expression vector for VSV-G by using Lipofectamine 2000 (Invitrogen). Two days later, the culture supernatants containing the retroviruses were collected, clarified through 0.45-μm-pore filters, and then used to infect Hela cells. Stable cells were selected with 500 μg ml⁻¹ G418 (InvivoGen) with or without 2 μg ml⁻¹ puromycin (InvivoGen).

All HEK-293T cell lines (wild-type, VP30, or VP30/L), Huh7.0 cell lines (wild-type or VP30), and HeLa cell lines (wild-type, VP30, or VP30/BTN3A3) were grown in high-glucose Dulbecco’s modified Eagle’s medium (DMEM) containing 10% FBS, l-glutamine, antibiotics, and appropriate selection drugs. All cells were maintained at 37 °C and 5% CO₂.

Viruses

EBOV∆VP30 expressing GFP (EBOV∆VP30-GFP) or Renilla luciferase (EBOV∆VP30-luc) instead of the viral VP30 gene were propagated in Vero VP30 cells using propagation medium similar to cell growth medium, but supplemented with only 2% FBS²⁶. The use of EBOV∆VP30 viruses in BSL-2 containment at the University of Wisconsin is approved by the Institutional Biosafety Committee, the NIH, and the CDC. A VSV possessing the firefly luciferase gene in place the VSV-G gene and pseudotyped with EBOV GP (VSV-EBOV GP) and a control luciferase-expressing VSV containing only VSV-G (VSV-G) were prepared⁷. To generate VSV-EBOV GP, HEK-293T cells were transfected for 24 h with an EBOV GP expression vector and then were infected with VSV-G at an MOI of >1.0. Supernatant was collected at 24 h post infection, clarified through 0.45-μm-pore filters, and then used for the entry assay.

ISG screen

For the primary screen, we obtained a cDNA library of 389 ISGs that was previously described¹⁵. HEK-293T VP30 cells were seeded into poly d-lysine-coated 24-well plates (Bio-Coat). Cells were transfected in duplicate for 24 h with 0.25 μg of each ISG protein expression vector or a control vector encoding a red fluorescent protein by using Lipofectamine 2000 (Life Technologies) and were then infected with Ebola∆VP30-luc virus at an MOI of 1.0. Two days post infection, cells were lysed with 300 µl of 1× Glo-lysis buffer (Promega) and analyzed for Renilla luciferase activity by using the Renilla luciferase assay system (Promega) according to the manufacturer’s instructions. Expression of the top 10 ISGs selected for further characterization was confirmed by western blotting (Supplementary Fig. 20). The IFI6 gene was C-terminally tagged with FLAG, inserted into the LentiX and pCAGGS vectors, and then used for the assays.

Assessment of viral titers

To validate the antiviral activity of the candidate ISGs, the ISGs were cloned into the pCAGGS protein expression vector²⁶. We then transfected HEK-293T VP30 cells for 24 h with the pCAGGS-ISG expression vectors (0.25 μg each) or a control vector encoding GFP by using TransIT-LT1 (Mirus). Cells were then infected with EBOV∆VP30-GFP virus at an MOI of 0.0001. Supernatants were harvested on days 3 and 6 post infection, and viral titers were determined by means of focus forming assay²⁶. Briefly, 10-fold dilutions of the virus in the supernatant were absorbed to confluent Vero VP30 cells for 1 h at 37 °C. Unbound virus was removed by washing with culture medium. The cells were then overlaid with medium containing 1.5% methylcellulose (Sigma). After a 7-day incubation, the cells were fixed with 10% buffered formaldehyde, and permeabilized with 0.25% Triton X-100 (Sigma) for 15 min. The cells were then incubated overnight at 4 °C with a mouse anti-VP40 monoclonal antibody (1:1000, cl. 6), followed by a 2-h incubation with an anti-mouse secondary antibody coupled to horseradish peroxidase (1:2000, G21040, Life Technologies). After washing with PBS, the cells were incubated with 3,3-diaminobenzidine tetrahydrochloride (Sigma) in PBS. The reaction was stopped by rinsing with water.

Assessment of cell entry

To examine cell entry mediated by EBOV GP, HEK-293T cells were seeded into 24-well tissue culture plates and transfected for 24 h with individual ISG protein expression vectors (0.25 μg), a negative control vector (0.25 μg), or a vector encoding IFITM3 (0.25 μg) by using TransIT-LT1 (Mirus). A neutralizing monoclonal antibody against the VSV-G protein (cl. I-1) was used to abolish the background infectivity of parental VSV-G virus in the virus stock of VSV-EBOV GP. Cells were then infected with VSV-EBOV GP virus or VSV-G virus at an MOI of 0.5. Twenty-four hours later, cells were lysed with 300 µl of 1× Glo-lysis buffer (Promega) and analyzed for firefly luciferase activity by using the Steady-Glo luciferase assay system (Promega) according to the manufacturer’s instructions.

Assessment of viral polymerase activity

To examine viral polymerase activity, a luciferase activity-based EBOV minireplicon assay was performed as described previously⁶¹. Briefly, HEK-293T VP30/L cells were seeded into 24-well tissue culture plates and co-transfected with two EBOV protein expression vectors [pCAGGS EBOV NP (0.05 μg) and pCAGGS EBOV VP35 (0.05 μg)], an EBOV minireplicon vector encoding firefly luciferase under the control of the RNA polymerase I promoter (EBOV pol-luc, 0.2 µg), and a Renilla luciferase protein expression vector (0.002 μg) as an internal control. To test the effect of ISG expression on EBOV polymerase activity, cells were co-transfected with vectors encoding individual ISGs (0.3 μg). Two days after transfection, cells were lysed in 300 µl of 1× Glo-lysis buffer (Promega) and analyzed for firefly and Renilla luciferase activities by using the dual-luciferase reporter assay system (Promega) according to the manufacturer’s instructions.

Assessment of virus-like particle (VLP) formation

To evaluate the effect of ISG expression on VP40-mediated budding or the formation of VLPs, 293T cells were seeded in 12-well plates for 24 h and then co-transfected with three Ebola viral protein expression vectors [pCAGGS EBOV VP40 (0.1 μg), pCAGGS EBOV GP (0.1 μg), pCAGGS EBOV NP (0.1 μg)], and an expression vector encoding an ISG (0.3 μg) by using TransIT-LT1 (Mirus). As a positive control for inhibition of VLP formation, cells were transfected with pCAGGS EBOV VP40 (0.3 μg) and pCAGGS BST2/tetherin (0.3 μg) only. Two days after transfection, cell supernatants containing VLPs were harvested and centrifuged through 20% sucrose for 1.5 h at 27,000 rpm. Cell lysates were also harvested and, in parallel with the VLP pellets, resuspended in 1× Laemmli sample buffer containing 5% β-mercaptoethanol for subsequent western blot analysis with mouse anti-EBOV VP40 (1:000, cl. 6) and anti-EBOV GP (1:1000, 254/3.12) antibodies, as well as a rabbit anti-EBOV NP (1:1000, R5071) antibody.

Western blot analysis

Cells were washed with PBS and treated with lysis buffer (1% NP-40, 50 mM Tris-HCl [pH 7.4], 150 mM NaCl, 0.25% sodium deoxycholate, with/without 0.1% SDS) containing protease inhibitor cocktail (Sigma). Cell lysates were mixed with an equal volume of 2× Laemmli sample buffer (Bio-Rad) containing 5% β-mercaptoethanol and then incubated at 95 °C for 10 min. Samples were resolved by SDS-PAGE onto a 4–20% SDS-polyacrylamide gel (Life Technologies). After electrophoresis, proteins were transferred onto a polyvinylidenedifluoride membrane (Life Technologies) and blocked for 1 h at room temperature with 5% skim milk/TBS solution containing 0.05% Tween-20 (TBS-T; Sigma). Membranes were incubated overnight at 4 °C with the primary antibodies against EBOV VP40 (1:1000, cl. 6), EBOV GP (1:1000, cl. 254/3.12), EBOV NP (1:1000, R5071), EBOV VP35 (1:1000, cl. 1), EBOV VP30 (1:1000, cl. 3), EBOV VP24 (1:1000, cl. 21-5.2.5), alpha-tubulin (1:1000, ab7291, Abcam), PFKFB3 (1:1000, 13132, Cell signaling technology), ODC1 (1:1000, TA501546, Origene), MAP3K5 (1:1000, 8662, Cell signaling technology), AKT3 (1:1000, 3788, Cell signaling technology), GBP2 (1:1000, TA500657, Origene), DCP1A (1:1000, D5444, Sigma), BTN3A3 (1:1000, HPA007904, Sigma), CCDC92 (1:1000, ab104028, Abcam), FLT1 (1:1000, TA303515, Origene), FLAG tag (1:2000, M2, Sigma), and His tag (1:1000, D3I1O, Cell signaling technology). Membranes were then incubated for 1 h with the following secondary antibodies coupled to horseradish peroxidase: a goat anti-mouse IgG (1:3000, G21040, Life Technologies), a goat anti-rabbit IgG (1:3000, G21234, Life Technologies), or a goat anti-rat IgG (1:3000, A10549, Life Technologies). Bound antibody was detected with SuperSignal Pico, Dura, or Femto chemiluminescence reagent (Thermo Scientific) and a FluorChem HD2 imager (Alpha Innotech).

Cell viability assay

Cell viability was assessed by using the Non-Radioactive Cell Proliferation Assay (Promega) or Cell Titer-Glo (Promega) according to the manufacturer’s protocol. Absorbance and luminescence were measured on a Tecan M1000 plate reader.

Transfection of siRNA

Human BTN3A3 siRNAs (Hs_BTN3A3_1 and Hs_BTN3A3_4) and a negative control siRNA (All Star Negative Control siRNA) were purchased from Qiagen. Cells were seeded in 24-well tissue culture plates at 1.0 × 10⁵ cells per well 1–2 h prior to transfection. Each siRNA (5 pmol) was mixed with 1.5 μl of Lipofectamine RNAiMAX reagent (Invitrogene) in 50 μl of Opti-MEM (Life Technologies) and then incubated for 10 min. The mixture was then added to the wells. After a 48-h incubation, the culture medium was replaced with fresh medium with or without IFNγ (Roche). Knockdown efficiency was evaluated at 72 h post transfection by use of qRT-PCR. EBOV∆VP30 infection was performed at an MOI of 0.01 at 72 h post transfection and then cells were cultured in the presence or absence of IFNγ. Supernatants were harvested on day 2 post infection, followed by virus titration.

Quantitative reverse transcription PCR (qRT-PCR)

RNA extraction was carried out with an RNeasy Mini Kit (Qiagen). Approximately 400–600 ng of total RNA was reverse-transcribed into cDNA using a QuantiTect Reverse Transcription Kit (Qiagen) (for EBOV NP, oligo dT primer was used). The cDNA was amplified and analyzed by using PowerUp SYBR Green Master Mix (Life Technologies) on QuantStudio 6 Flex (Applied Biosystems) following the manufacturer’s protocol. The prime sequences were as follows: 5′- TTGACAGCAGGTCTGTCCGTTCAA-3′ (forward primer targeting EBOV NP gene), 5′- AACAACTGCTTCAAAGGCCTGTA-3′ (reverse primer targeting EBOV NP gene), 5′- ATCTCCTACCTTGGCGACCT-3′ (forward primer targeting EBOV minireplicon), and 5′- GTTTGTGATGCCATCCGACG-3′ (reverse primer targeting EBOV minireplicon). Primers targeting the TATA box-binding protein (TBP) gene, which was used as an internal control gene, were designed and synthesized commercially by Qiagen. The results are expressed as fold-changes normalized to TBP gene expression by using the ∆∆Ct method.

Immunofluorescence assay

HEK-293T cells and Huh7.0 VP30 were fixed with 4% paraformaldehyde for 15 min at room temperature and permeabilized with 0.25% Triton X-100 for 15 min. After being blocked with 1% BSA in PBS, the cells were incubated with the following primary antibodies: a mouse anti-NP monoclonal antibody (1:200, cl. 7-47-18), a rabbit anti-NP polyclonal antibody (1:200, R5071), a mouse anti-GP monoclonal antibody (1:200, cl. 226/8.1), a mouse anti-VP40 monoclonal antibody (1:200, cl. 6), a mouse anti-VP30 monoclonal antibody (1:200, cl. 19), a mouse anti-VP35 monoclonal antibody (1:200, cl. 5-82-6.3), a rat anti-HA monoclonal antibody 3F10 (1:200, Roche), a mouse anti-FLAG monoclonal antibody M2 (1:200, Sigma), a rat anti-FLAG monoclonal antibody (1:200, SAB4200071, Sigma), or a rabbit anti-CCDC92 polyclonal antibody (1:200, ab104028, Abcam). Cells were washed three times with PBS and incubated with 4′,6-diamidino-2-phenylindole (DAPI) and the following secondary antibodies: a goat anti-mouse IgG–Alexa Fluor 488 (1:200, A11029, Life Technologies), a goat anti-rabbit IgG–Alexa Fluor 488 (1:200, A11034, Life Technologies), a goat anti-mouse IgG–Alexa Fluor 546 (1:200, A11030, Life Technologies), a goat anti-rabbit IgG–Alexa Fluor 546 (1:200, A11035, Life Technologies), a goat anti-rat IgG–Alexa Fluor 546 (1:200, A11081, Life Technologies), or a goat anti-rat IgG–Alexa Fluor 633 (1:200, A21094, Life Technologies). Stained samples were analyzed using an LSM 510 META confocal microscope (Carl Zeiss) with ZEN 2009 software (Carl Zeiss). HA-tagged L gene was constructed by inserting an HA-tag (YPYDVPDYA) between nucleotides 5115 and 5116 (amino acids P1705 and Q1706) in a putative linker region^47,49 using a PCR-based approach.

Co-immunoprecipitation assay

The CCDC92 gene was N-terminally tagged with FLAG and inserted into a pCAGGS expression vector. The deletion mutants of CCDC92 and NP were constructed using a PCR-based approach. HEK-293T cells were transfected with the indicated expression vectors using TransIT-LT1 (Mirus). Two days after transfection, cells were washed once with PBS and treated for 30 min with lysis buffer (0.1% SDS, 1% NP-40, 50 mM Tris-HCl [pH 7.4], 150 mM NaCl, 0.25% sodium deoxycholate) containing protease inhibitor cocktail (Sigma) to prepare whole-cell extract (WCE). Cell extracts were mixed with pre-conjugated anti-FLAG M2 magnetic beads (Sigma) and incubated on a rotator at 4 °C overnight. The next day, the magnetic beads were washed three times with lysis buffer. The bound proteins were eluted with excess FLAG peptide (Sigma) and analyzed by SDS-PAGE followed by immunoblotting with the indicated antibodies.

RNA-immunoprecipitation assay

HEK-293T cells were transfected with the EBOV minireplicon vector and the indicated protein expression vectors by using TransIT-LT1 (Mirus). Two days after transfection, cells were washed once with PBS and treated for 30 min with lysis buffer (0.1% SDS, 1% NP-40, 50 mM Tris-HCl [pH 7.4], 150 mM NaCl, 0.25% sodium deoxycholate) containing protease inhibitor cocktail (Sigma). Cell extracts were mixed with pre-conjugated anti-FLAG M2 magnetic beads (Sigma) and incubated on a rotator at 4 °C overnight. The next day, the magnetic beads were washed three times with lysis buffer. The bound proteins were eluted with excess FLAG peptide (Sigma). RNA was extracted from cell lysates with the RNeasy Mini Kit (Qiagen), reverse-transcribed using QuantiTect Reverse Transcription Kit (Qiagen), and then analyzed by qRT-PCR.

Statistics and reproducibility

Statistical analysis was conducted using R v3.1.1 and Microsoft Excel 2016. To determine which ISGs significantly attenuated EBOV-driven luciferase expression in the primary ISG screen, we fitted a linear model for a balanced design to the data (function aov), comparing the ISGs and the negative control. Next, we used the package multcomp to build a contrast matrix comparing each ISG to the control, and compared them using Dunnett’s test with a one-sided alternative hypothesis (i.e., that overexpression of the ISG resulted in a lower signal than the control; function glht). Finally, we adjusted the p-values to account for family-wise errors using Holm’s method. Adjusted p-values smaller than 0.05 were considered statistically significant. For all other data, the Student’s two-tailed, paired, and unpaired t-test was used to assess statistical differences between samples. Significance levels were set at p ≤ 0.05. Unless otherwise stated, all experiments were performed independently at least three times with similar results obtained each time.

Reporting summary

Further information on research design is available in the Nature Research Reporting Summary linked to this article.

Data availability

The source data underlying Figs. 1–3, 4 (except 4b), 5 (except 5a), and 6 (except 6c), and Supplementary Figs. 1–11, 12c, 13–18, and 20 are provided as a Source Data file. All of the other data, such as immunofluorescence images supporting the findings of this study, are available within the article, supplementary information files, and from the corresponding authors upon reasonable request. Information on the prediction of CCDC92 gene expression in human tissues is available from the GeneCards database and the Human Protein Atlas database. Information on the predicted coiled-coil domains of CCDC92 is available from Jpred4. Source data are provided with this paper.

References

Baize, S. et al. Defective humoral responses and extensive intravascular apoptosis are associated with fatal outcome in Ebola virus-infected patients. Nat. Med. 5, 423–426 (1999).
Article CAS PubMed Google Scholar
Goldstein, T. et al. The discovery of Bombali virus adds further support for bats as hosts of ebolaviruses. Nat. Microbiol. 3, 1084–1089 (2018).
Article CAS PubMed PubMed Central Google Scholar
Amarasinghe, G. K. et al. Taxonomy of the order Mononegavirales: update 2018. Arch. Virol. 164, 1233–1244 (2018).
World Health Organization. Ebola Situation Report — 30 March 2016, http://apps.who.int/ebola/current-situation/ebola-situation-report-30-march-2016 (WHO, 2016).
World Health Organization. Ebola Situation Report — 12 December 2018, https://www.who.int/ebola/situation-reports/drc-2018/en/ (WHO, 2018).
Wool-Lewis, R. J. & Bates, P. Characterization of Ebola virus entry by using pseudotyped viruses: identification of receptor-deficient cell lines. J. Virol. 72, 3155–3160 (1998).
Article CAS PubMed PubMed Central Google Scholar
Takada, A. et al. A system for functional analysis of Ebola virus glycoprotein. Proc. Natl Acad. Sci. USA 94, 14764–14769 (1997).
Article ADS CAS PubMed PubMed Central Google Scholar
Muhlberger, E., Weik, M., Volchkov, V. E., Klenk, H. D. & Becker, S. Comparison of the transcription and replication strategies of marburg virus and Ebola virus by using artificial replication systems. J. Virol. 73, 2333–2342 (1999).
Article CAS PubMed PubMed Central Google Scholar
Panchal, R. G. et al. In vivo oligomerization and raft localization of Ebola virus protein VP40 during vesicular budding. Proc. Natl Acad. Sci. USA 100, 15936–15941 (2003).
Article ADS CAS PubMed PubMed Central Google Scholar
Huang, Y., Xu, L., Sun, Y. & Nabel, G. J. The assembly of Ebola virus nucleocapsid requires virion-associated proteins 35 and 24 and posttranslational modification of nucleoprotein. Mol. Cell 10, 307–316 (2002).
Article PubMed Google Scholar
Hoenen, T. et al. Infection of naive target cells with virus-like particles: implications for the function of ebola virus VP24. J. Virol. 80, 7260–7264 (2006).
Article CAS PubMed PubMed Central Google Scholar
Basler, C. F. et al. The Ebola virus VP35 protein inhibits activation of interferon regulatory factor 3. J. Virol. 77, 7945–7956 (2003).
Article CAS PubMed PubMed Central Google Scholar
Reid, S. P. et al. Ebola virus VP24 binds karyopherin alpha1 and blocks STAT1 nuclear accumulation. J. Virol. 80, 5156–5167 (2006).
Article CAS PubMed PubMed Central Google Scholar
de Veer, M. J. et al. Functional classification of interferon-stimulated genes identified using microarrays. J. Leukoc. Biol. 69, 912–920 (2001).
PubMed Google Scholar
Schoggins, J. W. et al. A diverse range of gene products are effectors of the type I interferon antiviral response. Nature 472, 481–485 (2011).
Article ADS CAS PubMed PubMed Central Google Scholar
Stetson, D. B. & Medzhitov, R. Type I interferons in host defense. Immunity 25, 373–381 (2006).
Article CAS PubMed Google Scholar
Schumann, M., Gantke, T. & Muhlberger, E. Ebola virus VP35 antagonizes PKR activity through its C-terminal interferon inhibitory domain. J. Virol. 83, 8993–8997 (2009).
Article PubMed PubMed Central CAS Google Scholar
Kaletsky, R. L., Francica, J. R., Agrawal-Gamse, C. & Bates, P. Tetherin-mediated restriction of filovirus budding is antagonized by the Ebola glycoprotein. Proc. Natl Acad. Sci. USA 106, 2886–2891 (2009).
Article ADS CAS PubMed PubMed Central Google Scholar
Schoggins, J. W. & Rice, C. M. Interferon-stimulated genes and their antiviral effector functions. Curr. Opin. Virol. 1, 519–525 (2011).
Article CAS PubMed PubMed Central Google Scholar
Li, J. et al. A short hairpin RNA screen of interferon-stimulated genes identifies a novel negative regulator of the cellular antiviral response. MBio 4, e00385–00313 (2013).
CAS PubMed PubMed Central Google Scholar
Liu, S. Y., Sanchez, D. J., Aliyari, R., Lu, S. & Cheng, G. Systematic identification of type I and type II interferon-induced antiviral factors. Proc. Natl Acad. Sci. USA 109, 4239–4244 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Metz, P. et al. Identification of type I and type II interferon-induced effectors controlling hepatitis C virus replication. Hepatology 56, 2082–2093 (2012).
Article CAS PubMed Google Scholar
Schoggins, J. W. et al. Pan-viral specificity of IFN-induced genes reveals new roles for cGAS in innate immunity. Nature 505, 691–695 (2014).
Article ADS CAS PubMed Google Scholar
Dittmann, M. et al. A serpin shapes the extracellular environment to prevent influenza A virus maturation. Cell 160, 631–643 (2015).
Article CAS PubMed PubMed Central Google Scholar
Kane, M. et al. Identification of interferon-stimulated genes with antiretroviral activity. Cell Host Microbe 20, 392–405 (2016).
Article CAS PubMed PubMed Central Google Scholar
Halfmann, P. et al. Generation of biologically contained Ebola viruses. Proc. Natl Acad. Sci. USA 105, 1129–1133 (2008).
Article ADS CAS PubMed PubMed Central Google Scholar
Halfmann, P. et al. Replication-deficient ebolavirus as a vaccine candidate. J. Virol. 83, 3810–3815 (2009).
Article CAS PubMed PubMed Central Google Scholar
Park, G. H. et al. Association between interferon-inducible protein 6 (IFI6) polymorphisms and hepatitis B virus clearance. Genomics Inf. 11, 15–23 (2013).
Article Google Scholar
Martines, R. B., Ng, D. L., Greer, P. W., Rollin, P. E. & Zaki, S. R. Tissue and cellular tropism, pathology and pathogenesis of Ebola and Marburg viruses. J. Pathol. 235, 153–174 (2015).
Article CAS PubMed Google Scholar
Dyall, J. et al. Interferon-beta and Interferon-gamma are weak inhibitors of ebola virus in cell-based assays. J. Infect. Dis. 215, 1416–1420 (2017).
Article CAS PubMed PubMed Central Google Scholar
Rhein, B. A. et al. Interferon-gamma Inhibits Ebola Virus Infection. PLoS Pathog. 11, e1005263 (2015).
Article PubMed PubMed Central CAS Google Scholar
Moller-Tank, S. & Maury, W. Ebola virus entry: a curious and complex series of events. PLoS Pathog. 11, e1004731 (2015).
Article PubMed PubMed Central CAS Google Scholar
Huang, I. C. et al. Distinct patterns of IFITM-mediated restriction of filoviruses, SARS coronavirus, and influenza A virus. PLoS Pathog. 7, e1001258 (2011).
Article CAS PubMed PubMed Central Google Scholar
Weidner, J. M. et al. Interferon-induced cell membrane proteins, IFITM3 and tetherin, inhibit vesicular stomatitis virus infection via distinct mechanisms. J. Virol. 84, 12646–12657 (2010).
Article CAS PubMed PubMed Central Google Scholar
Licata, J. M., Johnson, R. F., Han, Z. & Harty, R. N. Contribution of ebola virus glycoprotein, nucleoprotein, and VP24 to budding of VP40 virus-like particles. J. Virol. 78, 7344–7351 (2004).
Article CAS PubMed PubMed Central Google Scholar
Noda, T. et al. Ebola virus VP40 drives the formation of virus-like filamentous particles along with GP. J. Virol. 76, 4855–4865 (2002).
Article CAS PubMed PubMed Central Google Scholar
Watanabe, S., Noda, T. & Kawaoka, Y. Functional mapping of the nucleoprotein of Ebola virus. J. Virol. 80, 3743–3751 (2006).
Article CAS PubMed PubMed Central Google Scholar
Noda, T., Hagiwara, K., Sagara, H. & Kawaoka, Y. Characterization of the Ebola virus nucleoprotein-RNA complex. J. Gen. Virol. 91, 1478–1483 (2010).
Article CAS PubMed PubMed Central Google Scholar
Dong, S. et al. Insight into the Ebola virus nucleocapsid assembly mechanism: crystal structure of Ebola virus nucleoprotein core domain at 1.8 A resolution. Protein Cell 6, 351–362 (2015).
Article CAS PubMed PubMed Central Google Scholar
Sugita, Y., Matsunami, H., Kawaoka, Y., Noda, T. & Wolf, M. Cryo-EM structure of the Ebola virus nucleoprotein-RNA complex at 3.6 A resolution. Nature 563, 137–140 (2018).
Article ADS CAS PubMed Google Scholar
Noda, T., Watanabe, S., Sagara, H. & Kawaoka, Y. Mapping of the VP40-binding regions of the nucleoprotein of Ebola virus. J. Virol. 81, 3554–3562 (2007).
Article CAS PubMed PubMed Central Google Scholar
Noda, T. et al. Assembly and budding of Ebolavirus. PLoS Pathog. 2, e99 (2006).
Article PubMed PubMed Central CAS Google Scholar
Muhlberger, E. Filovirus replication and transcription. Future Virol. 2, 205–215 (2007).
Article PubMed PubMed Central Google Scholar
Bharat, T. A. et al. Structural dissection of Ebola virus and its assembly determinants using cryo-electron tomography. Proc. Natl Acad. Sci. USA 109, 4275–4280 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Wan, W. et al. Structure and assembly of the Ebola virus nucleocapsid. Nature 551, 394–397 (2017).
Article ADS CAS PubMed PubMed Central Google Scholar
Kirchdoerfer, R. N., Abelson, D. M., Li, S., Wood, M. R. & Saphire, E. O. Assembly of the Ebola virus nucleoprotein from a chaperoned VP35 complex. Cell Rep. 12, 140–149 (2015).
Article CAS PubMed PubMed Central Google Scholar
Hoenen, T. et al. Inclusion bodies are a site of ebolavirus replication. J. Virol. 86, 11779–11788 (2012).
Article CAS PubMed PubMed Central Google Scholar
Boehmann, Y., Enterlein, S., Randolf, A. & Muhlberger, E. A reconstituted replication and transcription system for Ebola virus Reston and comparison with Ebola virus Zaire. Virology 332, 406–417 (2005).
Article CAS PubMed Google Scholar
Groseth, A. et al. The Ebola virus ribonucleoprotein complex: a novel VP30-L interaction identified. Virus Res. 140, 8–14 (2009).
Article CAS PubMed Google Scholar
Trunschke, M. et al. The L-VP35 and L-L interaction domains reside in the amino terminus of the Ebola virus L protein and are potential targets for antivirals. Virology 441, 135–145 (2013).
Article CAS PubMed Google Scholar
Brien, J. D. et al. Interferon regulatory factor-1 (IRF-1) shapes both innate and CD8(+) T cell immune responses against West Nile virus infection. PLoS Pathog. 7, e1002230 (2011).
Article CAS PubMed PubMed Central Google Scholar
Pflugheber, J. et al. Regulation of PKR and IRF-1 during hepatitis C virus RNA replication. Proc. Natl Acad. Sci. USA 99, 4650–4655 (2002).
Article ADS CAS PubMed PubMed Central Google Scholar
Daffis, S. et al. Interferon regulatory factor IRF-7 induces the antiviral alpha interferon response and protects against lethal West Nile virus infection. J. Virol. 82, 8465–8475 (2008).
Article CAS PubMed PubMed Central Google Scholar
Nasirudeen, A. M. et al. RIG-I, MDA5 and TLR3 synergistically play an important role in restriction of dengue virus infection. PLoS Negl. Trop. Dis. 5, e926 (2011).
Article CAS PubMed PubMed Central Google Scholar
Carter, C. C., Gorbacheva, V. Y. & Vestal, D. J. Inhibition of VSV and EMCV replication by the interferon-induced GTPase, mGBP-2: differential requirement for wild-type GTP binding domain. Arch. Virol. 150, 1213–1220 (2005).
Article CAS PubMed Google Scholar
Schoggins, J. W. et al. Dengue reporter viruses reveal viral dynamics in interferon receptor-deficient mice and sensitivity to interferon effectors in vitro. Proc. Natl Acad. Sci. USA 109, 14610–14615 (2012).
Article ADS CAS PubMed PubMed Central Google Scholar
Becker, S., Rinne, C., Hofsass, U., Klenk, H. D. & Muhlberger, E. Interactions of Marburg virus nucleocapsid proteins. Virology 249, 406–417 (1998).
Article CAS PubMed Google Scholar
Muhlberger, E., Lotfering, B., Klenk, H. D. & Becker, S. Three of the four nucleocapsid proteins of Marburg virus, NP, VP35, and L, are sufficient to mediate replication and transcription of Marburg virus-specific monocistronic minigenomes. J. Virol. 72, 8756–8764 (1998).
Article CAS PubMed PubMed Central Google Scholar
Nanbo, A., Watanabe, S., Halfmann, P. & Kawaoka, Y. The spatio-temporal distribution dynamics of Ebola virus proteins and RNA in infected cells. Sci. Rep. 3, 1206 (2013).
Article ADS PubMed PubMed Central CAS Google Scholar
Baseler, L., Chertow, D. S., Johnson, K. M., Feldmann, H. & Morens, D. M. The pathogenesis of Ebola virus disease. Annu Rev. Pathol. 12, 387–418 (2017).
Article CAS PubMed Google Scholar
Jasenosky, L. D., Neumann, G. & Kawaoka, Y. Minigenome-based reporter system suitable for high-throughput screening of compounds able to inhibit Ebolavirus replication and/or transcription. Antimicrob. Agents Chemother. 54, 3007–3010 (2010).
Article CAS PubMed PubMed Central Google Scholar

Download references

Acknowledgements

We thank Susan Watson for editing along with John Kunert for technical support. This work was supported in part by grants AI081680, UAI106772, AI091707, and DK082155 from the National Institute of Allergy and Infectious Diseases, National Institutes of Health.

Author information

Authors and Affiliations

Department of Pathobiological Sciences, School of Veterinary Medicine, Influenza Research Institute, University of Wisconsin–Madison, Madison, WI, 53711, USA
Makoto Kuroda, Peter J. Halfmann, Lindsay Hill-Batorski, Tiago J. S. Lopes, Gabriele Neumann & Yoshihiro Kawaoka
Laboratory of Animal Hygiene, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, 890-0065, Japan
Makoto Ozawa
Transboundary Animal Diseases Center, Joint Faculty of Veterinary Medicine, Kagoshima University, Kagoshima, 890-0065, Japan
Makoto Ozawa
Department of Microbiology, UT Southwestern Medical Center, Dallas, TX, 75390, USA
John W. Schoggins
Laboratory of Virology and Infectious Disease, Center for the Study of Hepatitis C, The Rockefeller University, New York, NY, 10065, USA
Charles M. Rice
Division of Virology, Department of Microbiology and Immunology, International Research Center for Infectious Diseases, Institute of Medical Science, University of Tokyo, Tokyo, 113-8654, Japan
Yoshihiro Kawaoka
ERATO Infection-Induced Host Responses Project, Japan Science and Technology Agency, Saitama, 332-0012, Japan
Yoshihiro Kawaoka

Authors

Makoto Kuroda
View author publications
You can also search for this author in PubMed Google Scholar
Peter J. Halfmann
View author publications
You can also search for this author in PubMed Google Scholar
Lindsay Hill-Batorski
View author publications
You can also search for this author in PubMed Google Scholar
Makoto Ozawa
View author publications
You can also search for this author in PubMed Google Scholar
Tiago J. S. Lopes
View author publications
You can also search for this author in PubMed Google Scholar
Gabriele Neumann
View author publications
You can also search for this author in PubMed Google Scholar
John W. Schoggins
View author publications
You can also search for this author in PubMed Google Scholar
Charles M. Rice
View author publications
You can also search for this author in PubMed Google Scholar
Yoshihiro Kawaoka
View author publications
You can also search for this author in PubMed Google Scholar

Contributions

M.K., L.H.-B., P.J.H., and Y.K. designed the experiments. M.K., L.H.-B., and P.J.H. performed the experiments. M.O. established the HEK-293T VP30/L cell line. J.W.S. and C.M.R. provided the ISG library and edited the manuscript. M.K., L.H.-B., P.J.H., T.J.S.L., and Y.K. analyzed the data. M.K., L.H.-B., P.J.H., G.N., and Y.K. wrote the manuscript.

Corresponding authors

Correspondence to Peter J. Halfmann or Yoshihiro Kawaoka.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Peer review information Nature Communications thanks the anonymous reviewers for their contribution to the peer review of this work. Peer reviewer reports are available.

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary information

Supplementary Information

Peer Review File

Reporting Summary

Source data

Source Data

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Cite this article

Kuroda, M., Halfmann, P.J., Hill-Batorski, L. et al. Identification of interferon-stimulated genes that attenuate Ebola virus infection. Nat Commun 11, 2953 (2020). https://doi.org/10.1038/s41467-020-16768-7

Download citation

Received: 23 July 2019
Accepted: 17 May 2020
Published: 11 June 2020
DOI: https://doi.org/10.1038/s41467-020-16768-7

This article is cited by

Analysis of the Differential Expression and Antiviral Activity of Porcine Interferon-α In Vitro
- Jianyu Fang
- Qingxian Zhang
- Shaoyu Li
International Journal of Peptide Research and Therapeutics (2023)
BTN3A3 evasion promotes the zoonotic potential of influenza A viruses
- Rute Maria Pinto
- Siddharth Bakshi
- Massimo Palmarini
Nature (2023)

Comments

By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.