1. Immunology and Inflammation
  2. Microbiology and Infectious Disease

Ebola virus sequesters IRF3 in viral inclusion bodies to evade host antiviral immunity

  1. Lin Zhu  Is a corresponding author
  2. Jing Jin
  3. Tingting Wang
  4. Yong Hu
  5. Hainan Liu
  6. Ting Gao
  7. Qincai Dong
  8. Yanwen Jin
  9. Ping Li
  10. Zijing Liu
  11. Yi Huang  Is a corresponding author
  12. Xuan Liu  Is a corresponding author
  13. Cheng Cao  Is a corresponding author
  1. Institute of Biotechnology, Academy of Military Medical Sciences, China
  2. Institute of Physical Science and Information Technology, Anhui University, China
  3. Wuhan Institute of Virology, Chinese Academy of Sciences, China
https://doi.org/10.7554/eLife.88122.3
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Cite this article
  1. Lin Zhu
  2. Jing Jin
  3. Tingting Wang
  4. Yong Hu
  5. Hainan Liu
  6. Ting Gao
  7. Qincai Dong
  8. Yanwen Jin
  9. Ping Li
  10. Zijing Liu
  11. Yi Huang
  12. Xuan Liu
  13. Cheng Cao
(2024)
Ebola virus sequesters IRF3 in viral inclusion bodies to evade host antiviral immunity
eLife 12:RP88122.
https://doi.org/10.7554/eLife.88122.3
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Abstract

Viral inclusion bodies (IBs) commonly form during the replication of Ebola virus (EBOV) in infected cells, but their role in viral immune evasion has rarely been explored. Here, we found that interferon regulatory factor 3 (IRF3), but not TANK-binding kinase 1 (TBK1) or IκB kinase epsilon (IKKε), was recruited and sequestered in viral IBs when the cells were infected by EBOV transcription- and replication-competent virus-like particles (trVLPs). Nucleoprotein/virion protein 35 (VP35)-induced IBs formation was critical for IRF3 recruitment and sequestration, probably through interaction with STING. Consequently, the association of TBK1 and IRF3, which plays a vital role in type I interferon (IFN-I) induction, was blocked by EBOV trVLPs infection. Additionally, IRF3 phosphorylation and nuclear translocation induced by Sendai virus or poly(I:C) stimulation were suppressed by EBOV trVLPs. Furthermore, downregulation of STING significantly attenuated VP35-induced IRF3 accumulation in IBs. Coexpression of the viral proteins by which IB-like structures formed was much more potent in antagonizing IFN-I than expression of the IFN-I antagonist VP35 alone. These results suggested a novel immune evasion mechanism by which EBOV evades host innate immunity.

eLife assessment

This study explores how Ebola virus evades human immune responses. The study reports a potential new mechanism wherein Ebola virus traps human IRF3, a key transcription factor involved in immune signaling, into virus-produced "inclusion bodies". The topic is important, the paper has many merits, and the biochemical assays are solid. However, the current data do not clearly explain the relationship between the VP35 protein and IRF3.

https://doi.org/10.7554/eLife.88122.3.sa0

Introduction

Ebola virus (EBOV) disease is the deadliest infectious disease caused by infection with EBOV, an enveloped, nonsegmented negative-sense RNA virus (Feldmann et al., 2003). The 19 kb viral genome comprises seven genes encoding the nucleoprotein (NP), virion protein 35 (VP35), VP40, glycoprotein (GP), VP30, VP24, and RNA-dependent RNA polymerase (L) (Mahanty and Bray, 2004). Inclusion bodies (IBs) that form in EBOV-infected cells are specialized intracellular compartments that serve as sites for EBOV replication and the generation of progeny viral RNPs (Hoenen et al., 2012; Nanbo et al., 2013). In IBs, the EBOV genome is replicated and transcribed by viral polymerase complexes (Misasi and Sullivan, 2014). VP35 serves as a cofactor of RNA-dependent RNA polymerase and contributes to viral replication by homo-oligomerization through a coiled-coil domain (Reid et al., 2005) as well as through its phosphorylation and ubiquitination, which was recently discovered (van Tol et al., 2022; Zhu et al., 2020).

Innate interferon responses constitute the first lines of host defense against viral infection. Retinoic acid-inducible gene I (RIG-I)-like receptors (RLRs), including RIG-I and melanoma differentiation-associated protein 5, play pivotal roles in the response to RNA virus infection. After the recognition of RNA virus infection, RIG-I is recruited to the mitochondrial antiviral adaptor protein (MAVS) through the caspase activation and recruitment domain. The activation of MAVS recruits multiple downstream signaling components to mitochondria, leading to the activation of inhibitor of κ-B kinase ε (IKKε) and TANK-binding kinase 1 (TBK1), which in turn phosphorylate IFN regulatory factor 3 (IRF3). Phosphorylated IRF3 forms a dimer that translocates to the nucleus, where it activates the transcription of type I interferon (IFN-I) genes (Fitzgerald et al., 2003; Liu et al., 2015).

To promote viral replication and persistence, viruses have evolved various strategies to evade or subvert host antiviral responses. For example, severe fever with thrombocytopenia syndrome virus (SFTSV) has developed a mechanism to evade host immune responses through the interaction between nonstructural proteins and IFN-I induction proteins, including TBK1, IRF3, and IRF7 (Hong et al., 2019; Lee and Shin, 2021; Ning et al., 2014; Wu et al., 2014), sequestering them inside SFTSV-induced cytoplasmic structures known as IBs. In addition to inhibiting IFN-I induction, SFTSV nonstructural proteins can hijack STAT1 and STAT2 in IBs to suppress IFN-I signaling (Ning et al., 2015). These studies highlight the role of viral IBs as virus-built ‘jails’ that sequester some crucial host factors and interfere with the corresponding cellular processes.

EBOV uses various approaches to evade the host immune response, including antagonizing IFN production, inhibiting IFN signaling, and enhancing IFN resistance (Basler et al., 2000; McCarthy et al., 2016; Reid et al., 2006). VP35 is an IFN-I inhibitor that antagonizes host innate immunity by interacting with TBK1 and IKKε (Basler et al., 2003; Prins et al., 2009), suppressing RNA silencing and inhibiting dendritic cell maturation (Haasnoot et al., 2007; Yen et al., 2014). Here, we report that viral IBs in EBOV transcription- and replication-competent virus-like particle (trVLP)-infected cells appear to play a role in immune evasion by sequestering IRF3 into IBs and preventing the interaction of IRF3 with TBK1 and IKKε.

Results

IRF3 is hijacked into cytoplasmic IBs in EBOV transcription and replication-competent virus-like particles infected cells

When HepG2 cells were infected with EBOV trVLPs (Hoenen et al., 2014), which authentically model the complete virus life cycle, IBs with a unique structure and viral particles formed in the cytoplasm (Figure 1—figure supplement 1A, B). Surprisingly, we found that a substantial percentage of endogenous IRF3 was trapped in viral IBs in EBOV trVLP-infected cells with large IBs (Figure 1A, B), while no detectable TBK1 or IKKε, the essential upstream components of IRF3 signaling (Fitzgerald et al., 2003), was sequestered in the viral IBs (Figure 1C–F). These results suggested that IRF3 was specifically compartmentalized in viral IBs, and this compartmentalization spatially isolated IRF3 from its upstream activators TBK1 and IKKε.

Figure 1 with 1 supplement see all
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Interferon regulatory factor 3 (IRF3), but not TANK-binding kinase 1 (TBK1) and IκB kinase epsilon (IKKε), is sequestered into viral inclusion bodies (IBs) upon Ebola virus (EBOV) transcription- and replication-competent virus-like particles (trVLPs) infection.

(A) HepG2 cells infected with the EBOV trVLPs were immunostained with anti-IRF3 (red) and anti-VP35 (green) antibodies. Nuclei were stained with DAPI (4’,6-diamidino-2phenylindole; blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. White arrows: IRF3 in IBs. (B) The left panel shows a magnified image of the IBs boxed in the merged panel of (A). The graphs (right panel) show the fluorescent intensity profiles along the indicated white lines drawn across one or more IBs. (C, E) HepG2 cells infected with the EBOV trVLPs were immunostained with anti-TBK1 (red in (C)) or anti-IKKε (red in (E)) and anti-VP35 (green in (C, E)) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. (D, F) The left panel shows a magnified image of the IBs boxed in the merged panel shown in (C) and (E). The graphs (right panel) show the fluorescent intensity profiles along the indicated white lines drawn across one or more IBs.

Figure 1—source data 1

Numerical data for Figure 1B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig1-data1-v1.zip
Figure 1—source data 2

Numerical data for Figure 1D.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig1-data2-v1.zip
Figure 1—source data 3

Numerical data for Figure 1F.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig1-data3-v1.zip

The sequestration of IRF3 in IBs was further investigated at different hours post infection (hpi) of EBOV trVLPs. Detectable IRF3 puncta colocalized with viral proteins were apparent at 36 hpi in infected cells and correlated significantly with the size and shape of the viral IBs (Figure 2A, B). As the size of IBs increased at 48 hpi, nearly all IRF3 colocalized with viral IBs, whereas the IRF3 distribution was completely different in the uninfected cells nearby (Figure 2A, B). Using a fluorophore line of interest analysis, we assessed the intensity profiles of cytoplasmic IRF3 intensity in IBs as well as the increase in the diameter of the aggregates (Figure 2C). As infection proceeded, the intensity of the IRF3 signal in the puncta increased as the level of cytoplasmic-dispersed IRF3 decreased (Figure 2A), indicating that the total amount of IRF3 in the cells did not dramatically change during infection (Figure 2D, E) and that only its subcellular localization changed. Taken together, the results above showed that IRF3, but not TBK1 or IKKε, was sequestered in viral IBs.

Figure 2
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Ebola virus (EBOV) transcription- and replication-competent virus-like particles (trVLPs) induce the recruitment of interferon regulatory factor 3 (IRF3) into intracytoplasmic inclusion bodies (IBs).

(A) HepG2 cells were infected with EBOV trVLPs. At the indicated time points after infection, cells were fixed and immunostained with anti-IRF3 (red) and anti-VP35 (green) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. The data from two independent replicates are presented. (B) The percentage of IRF3 distribution in IBs at different time points in cells infected with EBOV trVLPs (A) was analyzed using the R programming language. The intensity of IRF3 in eight cells from two independent assays is presented as the mean ± standard error of the mean (SEM; n = 8; ***p < 0.001). (C) The left panel shows a magnified image of the IBs boxed in the merged panel shown in (A). The graphs (right panel) show the fluorescent intensity profiles along the indicated white lines drawn across one or more IBs. (D) IRF3 levels in HepG2 cells infected with EBOV trVLPs were analyzed by immunoblotting with an anti-IRF3 antibody at the indicated hours post infection (hpi). (E) The IRF3 intensity in cells infected with or without EBOV trVLPs for 48 hr (the lower panel of (A)) was analyzed using ImageJ software. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The intensity of IRF3 in five cells from two independent assays is presented as the mean ± SEM (n = 5; ns, not significant).

Figure 2—source data 1

Numerical data for Figure 2B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig2-data1-v1.zip
Figure 2—source data 2

Numerical data for Figure 2C.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig2-data2-v1.zip
Figure 2—source data 3

Raw image for Figure 2D.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig2-data3-v1.zip
Figure 2—source data 4

Numerical data for Figure 2E.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig2-data4-v1.zip

EBOV trVLPs infection attenuates the TBK1–IRF3 association and IRF3 nuclear translocation

Upon virus infection, IRF3, as a critical transcription factor in the IFN induction pathway, can be phosphorylated and activated by TBK1, and then phosphorylated IRF3 translocates from the cytoplasm into the nucleus, eliciting the expression of antiviral IFNs. Given the sequestration of IRF3 by EBOV trVLPs in IBs, the TBK1–IRF3 association in EBOV trVLP-infected cells was assessed by an in situ Duolink proximity ligation assay (PLA). Cytoplasmic complexes consisting of endogenous TBK1 with IRF3 (the red signal) were observed in HepG2 cells treated with poly(I:C), which induces the activation of the RIG-I signal cascade and IRF3 phosphorylation, and poly(I:C)-induced TBK1:IRF3 complexes were significantly reduced by EBOV trVLPs infection (Figure 3A, B). Decreased TBK1–IRF3 association was further demonstrated by immunoprecipitation (Figure 3C). Moreover, as shown in Figure 3D, Sendai virus (SeV) infection-induced IRF3 phosphorylation and nuclear translocation were significantly inhibited by EBOV trVLPs (Figure 3D and Figure 4A, B). Importantly, IRF3 was also recruited into IB-like compartments in the cytoplasm in the cells infected with live EBOV (Figure 4C). These data collectively suggested that the EBOV-mediated sequestration of IRF3 in IBs blocks IRF3 phosphorylation and nuclear translocation in the TBK1–IRF3 signaling cascade, which is critical for IFN induction.

Figure 3
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Ebola virus (EBOV) transcription- and replication-competent virus-like particles (trVLPs) inhibit interferon regulatory factor 3 (IRF3) activation.

(A) HepG2 cells were infected with or without the EBOV trVLPs. Thirty-six hours after infection, the cells were treated with or without 5 μg/ml poly(I:C) for 12 hr and then subjected to in situ proximity ligation assay (PLA) with anti-TANK-binding kinase 1 (TBK1) and anti-IRF3 antibodies and immunostaining with an anti-NP antibody (green). Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Arrows: white arrows indicate TBK1–IRF3 complexes in trVLP-infected cells, and yellow and green arrows indicate TBK1–IRF3 complexes in uninfected and infected cells with small inclusion bodies (IBs), respectively. Scale bar, 10 μm. (B) The signal for the PLA complex in each cell in (A) was counted from at least 12 cells and is presented as the mean ± standard error of the mean (SEM, ***p<0.001). (C) Lysates of HEK293 cells cotransfected with or without the EBOV minigenome (p0) and the indicated plasmids were subjected to anti-Flag immunoprecipitation and analyzed by immunoblotting. (D) HEK293 cells were cotransfected with or without the EBOV minigenome (p0) and Myc-IRF3 plasmids. Thirty-six hours after transfection, the cells were infected with Sendai virus (SeV) at an MOI (multiplicity of infection) of 2 for 12 hr, and the phosphorylation of IRF3 was analyzed by immunoblotting with an anti-IRF3-S396 antibody.

Figure 3—source data 1

Numerical data for Figure 3B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig3-data1-v1.zip
Figure 3—source data 2

Raw image for Figure 3C.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig3-data2-v1.zip
Figure 3—source data 3

Raw image for Figure 3D.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig3-data3-v1.zip
Figure 4
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Ebola virus (EBOV) transcription- and replication-competent virus-like particles (trVLPs) inhibit nuclear translocation of interferon regulatory factor 3 (IRF3).

(A) HepG2 cells were infected with or without the EBOV trVLPs for 36 hr, and the cells were infected with or without Sendai virus (SeV) at an MOI of 2 for another 12 hr. The cells were then fixed and immunostained with anti-IRF3 (red) and anti-VP35 (green) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. (B) The percentage of IRF3 nuclear distribution in (A) was analyzed using ImageJ software. The ratio of IRF3 distribution in ten cells from two independent assays is presented as the mean ± standard error of the mean (SEM; ns, not significant, ***p < 0.001). (C) HepG2 cells infected with live EBOV (MOI = 10) for 72 hr were immunostained with anti-IRF3 (red) and anti-NP (green) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm.

Figure 4—source data 1

Numerical data for Figure 4B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig4-data1-v1.zip

IB-like structures formed by the viral proteins VP35 and NP play a key role in inducing IRF3 sequestration

Ectopic expression of NP alone (Noda et al., 2007) or NP and the VP35 protein (Noda et al., 2011) in cells was sufficient to form IB-like structures. To investigate the viral protein(s) involved in the sequestration of IRF3 in IBs, HepG2 cells were transiently transfected with plasmids encoding NP/VP35, NP/VP35/L, NP/VP35/L/VP30, NP/VP35/L/VP30/VP24, or NP/VP35/L/VP30/vRNA-RLuc/T7 and stained with anti-IRF3 and anti-NP at 48 hpi. Coexpression of NP and VP35 resulted in substantial sequestration of IRF3 in the IB-like structure, which in turn resulted in a significant reduction of IRF3 in the nucleus, as observed in the cells transfected with vectors only and treated with poly(I:C) (Figure 5A, B). Little if any VP35 or NP was demonstrated to interact with IRF3 by immunoprecipitation (Figure 5—figure supplement 1A, B). Compared to NP/VP35 coexpression, the presence of protein L, VP30 and VP24 showed little, if any, effects on IB-like structure formation, IRF3 sequestration and nuclear IRF3 levels (Figure 5A, B and Figure 5—figure supplement 2A, B). These results suggested that IB-like structures as well as VP35 expression were indispensable for IRF3 sequestration.

Figure 5 with 2 supplements see all
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Ebola virus (EBOV) nucleoprotein (NP) and virion protein 35 (VP35) play an important role in sequestering interferon regulatory factor 3 (IRF3) into inclusion bodies (IBs).

(A) HepG2 cells were transfected with the indicated plasmids for 36 hr, and the cells were treated with 5 μg/ml poly(I:C) for another 12 hr. Then, the cells were fixed and immunostained with anti-IRF3 (red) and anti-NP (green) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. (B) The nuclear/cytoplasmic distribution of IRF3 in (A) was analyzed by ImageJ software. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The ratio of IRF3 distribution in at least five cells from two independent assays is presented as the mean ± standard error of the mean (SEM; n = 5; ***p < 0.001).

Figure 5—source data 1

Numerical data for Figure 5B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig5-data1-v1.zip

VP35:STING interactions play an important role in isolating IRF3 into viral IBs

TBK1 and IKKε were spatially separated from VP35 upon infection by EBOV trVLPs (Figure 1C, E), and IRF3 itself was demonstrated not to interact with VP35 and NP (Figure 5—figure supplement 1A, B), implying that other IRF3-interacting proteins might be involved in IRF3 sequestration in IBs upon viral infection. Stimulator of IFN genes (STING), an endoplasmic reticulum adaptor associated with IRF3 (Petrasek et al., 2013), was observed to interact with VP35 (Figure 6A) and be recruited into IBs when the cells were infected by EBOV trVLPs (Figure 6B, C). A substantial portion of STING was found to be recruited into IBs at 36 hpi in EBOV trVLP-infected cells (Figure 6D, E and Figure 6—figure supplement 1). STING knockdown by small interfering RNA (siRNA) inhibited IRF3 sequestration in viral IBs (Figure 6F, G). These results suggested that STING played important roles in the sequestration of IRF3 in viral IBs, possibly by interacting with VP35.

Figure 6 with 1 supplement see all
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Ebola virus (EBOV) transcription- and replication-competent virus-like particles (trVLPs) recruit interferon regulatory factor 3 (IRF3) into viral inclusion bodies (IBs) via STING.

(A) Lysates of HEK293 cells transfected with the indicated plasmids were subjected to anti-Flag immunoprecipitation and analyzed by immunoblotting. (B) HepG2 cells were transfected with the EBOV minigenome (p0). Forty-eight hours after infection, the cells were fixed and immunostained with anti-STING (red) and anti-VP35 (green) antibodies. White arrows: STING in IBs. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. (C) The left panel shows a magnified image of the IBs boxed in the merged panel of (B). The graphs (right panel) show the fluorescent intensity profiles along the indicated white lines drawn across one or more IBs. (D) HepG2 cells were infected with the EBOV trVLPs. At the indicated hours post infection (hpi), cells were fixed and immunostained with anti-STING (red) and anti-VP35 (green) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. The data from two independent replicates are presented. (E) The left panel shows a magnified image of the IBs boxed in the merged panel of (D). The graphs (right panel) show fluorescent intensity profiles along the indicated white lines drawn across one or more IBs. (F, G) HepG2 cells were transfected with STING siRNA (STING si) or scrambled siRNA (Scr si) for 6 hr. The cells were then infected with the EBOV trVLPs for 36 hr and then immunostained with Fluor 488-conjugated-anti-IRF3 (green), anti-VP35 (red), and anti-STING (purple) antibodies. Nuclei were stained with DAPI (blue), and images were obtained using a Zeiss LSM 800 Meta confocal microscope. Scale bar, 10 μm. The silencing efficiency of STING siRNA was determined by immunoblotting (G).

Figure 6—source data 1

Raw image for Figure 6A.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig6-data1-v1.zip
Figure 6—source data 2

Numerical data for Figure 6C.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig6-data2-v1.zip
Figure 6—source data 3

Numerical data for Figure 6E.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig6-data3-v1.zip
Figure 6—source data 4

Raw image for Figure 6G.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig6-data4-v1.zip

Viral IB-induced IRF3 sequestration suppresses IFN-β production

EBOV trVLPs could hijack IRF3 and sequester IRF3 into IBs and thus block the nuclear translocation of IRF3, which suggested that EBOV trVLPs may suppress IRF3-driven IFN-β production. As reported previously (Basler et al., 2000), expression of VP35 (Figure 7A), but not NP, resulted in a mild inhibition of SeV-induced IFN-β-Luc expression (Figure 7B). Coexpression of VP35 and NP, which led to the formation of IBs and the sequestration of IRF3 (Figure 5A), suppressed IFN-β-Luc expression much more potently than VP35 expression alone (Figure 7B). Coexpression of NP/VP35/L/VP30 was more potent in the inhibition of SeV-induced IFN-β-Luc expression than NP/VP35 (Figure 7B). Moreover, coexpression of NP/VP35/VP30/L almost completely suppressed poly(I:C)-induced IFN-β transcription (Figure 7C). IRF3 depletion showed little, if any, effect on IFN-β transcription upon NP/VP35/L/VP30 coexpression (Figure 7C and Figure 7—figure supplement 1A), which suggested that NP/VP35/L/VP30 coexpression was similarly powerful as IRF3 depletion in antagonizing IFN-β expression. In wild-type cells but not IRF3-depleted cells, the coexpression of NP/VP35/L/VP30 had a significantly greater ability to inhibit SeV-induced transcription of IFN-β downstream genes, such as CXCL10, ISG15, and ISG56, than VP35 expression alone (Figure 7D–F). These results strongly suggested that the sequestration of IRF3 in viral IBs was substantially more powerful than that upon VP35 expression.

Figure 7 with 1 supplement see all
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The hijacking of interferon regulatory factor 3 (IRF3) by viral inclusion bodies (IBs) inhibits IFN-β production.

(A) HEK293 cells were transfected with the indicated plasmids for 24 hr, and the cells were infected with or without Sendai virus (SeV) at an MOI of 2 for another 12 hr. The mRNA level of IFN-β was quantified by quantitative RT-PCR (qRT-PCR). Differences between the two groups were evaluated by a two-sided unpaired Student’s t-test. The data are presented as the means  ± standard error of the mean (SEM; n=3; *p < 0.05, **p < 0.01, ***p < 0.001). (B) HEK293 cells were cotransfected with the firefly luciferase reporter plasmid pGL3-IFN-β-Luc, the Renilla luciferase control plasmid pRL-TK, and viral protein expression plasmids (0.0625 μg of pCAGGS-NP, 0.0625 μg of pCAGGS-VP35, 0.0375 μg of pCAGGS-VP30, and 0.5 μg of pCAGGS-L) for 24 hr, and the cells were infected with or without SeV at an MOI of 2 for another 12 hr. The luciferase activities were then analyzed. The data were analyzed to determine the fold induction by normalizing the firefly luciferase activity to the Renilla luciferase activity. Empty plasmid without SeV infection was used as a control, and the corresponding data point was set to 100%. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The data are presented as the means ± SEM (n=3; ns, not significant, *p < 0.05, ***p < 0.001). (C) Wild-type (WT) and IRF3-depleted (IRF3−/−) HeLa cells were transfected with or without pCASSG-NP, pCASSG-VP35, pCASSG-VP30, and pCASSG-L plasmids for 36 hr and then treated with or without 5 μg/ml poly(I:C) for 12 hr. The mRNA level of IFN-β was quantified by qRT-PCR. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The data are presented as the means ± SEM (n=3; ns, not significant, *p < 0.05). (D–F) Wild-type (WT) and IRF3-depleted (IRF3−/−) HeLa cells were transfected with or without pCAGGS-VP35 or pCASSG-NP, pCASSG-VP35, pCASSG-VP30, and pCASSG-L plasmids for 36 hr, and the cells were infected with or without SeV at an MOI of 5 for another 12 hr. The mRNA level of CXCL10 (D), ISG15 (E), and ISG56 (F) was quantified by qRT-PCR. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The data are presented as the means ± SEM (n=3; *p < 0.05, **p < 0.01, ***p < 0.001). (G) Wild-type (WT) and IRF3-knockout (IRF3−/−) HeLa cells were transfected with the Ebola virus (EBOV) minigenome (p0), pGL3-promoter and Myc-vector, Myc-IRF3 or Myc-IRF3/5D plasmids for 96 hr. The amounts of transcription- and replication-competent virus-like particles (trVLPs) were determined by a luciferase activity assay (left panel). Differences between the two groups were evaluated by a two-sided unpaired Student’s t-test. The data are presented as the means ± SEM (n=3; ns, not significant, ***p < 0.001). (H) Wild-type (WT) and IRF3-knockout (IRF3−/−) HeLa cells were infected with live EBOV (MOI = 0.1). The cell culture supernatants were collected on the indicated days post infection (dpi), and the viral titers were quantified as TCID50 by a plaque assay. Differences between the two groups were evaluated using a two-sided unpaired Student’s t-test. The data are presented as the means ± SEM (n=3; ns, not significant).

Figure 7—source data 1

Numerical data for Figure 7A.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data1-v1.zip
Figure 7—source data 2

Numerical data for Figure 7B.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data2-v1.zip
Figure 7—source data 3

Numerical data for Figure 7C.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data3-v1.zip
Figure 7—source data 4

Numerical data for Figure 7D.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data4-v1.zip
Figure 7—source data 5

Numerical data for Figure 7E.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data5-v1.zip
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Numerical data for Figure 7F.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data6-v1.zip
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Numerical data for Figure 7G.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data7-v1.zip
Figure 7—source data 8

Numerical data for Figure 7H.

https://cdn.elifesciences.org/articles/88122/elife-88122-fig7-data8-v1.zip

We next assessed the effect of IRF3 hijacking and sequestration by viral IBs on EBOV trVLPs replication. Compared with wild-type cells, IRF3 depletion showed little, if any, effect on EBOV replication, as indicated by luciferase activity, suggesting that trVLPs efficiently blocked IRF3 signaling (Figure 7G and Figure 7—figure supplement 1B). Moreover, the overexpression of IRF3/5D (a phospho-mimic of activated IRF3), but not IRF3, inhibited EBOV trVLPs replication in IRF3-depleted cells (Figure 7G). Importantly, compared with wild-type cells, IRF3 depletion showed little, if any, effect on EBOV replication in the cells infected with live EBOV (Figure 7H). Taken together, these results suggest that the hijacking of IRF3 and sequestration into IBs by EBOV can be significantly more potent in the inhibition of IFN-I production and thereby antagonizes the inhibitory effect of IFN-I on viral replication.

Discussion

Accumulating evidence suggests that EBOV has established multiple ways to antagonize host innate immune responses to maintain viral replication. Several EBOV proteins (VP35, VP24, GP, VP30, and VP40) are known to participate in host immune evasion to facilitate viral replication and pathogenesis (Audet and Kobinger, 2015; Bhattacharyya, 2021; Cantoni and Rossman, 2018). VP35 was demonstrated to suppress IFN-I production by inhibiting IRF3/7 phosphorylation, disrupting DC maturation, and facilitating the escape of immune sensation by dsRNA (Basler, 2015; Cárdenas et al., 2006; Messaoudi et al., 2015; Prins et al., 2009). VP30 and VP40 suppress RNA silencing by interacting with Dicer and modulating RNA interference components via exosomes, respectively (Fabozzi et al., 2011; Pleet et al., 2017). VP24 and GP are also known to block IFN-I signaling by hiding type I major histocompatibility complex (MHC-1) on the cell surface and counteracting tetherin or interfering with established immune responses by adsorbing antibodies against GP, respectively (Audet and Kobinger, 2015; Bhattacharyya, 2021).

Viral IBs are a characteristic of cellular EBOV infection and are important sites for viral RNA replication, and NP and VP35 are extremely critical proteins for the formation of IBs (Hoenen et al., 2012). However, whether viral IBs are involved in antagonizing IFN-I production during EBOV trVLPs infection has not yet been reported. Here, we found that IRF3 is hijacked and sequestered into EBOV IBs by viral infection (Figure 1A), which demonstrates that viral IBs are utilized for IRF3 compartmentalization. Meanwhile, this compartmentalization resulted in the spatial isolation of IRF3 from the kinases TBK1 and IKKε (Figure 1C, E). This suggests that IRF3 deprivation by viral IBs may antagonize host antiviral signaling by inhibiting IFN-I production signaling.

As expected, the expression of NP/VP35/VP30/L, which is involved in the composition of IBs, was significantly more antagonistic to SeV-induced IFN-β production than the expression of VP35 alone (Figure 7B). In addition, the expression of NP/VP35/VP30/L can significantly antagonize the promoting effect of poly(I:C) on IFN-β transcription, and IRF3 knockout could not further inhibit the transcription of IFN-β (Figure 7C), which may be because viral hijacking of IRF3 into IBs nearly completely antagonized its function of promoting IFN-β production. In this study, the effect of poly(I:C) is consistent with the results obtained with SeV, which indicates that poly(I:C) may mainly activate the RLR signaling pathway (Figure 3A). As shown in Figure 7D–F, the expression of NP/VP35/VP30/L significantly inhibited the ability of SeV to promote the transcription of IFN-β downstream genes (CXCL10, ISG15, and ISG56) but did not completely suppress the effect of SeV, which may be due to the low transfection rate of HeLa cells. Furthermore, the knockout of IRF3 in cells could not further promote EBOV and EBOV trVLPs replication compared with that observed in wild-type cells (Figure 7G, H), which may have been because IRF3 was hijacked into viral IBs and could not be phosphorylated into the nucleus to regulate IFN-I production. These results suggest that viral IBs act as virus-built ‘jails’ to imprison transcription factors and present a novel and possible common mechanism of viral immune evasion in which the critical signaling molecule IRF3 is spatially segregated from the antiviral kinases TBK1 and IKKε.

Although almost all IRF3 could be sequestered to viral IBs formed by VP35 and NP (Figure 5A, B), we found that neither VP35 nor NP interacted with IRF3 (Figure 5—figure supplement 1). Here, we found that VP35 interacts with STING and colocalizes in IBs and that knockdown of STING inhibits the sequestration of IRF3 in IBs (Figure 6A–G). These results suggest that VP35 may hijack IRF3 into IBs through STING. However, whether other host proteins are involved in this process and the role of NP in the recruitment of IRF3 by VP35 remain unclear. In addition, we found that VP35 may hijack IRF3 into IBs via STING association (Figure 6A–C); however, whether VP35 activates the STING-IRF3 pathway in a cGAS-independent manner by interacting with STING and the molecular mechanism remain to be further investigated.

In summary, EBOV VP35 sequesters IRF3 into viral IBs and inhibits the association of IRF3 with TBK1 and IKKε, preventing IRF3 from entering the nucleus and thereby inhibiting IFN-I production (Figure 8). Therefore, this study reveals a new strategy by which EBOV escapes the innate immune response and provides new ideas for EBOV disease treatment.

Figure 8
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Model of the molecular mechanism by which EBOV hijacks IRF3 into viral IBs through VP35-STING to comprehensively disrupt IFN-I production.

VP35 sequesters IRF3 to EBOV IBs, which in turn spatially segregates IRF3 from TANK-binding kinase 1 (TBK1) and IκB kinase epsilon (IKKε), blocks RLR signaling and inhibits IFN-I production.

Materials and methods

Key resources table
Reagent type (species) or resourceDesignationSource or referenceIdentifiersAdditional information
Strain, strain background (Escherichia coli)DH5α E. coliTIANGENCat# CB101Competent cells
Strain, strain background (Sendai virus)SeVtherProvided by Changchun Veterinary Research Institute
Strain, strain background (Ebola virus)Ebola virus (Mayinga strain)therProvided by National Biosafety Laboratory, Chinese Academy of Sciences
Cell line (Homo sapiens)IRF3-knockout HeLa cells (normal, adult)AbclonalCat# RM02113
Antibodyanti-Flag M2 affinity Gel (Rabbit polyclonal)Sigma-AldrichCat# F2426; RRID:AB_2616449IP (1:50)
Antibodyanti-c-Myc affinity Gel (Mouse monoclonal)Sigma-AldrichCat# E6654; RRID:AB_10093201IP (1:50)
AntibodyHRP-conjugated anti-Flag antibody (Mouse monoclonal)Sigma-AldrichCat# A8592; RRID:AB_439702WB (1:4000)
AntibodyHRP-conjugated anti-c-Myc antibody (Mouse monoclonal)Sigma-AldrichCat# SAB4200742WB (1:2000)
AntibodyHRP-conjugated anti-β-Actin antibody (Mouse monoclonal)Sigma-AldrichCat# A3854; RRID:AB_262011WB (1:20,000)
Antibodyanti-Zaire Ebola virus VP35 antibody (Mouse monoclonal)Creative DiagnosticsCat# CABT-B292IF (1:50); WB (1:1000)
Antibodyanti-IRF3 antibody (Rabbit monoclonal)Cell Signaling TechnologyCat# 11904; RRID:AB_2722521IF (1:50); WB (1:1000)
Antibodyanti-phospho-IRF3 (Ser396) antibody (Rabbit monoclonal)Cell Signaling TechnologyCat# 29047; RRID:AB_2773013IB (1:500)
Antibodyanti-IRF3 antibody (Mouse monoclonal)Cell Signaling TechnologyCat# 10949; RRID:AB_2797733IF (1:50)
AntibodyCoraLite Plus 488-conjugated IRF3 antibody (Rabbit polyclonal)ProteintechCat# CL488-11312; RRID:AB_2919025IF (1:50)
Antibodyanti-TBK1 antibody (Rabbit monoclonal)AbcamCat# ab40676; RRID:AB_776632IF (1:100)
Antibodyanti-TBK1 antibody (Rabbit monoclonal)Cell Signaling TechnologyCat# 38066; RRID:AB_2827657IF (1:100)
Antibodyanti-IKKε antibody (Rabbit monoclonal)AbcamCat# ab7891; RRID:AB_2124814IF (1:100)
Antibodyanti-STING antibody (Rabbit polyclonal)ProteintechCat# 19851-1-AP; RRID:AB_10665370WB (1:1000)
Antibodyanti-STING antibody (Rabbit polyclonal)BiossCat# bs-8335RIF (1:50)
Antibodyanti-Zaire Ebola virus NP antibody (Rabbit polyclonal)Sino BiologicalCat# 40443-T62WB (1:1000)
Recombinant DNA reagentFlag-VP35; Flag-NP (plasmid)DOI: 10.1038/s41467-022-29948-4
Recombinant DNA reagentSTING-Flag (plasmid)Miaoling biologyCat# P39762Flag-tagged of pCMV-vector (STING: NM_198282.4)
Recombinant DNA reagentFlag-TBK1 (plasmid)This paperSynthesized by General BiolFlag-tagged of pCDNA3.0-vector (TBK1: NM_013254.4)
Recombinant DNA reagentMyc-IRF3 (plasmid)This paperSynthesized by General BiolMyc-tagged of pCMV-vector
(IRF3: NM_013254.4)
Recombinant DNA reagentMyc-IRF3/5D (plasmid)This paperSynthesized by General BiolThe amino acids of IRF3 at S396, S398, S402, T404, and S405 were mutated to D
Recombinant DNA reagentVP35-Myc-His (plasmid)This paperSynthesized by General BiolMyc-tagged of pCMV-vector
Recombinant DNA reagentpCAGGS-VP35; pCAGGS-NP; pCAGGS-VP30; pCAGGS-L; pCAGGS-T7; pCAGGS-Tim1; p4cis-vRNA-RLuc (plasmid)DOI: 10.3791/52381
Recombinant DNA reagentpRL-TK vector (plasmid)PromegaCat# E2241
Recombinant DNA reagentpGL3-IFNβ-Luc (plasmid)This paperpGL3-basic vector
Recombinant DNA reagentpGL3-Promoter (plasmid)YoubioCat# VT1726
Sequence-based reagentSTING siRNA- senseThis paperSynthesized by Tsingke BiotechnologyGCACCUGUGUCCUGGAGUATT
Sequence-based reagentSTING siRNA- anti-senseThis paperSynthesized by Tsingke BiotechnologyUACUCCAGGACACAGGUGCTT
Sequence-based reagentsiRNA: nontargetin control-senseThis paperSynthesized by Tsingke BiotechnologyUUCUCCGAACGUGUCACGUTT
Sequence-based reagentsiRNA: nontargetin control-anti-senseThis paperSynthesized by Tsingke BiotechnologyACGUGACACGUUCGGAGAATT
Sequence-based reagenth-IFN-β-FThis paperqPCR primersAGGACAGGATGAACTTTGAC
Sequence-based reagenth-IFN-β-RThis paperqPCR primersTGATAGACATTAGCCAGGAG
Sequence-based reagenth-CXCL10-FThis paperqPCR primersTCCCATCACTTCCCTACATG
Sequence-based reagenth- CXCL10-RThis paperqPCR primersTGAAGCAGGGTCAGAACATC
Sequence-based reagenth-ISG15-FThis paperqPCR primersTCCTGGTGAGGAATAACAAGGG
Sequence-based reagenth-ISG15-RThis paperqPCR primersCTCAGCCAGAACAGGTCGTC
Sequence-based reagenth-ISG56-FThis paperqPCR primersTCGGAGAAAGGCATTAGATC
Sequence-based reagenth-ISG56-RThis paperqPCR primersGACCTTGTCTCACAGAGTTC
Sequence-based reagenth-GAPDH-FThis paperqPCR primersAAggTCATCCCTgAgCTgAAC
Sequence-based reagenth-GAPDH-RThis paperqPCR primersACgCCTgCTTCACCACCTTCT
Commercial assay or kitReverTra Ace qPCR RT Master Mix with gDNA RemoverTOYOBOCat# FSQ-301
Commercial assay or kitSYBR Green Real-time PCR Master MixTOYOBOCat# QPK-201
Commercial assay or kitDuolink in situ PLA reagentSigma-AldrichCat# DUO92008
Commercial assay or kitDual-Luciferase Reporter Assay SystemPromegaCat# E1960
Software, algorithmPrism 8.0 softwareGraphpadhttps://www.graphpad.com/scientific-software/prism/;
Software, algorithmImageJ 1.48v softwareNational Institutes of Healthhttps://imagej.net/software/imagej/
Software, algorithmQuantStudio 6 Flex multicolor real-time PCR SoftwareApplied Biosystems
OtherMounting Medium with DAPIAbcamAb104139DAPI is used for staining nuclei in immunofluorescence

Cell lines and transfections

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HEK293, HeLa, and IRF3-knockout HeLa cells (ABclonal, RM02113) were grown in Dulbecco’s modified Eagle’s medium (Gibco). HepG2 cells were grown in minimum essential medium (Gibco) supplemented with a 1% nonessential amino acid solution (Gibco). All media were supplemented with 10% heat-inactivated fetal bovine serum (FBS; Gibco), 2 mM l-glutamine, 100 units/ml penicillin, and 100 units/ml streptomycin, and cells were grown at 37°C under an atmosphere with 5% CO2. The cells were authenticated using short tandem repeat (STR) profiling and were also tested for mycoplasma contamination. Transient transfection was performed with Lipofectamine 3000 (Invitrogen) according to the manufacturer’s instructions.

Vectors and viruses

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Flag-tagged VP35, NP, STING, and TBK1 vectors were constructed by cloning the corresponding gene fragments into a pcDNA3.0-based Flag-vector (Invitrogen). Myc-tagged VP35, IRF3, and IRF3/5D vectors were constructed by inserting the corresponding gene fragments into the pCMV-Myc vector (Clontech). All the constructs were validated by Sanger DNA sequencing.

SeV was amplified in 9- to 11-day embryonated specific pathogen-free eggs. Live EBOV (Mayinga strain) is preserved by the BSL-4 Lab at the Wuhan Institute of Virology, Chinese Academy of Sciences.

Immunoprecipitation and immunoblot analysis

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Cell lysates were prepared in lysis buffer containing 1% Nonidet P-40 and protease inhibitor cocktail (Roche) (Cao et al., 2003). Soluble proteins were immunoprecipitated using anti-Flag (M2, Sigma), anti-Myc (Sigma), or IgG of the same isotype from the same species as a negative control (Sigma). An aliquot of the total lysate (5%, vol/vol) was included as a control. Immunoblotting was performed with horseradish peroxidase (HRP)-conjugated anti-Myc (Sigma), HRP-conjugated anti-Flag (Sigma), HRP-conjugated anti-β-actin (Sigma), anti-VP35 (Creative Diagnostics), anti-IRF3 (Cell Signaling Technology), anti-phospho-IRF3 Ser396 (Cell Signaling Technology), anti-STING (Proteintech), or anti-NP (Sino Biological) antibodies. The antigen–antibody complexes were visualized via chemiluminescence (Immobilon Western Chemiluminescent HRP Substrate, Millipore). A PageRuler Western marker (Thermo) was used as a molecular weight standard.

Gene silencing using siRNA

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For gene knockdown in HepG2 cells, cells maintained in 6-well plates were transfected with 100 pmol STING siRNA (sense, 5′-GCACCUGUGUCCUGGAGUATT-3′; antisense, 5′-UACUCCAGGACACAGGUGCTT-3′) or the same concentration of scrambled siRNA (sense, 5′-UCUCCGAACGUGUCACGUTT-3′; antisense, 5′-ACGUGACACGUUCGGAGAATT-3′) purchased from Tsingke Biotechnology (Beijing, China) with Lipofectamine 3000 (Invitrogen) according to the manufacturer’s recommendations.

Reverse transcription and quantitative RT-PCR

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Total cellular RNA was prepared using an RNeasy Mini kit (QIAGEN, USA) according to the manufacturer’s protocol. For cDNA synthesis, 0.5 μg of RNA was first digested with gDNA Eraser to remove contaminated DNA and then reverse transcribed using ReverTra Ace qPCR RT Master Mix with gDNA Remover (FSQ-301, Toyobo) in a 20-μl reaction volume. Then, 1 μl of cDNA was used as a template for quantitative PCR. The following primers were used in these experiments: h-IFN-β-F: 5′-AGGACAGGATGAACTTTGAC-3′; h-IFN-β-R: 5′-TGATAGACATTAGCCAGGAG-3′; h-CXCL10-F: 5′-TCCCATCACTTCCCTACATG-3′; h-CXCL10-R: 5′-TGAAGCAGGGTCAGAACATC-3′; h-ISG15-F: 5′-TCCTGGTGAGGAATAACAAGGG-3′; h-ISG15-R: 5′-CTCAGCCAGAACAGGTCGTC-3′; h-ISG56-F: 5′-TCGGAGAAAGGCATTAGATC-3′; h-ISG56-R: 5′-GACCTTGTCTCACAGAGTTC-3′; h-GAPDH-F: 5′-AAggTCATCCCTgAgCTgAAC-3′; h-GAPDH-R: 5′-ACgCCTgCTTCACCACCTTCT-3′.

The samples were denatured at 95°C for 2 min, followed by 40 cycles of amplification (15 s at 94°C for denaturation, 60 s at 60°C for annealing and extension). Quantitative RT-PCR was performed using SYBR Green Real-time PCR Master Mix (QPK-201, Toyobo) with the QuantStudio 6 Flex multicolor real-time PCR detection system (ABI). Relative mRNA levels were normalized to GAPDH levels and calculated using the 2−ΔΔCT method (Livak and Schmittgen, 2001). The means (upper limit of the box) ± standard error of the mean (SEM; error bars) of three independent experiments are presented in the figures.

In situ PLA

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Duolink in situ PLA (Sigma) was used to detect the endogenous association of IRF3 and TBK1 in cells. In brief, HepG2 cells plated on glass coverslips were transfected with EBOV minigenome plasmids. After fixation with 4% formaldehyde, the cells were permeabilized with 0.3% Triton X-100 in phosphate-buffered saline (PBS) for 15 min. After blocking with blocking buffer (Sigma, DUO82007), the cells were incubated with mouse anti-IRF3 (Cell Signaling Technology) and rabbit anti-TBK1 (Abcam) primary antibodies. The nuclei were stained with DAPI (blue). The red fluorescent spots generated from the DNA amplification-based reporter system combined with oligonucleotide-labeled secondary antibodies were detected with a Zeiss LSM 800 Meta confocal microscope (Carl Zeiss).

Immunofluorescence microscopy

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Cells were transfected, fixed, permeabilized, and blocked as described above. Then, after incubation with anti-TBK1 (Cell Signaling Technology), anti-IKKε (Abcam), anti-IRF3 (Cell Signaling Technology), anti-VP35 (Creative Diagnostics), anti-NP (Sino Biological), or anti-STING (Bioss) antibodies overnight at 4°C, the cells were washed three times with phosphate buffered saline with tween 20 (PBST) buffer and then incubated with 488-conjugated anti-IRF3 (Proteintech) antibodies, FITC- or TRITC-conjugated goat anti-rabbit (or anti-mouse) IgG secondary antibodies for another 1 hr at room temperature. The cells were then stained with DAPI after washing and imaged using a laser scanning confocal microscope (Zeiss LSM 800 Meta) with a ×63 oil immersion lens.

Luciferase reporter assay

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The IFN-I production assay was performed as described previously (Zhu et al., 2022). Briefly, HEK293 cells (1 × 105 cells per well in a 24-well plate) were cotransfected with the indicated amount of pCAGGS-NP (62.5 ng)/pCAGGS-VP35 (62.5 ng)/pCAGGS-VP30 (37.5 ng)/pCAGGS-L (500 ng), 200 ng of the IFN-β reporter plasmid (Promega, USA) and 4 ng of Renilla luciferase plasmid. An empty vector was used to ensure that each well contained the same plasmid concentration. After 24 hr, the cells were treated with SeV (MOI = 2) or 5 μg/ml poly(I:C) for 12 hr, and the luciferase activity of the cell lysates was analyzed with the dual-luciferase reporter assay system (Promega, E1960) using a GloMax 20/20 luminometer (Promega, USA). Values were obtained by normalizing the luciferase values to the Renilla values. Fold induction was determined by setting the results from the group transfected with vector without Flag-VP35 to a value of 1.

EBOV trVLPs assay

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The replication of EBOV in the cells was evaluated with the minigenome system (Hoenen et al., 2014). Briefly, producer cells (p0) were cotransfected with p4cis-vRNA-RLuc (250 ng) and pCAGGS-T7 (250 ng) for T7 RNA polymerase expression and four plasmids for EBOV protein expression (pCAGGS-NP (125 ng), pCAGGS-VP35 (125 ng), pCAGGS-VP30 (75 ng), and pCAGGS-L (1000 ng)), as well as the luciferase reporter vector pGL3-Promoter (Youbio, 25 ng). One day after transfection, the medium was replaced with medium containing 5% FBS, and the cells were then incubated for another 3 days. Viral replication was determined by intracellular luciferase activities using a dual-luciferase reporter assay kit (Promega, E1960) after cell lysis with passive lysis buffer (PLB, Promega). For immunofluorescence experiments, cells were harvested 48 hr after transfection.

Transmission electron microscopy

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HepG2 cells transfected with EBOV minigenome p0-related plasmids were washed with PBS, fixed with 2.5% glutaraldehyde, and then prestained with osmium tetroxide. Eighty-nanometer-thick serial sections were then cut and stained with uranyl acetate and lead citrate. Images were acquired with a transmission electron microscope (Hitachi, H-7650) operating at 80 kV.

EBOV infection assay

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HepG2, HeLa, or IRF3-depleted HeLa cells grown to ~70% confluency in 12-well plates (for viral proliferation) or 12-well plates with a 18-mm coverslip (for immunofluorescence microscopy) were incubated with the EBOV Mayinga strain, which was tittered in Vero E6 cells, at 37°C for 1 hr at the indicated MOI. Then, the cells were washed three times with PBS, and fresh medium was added to the cells, which were incubated at 37°C for 72 hr (for microscopy) or the indicated times (0, 2, 4, and 6 days; for the viral proliferation assay). Subsequently, the cells on the coverslip were fixed with 4% formaldehyde for immunofluorescent straining, and the supernatants were collected at the indicated times for viral titration following the requirements of the BSL-4 laboratory. The viral titers were determined by plaque formation assay. Briefly, 10-fold serially diluted samples (100 μl) were added to 96-well plates containing 1 × 104 Vero E6 cells per well and incubated for 1 hr at 37°C in a 5% CO2 incubator. Then, 100 μl of medium containing 2% FBS was added to each well. After incubation for 5–7 days at 37°C in a 5% CO2 incubator, the cytopathic effect was observed, and the median tissue culture infective dose (TCID50)/ml was calculated. All work with live EBOV was performed with BSL-4 containment.

Statistical analyses

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Graphical representation and statistical analyses were performed using Prism 8 software (GraphPad Software). Unless indicated otherwise, the results are presented as the means (upper limit of the box) ± SEM (error bars) from three independent experiments conducted in duplicate. An unpaired two-tailed t-test was used for the analysis of two groups. Data were considered significant when p < 0 .05 (*), p < 0.01 (**), and p < 0.001 (***).

Data availability

All data generated or analyzed during this study are included in the manuscript and supporting files. Source data are provided within this article.

References

Article and author information

Author details

  1. Lin Zhu

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Conceptualization, Resources, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Writing – original draft, Writing – review and editing
    For correspondence
    zhul627@gmail.com
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-5772-9482

  2. Jing Jin

    Institute of Physical Science and Information Technology, Anhui University, Hefei, China
    Contribution
    Resources, Data curation, Software, Formal analysis, Validation
    Competing interests
    No competing interests declared

  3. Tingting Wang

    Institute of Physical Science and Information Technology, Anhui University, Hefei, China
    Contribution
    Resources, Data curation, Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  4. Yong Hu

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Software, Formal analysis, Investigation, Methodology
    Competing interests
    No competing interests declared

  5. Hainan Liu

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Software, Formal analysis, Funding acquisition, Investigation
    Competing interests
    No competing interests declared

  6. Ting Gao

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Formal analysis, Supervision, Funding acquisition, Investigation, Visualization
    Competing interests
    No competing interests declared

  7. Qincai Dong

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Resources, Formal analysis
    Competing interests
    No competing interests declared

  8. Yanwen Jin

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Formal analysis, Supervision, Investigation
    Competing interests
    No competing interests declared

  9. Ping Li

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Formal analysis, Supervision
    Competing interests
    No competing interests declared

  10. Zijing Liu

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Resources, Supervision
    Competing interests
    No competing interests declared

  11. Yi Huang

    Wuhan Institute of Virology, Chinese Academy of Sciences, Wuhan, China
    Contribution
    Resources, Data curation, Project administration
    For correspondence
    hy@wh.iov.cn
    Competing interests
    No competing interests declared
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6585-5243

  12. Xuan Liu

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Supervision, Investigation, Project administration, Writing – review and editing
    For correspondence
    liux931932@163.com
    Competing interests
    No competing interests declared

  13. Cheng Cao

    Institute of Biotechnology, Academy of Military Medical Sciences, Beijing, China
    Contribution
    Conceptualization, Supervision, Funding acquisition, Validation, Investigation, Visualization, Project administration, Writing – review and editing
    For correspondence
    caoc@nic.bmi.ac.cn
    Competing interests
    No competing interests declared

Funding

National Natural Science Foundation of China (82372255)

  • Lin Zhu

Advanced Customer Cultivation Project of the Wuhan National Biosafety Laboratory, the Chinese Academy of Sciences (2022ACCP-MS04)

  • Cheng Cao

National Major Science and Technology Projects of China (2018ZX09711003-005-005)

  • Ting Gao

National Major Science and Technology Projects of China (2022YFC2600704)

  • Hainan Liu

The funders had no role in study design, data collection, and interpretation, or the decision to submit the work for publication.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (82372255), the Advanced Customer Cultivation Project of the Wuhan National Biosafety Laboratory, the Chinese Academy of Sciences [2022ACCP-MS04], and the National Major Science and Technology Projects of China [2018ZX09711003-005-005 to TG and 2022YFC2600704 to HL].

Version history

  1. Sent for peer review: April 20, 2023
  2. Preprint posted: April 26, 2023 (view preprint)
  3. Preprint posted: June 27, 2023 (view preprint)
  4. Preprint posted: January 10, 2024 (view preprint)
  5. Version of Record published: January 29, 2024 (version 1)

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You can cite all versions using the DOI https://doi.org/10.7554/eLife.88122. This DOI represents all versions, and will always resolve to the latest one.

Copyright

© 2023, Zhu et al.

This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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  1. Lin Zhu
  2. Jing Jin
  3. Tingting Wang
  4. Yong Hu
  5. Hainan Liu
  6. Ting Gao
  7. Qincai Dong
  8. Yanwen Jin
  9. Ping Li
  10. Zijing Liu
  11. Yi Huang
  12. Xuan Liu
  13. Cheng Cao
(2024)
Ebola virus sequesters IRF3 in viral inclusion bodies to evade host antiviral immunity
eLife 12:RP88122.
https://doi.org/10.7554/eLife.88122.3

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    Mark S Lee, Peter J Tuohy ... Michael S Kuhns
    Research Advance

    CD4+ T cell activation is driven by five-module receptor complexes. The T cell receptor (TCR) is the receptor module that binds composite surfaces of peptide antigens embedded within MHCII molecules (pMHCII). It associates with three signaling modules (CD3γε, CD3δε, and CD3ζζ) to form TCR-CD3 complexes. CD4 is the coreceptor module. It reciprocally associates with TCR-CD3-pMHCII assemblies on the outside of a CD4+ T cells and with the Src kinase, LCK, on the inside. Previously, we reported that the CD4 transmembrane GGXXG and cytoplasmic juxtamembrane (C/F)CV+C motifs found in eutherian (placental mammal) CD4 have constituent residues that evolved under purifying selection (Lee et al., 2022). Expressing mutants of these motifs together in T cell hybridomas increased CD4-LCK association but reduced CD3ζ, ZAP70, and PLCγ1 phosphorylation levels, as well as IL-2 production, in response to agonist pMHCII. Because these mutants preferentially localized CD4-LCK pairs to non-raft membrane fractions, one explanation for our results was that they impaired proximal signaling by sequestering LCK away from TCR-CD3. An alternative hypothesis is that the mutations directly impacted signaling because the motifs normally play an LCK-independent role in signaling. The goal of this study was to discriminate between these possibilities. Using T cell hybridomas, our results indicate that: intracellular CD4-LCK interactions are not necessary for pMHCII-specific signal initiation; the GGXXG and (C/F)CV+C motifs are key determinants of CD4-mediated pMHCII-specific signal amplification; the GGXXG and (C/F)CV+C motifs exert their functions independently of direct CD4-LCK association. These data provide a mechanistic explanation for why residues within these motifs are under purifying selection in jawed vertebrates. The results are also important to consider for biomimetic engineering of synthetic receptors.

    1. Genetics and Genomics
    2. Immunology and Inflammation

    Transposable elements regulate thymus development and function

    Jean-David Larouche, Céline M Laumont ... Claude Perreault
    Research Article

    Transposable elements (TEs) are repetitive sequences representing ~45% of the human and mouse genomes and are highly expressed by medullary thymic epithelial cells (mTECs). In this study, we investigated the role of TEs on T-cell development in the thymus. We performed multiomic analyses of TEs in human and mouse thymic cells to elucidate their role in T-cell development. We report that TE expression in the human thymus is high and shows extensive age- and cell lineage-related variations. TE expression correlates with multiple transcription factors in all cell types of the human thymus. Two cell types express particularly broad TE repertoires: mTECs and plasmacytoid dendritic cells (pDCs). In mTECs, transcriptomic data suggest that TEs interact with transcription factors essential for mTEC development and function (e.g., PAX1 and REL), and immunopeptidomic data showed that TEs generate MHC-I-associated peptides implicated in thymocyte education. Notably, AIRE, FEZF2, and CHD4 regulate small yet non-redundant sets of TEs in murine mTECs. Human thymic pDCs homogenously express large numbers of TEs that likely form dsRNA, which can activate innate immune receptors, potentially explaining why thymic pDCs constitutively secrete IFN ɑ/β. This study highlights the diversity of interactions between TEs and the adaptive immune system. TEs are genetic parasites, and the two thymic cell types most affected by TEs (mTEcs and pDCs) are essential to establishing central T-cell tolerance. Therefore, we propose that orchestrating TE expression in thymic cells is critical to prevent autoimmunity in vertebrates.