Skip to main content

miR-124 attenuates Japanese encephalitis virus replication by targeting DNM2

Abstract

Background

Japanese encephalitis virus (JEV) is a mosquito-borne flavivirus that causes acute viral encephalitis in humans. Pigs are important amplifier hosts of JEV. Emerging evidence indicates that host microRNAs (miRNAs) play key roles in modulating viral infection and pathogenesis. However, mechanistic studies delineating the roles of miRNAs in regulating host-JEV interactions remain scarce.

Results

In this study, we demonstrated that miR-124 inhibited JEV replication in porcine kidney epithelial PK15 cells. Furthermore, using bioinformatics tools, we identified dynamin2 (DNM2), a GTPase responsible for vesicle scission, as a target of miR-124. Small interfering RNA (siRNA) depletion studies inicated that dynamin2 was required for efficient JEV replication. We also demonstrated that upregulation of miR-124 expression corresponded to decreased expression of its target, DNM2, in the JEV-infected PK15 cells.

Conclusions

Overall, these results suggest the importance of miR-124 in modulating JEV replication and provide a scientific basis for using cellular miRNAs in anti-JEV therapies.

Background

Japanese encephalitis virus (JEV) is a mosquito-borne neurotropic virus that belongs to the family flaviviridae. JEV is mostly prevalent in eastern, southeastern and southern Asian countries where three billion people are at risk of contracting the disease [1]. A 2011 review estimated that the annual incidence was 1.8/100,000 and 5.4/100,000 for children 0-14 years old in 24 JEV endemic countries [2]. JEV is transmitted in an enzootic cycle between mosquito vectors and vertebrate hosts; humans contract JEV when bitten by an infected mosquito. Pigs act as amplifying hosts of JEV; therefore, the domestic pig was considered to be a risk factor in the transmission of the disease to humans [3, 4]. JEV is also one of the main causes of infectious reproductive failure in swine, and this has resulted in significant economic losses for the swine industry. The primary symptoms of pigs infected with JEV are fetal abortion and stillbirth in infected sows and aspermia in boars [5, 6]. In order to elucidate the pathogenesis of JEV in pigs, numerous studies on JEV have been conducted in PK-15 cells, a porcine kidney epithelial cell line, which have a similar susceptibility as skin epithelial cells to JEV [7–9]. Therefore, PK-15 cells are a good model in which to evaluate the host response to JEV infection.

MicroRNAs (miRNAs) are small non-coding RNAs of approximately 22 nucleotides in length, which play a crucial role in the post-transcriptional regulation of genes involved in fundamental biological processes, including cell differentiation, proliferation, apoptosis and cell signaling [10, 11]. miRNAs regulate gene expression by guiding the RNA-induced silencing complex (RISC) to partially complementary sites within the 3’ UTR of target mRNAs via their seed region [12]. miRNAs have been shown to regulate the host antiviral response by altering the expression of host genes required for virus replication and antiviral response [13–16] or by directly targeting viral genomes and/or transcripts. [17–20]

Recent studies suggest that miRNAs play a notable role in cellular immune response during Japanese encephalitis virus infection [21–24]. For example, miR-15b and miR-155 were shown to induce an inflammatory response in JEV-infected microglial cells via suppression of RNF125 [21] and SHIP1 [23], respectively, whereas miR-146a was shown to inhibit the immune response against JEV by suppressing the JAK/STAT pathway in mouse monocytes [22]. In addition, miR-29b regulated JEV-induced microglia activation, and miR-155 suppressed JEV replication and negatively modulated innate immune responses in microglial cells [24, 25].

In this study, we investigated the role of host miRNAs in JEV infection of porcine cells. We show that expression of miR-124 is upregulated in response to JEV infection and that this results in the suppression of the target gene, DNM2, which is required for virus replication. Thus, we conclude that upregulation of miR-124 and the subsequent suppression of DNM2 represents a host response aimed at limiting JEV infection. Our study reveals an example of a miRNA that modulates JEV replication and also highlights a host factor that could be used for RNAi-mediated antiviral therapeutic strategies.

Results

miR-124 inhibits JEV replication

JEV enters the central nervous system and propagates in the neurons, causing a disruption to the blood–brain barrier that results in acute viral encephalitis in humans [26, 27]. miR-124 is highly expressed in neurons (representing 25 % to 48 % of all brain miRNAs), and it was first cloned from the mouse brain where it was later found to mediate neuronal differentiation [28, 29]. In addition, recent studies showed that miR-124 was differentially expressed in JEV-infected porcine cells [30]. Therefore, miR-124 may play a notable role in JEV infection.

In order to examine the effect of miR-124 on JEV replication, PK15 cells were transfected with either a miR-124 mimic or a nonspecific (NC) mimic at a concentration of 50 nM, and then were infected with JEV at MOI = 1 after 36 h of transfection. We examined virus production and viral gene expression via flow cytometry assays and western blot analyses. JEV infection was significantly reduced in cells transfected with the miR-124 mimic (Fig. 1A, B), and the expression of JEV E protein was also decreased when compared to cells transfected with the NC mimic (Fig. 1C). The observed changes in the JEV replication efficiency of cells transfected with the miR-124 mimic provide strong evidence for the antiviral activity of miR-124.

Fig. 1
figure 1

miR-124 attenuates JEV replication in PK15 cells. PK15 cells were transfected with synthetic mimics specific to miR-124 or nonspecific (NC) mimics. At 48 h post-transfection, cells were infected with JEV at MOI = 1. a Representative images of flow cytometry analyses for JEV infected cells at 24 hpi. Dots above the solid line represent JEV-infected cells. b The percentage of internalized viruses in transfected cells was determined by flow cytometry and normalized to the value for the NC group. The results are presented as the mean ± SD of three independent experiments. c At 36 hpi, JEV E protein was analyzed by western blot analysis. β-actin was used as an internal loading control. -, control without JEV infection, **p < 0.01

JEV genomic RNA is not a target of miR-124

Host miRNAs were shown to influence the life cycle of RNA viruses by altering host cell gene expression [31, 32]. In addition, many miRNAs have been shown to interact directly with the viral genome RNA to inhibit virus replication [33–35]. In order to determine whether miR-124 inhibits JEV replication via a direct interaction with viral RNA, computational screening of viral RNA for potential miR-124 binding sites was performed.

We used ViTa software [36] to identify two potential miR-124 binding sites in the genomic RNA of the JEV strain. The two miR-124 binding sites are located in the E and NS4B genes (Fig. 2A).

Fig. 2
figure 2

JEV genomic RNA is not the target of miR-124. a Computational prediction of potential miR-124 target sites in JEV genomic RNA. Sequence alignments of 10 representative JEV strains. b Effect of miR-124 mimic on the expression of luciferase from reporter constructs. Sequences of predicted target sites in the JEV genome were inserted into the dual luciferase reporter vector. BHK-21 cells were co-transfected with reporter constructs and the miR-124 or nonspecific (NC) miRNA mimics. The luciferase assay was performed 24 h after the transfection. Renilla luciferase values were normalized against firefly luciferase values. NS, not significant

These predictions were then validated by a luciferase reporter assay. Nucleotide sequences from JEV RNA predicted to interact with miR-124 were inserted into the 3’UTR of h-luc in the psiCHECK-2 vector. BHK-21 cells were co-transfected with the reporter construct and miR-124 mimic, and then assayed for luciferase activity at 24 h post-transfection (hpt). However, transfection of the miR-124 mimic did not significantly alter the expression of luciferase from the reporter constructs bearing either of the predicted miR-124 target sites from the JEV RNA (Fig. 2B). Therefore, the mechanism by which miR-124 inhibits virus replication is likely to involve miR-124-mediated regulation of host genes.

DNM2 is a target of miR-124

Because miR-124 did not target the JEV RNA, we instead focused on exploring host factors that may be involved in these antiviral processes. To elucidate which host genes are targeted by miR-124, a genome-wide computational analysis of all potential miR-124 targets was performed using the TargetScan software (http://www.targetscan.org/) [37]. A cluster analysis further narrowed the number of predictions and showed that there were 28 genes (Additional file 1) involved in endocytosis pathways, including the DNM2 gene which plays a critical role in viral endocytosis. The two miR-124 binding sites in the 3’UTR of DNM2 were conserved in Vertebrata, which includes pigs, mice and humans. Interestingly, nucleotides 3–8 of the miR-124 (fall within seed region) was perfectly complementary with DNM 3’UTR in the miR-124 site 2, the other target position from the canonical seed region (nucleotides 2–8). (Fig. 3A).

Fig. 3
figure 3

miR-124 interacts with the predicted target site in the 3’UTRs of DNM2 mRNA. a Potential base pairing is indicated by vertical lines between the sequence of miR-124 (bold) and its target sequences within the 3’ UTR of DNM2 in pig, human and mouse. The DNM2 3’UTR mutants (Mut1 and Mut2), containing a mutated miR-124 binding site, are shown. b BHK-21 cells were co-transfected with luciferase reporter vectors containing the wild type or mutant 3’UTR of porcine DNM2 and the miR-124 mimic or miR-negative control. The luciferase assay was performed 24 h after the transfection. Renilla luciferase values were normalized against firefly luciferase values, **p < 0.01, NS, not significant

To confirm that miR-124 directly targets the 3’UTR of DNM2, dual-luciferase reporter plasmids (psiCHECK2 Vector) carrying the DNM2 3’UTR with the wild-type or base-pair mutant miR-124 binding regions was constructed (Fig. 3A). After co-transfection of BHK-21 cells with psiCHECK2-DNM2 3’UTR and miR-124 mimic, the luciferase activity was measured at 24 hpt. Luciferase activity markedly decreased when cells were co-transfected with the miR-124 mimic and wild-type or mutant target site1(Mut1) DNM2 3’UTR plasmids in comparison with NC mimic (Fig. 3B). However, the DNM2 3’UTR Mut2 reversed the inhibition of luciferase activity compared to DNM2 3’UTR wild-type (Fig. 3B). Therefore,

miR-124 targets pig DNM2 gene mainly interacting with the second target site (miR-124 site2) of DNM 3’UTR. In addition, we assessed the effect of miR-124 mimic transfections on porcine DNM2 mRNA and protein levels. PK15 cells were transfected with miR-124 specific or nonspecific miRNA mimics, and at 48 hpt, the expression of DNM2 was analyzed by qRT-PCR and western blot analysis. The expression of miR-124 was significantly increased in the miR-124 transfection group when compared to the NC mimic (Fig. 4A). Transfection of the miR-124 mimic resulted in a significant reduction in the mRNA and protein levels of the porcine DNM2 gene compared to cells transfected with the NC mimic (Fig. 4B, C).

Fig. 4
figure 4

miR-124 suppresses porcine DNM2 expression. PK15 cells were transfected with nonspecific (NC) or miR-124 mimics as indicated. The expression level of miR-124 (a) and DNM2 mRNA (b) was assessed by qRT-PCR at 48 h after transfection. Expression levels of miR-124 and DNM2 were normalized to U6 snRNA and RPL32, respectively. c Western blot analysis of dynamin-2 expression in cells transfected with the NC and miR-124 mimics at 48 h after transfection. β-actin was used as a loading control, **p < 0.01

DNM2 is required for JEV replication

In order to elucidate the role of DNM2 in JEV infection, we assessed viral replication in cells depleted in DNM2 by siRNA. PK15 cells were transfected with siRNA specific to porcine DNM2 or with nonspecific siRNA. The efficiency of siRNA-mediated knockdown of DNM2 was first determined by western blotting at 48 hpt. DNM2 knockdown was highly efficient, resulting in a 70 % decrease in DNM2 expression (Fig. 5A). To determine the effect of DMN2 depletion on JEV infection, cells transfected with siRNA were infected with an MOI = 1 of JEV at 48 hpt. Samples of cells were collected at 36 h post-infection (hpi) and the positively infected cells were determined by flow cytometry. The DNM2 knockdown cells showed a significant reduction in JEV infection compared to cells transfected with the control siRNA (Fig. 5B). These results show that DNM2 is necessary for JEV replication.

Fig. 5
figure 5

Effect of DNM2 depletion on JEV replication. PK15 cells were transfected with siRNA targeting DNM2 or non-targeting siRNA (siCtrl). a Dynamin-2 knockdown effect was analyzed at 48 h post-transfection by immunoblotting. b The transfected cells were infected with JEV at 48 h post-transfection and samples were collected at 36 hpi. The percentage of internalized viruses in the transfected cells was determined by flow cytometry and normalized to the value for the siCtrl, *p < 0.05

miR-124 and DNM2 are inversely affected by JEV infection

Previous studies indicated that expression of miR-124 is upregulated by JEV in swine testis cells [30]. DNM2 is required for the scission of nascent vesicles from parent membranes during endocytic events, which is believed to benefit JEV replication [38, 39]. To determine the levels of miR-124 and DNM2 during JEV infection, PK15 cells were infected with JEV, and the miR-124 and DNM2 mRNA levels were subsequently quantitated by qRT-PCR at different times post-infection. miR-124 levels increased as early as 4 hpi and showed modest increases of 1.2 to 1.5-fold in the first 24 hpi. At 36 and 48 hpi, miR-124 levels increased abruptly (8-fold) (Fig. 6A). In contrast, the DNM2 mRNA levels slightly increased as early as the first 12 hpi, and then declined gradually to 30 % of uninfected controls by 36 hpi (Fig. 6A). Dynamin-2 levels decreased after JEV infection at different time points (Fig. 6B). These results demonstrate that expression of miR-124 and DNM2 are differentially modulated by JEV infection, which indicates that miR-124 and DNM2 play different roles in influencing JEV replication.

Fig. 6
figure 6

Expression of miR-124 and DNM2 in PK15 cells during JEV infection. a PK15 cells were infected with JEV. Mock-infected (M) or virus-infected (V) cells were harvested at the indicated times, and the miR-124 and DNM2 RNA levels were quantified using qRT-PCR. The data were normalized to the levels measured in mock-infected cells to provide relative expression levels (V/M). The results shown are means ± SD with triplicate data points. b Replicate cell cultures were evaluated by western blot for DNM2 protein expression. β-actin serves as a loading control

Discussion

MicroRNAs serve as multifunctional regulators, and the significance of miRNAs in virus-host interactions is becoming evident. A growing number of studies show that host miRNAs can drastically influence virus replication, either by facilitating enhanced replication [40] or by mediating the host antiviral response [17]. Therefore, many viruses, including JEV, modulate the expression of specific cellular miRNAs [22–25]. JEV is a significant pathogen of acute CNS inflammatory disease in humans. In addition, pigs act as amplifying hosts of JEV. However, the role of host miRNAs in JEV-host interactions and pathogenesis has not been extensively studied.

miR-124 is highly expressed in neurons, and it plays a notable role in neuronal differentiation [28]. In addition, miR-124 was attenuated in several tumors, and the overexpression of miR-124 inhibited the metastasis of breast cancer and hepatocellular carcinoma [41, 42]. Interestingly, previous studies showed that miR-124 could play an important role in virus entry by disturbing receptor-mediated endocytosis, and miR-124 was upregulated in JEV-infected porcine cells [30, 43]. These results suggest that miR-124 may be involved in the regulation of JEV infection. In order to determine the biological role of miR-124 in the host response to JEV infection, miR-124 was overexpressed through miRNA mimic transfection in order to assess its effect on JEV replication. The flow cytometry and Western blot experiments revealed that miR-124 exhibited a significant antiviral effect (Fig. 1). Thus, the key new finding of this study is that miR-124 is an anti-JEV miRNA.

miRNAs regulate many biological processes by interacting with their target genes. Host miRNAs were previously shown to directly target viral genomic RNAs; for example, miR-122 facilitates hepatitis C virus replication [44], while miR-130b and miR-181 suppress the porcine reproductive and respiratory syndrome virus (PRRSV) [19, 45]. According to the online software analysis, there were two potential miR-124 binding sites in the JEV genomic RNA. However, the luciferase reporter assay showed that miR-124 does not directly interact with the 2 predicted sites in the JEV RNA (Fig. 2). These data indicate that the antiviral effect of miR-124 is mediated by its interaction with the host genes. In order to test this hypothesis, we screened for miR-124 targets using TargetScan and ultimately focused on the DNM2 gene. The luciferase reporter assay showed that miR-124 directly interacts with the 3’ UTR of DNM2 and that DNM2 mRNA and protein levels were reduced in cells overexpressing miR-124 (Figs. 3 and 4).

Dynamin-2, a GTPase responsible for vesicle scission, forms helical polymers around the membrane neck of nascent endocytic buds and, upon GTP hydrolysis, mediates the fission of vesicles from the plasma membrane [46]. Thus, the research showed that other factors may assist with the action of dynamin-2 in vivo because dynamin-2 is sufficient to mediate membrane fission [47]. In addition, dynamin-2 was required for the caveolae and clathrin-mediated endocytosis pathways [47, 48]. We previously found that JEV infected PK15 cells via clathrin-dependent endocytosis [8], and miR-124 reduced caveolar density in porcine PK15 cells [43]. Therefore, dynamin-2 may play an important role in JEV infection. Indeed, siRNA knockdown was performed in order to assess its effect on JEV replication in DNM2 depleted cells. The knockdown experiment demonstrated that dynamin-2 was required for JEV replication (Fig. 5). However, the step at which the inhibition of JEV infection by dynamin-2 occurs, perhaps at entry, still needs to be demonstrated.

Previous studies using high-throughput sequencing technology found that miR-124 was downregulated by JEV in swine testis cells [30]. In this study, quantitative methods were used to determine expression levels of miR-124 in PK15 cells before and after JEV infection. The results confirmed the previous reports and further showed that miR-124 was upregulated immediately upon infection (4 hpi) and remained upregulated throughout the infection. In contrast, DNM2 expression levels increased during early JEV infection (first 12 hpi) and then sharply declined (24 hpi) in mRNA level, however, DNM2 protein level always remained downregulated throughout the infection (Fig. 6). Considering the important role of DNM2 in the regulation of virus entry, it is possible that miR-124-mediated suppression of DNM2 expression may block JEV-induced vesicle scission, thereby contributing to the antiviral effect of miR-124. However, miR-124 may also target other host regulators, and their roles in JEV replication may have yet to be evaluated.

Conclusion

Taken together, this study demonstrates that overexpression of miR-124 inhibits JEV replication in PK15 cells. Subsequently, miR-124 suppresses expression of the DNM2 gene via targeting its 3’ UTR sequence. DNM2 is required for efficient JEV replication. In addition, the expression of miR-124 and DNM2 is inversely affected by JEV infection. This finding implies that the miR-124-DNM2-pathway plays an important role in the suppression of virus replication. These findings further highlight that mammalian miRNAs may have important implications for controlling virus infections.

Methods

Cell culture, transfection and viral infection

PK15 and baby hamster kidney (BHK-21) cell lines (obtained from the American Type Culture Collection, Manassas, VA) were grown in Dulbecco’s Modified Eagle Medium (DMEM, High glucose, Thermo Scientific Hyclone, Beijing, China) supplemented with 10 % fetal bovine serum (Gibco, Life Technologies, Austin, TX) and maintained in a humidified incubator at 37 °C and 5 % CO2.

The miRNA mimics and siRNA (siDNM2) were synthesized by GenePharma (Shanghai, China). The sequences of siDNM2 and mimics were as follows: siDNM2 5’-GGACAUGAUCCUGCAGUUTT-3’ [49], miR-124 mimics: 5’- UAAGGCACGCGGUGAAUGCCA-3’, NC (Negative control): 5’-UUCUCCGAACGUGUCACGUTT-3’. PK15 cells were seeded in 24- or 6-well plates and grown to approximately 50 % confluence for transfection. The cells were transfected with 50 pmol miRNA mimics or siDNM2 using Lipofectamine 2000 reagent (Invitrogen, Carlsbad, CA) according to the manufacturer’s protocol. The cells were cultured at the indicated times before harvesting.

The JEV attenuated strain SA14-14-2 (GenBank accession: AF315119.1) was propagated in BHK-21 cells as described previously [8]. All infections were carried out by incubating the cells with a small volume of medium (300 μL in per well of 6-well cell culture plate) containing virus at the MOI = 1, then the inoculum was removed, the cells were washed three times with Phosphate Buffered Saline (PBS, Thermo Scientific Hyclone, Beijing, China) and fresh media was added. Infections were performed and the infected cells were maintained in DMEM supplemented with 2 % FBS.

RNA extraction, reverse transcription, and quantitative real-time PCR (qPCR)

Total RNA was isolated using TRIzol reagent according to the manufacturer’s instructions. Genomic DNA was removed from RNA samples by incubation with DNase I (Promega). The synthesis of cDNA was conducted with 1 μg of total RNA using an RT-PCR reagent kit (PrimeScript™ 1st Strand cDNA Synthesis Kit, TaKaRa Biotechnology, DaLian, China) with an oligo-dT primer for mRNA and a special stem-loop primer for miRNAs [50]. Real-time quantitative PCR was performed on an Stratagene Mx3000P instrument (Agilent), using SYBR Green detection chemistry (SYBR® Premix Ex Taq™ II, TaKaRa). Relative expression levels were calculated by applying the 2-ΔΔCt method [51] using reference gene RPL32 for mRNA and U6 snRNA for miRNA relative to the control samples. The PCR program was: 95 °C for 2 min followed by 40 cycles of 95 °C for 10 s, 60°Cfor 20 s, and 72 °C for 15 s followed by melting curve analysis. The sequences of the qPCR primers are listed in Table 1.

Table 1 Primers used for reverse transcription, real-time quantification PCR

Protein extraction and western blot

Cells were harvested 48 h after transfection, and lysates were prepared using RIPA buffer (50 mM Tris (pH 7.4), 150 mM NaCl, 1 % Triton X-100, 1 % sodium deoxycholate, 0.1 % SDS, 1 mM phenylmethylsulfonyl fluoride [PMSF], Beyotime, China). The protein concentration was determined with the BCA Protein Assay kit (Solarbio, China). Equal amounts of protein lysate were separated on 12 % SDS-polyacrylamide gels and transferred to PVDF membranes (Millipore). The membranes were blocked with 5 % nonfat milk in Tris-buffered saline containing 0.1 % Tween-20 (TBST) and then incubated with primary antibodies specific for mouse anti-JEV E, goat anti-Dynamin-2 (sc-6400, Santa Cruz), or rabbit anti-ß-Actin (#4967,1:1000, Cell Signaling) overnight at 4 °C. Membranes were then washed three times and incubated with a horseradish peroxidase-conjugated secondary antibody (Proteintech Group, Wuhan, China) for 1 h at ambient temperature. Finally, protein bands were visualized by addition of the SuperSignal West Pico chemiluminescent substrate (Thermo, Rockford, IL), with β-actin as a control. The mean densities of the protein bands were measured by ImageJ software (National Institutes of Health, Bethesda, Maryland).

Plasmid construction and luciferase reporter assay

Luciferase reporter plasmids were constructed by cloning double-stranded synthetic oligonucleotides (Table 2) containing miRNA target sequences flanked by XhoI and NotI sites into the XhoI/NotI digested psiCHECK-2 Dual-Luciferase Expression Vector (Promega, Madison, WI). All constructs were verified by sequencing using the universal primers listed in Table 2. BHK-21 cells were co-transfected with 200 ng of the psiCHECK2 constructs and 30 nM of the miR-124 mimic or miR-negative control in each well of a 24-well plate. Twenty-four hours after transfection, firefly and Renilla luciferase activities were measured using the Dual-Glo Luciferase assay system (Promega) according to the manufacturer’s instructions. Normalized data were calculated as the quotient of Renilla/firefly luciferase activities. Three independent experiments were performed in triplicate.

Table 2 Primers used for luciferase reporter gene vector construct

Flow cytometry

PK15 cells infected with JEV were washed one time with PBS, detached and transferred to 1.5 ml centrifuge tubes. The cells were centrifuged at 1000 rpm/min for 10 min and fixed with 4 % paraformaldehyde (Solarbio, Beijing, China) for 15 min at room temperature. After being permeabilized with Triton X-100(amresco, Solon, OH), the cells were incubated with mouse anti-JEV E antibody overnight at 4 °C. The cells were washed 3 times with PBS then incubated with Alexa Fluor 488 goat anti-mouse IgG (Invitrogen) at 1:200 for 1 h at room temperature and protected from light. The cells were washed with PBS, resuspended in 500 μl PBS and analyzed using a FACScan flow cytometer with CellQuest pro software (BD Biosciences, San Jose, CA). The cells were counted as infected if their fluorescence density was greater than the intensity of the uninfected cells. The amount of infected cells relative to the untreated or siCtrl-transfected controls was given as percent infection. At least 10,000 cells were analyzed per sample. Three independent experiments were performed in triplicate.

Statistical analysis

The results were presented as the mean ± standard deviation (SD). Statistical significance was assessed by Student’s t-test, and statistical significance was ascribed when *p < 0.05, **p < 0.01.

References

  1. Solomon T. Control of Japanese encephalitis--within our grasp? N Engl J Med. 2006;355:869–71.

    Article  CAS  PubMed  Google Scholar 

  2. Campbell GL, Hills SL, Fischer M, Jacobson JA, Hoke CH, Hombach JM, Marfin AA, Solomon T, Tsai TF, Tsu VD, Ginsburg AS. Estimated global incidence of Japanese encephalitis: a systematic review. Bull World Health Organ. 2011;89:766–74. 774A-774E.

    Article  PubMed  PubMed Central  Google Scholar 

  3. van den Hurk AF, Ritchie SA, Mackenzie JS. Ecology and geographical expansion of Japanese encephalitis virus. Annu Rev Entomol. 2009;54:17–35.

    Article  PubMed  Google Scholar 

  4. Erlanger TE, Weiss S, Keiser J, Utzinger J, Wiedenmayer K. Past, present, and future of Japanese encephalitis. Emerg Infect Dis. 2009;15:1–7.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Takashima I, Watanabe T, Ouchi N, Hashimoto N. Ecological studies of Japanese encephalitis virus in Hokkaido: interepidemic outbreaks of swine abortion and evidence for the virus to overwinter locally. Am J Trop Med Hyg. 1988;38:420–7.

    CAS  PubMed  Google Scholar 

  6. Burns KF. Congenital Japanese B encephalitis infection of swine. Proc Soc Exp Biol Med. 1950;75:621–5.

    Article  CAS  PubMed  Google Scholar 

  7. Liu K, Liao X, Zhou B, Yao H, Fan S, Chen P, Miao D. Porcine alpha interferon inhibit Japanese encephalitis virus replication by different ISGs in vitro. Res Vet Sci. 2013;95:950–6.

    Article  CAS  PubMed  Google Scholar 

  8. Yang S, He M, Liu X, Li X, Fan B, Zhao S. Japanese encephalitis virus infects porcine kidney epithelial PK15 cells via clathrin- and cholesterol-dependent endocytosis. Virol J. 2013;10:258.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Cai Y, Zhu L, Zhou Y, Liu X, Li X, Lang Q, Qiao X, Xu Z. Identification and analysis of differentially-expressed microRNAs in Japanese encephalitis virus-infected PK-15 cells with deep sequencing. Int J Mol Sci. 2015;16:2204–19.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Bartel DP. MicroRNAs: genomics, biogenesis, mechanism, and function. Cell. 2004;116:281–97.

    Article  CAS  PubMed  Google Scholar 

  11. Calin GA, Croce CM. MicroRNA signatures in human cancers. Nat Rev Cancer. 2006;6:857–66.

    Article  CAS  PubMed  Google Scholar 

  12. Carthew RW, Sontheimer EJ. Origins and Mechanisms of miRNAs and siRNAs. Cell. 2009;136:642–55.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Fu YR, Liu XJ, Li XJ, Shen ZZ, Yang B, Wu CC, Li JF, Miao LF, Ye HQ, Qiao GH, Rayner S, Chavanas S, Davrinche C, Britt WJ, Tang Q, McVoy M, Mocarski E, Luo MH. MicroRNA miR-21 attenuates human cytomegalovirus replication in neural cells by targeting Cdc25a. J Virol. 2015;89:1070–82.

    Article  PubMed  Google Scholar 

  14. Tang WF, Huang RT, Chien KY, Huang JY, Lau KS, Jheng JR, Chiu CH, Wu TY, Chen CY, Horng JT. Host miR-197 plays a negative regulatory role in the enterovirus 71 infectious cycle by targeting the RAN protein. J Virol. 2015;18:1424–38.

    Google Scholar 

  15. Huang JY, Chou SF, Lee JW, Chen HL, Chen CM, Tao MH, Shih C. MicroRNA-130a can inhibit hepatitis B virus replication via targeting PGC1alpha and PPARgamma. RNA. 2015;21:385–400.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Zhao L, Zhu J, Zhou H, Zhao Z, Zou Z, Liu X, Lin X, Zhang X, Deng X, Wang R, Chen H, Jin M. Identification of cellular microRNA-136 as a dual regulator of RIG-I-mediated innate immunity that antagonizes H5N1 IAV replication in A549 cells. Sci Rep. 2015;5:14991.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Bai XT, Nicot C. miR-28-3p is a cellular restriction factor that inhibits HTLV-1 replication and virus infection. J Biol Chem. 2015;27:5381–90.

    Article  Google Scholar 

  18. Skalsky RL, Cullen BR. Viruses, microRNAs, and host interactions. Annu Rev Microbiol. 2010;64:123–41.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Li L, Gao F, Jiang Y, Yu L, Zhou Y, Zheng H, Tong W, Yang S, Xia T, Qu Z, Tong G. Cellular miR-130b inhibits replication of porcine reproductive and respiratory syndrome virus in vitro and in vivo. Sci Rep. 2015;5:17010.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  20. Jopling CL, Yi M, Lancaster AM, Lemon SM, Sarnow P. Modulation of hepatitis C virus RNA abundance by a liver-specific MicroRNA. Science. 2005;309:1577–81.

    Article  CAS  PubMed  Google Scholar 

  21. Zhu B, Ye J, Nie Y, Ashraf U, Zohaib A, Duan X, Fu ZF, Song Y, Chen H, Cao S. MicroRNA-15b Modulates Japanese Encephalitis Virus-Mediated Inflammation via Targeting RNF125. J Immunol. 2015;195:2251–62.

    Article  CAS  PubMed  Google Scholar 

  22. Sharma N, Verma R, Kumawat KL, Basu A, Singh SK. miR-146a suppresses cellular immune response during Japanese encephalitis virus JaOArS982 strain infection in human microglial cells. J Neuroinflammation. 2015;12:30.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Thounaojam MC, Kundu K, Kaushik DK, Swaroop S, Mahadevan A, Shankar SK, Basu A. MicroRNA 155 regulates Japanese encephalitis virus-induced inflammatory response by targeting Src homology 2-containing inositol phosphatase 1. J Virol. 2014;88:4798–810.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Pareek S, Roy S, Kumari B, Jain P, Banerjee A, Vrati S. MiR-155 induction in microglial cells suppresses Japanese encephalitis virus replication and negatively modulates innate immune responses. J Neuroinflammation. 2014;11:97.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Thounaojam MC, Kaushik DK, Kundu K, Basu A. MicroRNA-29b modulates Japanese encephalitis virus-induced microglia activation by targeting tumor necrosis factor alpha-induced protein 3. J Neurochem. 2014;129:143–54.

    Article  CAS  PubMed  Google Scholar 

  26. Li F, Wang Y, Yu L, Cao S, Wang K, Yuan J, Wang C, Cui M, Fu ZF. Viral Infection of the Central Nervous System and Neuroinflammation Precede Blood-Brain Barrier Disruption during Japanese Encephalitis Virus Infection. J Virol. 2015;89:5602–14.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. Chen CJ, Ou YC, Li JR, Chang CY, Pan HC, Lai CY, Liao SL, Raung SL, Chang CJ. Infection of pericytes in vitro by Japanese encephalitis virus disrupts the integrity of the endothelial barrier. J Virol. 2014;88:1150–61.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Makeyev EV, Zhang J, Carrasco MA, Maniatis T. The MicroRNA miR-124 promotes neuronal differentiation by triggering brain-specific alternative pre-mRNA splicing. Mol Cell. 2007;27:435–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Lagos-Quintana M, Rauhut R, Yalcin A, Meyer J, Lendeckel W, Tuschl T. Identification of Tissue-Specific MicroRNAs from Mouse. Curr Biol. 2002;12:735–9.

    Article  CAS  PubMed  Google Scholar 

  30. Zhang Y, Jing J, Li X, Wang J, Feng X, Cao R, Chen P. Integration analysis of miRNA and mRNA expression profiles in swine testis cells infected with Japanese encephalitis virus. Infect Genet Evol. 2015;32:342–7.

    Article  CAS  PubMed  Google Scholar 

  31. Zhu X, He Z, Hu Y, Wen W, Lin C, Yu J, Pan J, Li R, Deng H, Liao S, Yuan J, Wu J, Li J, Li M. MicroRNA-30e* Suppresses Dengue Virus Replication by Promoting NF-kappaB-Dependent IFN Production. PLoS Negl Trop Dis. 2014;8:e3088.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Zhao F, Xu G, Zhou Y, Wang L, Xie J, Ren S, Liu S, Zhu Y. MicroRNA-26b Inhibits Hepatitis B Virus Transcription and Replication by Targeting the Host Factor CHORDC1. J Biol Chem. 2014;289:35029–41.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Zhou Z, Li X, Liu J, Dong L, Chen Q, Kong H, Zhang Q, Qi X, Hou D, Zhang L,Zhang G, Liu Y, Zhang Y, Li J, Wang J,Chen X,Wang H, Zhang J, Chen H, Zen K, Zhang CY. Honeysuckle-encoded atypical microRNA2911 directly targets influenza A viruses. Cell Res. 2014;25:39–49.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Zhang Q, Guo XK, Gao L, Huang C, Li N, Jia X, Liu W, Feng WH, MicroRNA-23 inhibits PRRSV replication by directly targeting PRRSV RNA and possibly by upregulating type I interferons. Virology. 2014;450–451:182–95.

    Article  PubMed  Google Scholar 

  35. Zheng Z, Ke X, Wang M, He S, Li Q, Zheng C, Zhang Z, Liu Y, Wang H. Human microRNA hsa-miR-296-5p suppresses enterovirus 71 replication by targeting the viral genome. J Virol. 2013;87:5645–56.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Hsu PW, Lin LZ, Hsu SD, Hsu JB, Huang HD. ViTa: prediction of host microRNAs targets on viruses. Nucleic Acids Res. 2007;35:D381–5.

    Article  CAS  PubMed  Google Scholar 

  37. Lewis BP, Burge CB, Bartel DP. Conserved seed pairing, often flanked by adenosines, indicates that thousands of human genes are microRNA targets. Cell. 2005;120:15–20.

    Article  CAS  PubMed  Google Scholar 

  38. Kalia M, Khasa R, Sharma M, Nain M, Vrati S. Japanese Encephalitis Virus Infects Neuronal Cells through a Clathrin Independent Endocytic Mechanism. J Virol. 2012;87:148–62.

    Article  PubMed  Google Scholar 

  39. Zhu YZ, Xu QQ, Wu DG, Ren H, Zhao P, Lao WG, Wang Y, Tao QY, Qian XJ, Wei YH, Cao MM, Qi ZT. Japanese encephalitis virus enters rat neuroblastoma cells via a pH-dependent, dynamin and caveola-mediated endocytosis pathway. J Virol. 2012;86:13407–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Ru J, Sun H, Fan H, Wang C, Li Y, Liu M, Tang H. MiR-23a facilitates the replication of HSV-1 through the suppression of interferon regulatory factor 1. PLoS One. 2014;9:e114021.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Liang YJ, Wang QY, Zhou CX, Yin QQ, He M, Yu XT, Cao DX, Chen GQ, He JR, Zhao Q. MiR-124 targets Slug to regulate epithelial-mesenchymal transition and metastasis of breast cancer. Carcinogenesis. 2013;34:713–22.

    Article  CAS  PubMed  Google Scholar 

  42. Zheng F, Liao YJ, Cai MY, Liu YH, Liu TH, Chen SP, Bian XW, Guan XY, Lin MC, Zeng YX, Kung HF, Xie D. The putative tumour suppressor microRNA-124 modulates hepatocellular carcinoma cell aggressiveness by repressing ROCK2 and EZH2. Gut. 2011;61:278–89.

    Article  PubMed  Google Scholar 

  43. Yang S, Liu X, Li X, Sun S, Sun F, Fan B, Zhao S. MicroRNA-124 reduces caveolar density by targeting caveolin-1 in porcine kidney epithelial PK15 cells. Mol Cell Biochem. 2013;384:213–9.

    Article  CAS  PubMed  Google Scholar 

  44. Bandiera S, Pfeffer S, Baumert TF, Zeisel MB. miR-122 - a key factor and therapeutic target in liver disease. J Hepatol. 2015;62:448–57.

    Article  CAS  PubMed  Google Scholar 

  45. Gao L, Guo XK, Wang L, Zhang Q, Li N, Chen XX, Wang Y, Feng WH. MicroRNA 181 suppresses porcine reproductive and respiratory syndrome virus (PRRSV) infection by targeting PRRSV receptor CD163. J Virol. 2013;87:8808–12.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Doherty GJ, McMahon HT. Mechanisms of endocytosis. Annu Rev Biochem. 2009;78:857–902.

    Article  CAS  PubMed  Google Scholar 

  47. Ferguson SM, De Camilli P. Dynamin, a membrane-remodelling GTPase. Nat Rev Mol Cell Biol. 2012;13:75–88.

    CAS  PubMed  PubMed Central  Google Scholar 

  48. Sandvig K, Pust S, Skotland T, van Deurs B. Clathrin-independent endocytosis: mechanisms and function. Curr Opin Cell Biol. 2011;23:413–20.

    Article  CAS  PubMed  Google Scholar 

  49. Romer W, Berland L, Chambon V, Gaus K, Windschiegl B, Tenza D, Aly MR, Fraisier V, Florent JC, Perrais D, Lamaze C, Raposo G, Steinem C, Sens P, Bassereau P, Johannes L. Shiga toxin induces tubular membrane invaginations for its uptake into cells. Nature. 2007;450:670–5.

    Article  PubMed  Google Scholar 

  50. Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, Barbisin M, Xu NL, Mahuvakar VR, Andersen MR, Lao KQ, Livak KJ, Guegler KJ. Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res. 2005;33:e179.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Livak KJ, Schmittgen TD. Analysis of relative gene expression data using real-time quantitative PCR and the 2(-Delta Delta C(T)) Method. Methods. 2001;25:402–8.

    Article  CAS  PubMed  Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (31501921, 31372302), the Zhejiang Provincial Natural Science Foundation of China (LQ15C170001) and the Research Development Foundation of Zhejiang A&F University (2014FR068). We acknowledge Professor Shengbo Cao (Huazhong Agriculture University, Wuhan, China) for generously providing the JEV E protein antibody and JEV attenuated strain.

Authors’ contribution

S.Y. carried out most of the experiments and drafted the manuscript. Y.P. and Y.L. participated in the experiments. S.Z., M.Z. and A.Z. designed the study, supervised the work and edited the final version of this manuscript. All authors have read and approved the final version of the manuscript.

Competing interests

The authors declare that they have no competing interests.

Author information

Authors and Affiliations

Authors

Corresponding authors

Correspondence to Mengjin Zhu or Ayong Zhao.

Additional file

Additional file 1:

The pathways of predicted target genes of miR-124. (XLSX 19 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yang, S., Pei, Y., Li, X. et al. miR-124 attenuates Japanese encephalitis virus replication by targeting DNM2. Virol J 13, 105 (2016). https://doi.org/10.1186/s12985-016-0562-y

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12985-016-0562-y

Keywords