Abstract
The known virulence factor of Rift Valley fever virus (RVFV), the NSs protein, counteracts the antiviral effects of the type I interferon response. In this study we evaluated the expression of several genes in the liver and spleen involved in innate and adaptive immunity of mice immunized with a RVFV recombinant nucleocapsid protein (recNP) combined with Alhydrogel adjuvant and control animals after challenge with wild type RVFV. Mice immunized with recNP elicited an earlier IFNβ response after challenge compared to non-immunized controls. In the acute phase of liver infection in non-immunized mice there was a massive upregulation of type I and II interferon, accompanied by high viral titers, and the up- and downregulation of several genes involved in the activation of B- and T-cells, indicating that both humoral and cellular immunity is modulated during RVFV infection. Various genes involved in pro-inflammatory responses and with pro-apoptotic effects were strongly upregulated and anti-apoptotic genes were downregulated in liver of non-immunized mice. Expression of many genes involved in B- and T-cell immunity were downregulated in spleen of non-immunized mice but normal in immunized mice. A strong bias towards apoptosis and inflammation in non-immunized mice at an acute stage of liver infection associated with suppression of several genes involved in activation of humoral and cellular immunity in spleen, suggests that RVFV evades the host immune response in more ways than only by inhibition of type I interferon, and that immunopathology of the liver plays a crucial role in RVF disease progression.
Introduction
Rift Valley fever virus (RVFV), a mosquito borne Phlebovirus of the Bunyaviridae family, causes irregular but large outbreaks characterized by high fatality rates in young domestic ruminants and abortion storms in pregnant animals [1]–[3]. The RVFV RNA genome consists of large (L) and medium (M) segments which are in the negative sense, and a small (S) segment utilizing an ambisense coding strategy. The L segment encodes a viral RNA-dependent RNA polymerase, the M segment encodes two structural glycoproteins, two non-structural proteins, and the S segment encodes the nucleocapsid protein (NP) and a non-structural protein (NSs) [4], [5]. The NP is highly conserved and constitutes the most immunodominant viral protein in the Bunyaviridae family [6]–[11]. The NP associates with the viral RNA-dependent RNA polymerase and viral RNA to form the ribonucleoproteins (RNP) necessary for transcription and replication. The known virulence factor of RVFV, the NSs protein, counteracts the antiviral effects of the type I interferon response. Not much is known, however, about other molecular aspects of RVFV pathogenicity. Although the nucleocapsid protein (NP) of the virus does not induce production of neutralizing antibodies, anti-NP antibodies have been shown to be protective in mice [12]–[17]. Humoral responses against the RVFV glycoproteins effectively neutralize the virus and are believed to solely protect against challenge [14], [16], [18]–[20].
RVFV is sensitive to the actions of type I interferons [21]–[24] but it has developed several counteracting mechanisms. The NSs protein of RVFV interacts with a repressor complex (Sin3A/NCoR/HDAC) to inhibit transcriptional activation of the IFNβ gene [25], [26]. A more general shutdown of cellular gene expression is caused by interaction of NSs with the p44 subunit of the basal transcription factor II H (TFIIH), resulting in reduced transcriptional activity in RVFV infected cells [27]. The NSs has also been shown to act on a post-translational level by degrading Protein Kinase R (PKR) [28]. Interferon gamma (IFNγ) is a strong immunoregulator and has direct antiviral properties, but its role in the protection of the host against RVFV infection is debatable [29]. A study in rhesus monkeys showed that prophylactic treatment with recombinant human IFNγ before RVFV infection protected monkeys from clinical disease and decreased viremia significantly [30]. However, there was no marked difference in pathogenicity of RVFV MP-12 or Clone-13 in wild type mice compared to mice deficient in IFNγ receptor (IFNGR−/−), suggesting that NSs does not have the same inhibitory effect on the type II interferon response (IFNγ) as it has on the type I interferon response [31]. The RVFV M segment non-structural protein (NSm) was implicated in the pathogenesis of RVF by acting as an anti-apoptotic protein [32].
Do Valle et al. [33] utilizing microarray and quantitative PCR showed that a specific strain of mice, BALB/cByJ, was more resistant to RVFV infection when compared to a wild mouse strain, MBT/Pas. The study analyzed the expression of genes involved in the innate immune response by infecting mouse embryonic fibroblasts (MEF) isolated from both strains with RVFV in vitro, with results indicating a more significant type I IFN response in the BALB/cByJ MEFs.
The activation of adaptive immunity after RVFV infection at gene expression level in the main target organ for RVFV replication, the liver, as well as in the spleen which plays a very important role in host immunity, has not been investigated. A better understanding of the activation of memory humoral and cellular immune responses in these organs might aid the development of improved RVFV vaccines and identification of genes and their products as useful targets for development of gene therapy and antivirals. The role that anti-NP responses play in the protection of vaccinated individuals against RVFV infection is also not clearly understood.
The results from this study suggest that an earlier type I interferon response in recNP/Alhydrogel immunized mice contribute to decreased challenge virus replication, whereas upregulation of genes with the ability to result in immunopathology, combined with uncontrolled challenge virus replication, in non-immunized mice probably contributed to liver damage and morbidity, and downregulation of humoral and cellular immunity in the spleen possibly contributed to immune evasion.
Results
Immune response elicited by recNP/Alhydrogel immunization
The activation of either Th-1 cellular immunity, indicated by IgG2A subclass expression, or Th-2 humoral immunity, indicated by IgG1 subclass expression, was evaluated by testing serial bleeds after recNP/Alhydrogel immunization. Strong total IgG and IgG1 subclass responses were detectable by day 7 after the first immunization, with strong responses still detectable on the day before the booster inoculation (day 12) and RVFV challenge (day 27 after the booster)(IgG: average = 72.2 PP, standard deviation = 5.5 PP, OD405 nm = 0.79; IgG1: average = 46.7 PP, standard deviation = 5.3 PP, OD405 nm = 0.47 on day 12 after the initial immunization; IgG: average = 129.9 PP, standard deviation = 4.7 PP, OD405 nm = 1.42; IgG1: average = 131.3 PP, standard deviation = 12.0 PP, OD405 nm = 1.31 on day 27 after the booster, Figure 1). The IgG2A subclass response (IgG2A: average = 16.8 PP, standard deviation = 4.5 PP, OD405 nm = 0.16) was weak compared to IgG1 and only detectable on day 12 after the first immunization (PP ratio of IgG1∶IgG2A = 2.8∶1). On the day before RVFV challenge (IgG2A: average = 23.4 PP, standard deviation = 4.2 PP, OD405 nm = 0.22), a weak IgG2A response was still detectable(PP ratio of IgG1∶IgG2A = 5.6∶1) (Figure 1).
Dynamics of gene expression and virus load in livers and spleens of immunized and control mice
The normalized expression of IL-10, IFNγ and IFNβ was analyzed at 3, 6, 12, 24, 72 and 120 hours post RVFV infection in liver and spleen tissue of recNP immunized, and non-immunized adjuvant and PBS control mice. The results are shown in Figure 2a–f.
The expression of IL-10 was upregulated with statistical significance (4.5 fold, p<0.01) in adjuvant control mice but normal in recNP immunized mice at 3 hours p.i. in the liver (Figure 2a). At 72 and 120 hours p.i., however, IL-10 expression was massively upregulated in the adjuvant (72 hours, 808.3 fold, p = 0.033; 120 hours, 55.0 fold, p<0.01) and PBS control groups (72 hours, 243.3 fold, p<0.01; 120 hours, 99.3 fold, p = 0.034), and upregulated to a lesser extent in immunized mice (72 hours, 24.4 fold, p<0.01; 120 hours, 24.3 fold, p = 0.033) in the liver (Figure 2a). In the spleen expression of IL-10 was only upregulated significantly at 72 hours p.i. in control mice (adjuvant 46.0 fold, p<0.01; PBS 55.0 fold, p<0.01) (Figure 2b).
The expression of IFNγ was normal in all mice livers at 3 hours, but upregulated in all groups at 6 hours (recNP immunized, 17.2 fold, p<0.01; adjuvant control, 11.7 fold, p<0.01; PBS control, 9.3 fold, p<0.01), 72 hours (recNP immunized, 8.4 fold, p = 0.03; adjuvant control, 5.8 fold, p = 0.03; PBS control, 4.4 fold, p = 0.03) and 120 hours p.i. (recNP immunized, 23.4 fold, p = 0.03; adjuvant control 224.0 fold, p<0.01; PBS control 237.0 fold, p = 0.03) (Figure 2c). Expression of IFNγ remained unaltered in spleen tissue (Figure 2d).
At 3 hours post infection (p.i.) the expression of the IFNβ gene was significantly upregulated in the livers (7.7 fold, p = 0.03) and spleens (12.0 fold, p = 0.03) of recNP immunized mice, whereas expression was normal in adjuvant control and PBS control groups (Figure 2e–f). Expression of the gene remained upregulated in liver of immunized mice until 12 hours p.i., after which it waned (Figure 2e–f). In adjuvant control mice, IFNβ was massively upregulated at 72 hours p.i. in liver (2171.7 fold, p = 0.03) and spleen (542.3 fold, p<0.01), with similar results obtained in PBS control mice liver (2524.1 fold, p = 0.02) and spleen (510.3 fold, p<0.01) (Figure 2e–f). At 120 hours p.i. IFNβ expression remained upregulated in control mice liver.
The challenge virus was first detected in the tissues of adjuvant control mice at 24 hours p.i. and, subsequently, at high titers in adjuvant and PBS controls at 72 and 120 hours p.i. Low titer of the virus was detected in liver of recNP-immunized mice only at 72 hours p.i. (10,000 fold lower than control mice). Surprisingly the virus replicated to relatively higher titers in the spleen of recNP-immunized mice, but only at 72 hours and still 100 fold lower compared to control mice (Figure 3a–b).
The expression of genes involved in B- and T-cell immunity and other immune functions at 72 hours
The expression of an array of 84 genes involved in B- and T-cell immunity, and other immune functions, were analyzed in the liver and spleen tissues of recNP-immunized, and non-immunized adjuvant and PBS control mice at 72 hours post infection relative to an age related normal control group. The list of genes tested, fold change values for different groups and P-values are shown in Table S1.
Only five genes were significantly upregulated and one downregulated in the liver of recNP-immunized mice, compared to 34 upregulated and nine downregulated in non-immunized adjuvant control mice, and 37 upregulated and eight downregulated in non-immunized PBS control mice (Table S1). There was an almost 100% overlap between the up- or downregulated genes in liver of non-immunized adjuvant and PBS control mice, with only a few genes not consistent between these two groups, most likely as a result of the fold change in some of these genes being on the borderline of the cut-off fold-change value, indicating that mock immunization with the adjuvant alone likely had no effect on immune responses after RVFV challenge. The expression of all 84 genes remained unaltered in the spleen of recNP immunized mice compared to normal mice, whereas nine genes were significantly upregulated and 20 downregulated in adjuvant control mice spleens, compared to 11 upregulated and 20 downregulated in PBS control mice spleens. Comparing tissues, only 10 genes were similarly up- or downregulated in liver and spleen of adjuvant control mice, whereas 45 genes yielded contrasting results between tissues. Only 13 genes were similarly expressed in liver and spleen of PBS control mice, compared to 44 genes which yielded contrasting results between tissues (Table S1), indicating that there was a tissue specific modulation of host gene expression in response to RVFV infection. Selected genes that were significantly up- or downregulated in any of the experimental groups and indicating a clear difference or interesting similarity between immunized and control mice were grouped according to known effects on specific immune functions and shown in Figure 4 (a–b), Figure 5 (a–f) and Figure 6 (a–d).
There was a significant upregulation of several genes in the liver that have pro-apoptotic effects [34]–[42] in non-immunized adjuvant and PBS control mice, whereas these genes were normally expressed in recNP-immunized mice (Figure 4a, Figure 5a). One gene in particular, encoding the early growth response 1 protein (Egr-1) which is a transcription factor involved in proliferation, differentiation and activation of cell death pathways [43], that was upregulated in non-immunized mice was downregulated in recNP-immunized mice. Only one gene encoding the transcription factor RelB, part of the NF-KB family of proteins and responsible for counter-regulating the effects of NF-KB, was upregulated in liver of immunized and non-immunized mice (Figure 5a) [40]. Several genes with anti-apoptotic effects [44]–[49] were downregulated in the liver of non-immunized control mice but normal in recNP-immunized mice (Figure 5b). Most notable of these were the genes encoding the prolactin receptor (Prlr), an anti-inflammatory protein known to promote proliferation, protect against apoptosis and enhance cell survival, and the WW domain containing E3 ubiquitin protein ligase 1 (Wwp1), an anti-apoptotic protein playing a role in proliferation [49]. There was also evidence of severe liver inflammation [43], [50]–[58] in non-immunized adjuvant and PBS control mice, but not in recNP immunized mice (Figure 5c). Despite this the gene encoding the anti-inflammatory cytokine IL-10 was upregulated in all mice. The expression of osteopontin (gene Spp1), important for wound healing, was upregulated significantly in liver of non-immunized control mice, compared to normal expression in immunized mice (Table S1) [58], [59]. The gene expressing the Cyclin-dependent kinase inhibitor P21 (Cdkn1a), a protein with pro- or anti-apoptotic effects and normally upregulated in response to liver injury, was upregulated in liver of all mice but more pronounced in non-immunized mice (Table S1) [60]. The gene expressing the inducible nitric oxide synthase (Nos2), an effector of the innate immune system targeting viral proteases and inhibiting viral replication, was normal in liver of recNP-immunized mice but upregulated in non-immunized mice. Nitric oxide, a product of the Nos2 gene, is a radical molecule that can become toxic under oxidative stress conditions (Table S1) [61].
Both arms of the adaptive immune response, humoral (Th2) and cellular (Th1) [45], [50], [52], [62]–[74], were activated in liver of non-immunized control mice, but normal in immunized mice, at 72 hours. The gene encoding the Phosphatidylinositol 3-kinase catalytic delta polypeptide (Pik3cd), involved in the regulation of B-cells and antibody production, was also upregulated in liver of recNP-immunized mice indicating re-activation of humoral immunity in mice recognizing one of the viral proteins as one it has encountered before (Table S1) [75]. The genes encoding the Dedicator of cyto-kinesis 2 (Dock2) protein and interleukin-12b, which are involved in the development and induction of NKT cells, were upregulated in liver of non-immunized control mice. Some important genes were, however, downregulated in liver of non-immunized control mice (Figure 5 d and Table S1). The gene encoding the Cd1d1 antigen, which is important for the presentation of antigens to, and activation of NKT cells, was downregulated with statistical significance in non-immunized control mice (Figure 5 d) [65], [76], [77]. The expression of the gene encoding interleukin-7, necessary for B- and T-cell and NK cell survival, was downregulated in liver of non-immunized PBS control mice (Figure 5b) [78]. The expression of surfactant protein D (Sftpd), a member of the collectin family, important role player in innate immunity and inhibitor of T lymphocyte proliferation, was upregulated in liver of non-immunized control mice (Figure 5 d) [79]. The expression of the gene encoding the E3 Ubiquitin Ligase Cbl-b, capable of negatively regulating T-cell activation, was upregulated in liver of non-immunized control mice (Figure 5 d) [67], [68], [80]. The expression of the gene encoding interleukin-18, responsible for biasing immunity towards Th-1 cellular immunity and enhancing T-cell cytotoxicity, was downregulated in liver of non-immunized control mice (Figure 5 d) [81]. The expression of the suppressor of cytokine signaling 5 (Socs5), part of a family of proteins that negatively regulate cytokine signaling [82], was upregulated in liver of non-immunized control mice and the gene encoding the immunoglobulin binding protein 1 (Igbp1), a component of receptor cell signaling in B- and T-cells [45], was downregulated in liver of non-immunized control mice. Other genes (Cd81 and Pik3r1) involved in activation, signaling and differentiation of B- and T-cells were also downregulated in liver of non-immunized control mice (Table S1) [78], [83].
An important role player in innate immunity, NK cells, was also activated in liver of non-immunized control mice (Figure 5 f) [64], [84], [85]. The gene encoding the histocompatibility 60 A protein, a ligand for an activating receptor on NK cells [85], was upregulated in non-immunized control mice. However, expression of two important genes in NK cell activation and maturation, IL-18 and the prolactin receptor (Prlr), were downregulated in liver of non-immunized control mice [81], [84]. The expression of three genes encoding Toll-like receptors, a component of the innate immune system responsible for recognizing conserved structures of pathogens, were analyzed with only Tlr4 being upregulated in liver of non-immunized control mice (Table S1) [86].
In contrast to the liver, there was not such a clear bias towards apoptosis in the spleens of adjuvant and PBS control mice (Figure 4b, Figure 6a). Only two genes with pro-apoptotic effects were upregulated, and two genes with anti-apoptotic effects downregulated in spleen of control mice. Interestingly expression of Nos2 and Cd40, both with known pro-apoptotic effects and upregulated in liver of control mice, were downregulated in spleen of control mice. Similarly to liver, some genes with pro-inflammatory effects were upregulated in the spleens of adjuvant and PBS control mice (Figure 6b), except for the genes encoding Nos2, Cd40 and Cd40 ligand. The expression of various genes involved in the activation of B- and T-cell immunity were, however, downregulated in the spleens of adjuvant and PBS control mice (Figure 6c–d). The most notable of these were Cd40 and Cd40 ligand which are responsible for inducing effective CD8+ cytotoxic T-lymphocyte (CTL) responses and activation of B-cells for antibody production [51], and Cd8a and Cd8b1 which are responsible for CTL activation (Figure 6c) [87]. Expression of Complement receptor 2 (Cr2), which plays an important role in B-cell activation and maturation, was also downregulated in spleen of non-immunized control mice (Figure 6d).
Discussion
The immune evasion mechanisms known for RVFV are directed against the type I interferon response [24], [28], [88] and programmed cell death [29]. However, it was recently shown that mice displaying an earlier and stronger type I interferon response were less susceptible to RVFV infection than mice with a delayed and partial response which suggests some additional evasive or regulatory effects on innate or adaptive immune mechanisms enabling its replication [33].
Immunization of mice with recNP combined with Alhydrogel protected against disease and significantly reduced viral replication [17]. A study by Lorenzo et al (2008) implicated a cellular (Th-1) response to the RVFV NP as a protective mechanism [12], however, our present data shows that immunization with recNP/Alhydrogel induces Th-2 humoral immunity. The discrepant outcome of the two studies might be explained by the fact that Lorenzo et al (2008) used DNA vaccination [12], whereas in our study a subunit antigen combined with adjuvant known to favour Th-2 immunity, was used. Immunized mice launched an earlier and stronger type I interferon response compared to non-immunized mice which showed activation of several genes with pro-apoptotic and pro-inflammatory effects, and suppression of anti-apoptotic genes during acute phase of RVFV infection in the liver. This possibly contributed to hepatic damage, which is the main pathological feature of RVF [89]. The expression of several genes involved in the activation and function of NK cells and B- and T-lymphocytes were suppressed in infected mice, indicating additional immune evasion tactics of RVFV.
The induction of expression of IFNβ has been shown to occur in vitro at 3–6 hours p.i [33], while in the livers and spleens of immunized mice in this study it occurred at 3 hours p.i. Taking into account that after host infection, the virus is likely conveyed to the lymph nodes where it first replicates before it can spread to the liver and other organs [2], our results show the ability of RVFV to rapidly spread in the infected host. The expression of the same gene was, however, not upregulated in the tissues of adjuvant and PBS control mice early after infection. Type I interferon could not be upregulated as a direct result of recNP immunization since it is not memory dependent. The fact, however, that the protective anti-recNP responses shown here was largely humoral, but without neutralizing effects, suggests that some other form of antibody dependent mechanism, such as antibody-dependent cell-mediated cytotoxicity (ADCC) or complement-dependent cytotoxicity (CDC), might be responsible. It appears that the RVFV nucleocapsid protein might be released from infected cells independently from other viral proteins [13], and/or processed by the infected host cell proteasome into peptides that are displayed on their surface by MHC-1. Consequently these cells can be coated with anti-NP IgG antibodies complexed with presented NP or peptides, and become a target for ADCC or CDC. It has been shown for influenza virus, with highly variable envelope glycoprotein antigens but a conserved internal nucleoprotein, that previous infection causes heterosubtypic immunity and that this is due to antibodies against the NP involving CD8+ cells in an antibody dependent manner [90]. The resultant lysis of RVFV infected cells, that would otherwise have evaded the host innate immune response and produced progeny virus because of the inhibitory action of NSs on type I interferon might have resulted in the activation of the type I interferon response in neighbouring uninfected cells. The lysed cells would release dsRNA, a by-product of viral replication and activator of type I interferon, helping close-by uninfected cells to remain uninfected and thus decrease virus spread [91]. It has been shown that an early type I interferon response is protective against RVFV infection [18], [33] and it is thus highly likely that the early expression of IFNβ in immunized mice contributed to effective viral clearance and protection. The excessive expression of IFNβ, however, in control mice later after infection (72–120 h) was not able to curb the replication of the virus, as evidenced by high viral titers, and probably contributed to the pathology in the liver and spleen. It has been suggested that the role of IFNγ in RVFV pathogenesis is negligible [28] yet it has been shown in vivo that IFNγ does act as an antiviral against RVFV [27]. In our study expression of IFNγ was upregulated in all mice after infection, and there was only a decrease in viral replication in immunized mice indicating that IFNγ did not play a significant role in protection. Also, the massive expression of IFNγ in control mice late after infection did not contain viral replication in the liver and likely rather contributed to liver pathology.
The improper expression of IL-10 during a viral infection might contribute to immune escape events since IL-10 is an anti-inflammatory and immunosuppressive cytokine that inhibits the actions of Th-1 and NK cells, decreases antigen presentation and limits the production of various important cytokines (i.e. IL-12, IL-18 and TNF-α) [73]. It has been shown that IL-10 is upregulated after West Nile virus (WNV) infection, and that IL-10 deficient mice are less susceptible to WNV infection than mice expressing the gene normally [92]. Dengue virus has also been shown to replicate less efficiently when IL-10 expression is suppressed [93]. Some viruses even express IL-10 homologs to enable them to modulate the host immune system and escape viral clearance [94]–[96]. There was an early upregulation of IL-10 expression in liver of adjuvant control mice when an anti-inflammatory response would seem unnecessary. The early detection of replicating RVFV in liver of adjuvant control mice might be contributed to immune escape because of this early activation of IL-10. During the later stages of infection when high level virus replication was noted in non-immunized mice, the host upregulated expression of IL-10 to counteract severe inflammation of tissues. A consequence of this, however, is the suppression of various immune responses as described above which possibly contributed to inefficient clearance of virus in control mice or immune escape. The cytokines IL-10 and IFNγ are counter-regulatory of each other with IFNγ being responsible for pathogen clearance and IL-10 minimizing pathology [73], and therefore their relative expression levels can be an indication of host immune response bias towards virus clearance or minimizing immunopathology. At the acute phase of infection and height of viral replication in non-immunized mice the IL-10 to IFNγ ratio was massively favoured towards IL-10, indicating that these host responses were biased towards decreasing inflammation and pathology rather than clearing the virus, which most likely lead to ineffective viral clearance and high virus titers still being detectable at 120 hours p.i. It was interesting to note replication of virus to a much higher titer in spleen of recNP immunized mice compared to liver. This, however, did not result in any form of clinical disease in immunized mice which is further evidence that early disease progression is proportional to viral replication in the host liver and not necessarily other organs.
The activation of genes with pro-apoptotic and pro-inflammatory effects and the suppression of genes with anti-apoptotic effects in the liver of control mice as a result of uncontrolled viral replication, most probably contributed to severe hepatic disease. In the spleen activation of apoptosis and inflammation was not as pronounced as in the liver of non-immunized mice at 72 hours p.i. The liver is, however, the main target organ for viral replication, the primary site for lesions and rapid severe hepatic damage is probably responsible for the early clinical signs of RVF [89]. The overexpression of CD40, a member of the TNF receptor superfamily and potent activator of nuclear factor kappa beta, in the liver of non-immunized mice is of particular importance to apoptosis and inflammation. Mice deficient in the expression of CD40 have been shown to have improved survival during bacterial sepsis as a result of decreased induction of IL-6, IL-10, IL-12 and IFNγ expression [97]. Contrary to upregulation in liver the expression of CD40, as well as its ligand CD40L (CD154), was downregulated in spleen of non-immunized mice during acute infection. Apart from its role in apoptosis of hepatocytes, CD40 plays a very important role in mediating B- and T-cell responses by controlling cytokine secretion, proliferation and differentiation of B- and T-cells [51]. In addition to downregulation of CD40, various other genes involved in B- and T-cell immunity were also downregulated in the spleens of non-immunized mice. These include NOS2, CD3e, IL7, IL18, CD8a,CD1D1, CD74, CR2 and IL4. The spleen is a very important organ in the host immune system and these results indicate that infection with RVFV has a marked effect on the regulation of the host immune response on a molecular level. It is possible that this broad downregulation of humoral and cellular immunity could have resulted in uncontrolled replication of RVFV, since the virus was still detectable at high titers 2 days later in non-immunized mice. The expression of a TNF receptor superfamily ligand (Tnfsf14) was also upregulated in liver of control mice, but normal in their spleens. This protein is able to block TNFα-mediated apoptosis but not FAS-mediated apoptosis, and is a co-stimulatory factor that enhances T-cell-mediated immunity, leading to severe inflammation [41], [98]. The upregulation of the genes expressing the cell survival factor osteopontin (Spp1) and the Cyclin-dependent kinase inhibitor P21 (Cdkn1a), which is upregulated in response to tissue injury [99], [100], is evidence of the host's attempt to counteract the damaging effects of the infection. P21 interacts, amongst others, with the growth arrest and DNA damage-inducible gene 45 (Gadd45) [101], which was also upregulated in control mice. Gadd45 has been implicated in DNA repair, apoptosis, regulation of signal transduction and cell cycle control [102]. The NSs protein of RVFV has been shown to interact with some specific regions of host cell DNA, causing defects in host chromosome structure and segregation [103]. Therefore it might be that these DNA damage inducible proteins are upregulated in an attempt to arrest the cell cycle of affected cells and prevent apoptosis. The fact that P21 was upregulated in healthy recNP-immunized mice is probably as a result of the very low level of viral replication in their livers.
Although the expression of some genes were similarly regulated during acute infection in the livers and spleens of non-immunized mice, a number of genes were quite distinctly only up- or downregulated in either liver or spleen, with some even being upregulated in one tissue and downregulated in the other. This distinct expression pattern between tissues is very likely a result of the different cellular composition of the liver and spleen. The liver consists mostly of hepatocytes, whereas the spleen consists of a red pulp where red blood cells are filtered and monocytes are stored, and a white pulp which consists of B- and T-lymphocytes. It seems like the specific pattern of genes regulated during acute infection in the liver actually contributed to liver pathology by enhancing apoptosis and inflammation without being able to decrease viral replication to less virulent levels. On the other hand in the spleen the expression of genes involved in activation and modulation of B- and T-cell immunity were altered during acute infection, probably contributing to persistence of the virus in the host up to 120 hours. It was very interesting to note that, despite viral replication to a relatively high level in spleen of recNP immunized mice at 72 hours p.i., none of the 84 genes analyzed were up- or downregulated in their spleens. The mechanism by which recNP immunized mice can, 72 hours after infection, maintain expression levels of genes involved in immune activation similar to expression levels in spleens of uninfected mice, despite viral replication close to that in non-immunized mice where several genes were altered, needs to be further investigated. It is, however, fair to assume that this normal expression of genes involved in immune activation at 72 hours p.i. contributed to efficient viral clearance in immunized mice spleens, as is evidenced by the absence of replicating virus at the next sampling point (120 h). Further it is also fair to assume that the downregulation of B- and T-cell immunity in non-immunized mice at 72 hours p.i. contributed to the virus still replicating in their spleens at 120 hours p.i. Therefore, although not the main target organ of RVFV and not as important for disease progression as the liver, the spleen seems to be very important in regulating immune responses and decreasing the replication of the virus with dysregulation resulting in immune evasion. Further evidence of the dysregulation of host immune responses by RVFV infection is the fact that up- or downregulation of several genes (i.e. IL-18, IL-12b, CD40 and SOCS5) indicate bias towards both Th1 and Th2 immunity in the same host.
In conclusion, the expression of type I IFN was upregulated in the liver and spleen of immunized mice shortly after RVFV challenge, compared to a delayed upregulation of the same gene in non-immunized mice. In the acute phase of liver infection, however, there was a massive upregulation of type I and II interferon in the presence of high viral titers in non-immunized mice associated with downregulation of several genes involved in the activation of B- and T-cells in the spleen, compared to normal expression in immunized mice. Furthermore various genes with pro-apoptotic and pro-inflammatory effects were strongly upregulated, and anti-apoptotic genes downregulated in liver of non-immunized mice.
Host gene responses identified in this study may be useful targets for the development of therapeutic interventions, e.g. suppressing inflammatory and apoptotic effects of RVFV infection in the liver, or limiting the suppression of B- and T-cell activation in the spleen, and further aid the evaluation of subunit candidate vaccines.
Materials and Methods
Ethics statement
This study was carried out in strict accordance with the recommendations of the South African National Standards for the Care and Use of Animals for Scientific Purposes (SANS 10386:2008) and the Guidelines for the Use and Care of Animals in Experimental Education and other Scientific Purposes of the University of the Witwatersrand, South Africa. The protocol was approved by the University of the Witwatersrand Animal Ethics Screening Committee (clearance certificate number AESC 2008/16/4). Blood collection after immunization was done under Ketamine/Xylazine anaesthesia, organ tissue collection after viral challenge was done post-mortem after euthanasia with carbon dioxide (CO2) asphyxiation, and all efforts were made to minimize suffering.
Bacterial expression of recombinant RVFV N protein
Bacterial expression and purification of the recombinant N protein was carried out as described previously [10].
Mouse immunization
Four-week old female BALB/cOlaHsd (Harlan Laboratories, U.K LTD) mice were housed in groups of six in standard plastic mouse cages with wood shaving bedding in a specific pathogen free (SPF) facility during the immunization part of the experiment. Group sizes were calculated so as to have three mice per group per time point for each collection to enable statistical relevance. The immunized group consisted of 60 mice each immunized with a 200 µl inoculum containing 70 µg RVFV recNP in combination with Alhydrogel (Sigma, U.S.A). The adjuvant control group consisted of 18 mice inoculated with Alhydrogel in PBS. The placebo control group consisted of 18 mice which were inoculated with PBS buffer. The normal control group consisted of 18 mice that did not receive any inoculation during the immunization experiment, but were included as an age related control group for the gene expression experiment. All mice, except the age-related normal control group, were inoculated subcutaneously (s.c.) and received identical booster inoculums on day 14 after the initial inoculation. Three mice from the recNP-immunized group were anaesthetized by intramuscular inoculation with a combination of Ketamine (35 mg/kg body mass) and Xylazine (5 mg/kg body mass) and bled by cardiac puncture on each of the following days post-immunization to monitor development of immune responses: day 0, 3, 5, 7, 10 and 12 after the first immunization, and day 0, 3, 5, 7, 12, 18, 21 and 27 after the booster immunization.
Monitoring of immune response
Anti-recNP humoral responses were monitored by the indirect ELISA which was done as described previously [17]. A mouse serum with high levels of both IgG1 and IgG2A subclass antibodies, generated by immunization with RVFV recNP combined with SaponinQ adjuvant (Sigma, U.S.A) in a previous study [17], was used as a positive control. The positive control serum yielded similar optical density values at 405 nm for IgG (1.094), IgG1 (1.01) and IgG2A (0.94) subclass antibodies at the same dilution used for experimental sera (1∶400). Optical density (OD) was determined at 405 nm for each IgG subclass and means calculated for duplicate measurements of each sample or control. The mean OD values of samples for different IgG subclass antibodies were converted to percentage positivity (PP) values by the following calculation: PP = Mean OD sample/Mean OD positive control ×100, using the OD values described above for IgG, IgG1 and IgG2A to calculate PP values for those specific subclasses. The PP values determined for each of the three biological replicates at each time point (three mice sampled per time point) were then used to calculate the biological mean PP values and standard deviations (S.D.) at each sampling point for the different IgG subclasses.
RVFV challenge
During the RVFV challenge phase of the experiment the mice were housed as during the immunization part except for being moved to a Biosafety level 3 animal facility.
Vero cells were cultivated in Eagles Minimal Essential Medium (EMEM) (BioWhitaker, MD, U.S.A) containing L-Glutamine, non-essential amino acids, antibiotics (100 IU penicillin, 100 µg streptomycin and 0.25 µg amphotericin B) and 10% foetal bovine serum (Gibco) and maintained at 37°C in 5% CO2 incubator. The SPU22/118 KEN 07 strain of RVFV was isolated from a RVF human case during the 2007 Kenyan epidemic [104].
Second passage of the virus, propagated in Vero cells, was used for the challenge of mice on day 28 after the booster immunization. The recNP immunized, adjuvant control and PBS control mice were inoculated s.c. with 100 µl of 107.0 TCID50/ml RVFV, whereas the age related control group of mice were “mock” challenged with 100 µl uninfected Vero cell culture supernatant. Mice were monitored twice daily for clinical signs.
Three mice were randomly collected from each group, euthanized by CO2 asphyxiation and liver and spleen tissues collected at the following time points after RVFV challenge: 3, 6, 12, 24, 72 and 120 hours. A piece of approximately 50 mg of each tissue was collected into an RNA stabilization reagent (RNAlater, Qiagen, Germany) according to the instructions of the manufacturer, and stored at −70°C until further processing. The remaining tissue was stored in cryotubes at −70°C for viral load determination.
Virus titrations
Liver and spleen tissues were homogenized as 10% (w/v) suspensions in EMEM containing L-glutamine, non-essential amino acids and antibiotics (100 IU penicillin, 100 µg streptomycin and 0.25 µg amphotericin B) using a Tissuelyser II and 5 mm stainless steel beads (Qiagen, Germany) according to the manufacturer's instructions (4 min, 25 Hz). After centrifugation at 10,000× g for 3 minutes the supernatants were collected and stored at −70°C until tested. Titrations were performed as described previously [17]. Virus titers, calculated by the Kärber method [105], were expressed as median tissue culture infectious dose (TCID50) per gram of tissue. Means and standard deviations from the means were determined based on three animals per group per each time point tested.
RNA extraction
The tissues were moved from RNAlater into lysis buffer (Buffer RLT, Qiagen, Germany) and lysis-homogenization performed by using a Tissuelyser II as described above. Lysates were centrifuged for 3 minutes at 13,200 rpm at room temperature and supernatants collected. Extraction of RNA from the supernatants was performed by using the RNeasy Mini Kit (Qiagen, Germany). A 50% ethanol was used to increase RNA yield from livers and 70% ethanol for spleens as suggested by the manufacturer, followed by on-column Dnase digestion using the Rnase-free Dnase set (Qiagen, Germany), to remove genomic DNA. The RNA was eluted in Rnase-free water, the concentration determined using a NanoDrop ND-1000 spectrophotometer (Thermo Scientific, U.S.A) and stored at −70°C until further testing.
For testing with the SABiosciences quantitative PCR array (as described below), further RNA cleanup was performed on RNA already extracted from livers and spleens collected at 72 hours post infection, as per the manufacturer's instructions. This cleanup, which introduces an additional Dnase digestion, was performed using the RT2 qPCR-Grade RNA Isolation Kit (SABiosciences, Qiagen, U.S.A) as per the manufacturer's instructions. The RNA was eluted in Rnase-free water, the concentration determined using a NanoDrop ND-1000 spectrophotometer (Thermo Scientific, U.S.A) and stored at −70°C until further testing.
Quantitect qRT-PCR
The RNA extracted from all experimental mice at all time points after RVFV challenge were diluted to 10 ng/µl and used in the qRT-PCR reactions. The Quantitect qRT-PCR reactions were performed as described by the manufacturer (Quantifast SYBR Green RT-PCR kit, Qiagen, Germany) using a Lightcycler 1.5 (Roche, Germany). Briefly, a reaction mix was prepared by mixing 2× Quantifast SYBR Green RT-PCR Master Mix (HotStarTaq Plus DNA Polymerase, Quantifast SYBR Green RT-PCR buffer, dNTP mix and ROX passive reference dye), 10× Quantitect Primer set (for detection of the genes for Gapdh, Il10, Ifng and Ifnb1), Quantifast RT-Mix (Omniscript RT and Sensiscript RT), template RNA (10 ng) and RNase-free water to a final volume of 20 µl per reaction. This mix was transferred to 20 µl Lightcycler Capillaries (Roche, Germany) and run on the Lightcycler 1.5 using the following cycles: 1× reverse transcription (10 min, 50°C), 1× hotstart PCR activation (5 min, 95°C) and 40× cycles of denaturation (10 sec, 95°C) and annealing/extension (30 sec, 60°C), with fluorescence data collection just after the annealing/extension step. The threshold cycle (CT) values were determined using the second derivative maximum method (Lightcycler Data Analysis Software version 3.5.28, Roche). The CT values were then used for relative quantification (as described below).
RNA was extracted from the liver and spleen of a normal BALB/cOlaHsd mouse to generate standard curves in order to determine PCR reaction efficiencies (necessary for the relative quantification calculations) with primer sets for different genes (GAPDH, IL-10, IFNã and IFNâ1). Dilution series were prepared and the following amounts of RNA tested in duplicate using all primer sets: 30 ng; 15 ng, 7.5 ng, 3.75 ng and 1.875 ng. The CT values and their corresponding template amount values were then used to determine the PCR reaction efficiencies using the Relative Expression Software Tool (REST, Qiagen, Germany) [106] as described by the manufacturer (results not shown).
Relative quantification data analysis (Quantitect qRT-PCR)
Threshold values (CT) from biological triplicates for the different genes analyzed as determined for the immunized mice, adjuvant control and PBS control mice were first normalized to the CT values of the housekeeping gene (Gapdh) analyzed in the same samples, and further normalized to the CT values from the non-infected control mice to determine the relative changes in gene expression compared to age related normal mice. This is the so-called 2−ΔΔCt and the result is a fold change value that is an indication of the expression level of a gene in the experimental group being higher or lower than the expression level in the normal age-related control group [107]. These calculations were done using the REST software (Qiagen, Germany) which uses the PCR efficiencies for different primer sets (as determined above, results not shown) and the CT values of the biological triplicates. The negative inverted values were determined (i.e. 0.5 = 1/−0.5 = −2.0) for fold change values smaller than one (<1). Genes were only regarded as upregulated with fold changes ≥2.0, and downregulated with fold changes ≤−2.0, based on the same cut-off values used in a recent study [33].
SABioscienes quantitative PCR array
The RNA extracted with the RT2 qPCR-Grade RNA Isolation Kit from liver and spleen collections of all mice at 72 hours post infection were diluted to 150 ng/µl in nuclease free water. Complementary DNA (cDNA) was prepared from the RNA using the RT2 First Strand kit (SABiosciences, Qiagen, U.S.A) as described by the manufacturer. A total of 1.2 µg of each RNA preparation was mixed with 5× genomic DNA Elimination buffer and the reaction incubated at 42°C for 5 minutes (total volume 10 µl). After the incubation, the reactions were immediately moved to ice and, subsequently, an equal volume of RT-coctail mix added (5× RT buffer, primers and external control mix, RT-enzyme mix and RNase-free water). These reactions were then incubated at 42°C for 15 minutes and 95°C for 5 minutes. The resultant cDNA of each preparation was then diluted 1∶10 with nuclease-free water and stored at −20°C until tested.
The 1∶10 diluted cDNA was mixed with the master mix (2× SABiosciences RT2 qPCR Master Mix) and nuclease-free water, and aliquoted onto the PCR array plates containing primer sets (listed in Table S1)(25 µl of reaction mix per well)(PAMM-053, SABiosciences, Qiagen, Germany). Plates were run on an ABI 7500 cycler (Applied Biosystems, U.S.A). The following cycling program was used: 1×95°C for 10 minutes, 40×95°C for 15 seconds and 60°C for 1 minute, followed by the default melting curve program. Fluorescence was measured just after the 1 minute/60°C step. The cycle threshold (CT) values were determined using the cycler software and an automatic baseline adjustment (ABI 7500 Software Version 2.0.1, Applied Biosystems, U.S.A). Three mice per group were analyzed and average values calculated.
Relative quantification data analysis (SABioscienes quantitative PCR array)
Calculation of fold change values from the results of the SABiosciences quantitative PCR array relies essentially on the same principles as for the Quantitect qRT-PCR, making use of the 2−ΔΔCt method, except for the use of up to 5 housekeeping genes (Gusb, Hprt1, Hsp90ab1, Gapdh and Actb) for normalization of data. These calculations were done using the SABiosciences PCR Array Data Analysis Template Excel Utility (http://sabiosciences.com/pcrarraydataanalysis.php)(Qiagen, Germany). The negative inverted values were determined (i.e. 0.5 = 1/−0.5 = −2.0) for fold change values smaller than one (<1). Genes were only regarded as upregulated with fold changes ≥2.0, and downregulated with fold changes ≤−2.0.
Statistical analysis
The REST software uses a Pair-Wise Fixed Reallocation Randomization Test© [106] with 2000 randomizations to determine a P-value which gives an indication of the statistical significance of fold changes. The SABiosciences PCR Array Data Analysis Template Excel Utility incorporates the calculation of a P-value using a T-test. Fold changes with P-values smaller or equal to 0.05 (≤0.05) were taken as statistically significant. Three biological replicates were used at all experimental time points in all groups to enable statistical reliability of results.
Supporting Information
Acknowledgments
We would like to thank Mrs. B. Mogodi, animal technologist, for assistance with husbandry and procedures involving animals, and Mr. Alan Kemp for proofreading the manuscript.
Footnotes
Competing Interests: The authors have declared that no competing interests exist.
Funding: This work was supported by the Poliomyelitis Research Foundation (PRF Grant number 08/14) (www.prf.ac.za). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
References
- 1.Woods CW, Karpati AM, Grein T, McCarthy N, Gaturuku P, et al. An outbreak of Rift Valley fever in Northeastern Kenya, 1997–98. Emerg Infect Dis. 2002;8:138–144. doi: 10.3201/eid0802.010023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Swanepoel R, Coetzer JAW. Rift Valley fever. In: Coetzer JAW, Tustin RC, editors. Infectious Diseases of Livestock. Cape Town: Oxford University Press; 2004. pp. 1037–1070. [Google Scholar]
- 3.Rich KM, Wanyoike F. An assessment of the regional and national socio-economic impacts of the 2007 Rift Valley fever outbreak in Kenya. Am J Trop Med Hyg. 2010;83:52–57. doi: 10.4269/ajtmh.2010.09-0291. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Giorgi C, Accardi L, Nicoletti L, Gro MC, Takehara K, et al. Sequences and coding strategies of the S RNAs of Toscana and Rift Valley fever viruses compared to those of Punta Toro, Sicilian Sandfly fever, and Uukuniemi viruses. Virology. 1991;180:738–753. doi: 10.1016/0042-6822(91)90087-r. [DOI] [PubMed] [Google Scholar]
- 5.Ihara T, Smith J, Dalrymple JM, Bishop DH. Complete sequences of the glycoproteins and M RNA of Punta Toro phlebovirus compared to those of Rift Valley fever virus. Virology. 1985;144:246–259. doi: 10.1016/0042-6822(85)90321-6. [DOI] [PubMed] [Google Scholar]
- 6.Magurano F, Nicoletti L. Humoral response in Toscana virus acute neurologic disease investigated by viral-protein-specific immunoassays. Clin Diagn Lab Immunol. 1999;6:55–60. doi: 10.1128/cdli.6.1.55-60.1999. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Swanepoel R, Struthers JK, Erasmus MJ, Shepherd SP, McGillivray GM, et al. Comparative pathogenicity and antigenic cross-reactivity of Rift Valley fever and other African phleboviruses in sheep. J Hyg (Lond) 1986;97:331–346. doi: 10.1017/s0022172400065426. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Vapalahti O, Kallio-Kokko H, Narvanen A, Julkunen I, Lundkvist A, et al. Human B-cell epitopes of Puumala virus nucleocapsid protein, the major antigen in early serological response. Journal of Medical Virology. 1995;46:293–303. doi: 10.1002/jmv.1890460402. [DOI] [PubMed] [Google Scholar]
- 9.Fafetine JM, Tijhaar E, Paweska JT, Neves LC, Hendriks J, et al. Cloning and expression of Rift Valley fever virus nucleocapsid (N) protein and evaluation of a N-protein based indirect ELISA for the detection of specific IgG and IgM antibodies in domestic ruminants. Vet Microbiol. 2007;121:29–38. doi: 10.1016/j.vetmic.2006.11.008. [DOI] [PubMed] [Google Scholar]
- 10.Jansen van Vuren P, Potgieter AC, Paweska JT, van Dijk AA. Preparation and evaluation of a recombinant Rift Valley fever virus N protein for the detection of IgG and IgM antibodies in humans and animals by indirect ELISA. J Virol Methods. 2007;140:106–114. doi: 10.1016/j.jviromet.2006.11.005. [DOI] [PubMed] [Google Scholar]
- 11.Gauliard N, Billecocq A, Flick R, Bouloy M. Rift Valley fever virus noncoding regions of L, M and S segments regulate RNA synthesis. Virology. 2006;351:170–179. doi: 10.1016/j.virol.2006.03.018. [DOI] [PubMed] [Google Scholar]
- 12.Lorenzo G, Martin-Folgar R, Rodriguez F, Brun A. Priming with DNA plasmids encoding the nucleocapsid protein and glycoprotein precursors from Rift Valley fever virus accelerates the immune responses induced by an attenuated vaccine in sheep. Vaccine. 2008;26:5255–5262. doi: 10.1016/j.vaccine.2008.07.042. [DOI] [PubMed] [Google Scholar]
- 13.Liu L, Celma CC, Roy P. Rift Valley fever virus structural proteins: expression, characterization and assembly of recombinant proteins. Virol J. 2008;5:82. doi: 10.1186/1743-422X-5-82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Lorenzo G, Martin-Folgar R, Hevia E, Boshra H, Brun A. Protection against lethal Rift Valley fever virus (RVFV) infection in transgenic IFNAR(−/−) mice induced by different DNA vaccination regimens. Vaccine. 2010;28:2937–2944. doi: 10.1016/j.vaccine.2010.02.018. [DOI] [PubMed] [Google Scholar]
- 15.Lagerqvist N, Naslund J, Lundkvist A, Bouloy M, Ahlm C, et al. Characterisation of immune responses and protective efficacy in mice after immunisation with Rift Valley Fever virus cDNA constructs. Virol J. 2009;6:6. doi: 10.1186/1743-422X-6-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Wallace DB, Ellis CE, Espach A, Smith SJ, Greyling RR, et al. Protective immune responses induced by different recombinant vaccine regimes to Rift Valley fever. Vaccine. 2006;24:7181–7189. doi: 10.1016/j.vaccine.2006.06.041. [DOI] [PubMed] [Google Scholar]
- 17.Jansen van Vuren P, Tiemessen CT, Paweska JT. Evaluation of a recombinant Rift Valley fever virus subunit nucleocapsid protein as an immunogen in mice and sheep. The Open Vaccine Journal. 2010;3:114–126. [Google Scholar]
- 18.Heise MT, Whitmore A, Thompson J, Parsons M, Grobbelaar AA, et al. An alphavirus replicon-derived candidate vaccine against Rift Valley fever virus. Epidemiol Infect. 2009;137:1309–1318. doi: 10.1017/S0950268808001696. [DOI] [PubMed] [Google Scholar]
- 19.Kortekaas J, de Boer SM, Kant J, Vloet RP, Antonis AF, et al. Rift Valley fever virus immunity provided by a paramyxovirus vaccine vector. Vaccine. 2010;28:4394–4401. doi: 10.1016/j.vaccine.2010.04.048. [DOI] [PubMed] [Google Scholar]
- 20.Mandell RB, Koukuntla R, Mogler LJ, Carzoli AK, Freiberg AN, et al. A replication-incompetent Rift Valley fever vaccine: chimeric virus-like particles protect mice and rats against lethal challenge. Virology. 2010;397:187–198. doi: 10.1016/j.virol.2009.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Morrill JC, Jennings GB, Johnson AJ, Cosgriff TM, Gibbs PH, et al. Pathogenesis of Rift Valley fever in rhesus monkeys: role of interferon response. Arch Virol. 1990;110:195–212. doi: 10.1007/BF01311288. [DOI] [PubMed] [Google Scholar]
- 22.Sandrock M, Frese M, Haller O, Kochs G. Interferon-induced rat Mx proteins confer resistance to Rift Valley fever virus and other arthropod-borne viruses. J Interferon Cytokine Res. 2001;21:663–668. doi: 10.1089/107999001753124390. [DOI] [PubMed] [Google Scholar]
- 23.Anderson GW, Jr, Peters CJ. Viral determinants of virulence for Rift Valley fever (RVF) in rats. Microb Pathog. 1988;5:241–250. doi: 10.1016/0882-4010(88)90096-4. [DOI] [PubMed] [Google Scholar]
- 24.Peters CJ, Jones D, Trotter R, Donaldson J, White J, et al. Experimental Rift Valley fever in rhesus macaques. Arch Virol. 1988;99:31–44. doi: 10.1007/BF01311021. [DOI] [PubMed] [Google Scholar]
- 25.Le May N, Mansuroglu Z, Leger P, Josse T, Blot G, et al. A SAP30 complex inhibits IFN-beta expression in Rift Valley fever virus infected cells. PLoS Pathog. 2008;4:e13. doi: 10.1371/journal.ppat.0040013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Bouloy M, Weber F. Molecular biology of rift valley Fever virus. Open Virol J. 2010;4:8–14. doi: 10.2174/1874357901004010008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Le May N, Dubaele S, Proietti De Santis L, Billecocq A, Bouloy M, et al. TFIIH transcription factor, a target for the Rift Valley hemorrhagic fever virus. Cell. 2004;116:541–550. doi: 10.1016/s0092-8674(04)00132-1. [DOI] [PubMed] [Google Scholar]
- 28.Habjan M, Pichlmair A, Elliott RM, Overby AK, Glatter T, et al. NSs protein of rift valley fever virus induces the specific degradation of the double-stranded RNA-dependent protein kinase. J Virol. 2009;83:4365–4375. doi: 10.1128/JVI.02148-08. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Strauss JH, Strauss EG. Viruses and Human Disease, 2nd Edition. Oxford: Elsevier; 2008. 468 [Google Scholar]
- 30.Morrill JC, Czarniecki CW, Peters CJ. Recombinant human interferon-gamma modulates Rift Valley fever virus infection in the rhesus monkey. J Interferon Res. 1991;11:297–304. doi: 10.1089/jir.1991.11.297. [DOI] [PubMed] [Google Scholar]
- 31.Bouloy M, Janzen C, Vialat P, Khun H, Pavlovic J, et al. Genetic evidence for an interferon-antagonistic function of rift valley fever virus nonstructural protein NSs. J Virol. 2001;75:1371–1377. doi: 10.1128/JVI.75.3.1371-1377.2001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Won S, Ikegami T, Peters CJ, Makino S. NSm protein of Rift Valley fever virus suppresses virus-induced apoptosis. J Virol. 2007;81:13335–13345. doi: 10.1128/JVI.01238-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Do Valle TZ, Billecocq A, Guillemot L, Alberts R, Gommet C, et al. A new mouse model reveals a critical role for host innate immunity in resistance to Rift Valley fever. J Immunol. 2010;185:6146–6156. doi: 10.4049/jimmunol.1000949. [DOI] [PubMed] [Google Scholar]
- 34.Mollereau B, Deckert M, Deas O, Rieux-Laucat F, Hirsch F, et al. CD2-induced apoptosis in activated human peripheral T cells: a Fas-independent pathway that requires early protein tyrosine phosphorylation. J Immunol. 1996;156:3184–3190. [PubMed] [Google Scholar]
- 35.Afford SC, Ahmed-Choudhury J, Randhawa S, Russell C, Youster J, et al. CD40 activation-induced, Fas-dependent apoptosis and NF-kappaB/AP-1 signaling in human intrahepatic biliary epithelial cells. Faseb J. 2001;15:2345–2354. doi: 10.1096/fj.01-0088com. [DOI] [PubMed] [Google Scholar]
- 36.Wu MY, Liang YR, Wu XY, Zhuang CX. Relationship between Egr-1 gene expression and apoptosis in esophageal carcinoma and precancerous lesions. World J Gastroenterol. 2002;8:971–975. doi: 10.3748/wjg.v8.i6.971. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Li J, Billiar TR. Nitric Oxide. IV. Determinants of nitric oxide protection and toxicity in liver. Am J Physiol. 1999;276:G1069–1073. doi: 10.1152/ajpgi.1999.276.5.G1069. [DOI] [PubMed] [Google Scholar]
- 38.Zhao Y, Rangnekar VM. Apoptosis and tumor resistance conferred by Par-4. Cancer Biol Ther. 2008;7:1867–1874. doi: 10.4161/cbt.7.12.6945. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Hung JH, Lu YS, Wang YC, Ma YH, Wang DS, et al. FTY720 induces apoptosis in hepatocellular carcinoma cells through activation of protein kinase C delta signaling. Cancer Res. 2008;68:1204–1212. doi: 10.1158/0008-5472.CAN-07-2621. [DOI] [PubMed] [Google Scholar]
- 40.Kiebala M, Polesskaya O, Yao Z, Perry SW, Maggirwar SB. Nuclear factor-kappa B family member RelB inhibits human immunodeficiency virus-1 Tat-induced tumor necrosis factor-alpha production. PLoS One. 2010;5:e11875. doi: 10.1371/journal.pone.0011875. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Matsui H, Hikichi Y, Tsuji I, Yamada T, Shintani Y. LIGHT, a member of the tumor necrosis factor ligand superfamily, prevents tumor necrosis factor-alpha-mediated human primary hepatocyte apoptosis, but not Fas-mediated apoptosis. J Biol Chem. 2002;277:50054–50061. doi: 10.1074/jbc.M206562200. [DOI] [PubMed] [Google Scholar]
- 42.Bustelo XR. Vav proteins, adaptors and cell signaling. Oncogene. 2001;20:6372–6381. doi: 10.1038/sj.onc.1204780. [DOI] [PubMed] [Google Scholar]
- 43.Cho SJ, Kang MJ, Homer RJ, Kang HR, Zhang X, et al. Role of early growth response-1 (Egr-1) in interleukin-13-induced inflammation and remodeling. J Biol Chem. 2006;281:8161–8168. doi: 10.1074/jbc.M506770200. [DOI] [PubMed] [Google Scholar]
- 44.Lomonosova E, Chinnadurai G. BH3-only proteins in apoptosis and beyond: an overview. Oncogene. 2008;27(Suppl 1):S2–19. doi: 10.1038/onc.2009.39. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Kong M, Fox CJ, Mu J, Solt L, Xu A, et al. The PP2A-associated protein alpha4 is an essential inhibitor of apoptosis. Science. 2004;306:695–698. doi: 10.1126/science.1100537. [DOI] [PubMed] [Google Scholar]
- 46.Kittipatarin C, Khaled AR. Interlinking interleukin-7. Cytokine. 2007;39:75–83. doi: 10.1016/j.cyto.2007.07.183. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Jackson LN, Larson SD, Silva SR, Rychahou PG, Chen LA, et al. PI3K/Akt activation is critical for early hepatic regeneration after partial hepatectomy. Am J Physiol Gastrointest Liver Physiol. 2008;294:G1401–1410. doi: 10.1152/ajpgi.00062.2008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Yu-Lee LY. Prolactin modulation of immune and inflammatory responses. Recent Prog Horm Res. 2002;57:435–455. doi: 10.1210/rp.57.1.435. [DOI] [PubMed] [Google Scholar]
- 49.Li Y, Zhou Z, Chen C. WW domain-containing E3 ubiquitin protein ligase 1 targets p63 transcription factor for ubiquitin-mediated proteasomal degradation and regulates apoptosis. Cell Death Differ. 2008;15:1941–1951. doi: 10.1038/cdd.2008.134. [DOI] [PubMed] [Google Scholar]
- 50.Coleman JW. Nitric oxide: a regulator of mast cell activation and mast cell-mediated inflammation. Clin Exp Immunol. 2002;129:4–10. doi: 10.1046/j.1365-2249.2002.01918.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Peters AL, Stunz LL, Bishop GA. CD40 and autoimmunity: the dark side of a great activator. Semin Immunol. 2009;21:293–300. doi: 10.1016/j.smim.2009.05.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 52.Senaldi G, Varnum BC, Sarmiento U, Starnes C, Lile J, et al. Novel neurotrophin-1/B cell-stimulating factor-3: a cytokine of the IL-6 family. Proc Natl Acad Sci U S A. 1999;96:11458–11463. doi: 10.1073/pnas.96.20.11458. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Dalakas E, Newsome PN, Harrison DJ, Plevris JN. Hematopoietic stem cell trafficking in liver injury. Faseb J. 2005;19:1225–1231. doi: 10.1096/fj.04-2604rev. [DOI] [PubMed] [Google Scholar]
- 54.Curnow SJ, Wloka K, Faint JM, Amft N, Cheung CM, et al. Topical glucocorticoid therapy directly induces up-regulation of functional CXCR4 on primed T lymphocytes in the aqueous humor of patients with uveitis. J Immunol. 2004;172:7154–7161. doi: 10.4049/jimmunol.172.11.7154. [DOI] [PubMed] [Google Scholar]
- 55.Lee CG, Hartl D, Matsuura H, Dunlop FM, Scotney PD, et al. Endogenous IL-11 signaling is essential in Th2- and IL-13-induced inflammation and mucus production. Am J Respir Cell Mol Biol. 2008;39:739–746. doi: 10.1165/rcmb.2008-0053OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Zhou L, Nazarian AA, Smale ST. Interleukin-10 inhibits interleukin-12 p40 gene transcription by targeting a late event in the activation pathway. Mol Cell Biol. 2004;24:2385–2396. doi: 10.1128/MCB.24.6.2385-2396.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Guo CJ, Atochina-Vasserman EN, Abramova E, Foley JP, Zaman A, et al. S-nitrosylation of surfactant protein-D controls inflammatory function. PLoS Biol. 2008;6:e266. doi: 10.1371/journal.pbio.0060266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Mazzali M, Kipari T, Ophascharoensuk V, Wesson JA, Johnson R, et al. Osteopontin–a molecule for all seasons. Qjm. 2002;95:3–13. doi: 10.1093/qjmed/95.1.3. [DOI] [PubMed] [Google Scholar]
- 59.Denhardt DT, Noda M, O'Regan AW, Pavlin D, Berman JS. Osteopontin as a means to cope with environmental insults: regulation of inflammation, tissue remodeling, and cell survival. J Clin Invest. 2001;107:1055–1061. doi: 10.1172/JCI12980. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Gartel AL, Radhakrishnan SK. Lost in transcription: p21 repression, mechanisms, and consequences. Cancer Res. 2005;65:3980–3985. doi: 10.1158/0008-5472.CAN-04-3995. [DOI] [PubMed] [Google Scholar]
- 61.Lowenstein CJ, Padalko E. iNOS (NOS2) at a glance. J Cell Sci. 2004;117:2865–2867. doi: 10.1242/jcs.01166. [DOI] [PubMed] [Google Scholar]
- 62.Norsworthy PJ, Fossati-Jimack L, Cortes-Hernandez J, Taylor PR, Bygrave AE, et al. Murine CD93 (C1qRp) contributes to the removal of apoptotic cells in vivo but is not required for C1q-mediated enhancement of phagocytosis. J Immunol. 2004;172:3406–3414. doi: 10.4049/jimmunol.172.6.3406. [DOI] [PubMed] [Google Scholar]
- 63.Miletic AV, Graham DB, Sakata-Sogawa K, Hiroshima M, Hamann MJ, et al. Vav links the T cell antigen receptor to the actin cytoskeleton and T cell activation independently of intrinsic Guanine nucleotide exchange activity. PLoS One. 2009;4:e6599. doi: 10.1371/journal.pone.0006599. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Li J, Nishizawa K, An W, Hussey RE, Lialios FE, et al. A cdc15-like adaptor protein (CD2BP1) interacts with the CD2 cytoplasmic domain and regulates CD2-triggered adhesion. Embo J. 1998;17:7320–7336. doi: 10.1093/emboj/17.24.7320. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kunisaki Y, Tanaka Y, Sanui T, Inayoshi A, Noda M, et al. DOCK2 is required in T cell precursors for development of Valpha14 NK T cells. J Immunol. 2006;176:4640–4645. doi: 10.4049/jimmunol.176.8.4640. [DOI] [PubMed] [Google Scholar]
- 66.Zhu R, Diem S, Araujo LM, Aumeunier A, Denizeau J, et al. The Pro-Th1 cytokine IL-12 enhances IL-4 production by invariant NKT cells: relevance for T cell-mediated hepatitis. J Immunol. 2007;178:5435–5442. doi: 10.4049/jimmunol.178.9.5435. [DOI] [PubMed] [Google Scholar]
- 67.Qiao G, Lei M, Li Z, Sun Y, Minto A, et al. Negative regulation of CD40-mediated B cell responses by E3 ubiquitin ligase Casitas-B-lineage lymphoma protein-B. J Immunol. 2007;179:4473–4479. doi: 10.4049/jimmunol.179.7.4473. [DOI] [PubMed] [Google Scholar]
- 68.Qiao G, Li Z, Molinero L, Alegre ML, Ying H, et al. T-cell receptor-induced NF-kappaB activation is negatively regulated by E3 ubiquitin ligase Cbl-b. Mol Cell Biol. 2008;28:2470–2480. doi: 10.1128/MCB.01505-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Duttagupta PA, Boesteanu AC, Katsikis PD. Costimulation signals for memory CD8+ T cells during viral infections. Crit Rev Immunol. 2009;29:469–486. doi: 10.1615/critrevimmunol.v29.i6.20. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Boesteanu AC, Katsikis PD. Memory T cells need CD28 costimulation to remember. Semin Immunol. 2009;21:69–77. doi: 10.1016/j.smim.2009.02.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 71.Ceredig R, Rauch M, Balciunaite G, Rolink AG. Increasing Flt3L availability alters composition of a novel bone marrow lymphoid progenitor compartment. Blood. 2006;108:1216–1222. doi: 10.1182/blood-2005-10-006643. [DOI] [PubMed] [Google Scholar]
- 72.Kasler HG, Verdin E. Histone deacetylase 7 functions as a key regulator of genes involved in both positive and negative selection of thymocytes. Mol Cell Biol. 2007;27:5184–5200. doi: 10.1128/MCB.02091-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 73.Couper KN, Blount DG, Riley EM. IL-10: the master regulator of immunity to infection. J Immunol. 2008;180:5771–5777. doi: 10.4049/jimmunol.180.9.5771. [DOI] [PubMed] [Google Scholar]
- 74.Khan WN. B cell receptor and BAFF receptor signaling regulation of B cell homeostasis. J Immunol. 2009;183:3561–3567. doi: 10.4049/jimmunol.0800933. [DOI] [PubMed] [Google Scholar]
- 75.Durand CA, Hartvigsen K, Fogelstrand L, Kim S, Iritani S, et al. Phosphoinositide 3-kinase p110 delta regulates natural antibody production, marginal zone and B-1 B cell function, and autoantibody responses. J Immunol. 2009;183:5673–5684. doi: 10.4049/jimmunol.0900432. [DOI] [PubMed] [Google Scholar]
- 76.Kasmar A, Van Rhijn I, Moody DB. The evolved functions of CD1 during infection. Curr Opin Immunol. 2009;21:397–403. doi: 10.1016/j.coi.2009.05.022. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Renukaradhya GJ, Webb TJ, Khan MA, Lin YL, Du W, et al. Virus-induced inhibition of CD1d1-mediated antigen presentation: reciprocal regulation by p38 and ERK. J Immunol. 2005;175:4301–4308. doi: 10.4049/jimmunol.175.7.4301. [DOI] [PubMed] [Google Scholar]
- 78.Palmer MJ, Mahajan VS, Trajman LC, Irvine DJ, Lauffenburger DA, et al. Interleukin-7 receptor signaling network: an integrated systems perspective. Cell Mol Immunol. 2008;5:79–89. doi: 10.1038/cmi.2008.10. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.LeVine AM, Whitsett JA, Hartshorn KL, Crouch EC, Korfhagen TR. Surfactant protein D enhances clearance of influenza A virus from the lung in vivo. J Immunol. 2001;167:5868–5873. doi: 10.4049/jimmunol.167.10.5868. [DOI] [PubMed] [Google Scholar]
- 80.Zhang R, Zhang N, Mueller DL. Casitas B-lineage lymphoma b inhibits antigen recognition and slows cell cycle progression at late times during CD4+ T cell clonal expansion. J Immunol. 2008;181:5331–5339. doi: 10.4049/jimmunol.181.8.5331. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Gracie JA, Robertson SE, McInnes IB. Interleukin-18. J Leukoc Biol. 2003;73:213–224. doi: 10.1189/jlb.0602313. [DOI] [PubMed] [Google Scholar]
- 82.Seki Y, Hayashi K, Matsumoto A, Seki N, Tsukada J, et al. Expression of the suppressor of cytokine signaling-5 (SOCS5) negatively regulates IL-4-dependent STAT6 activation and Th2 differentiation. Proc Natl Acad Sci U S A. 2002;99:13003–13008. doi: 10.1073/pnas.202477099. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Meroni L, Milazzo L, Menzaghi B, Mazzucchelli R, Mologni D, et al. Altered expression of the tetraspanin CD81 on B and T lymphocytes during HIV-1 infection. Clin Exp Immunol. 2007;147:53–59. doi: 10.1111/j.1365-2249.2006.03250.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Mavoungou E, Bouyou-Akotet MK, Kremsner PG. Effects of prolactin and cortisol on natural killer (NK) cell surface expression and function of human natural cytotoxicity receptors (NKp46, NKp44 and NKp30). Clin Exp Immunol. 2005;139:287–296. doi: 10.1111/j.1365-2249.2004.02686.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.O'Connor GM, Hart OM, Gardiner CM. Putting the natural killer cell in its place. Immunology. 2006;117:1–10. doi: 10.1111/j.1365-2567.2005.02256.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Janssens S, Beyaert R. Role of Toll-like receptors in pathogen recognition. Clin Microbiol Rev. 2003;16:637–646. doi: 10.1128/CMR.16.4.637-646.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 87.Gibbings D, Befus AD. CD4 and CD8: an inside-out coreceptor model for innate immune cells. J Leuk Biol. 2009;86:251–259. doi: 10.1189/jlb.0109040. [DOI] [PubMed] [Google Scholar]
- 88.Billecocq A, Spiegel M, Vialat P, Kohl A, Weber F, et al. NSs protein of Rift Valley fever virus blocks interferon production by inhibiting host gene transcription. J Virol. 2004;78:9798–9806. doi: 10.1128/JVI.78.18.9798-9806.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Pepin M, Bouloy M, Bird BH, Kemp A, Paweska J. Rift Valley fever virus (Bunyaviridae: Phlebovirus): an update on pathogenesis, molecular epidemiology, vectors, diagnostics and prevention. Vet Res. 2010;41:61. doi: 10.1051/vetres/2010033. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.LaMere MW, Lam H, Moquin A, Haynes L, Lund FE, Randall TD, Kaminski DA. Contributions of antinucleoprotein IgG to heterosubtypic immunity against influenza virus. J Immunol. 2011;186:4331–4339. doi: 10.4049/jimmunol.1003057. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Haller O, Weber F. The interferon response circuit in antiviral host defense. Verh K Acad Geneeskd Belg. 2009;71:73–86. [PubMed] [Google Scholar]
- 92.Bai F, Town T, Qian F, Wang P, Kamanaka M, et al. IL-10 signaling blockade controls murine West Nile virus infection. PLoS Pathog. 2009;5:e1000610. doi: 10.1371/journal.ppat.1000610. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 93.Ubol S, Phuklia W, Kalayanarooj S, Modhiran N. Mechanisms of immune evasion induced by a complex of dengue virus and preexisting enhancing antibodies. J Infect Dis. 2010;201:923–935. doi: 10.1086/651018. [DOI] [PubMed] [Google Scholar]
- 94.Hsu DH, de Waal Malefyt R, Fiorentino DF, Dang MN, Vieira P, et al. Expression of interleukin-10 activity by Epstein-Barr virus protein BCRF1. Science. 1990;250:830–832. doi: 10.1126/science.2173142. [DOI] [PubMed] [Google Scholar]
- 95.van Putten SM, Wubben M, Hennink WE, van Luyn MJ, Harmsen MC. The downmodulation of the foreign body reaction by cytomegalovirus encoded interleukin-10. Biomaterials. 2009;30:730–735. doi: 10.1016/j.biomaterials.2008.10.043. [DOI] [PubMed] [Google Scholar]
- 96.Spencer CI, Barsotti RJ, Berlin JR. Loading of calcium and strontium into the sarcoplasmic reticulum in rat ventricular muscle. J Mol Cell Cardiol. 2000;32:1285–1300. doi: 10.1006/jmcc.2000.1162. [DOI] [PubMed] [Google Scholar]
- 97.Gold JA, Parsey M, Hoshino Y, Hoshino S, Nolan A, et al. CD40 contributes to lethality in acute sepsis: in vivo role for CD40 in innate immunity. Infect Immun. 2003;71:3521–3528. doi: 10.1128/IAI.71.6.3521-3528.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Anand S, Wang P, Yoshimura K, Choi IH, Hilliard A, et al. Essential role of TNF family molecule LIGHT as a cytokine in the pathogenesis of hepatitis. J Clin Invest. 2006;116:1045–1051. doi: 10.1172/JCI27083. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Gartell AL, Tyner AL. The role of the cyclin-dependent kinase inhibitor p21 in apoptosis. Mol Cancer Ther. 2002;1:639–649. [PubMed] [Google Scholar]
- 100.Choi YL, Park SH, Jang JJ, Park CK. Expression of the G1-S modulators in hepatitis B virus-related hepatocellular carcinoma and dysplastic nodule: association of cyclin D1 and p53 proteins with the progression of hepatocellular carcinoma. J Korean Med Sci. 2001;16:424–432. doi: 10.3346/jkms.2001.16.4.424. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Dong C, Li Q, Lyu SC, Krensky AM, Clayberger C. A novel apoptosis pathway activated by the carboxyl terminus of p21. Blood. 2005;105:1187–1194. doi: 10.1182/blood-2004-06-2188. [DOI] [PubMed] [Google Scholar]
- 102.Chung HK, Yi YW, Jung NC, Kim D, Suh JM, et al. CR6-interacting factor 1 interacts with Gadd45 family proteins and modulates the cell cycle. J Biol Chem. 2003;278:28079–28088. doi: 10.1074/jbc.M212835200. [DOI] [PubMed] [Google Scholar]
- 103.Mansuroglu Z, Josse T, Gilleron J, Billecocq A, Leger P, et al. Nonstructural NSs protein of rift valley fever virus interacts with pericentromeric DNA sequences of the host cell, inducing chromosome cohesion and segregation defects. J Virol. 2010;84:928–939. doi: 10.1128/JVI.01165-09. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Anonymous Rift Valley fever outbreak–Kenya, November 2006–January 2007. MMWR Morb Mortal Wkly Rep. 2007;56:73–76. [PubMed] [Google Scholar]
- 105.Kärber G. Beitrag zur kollectiven Behandlung pharmakologischer Reihensversuche. Arch Exp Path Pharma. 1931;162:480–483. [Google Scholar]
- 106.Pfaffl MW, Horgan GW, Dempfle L. Relative expression software tool (REST) for group-wise comparison and statistical analysis of relative expression results in real-time PCR. Nucleic Acids Res. 2002;30:e36. doi: 10.1093/nar/30.9.e36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.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;25:402–408. doi: 10.1006/meth.2001.1262. [DOI] [PubMed] [Google Scholar]
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