ABSTRACT
XIAP-associated factor 1 (XAF1) is an interferon (IFN)-stimulated gene (ISG) that enhances IFN-induced apoptosis. However, it is unexplored whether XAF1 is essential for the host fighting against invaded viruses. Here, we find that XAF1 is significantly upregulated in the host cells infected with emerging RNA viruses, including influenza, Zika virus (ZIKV), and SARS-CoV-2. IFN regulatory factor 1 (IRF1), a key transcription factor in immune cells, determines the induction of XAF1 during antiviral immunity. Ectopic expression of XAF1 protects host cells against various RNA viruses independent of apoptosis. Knockout of XAF1 attenuates host antiviral innate immunity in vitro and in vivo, which leads to more severe lung injuries and higher mortality in the influenza infection mouse model. XAF1 stabilizes IRF1 protein by antagonizing the CHIP-mediated degradation of IRF1, thus inducing more antiviral IRF1 target genes, including DDX58, DDX60, MX1, and OAS2. Our study has described a protective role of XAF1 in the host antiviral innate immunity against RNA viruses. We have also elucidated the molecular mechanism that IRF1 and XAF1 form a positive feedback loop to induce rapid and robust antiviral immunity.
IMPORTANCE Rapid and robust induction of antiviral genes is essential for the host to clear the invaded viruses. In addition to the IRF3/7-IFN-I-STAT1 signaling axis, the XAF1-IRF1 positive feedback loop synergistically or independently drives the transcription of antiviral genes. Moreover, XAF1 is a sensitive and reliable gene that positively correlates with the viral infection, suggesting that XAF1 is a potential diagnostic marker for viral infectious diseases. In addition to the antitumor role, our study has shown that XAF1 is essential for antiviral immunity. XAF1 is not only a proapoptotic ISG, but it also stabilizes the master transcription factor IRF1 to induce antiviral genes. IRF1 directly binds to the IRF-Es of its target gene promoters and drives their transcriptions, which suggests a unique role of the XAF1-IRF1 loop in antiviral innate immunity, particularly in the host defect of IFN-I signaling such as invertebrates.
KEYWORDS: XAF1, IRF1, antiviral immunity, type I interferon, ISG, ubiquitination
INTRODUCTION
Innate antiviral immunity is the first line of host defense against pathogenic viruses. Emerging and reemerging viruses such as influenza H7N9, MERS-CoV, Zika virus (ZIKV), and SARS-CoV-2 outbroke worldwide and have infected more than 400 million people and killed over 5 million people in the past several years (1–3). During infection by these life-threatening viruses, viral RNAs are recognized by pattern recognition receptors (PRRs) to initiate complex signal transduction pathways, which leads to the induction of type I interferon (IFN-I) and proinflammatory cytokines (4–6). Retinoic acid-inducible gene I (RIG-I), also known as DDX58, is one of the most important cytosolic RNA sensors that recognizes viral RNA derived from invaded viruses (6, 7). Activating RIG-I by viral RNA results in the phosphorylation of TBK1 and IRF3, which activates transcription factors (TFs) including NF-κB, AP-1, and IRF3/7 to induce proinflammatory cytokines and IFN-I (8). IFN-I, including IFN-α and IFN-β, further triggers the phosphorylation of TFs STAT1 and STAT2 via the JAK-STAT pathway to induce over 300 IFN-stimulated genes (ISGs), which synergistically inhibit viral infection by targeting almost all the steps of viral life cycles (9, 10). For example, MX1 is a GTPase that inhibits viral infection by blocking viral transcription, replication, and assembly (9, 11). The 2′,5′-oligoadenylate synthetase 2 (OAS2) binds and activates RNase L to degrade viral RNA in the cytoplasm of host cells and eventually prevent protein synthesis and viral RNA replication (9). DDX60, a DEXD/H box helicase, is a novel antiviral factor that facilitates RIG-I-like receptor-mediated signaling and XRN1 RNA 5′–3′ exonuclease-dependent viral RNA degradation (12, 13). However, the functions of many other ISGs in host innate immunity against viral infection are still unexplored.
X-linked inhibitor of apoptosis (XIAP)-associated factor 1 (XAF1) is identified as an ISG (14–16), which mainly mediates the IFN-β-TRAIL-induced apoptosis in multiple cell lines and functions as a tumor suppressor (14, 17–19). The XAF1 protein contains seven tumor TNF receptor-related factor (TRAF)-like zinc finger (ZF) domains, which interact with IFN regulatory factor 1 (IRF1) and p53 under stress conditions (17, 19). XAF1 suppresses tumorigenesis by inducing the transcripts of p53 and stabilizing p53 protein (17). Genetic mutation of XAF1 determines p53 expression and cancer susceptibility (20). In addition to the important roles of XAF1 as a proapoptotic factor in cancer, it is unknown whether XAF1 is also involved in the regulation of IFN-I-triggered antiviral immunity, as multiple antiviral ISGs do during viral infection. It has been reported that expression of XAF1 is induced during dengue virus (DENV) infection, and XAF1 contributes to DENV-triggered apoptosis in vascular endothelial cells (21). Despite the potential correlation between XAF1 and viral infection, the function of XAF1 in the hosts fight against viral infection is unclear.
IRF1, the first member of the IRF family, was originally identified as a nuclear factor that binds and activates the promoters of IFN-I genes (22, 23). IRF1 is also required for IFN-l induction to combat MERS-CoV infection in human epithelial cells and in vivo (24). The STAT1-IRF1-NLRC5 axis plays a critical role in the MHC class I-mediated antigen presentation pathway during SARS-CoV-2 infection (25). IRF1 is unique and important in innate immunity against pathogens, particularly RNA viruses. Unlike other IRFs, IRF1 exists in a wide swath of invertebrates and represents one of the most ancient components of innate immunity (26). IRF1 is also evolutionally conserved in multiple vertebrates and identified as one of the key TFs included in a core group of 62 ISGs shared by 9 different mammalian species, including bats, the hosts for many reemerging zoonotic viruses (26, 27). IRF1 protein contains a nuclear localization signal (NLS; amino acid residues 117–141) that facilitates the IRF1 nuclear residency (28). The low basal level of IRF1 is present in the nucleus, where it maintains constitutive expression of numerous host defense genes, including MX1 and OAS2 (29). Although IRF1 is not essential for the induction of IFN-I genes (30–32), there is clear evidence that IRF1 suppresses the replication of various RNA viruses (33, 34). For example, IRF1 plays a key role in host antiviral defense against Sendai virus (SeV; a paramyxovirus sensed mainly by RIG-I) and DENV (a flavivirus sensed by both RIG-I and MDA5) (33, 35, 36). IRF1-mediated restriction of hepatitis A virus (HAV) replication is independent of MAVS, IRF3, or STAT1 (29). Moreover, IRF1 facilitates TLR9-dependent IFN-β production in mouse dendritic cells (DCs) by interacting with MyD88 (37). Both IRF1 mRNA and the IRF1 protein are short-lived (38, 39), allowing for rapid and dynamic regulation during viral infection. CHIP, an E3 ligase, degrades IRF-1 by binding to its multifunction domain 2 (Mf2 domain; amino acid residues 106–150) (40). It has also been reported that XAF1 interacts with IRF1, antagonizes CHIP-mediated degradation of IRF1, and eventually inhibits tumorigenesis (19). However, it is unveiled whether XAF1-mediated IRF1 stabilization also facilitates IRF1-dependent host defense against RNA viruses.
In this study, we have found that IRF1 induced XAF1 expression transcriptionally during RNA virus infection. XAF1 stabilizes the IRF1 protein posttranslationally by antagonizing the CHIP-mediated degradation, and thus forms an IRF1-XAF1 positive feedback loop to induce more antiviral IRF1 target genes, including DDX58, DDX60, MX1, and OAS2. Our study has described a protective role of XAF1 in the host antiviral innate immunity against RNA viruses.
RESULTS
Upregulation of XAF1 expression in hosts infected with RNA viruses.
Infectious diseases caused by the RNA viruses, including influenza A virus (IAV), ZIKV, and SARS-CoV-2, have frequently outbroken in the past several years. To discover the antiviral genes that broadly protect the host against these emerging or reemerging viruses, we sequenced, collected, and reanalyzed multiple transcriptome data sets of immune cells infected with RNA viruses. In the peripheral blood mononuclear cells (PBMCs) from ZIKV-infected rhesus monkeys, induction of XAF1 expression was top ranked among all the antiviral ISGs at 1-day postinfection (Fig. 1A and B). Compared to the PBMCs from the healthy controls, higher expression of XAF1 mRNA was detected in the PBMCs from the moderate and severe influenza patients (Fig. 1C). Similarly, more XAF1 transcripts were detected in the PBMCs from the SARS-CoV-2-positive COVID-19 patients than the healthy controls (Fig. 1D).
Next, we performed viral infection in vitro and in vivo assays to confirm these phenotypes. Infection with IAV H1N1 strains WSN and PR8 dramatically induced XAF1 transcription in human PBMCs and A549 cells (Fig. 1E and F). Infection with another two RNA viruses, vesicular stomatitis virus (VSV) and SeV, also highly induced XAF1 expression in these human cells (Fig. 1G and H). In addition, upregulation of XAF1 mRNA expression was observed in the mouse primary peritoneal macrophages (PMs) infected with WSN, PR8, VSV, and SeV in a time-dependent manner (Fig. 1I). We further challenged mice with PR8 intranasally and observed that the Xaf1 mRNA level was upregulated in the lung tissues of the PR8-infected mice (Fig. 1J). XAF1 protein levels were also induced in the PR8-infected PBMCs and A549 cells in dose-dependent and time-dependent manners (Fig. 1K–M).
Taken together, these results have shown that infection with various RNA viruses, including VSV, SeV, ZIKV, and the life-threatening IAV and SARS-CoV-2, significantly induces XAF1 expression at both mRNA and protein levels in vitro and in vivo, which suggests the potential role of XAF1 in the regulation of host antiviral immunity against these RNA viruses.
IRF1 is required for the induction of XAF1 during host antiviral immunity.
To explore the signaling pathways that control the induction of XAF1 during viral infection, we transfected PMs with two viral RNA mimics, poly(I:C) and 3p-hpRNA, which potently activate the RIG-I-MAVS-TBK1-IRF3-IFN-I signaling axis (41, 42). Both RNA mimics significantly induced XAF1 transcription (Fig. 2A and B), which suggested that viral RNA-triggered activation of the RIG-I signaling pathway was essential for the induction of XAF1. IFN-I, including IFN-α and IFN-β, two key products of activated RIG-I signaling, induced XAF1 expression in PMs and A549 cells (Fig. 2C and D). During PR8 and WSN infection, much less induction of XAF1 was observed in the Ifnar1−/− PMs than in the wide-type (WT) cells (Fig. 2E and Fig. S1A). Activation of NF-κB, JAK-STAT1/2, and MAPK signaling pathways is required to fully induce IFN-I, ISGs, and proinflammatory cytokines during antiviral immunity (10, 43). Specific inhibitors targeting NF-κB p65, MAPK JNK, and JAK significantly attenuated the induction of XAF1 during the PMs infected with PR8 and WSN (Fig. 2F and Fig. S1B–F). These results indicated that activating NF-κB, JNK, and JAK was required to induce XAF1 during RNA virus infection.
Next, we analyzed the underlying transcription factors that controlled XAF1 expression. It has been reported that induction of IRF1 expression is under the control of NF-κB (39), JNK (44), and JAK-STAT1 (15). XAF1 transcription is activated by IRF1 under stressful conditions (19). Therefore, we speculated that induction of the transcription factor IRF1 determined the elevated XAF1 expression during viral infection. Infection with RNA viruses, including WSN, PR8, VSV, and SeV induced IRF1 expression (Fig. S2A). IRF1 bound to the promoter region of Xaf1, and treatment with IFN-γ, a potent JAK-STAT1 activator, enhanced this binding (Fig. S2B). Knockout of IRF1 significantly reduced the induction of XAF1 transcription during WSN infection and IFN-β treatment (Fig. 2G and H, and Fig. S2C). Almost no XAF1 proteins were detected in the WSN-infected IRF1−/− A549 cells (Fig. 2I). However, overexpression of IRF1 gradually induced XAF1 protein in a dose-dependent manner in HEK293T cells (Fig. 2J). Two potential IRF-binding elements (IRF-Es) were predicted in the promoter of XAF1 (Fig. 2K). IRF1 and the key adaptors in the RIG-I signaling pathways dramatically induced the XAF1 transcriptional activity (Fig. 2L). However, mutation of IRF-E1 or IRF-E2 significantly abolished the transcriptional activity of XAF1 induced by the overexpressed RIG-I, MAVS, and IRF1 (Fig. 2M). Biotinylated DNA that contained the two IRF-Es of the XAF1 promoter interacted with IRF1 rather than STAT1 in the RIG-I-overexpressed HEK293T cells (Fig. 2N), although the IRF-E and IFN-sensitive response element (ISRE) have very similar sequences. In RIG-I or IRF1-overexpressed HEK293T cells, the core region of the XAF1 promoter with mutant IRF-E1, IRF-E2, or both inhibited biotinylated DNA-IRF1 binding (Fig. 2N and O). These results indicated that the transcription factor IRF1 bound to the IRF-Es in the XAF1 promoter and induced XAF1 transcription during host antiviral immunity against RNA viruses.
XAF1 protects the host against multiple RNA viruses.
To investigate the function of XAF1 in host antiviral immunity, we stably overexpressed XAF1 in A549 cells via a lentiviral gene delivery system (Fig. S3A). Overexpression of XAF1 inhibited the luciferase activity in PR8-Luc-infected A549 cells (Fig. 3A). In the WSN-infected A549 cells, less viral RNA and supernatant viral particles were detected in the XAF1-overexpressed cells than in the control cells (Fig. 3B and C). Consistently, overexpression of XAF1 inhibited the viral RNA expression in the ZIKV-, VSV-, or SeV-infected A549 cells (Fig. 3D–F). Much fewer green fluorescent protein (GFP)-positive cells and less GFP fluorescence were observed in the VSV-GFP-infected or SeV-GFP-infected A549 cells than in the control cells (Fig. 3G and H and Fig. S3B, C). These results indicate that overexpression of XAF1 broadly inhibits the replication of RNA viruses, including IAV, ZIKV, VSV, and SeV. In addition, more viral RNA and supernatant viral particles were detected in the PBMCs where the XAF1 was knocked down via RNA interference (RNAi) (Fig. 3I–K), which suggested a protective role of XAF1 in human primary immune cells. Taken together, these results demonstrated that upregulation of XAF1 expression during viral infection broadly protected the host against RNA viruses.
Knockout of XAF1 facilitates RNA virus infection in vitro and in vivo.
We further validated the physiological function of XAF1 during host fighting against the invaded RNA viruses. In A549 cells, much more ZIKV RNA was detected in the XAF1−/− cells than in the WT cells (Fig. 4A). Plaque assay results also indicated that more viral particles were released into the supernatant of XAF1−/− cells than the WT cells (Fig. 4B). Next, we deleted the Xaf1 in mice by CRISPR/Cas9 technology and confirmed the knockout efficiency in mouse organs and PMs by PCR or RT-qPCR (Fig. S4A–D). More viral RNA was detected in the Xaf1−/− fibroblast and bone marrow-derived macrophages (BMDMs) than in the WT cells during VSV and SeV infection (Fig. 4C–F). During PR8 and WSN infection, more viral RNA in the Xaf1−/− PMs and more viral particles in the Xaf1−/− PMs supernatant were detected than in their respective WT controls (Fig. 4G–J). In addition to these results from the ex vivo experiments, more viruses were detected in the lung homogenate from the Xaf1−/− mice than the WT group in the mice infected with PR8 intranasally (Fig. 4K). More severe lung injuries, including alveolar wall thickening, alveolar cavity atrophy, and neutrophil infiltration, were observed in the PR8-infected Xaf1−/− mice than in the WT mice (Fig. 4L and M and Fig. S4E). Similarly, VSV infection intraperitoneally led to much more severe lung injuries in the Xaf1−/− mice than in the WT mice (Fig. S4F). Next, WT and Xaf1−/− mice were challenged with a lethal dose of PR8 intranasally, and the bodyweight loss and survival rate for 12 days were checked. Xaf1−/− mice were more susceptible to PR8-induced body-weight loss and lethality than the WT mice (Fig. 4N and O).
In summary, in vitro, ex vivo, and in vivo experiments consistently indicated that knockout of XAF1 facilitated RNA virus infection. XAF1 was essential in the host fighting against numerous RNA viruses, including the life-threatening IAV.
Attenuated induction of IRF1 target genes in the Xaf1–/– macrophages.
We sought to explore the underlying molecular mechanism for the protective role of XAF1 during viral infection. First, given that XAF1 is an ISG that enhances IFN-induced apoptosis (14, 15), we checked the proapoptotic function of XAF1 during IAV infection. PR8 infection significantly induced apoptosis of A549 cells. However, overexpression of XAF1 did not affect the percentage of the PR8-induced apoptosis (Fig. S5A). In the VSV- and SeV-infected BMDMs, knockout of Xaf1 significantly reduced the activation of RIG-I-like receptors and defense response to virus signaling pathways. However, there was no significant difference in the apoptosis signaling pathway between WT and Xaf1−/− cells during viral infection (Fig. S5B and C).
Among all the differentially expressed genes in the immune cells infected with RNA viruses (e.g., ZIKV, VSV, and SeV), IRF1 target genes were highly and significantly enriched (Fig. 5A–C). Combined with previous research and the list of IRF1 target genes in the Molecular Signatures Database (Table S1), we selected several antiviral genes as the representative IRF1 target genes, including DDX58, MX1, OAS2, and DDX60 (45). The transcripts of these genes were all highly induced during viral infection and contain IRF-E motifs in their promoter regions (Fig. S5D–F). Less induction of the Ifnb1, Mx1, Oas2, and Ddx60 transcripts was observed in the PR8-infected Xaf1−/− PMs than in the WT cells (Fig. 5D). Knockdown of XAF1 in human PBMCs attenuated the PR8 infection-triggered induction of the MX1, OAS2, and DDX60 transcripts, but not the IFNB1 transcripts (Fig. 5E). Viral RNA mimic 3p-hpRNA induced more transcripts of the Ifnb1 and IRF1 target genes, including Mx1, Oas2, and Ddx60, in the WT PMs than in the Xaf1−/− PMs (Fig. 5F). In addition, fewer Ifnb1 and Ifna4 transcripts were detected in the lungs of the PR8-infected Xaf1−/− mice than in the WT mice (Fig. 5G). Less IFN-α and IFN-β were detected in the lung homogenate from the PR8-infected Xaf1−/− mice than in the WT mice (Fig. 5H).
These results indicated that the induction of IRF1 target genes such as MX1, OAS2, and DDX60 was a defect in the RNA virus-infected XAF1−/− immune cells.
XAF1 facilitates IRF1-dependent induction of antiviral ISGs.
IRF1 plays a powerful role in antiviral immunity mainly through its transcriptional activity (29, 46). We tried to investigate how IRF1 regulated the transcription of DDX58, MX1, OAS2, and DDX60. The promoters of these genes were cloned into the pGL4.17 promoter reporter vector, and overexpression of IRF1 dramatically induced the transcription activity of these genes (Fig. 6A–D). The IRF-Es in the IRF1 binding region were predicted, mutated, and cloned into the promoter reporter vector (Fig. S5E, F and Fig. S6). Three IRF-Es were located in the promoter of DDX58, and the third one was critical for the induction of DDX58 transcription by IRF1 (Fig. 6E and Fig. S6A). Similarly, the second IRF-E of MX1, all the three IRF-Es of OAS2, and the first and second IRF-Es of DDX60 were essential for the transcriptional induction of MX1, OAS2, and DDX60, respectively (Fig. 6F–H and Fig. S6B–D). Overexpression of XAF1 further facilitated the transcription activities of DDX58, MX1, OAS2, and DDX60 (Fig. 6I–L). Together, the results from these promoter reporters demonstrated that XAF1 facilitated IRF1-dependent induction of the antiviral ISGs, including DDX58, MX1, OAS2, and DDX60.
XAF1 maintains IRF1 expression and IRF1-dependent antiviral immunity.
To investigate how XAF1 facilitates the induction of IRF1 target genes, we first measured the IRF1 expression during viral infection. WSN infection induced IRF1 proteins in WT PMs, while attenuated induction of IRF1 was observed in the Xaf1−/− PMs (Fig. 7A). Overexpression of XAF1 significantly upregulated the IRF1 protein levels in both uninfected and WSN-infected A549 cells (Fig. 7B). Next, we further determined whether XAF1 regulated IFN-I upstream or downstream signaling. In the WSN-infected PMs, more phosphorylation of STAT1 at the early stage (4 h postinfection) but less phosphorylation of STAT1 at the later stage (8 h postinfection) was detected in the Xaf1−/− PMs than in the WT cells. However, the phosphorylation of TBK1 and IRF3, the IFN-I upstream signaling, was similar in the WSN-infected WT and Xaf1−/− PMs (Fig. 7C). These results suggested that XAF1 mainly regulated the IFN-I downstream signaling.
IFN-β induced the IRF1 target genes, including DDX58, MX1, OAS2, and DDX60 in HEK293T cells, while knockdown of IRF1 via RNAi attenuated the induction of these genes by IFN-β (Fig. S7). Induction of these IRF1 target genes was impaired in the IFN-β-treated Xaf1−/− PMs than the WT cells (Fig. 7D), which drove us to check whether the induction of IRF1 by IFN-β was also attenuated in Xaf1−/− PMs. IFN-β robustly induced IRF1 protein as early as 30 min posttreatment. However, much less induction of IRF1 was observed in the Xaf1−/− PMs than in the WT cells (Fig. 7E). In the IFN-β-stimulated PMs, phosphorylation of STAT1 was later than the induction of IRF1 protein, and there was no difference in phosphorylated STAT1 between WT and Xaf1−/− cells (Fig. 7E). Overexpression of XAF1 inhibits WSN infection in the WT A549 cells but not in the IRF1−/− cells (Fig. 7F). Consistently, overexpression of XAF1 facilitated the induction of the OAS2 and DDX60 in the WT A549 cells but not in the IRF1−/− cells (Fig. 7G and H).
Together, these results indicated that XAF1 maintained the IRF1 expression and IRF1-dependent antiviral immunity. IRF1 mediated the protective effect of XAF1 during host cells fighting against RNA viruses.
XAF1 inhibits the proteasome degradation of IRF1.
To clarify how XAF1 upregulates IRF1 expression, we compared the IRF1 mRNA level in the WT and Xaf1−/− macrophages infected with WSN or treated with IFN-β. There was no difference in IRF1 mRNA level between WT and Xaf1−/− macrophages (Fig. 8A and B), which indicated that XAF1 did not affect IRF1 transcription during viral infection. Overexpression of XAF1 upregulated IRF1 protein levels in a dose-dependent manner in the HEK293T cells without any infection or stimulation (Fig. 8C), which further suggested that XAF1 regulates the turnover of the IRF1 protein. Next, we checked the half-life of the IRF1 protein in the PR8-infected PMs by the cycloheximide (CHX) chase assay. Much less IRF1 was left in the Xaf1−/− PMs compared to WT cells. The half-life of the endogenous IRF1 protein induced by PR8 infection was shortened more in the Xaf1−/− PMs than in the WT cells (Fig. 8D and E). These results suggested that XAF1 potentially inhibits IRF1 protein degradation. The proteasome pathway commonly contributes to protein degradation in eukaryotic cells. Blocking proteasome-mediated protein degradation by the inhibitor MG132 completely restored the IRF1 protein level in the PR8-infected Xaf1−/− PMs (Fig. 8F), indicating that XAF1 stabilizes the IRF1 protein by suppressing the proteasome pathway.
XAF1 stabilizes IRF1 protein by antagonizing CHIP-mediated degradation.
We next explored the mechanism by which XAF1 inhibits IRF1 degradation. It has been reported that XAF1 interacts with IRF1 and inhibits IRF1 degradation during tumor therapy (19). We confirmed the XAF1-IRF1 interaction by exogenous expression of XAF1 and IRF1 in HEK293T cells (Fig. 9A and B). The Mf2 and NLS region of IRF1 mediated the interaction between XAF1-IRF1 in the nucleus (Fig. 9C and D). E3 ligase CHIP mediates the ubiquitination and degradation of IRF1 (47). Our coimmunoprecipitation analysis for XAF1, IRF1, and CHIP expressed in HEK293T cells showed that the overexpression of XAF1 significantly inhibited the IRF1-CHIP interaction and restored exogenous IRF1 expression (Fig. 9E). Further ubiquitination analysis in the IRF1-overexpressed HEK293T cells showed that the overexpression of CHIP significantly promoted IRF1 K48 ubiquitination, while overexpression of XAF1 significantly inhibited CHIP-mediated K48 ubiquitination of IRF1 (Fig. 9F). Endogenous ubiquitination analysis in the PMs infected with PR8 revealed that knockout of XAF1 enhanced IRF1 ubiquitination and reduced the IRF1 protein level (Fig. 9G). These results indicated that XAF1 was essential for stabilizing IRF1 protein during viral infection. XAF1 inhibited the K48 ubiquitination and degradation of IRF1 by antagonizing CHIP-IRF1 interaction.
Our study has described a positive feedback loop between IRF1 and XAF1, which plays an important role during the host fighting against invaded RNA viruses independent of apoptosis (Fig. 9H). IRF1 induces XAF1 expression transcriptionally, and XAF1 stabilizes the IRF1 protein posttranslationally. IRF1 transcriptionally induced by the phosphorylated STAT1 and stabilized by XAF1 further facilitates the induction of the IRF1 target genes such as DDX58, DDX60, MX1, and OAS2 during viral infection (Fig. 9H). These IRF1 target genes directly inhibit viral replication and positively regulate the RIG-I signaling pathway to induce more IFN-I in host antiviral innate immunity against RNA viruses.
DISCUSSION
In the present study, we have provided evidence that XAF1 stabilizes IRF1 proteins and facilitates IRF1-mediated host defense against RNA viruses in an apoptosis-independent manner. XAF1 is considered a proapoptotic factor that suppresses tumorigenesis (17, 19), while we have shown that XAF1 plays a positive role in host antiviral innate immunity as many other antiviral ISGs do. XAF1 is a potent IRF1 stabilizer that promotes the induction of antiviral IRF1 target genes, suggesting that XAF1-IRF1 interaction is broadly beneficial for the host fighting against invading RNA viruses such as influenza, DENV, ZIKV, and SARS-CoV-2.
Mammalian IRF1 proteins are predominantly localized in the nucleus (26), allowing more rapid induction of antiviral genes and responses to viral infections. Basal expression of IRF1 drives intrinsic hepatocytes resistant to multiple RNA viruses, including HAV, HCV, DENV, and ZIKV (29). About 260 genes expressed constitutively in human respiratory epithelial cells are under the control of IRF1 (45). XAF1 was initially identified as a nuclear protein that binds and antagonizes the anticaspase activity of XIAP (48). Recently, studies further indicate that XAF1 colocalizes with the TFs, including p53 and IRF1 in the nucleus (17, 19). Therefore, it is possible that the interaction between XAF1 and IRF1 in the nucleus keeps low levels of expression of IRF1 target genes such as MX1 and OAS2 and maintains a basal antiviral state at the physiological condition. XAF1 and IRF1 form a positive feedback loop in the virus-infected cells to facilitate antiviral innate immunity under pathophysiological conditions.
We have shown that the expression of XAF1 is robustly and lastingly upregulated in the host cells infected by numerous RNA viruses in vitro and in vivo. Although the expression patterns of the XAF1 protein are different in the human cells such as PBMCs and A549 cells, XAF1A is the most dominant isoform. Viral infection activates NF-κB, MAPK, and JAK-STAT1/2 signaling, which may synergistically induce the IRF1 transcription (15, 39, 44). Our results suggest that IRF1 binds to the promoter region of XAF1 and drives XAF1 transcription dramatically. Given the rapid turnover of IRF1 mRNA and IRF1 proteins, XAF1 has more potential than IRF1 to be a sensitive and reliable diagnostic marker of viral infectious diseases. Our data and other clinical data sets have suggested that elevated XAF1 expression is positively correlated with the SARS-CoV, MERS-CoV, and SARS-CoV-2 infection in the lungs (49, 50) as well as the symptoms of the COVID-19 and influenza patients (51).
The IRF-E (consensus sequence: AANNGAAA) and the ISRE (consensus sequence: GAAANNGAAA) are extremely similar (26). IRF-E could be regarded as a shortened version of ISRE. IRF1 binds to “GAAA” sequences within IRF-E and ISRE, while STAT1-STAT2-IRF9 (known as ISGF3) complex only recognizes the ISRE, which suggests that IRF1 can drive gene transcription independent of STAT1 and also regulate a larger range of ISGs than ISGF3. Our gene set enrichment analysis (GSEA) analysis results show that IRF1 target genes, but not STAT1 target genes, were significantly induced in the ZIKV-infected monkey PBMCs and VSV/SeV-infected mouse BMDMs. We selected and confirmed several IRF1 target genes (DDX58, DDX60, MX1, and OAS2), which were differentially expressed in the PR8-infected, 3p-hpRNA-transfected, or IFN-β-treated WT and Xaf1−/− macrophages or mice lungs. These IRF1 target genes indirectly or directly inhibit viral replication by targeting the viral life cycle or enhancing IFN-I-dependent antiviral immunity. IRF1 is more conserved than IFN-I and STAT1 (26), suggesting that IRF1-dependent antiviral immunity plays more important roles in the species without IFN-I signaling. Moreover, IRF1 target genes robustly and rapidly respond to viral infection, which is essential for host defense at the early stage. However, the IRF1 protein is extremely unstable and has a rapid turnover rate, which may limit its antiviral effect. Our study has provided a novel factor that stabilizes IRF1 protein and maintains IRF1-dependent antiviral immunity.
Transcriptional induction of IRF1 mRNA is insufficient to accumulate the IRF1 proteins and maintain IRF1-dependent antiviral immunity. We have shown that the knockout of XAF1 significantly reduced the half-life of IRF1 proteins in the PR8-infected macrophages. IRF1 protein has a rapid turnover rate with a short half-life, and the K48-linked ubiquitination determines IRF1 stability (38, 39, 52–54). Several ubiquitin E3 ligases, including CHIP, have been shown to mediate the ubiquitin-proteasome system-dependent degradation of IRF1 via ubiquitination (40, 55). Our results indicate that knockout of XAF1 increased the interaction between the K48-ubiquitin chain and IRF1, and overexpression of XAF1 antagonizes the CHIP-IRF1 interaction. Therefore, in addition to inducing IRF1 transcription during viral infection, we have outlined an alternative pathway to enhance IRF1-dependent antiviral immunity.
In conclusion, we have demonstrated that XAF1 and IRF1 form a positive feedback loop to facilitate the host defense against numerous RNA viruses. Infection with RNA viruses upregulates XAF1 expression by inducing its master TF IRF1, and the elevated XAF1 stabilizes the IRF1 protein to induce more antiviral IRF1 target genes. Although we have described the protective role of the XAF1-IRF1 positive feedback loop during the host’s fight against several RNA viruses, further studies are required to elucidate the function of XAF1 when the host is challenged with other emerging RNA viruses, including SARS-CoV-2 and DNA viruses such as Herpes simplex virus and Adenovirus.
MATERIALS AND METHODS
Mice.
Xaf1−/− mice (C57BL/6N background) were generated by Cyagen Biosciences (Suzhou, China). Briefly, a pair of single guide RNAs (sgRNAs) 5′-TACAAGTTAGCTAGGGCTGTT GG-3′ and 5′-TTCCGCTGTTCCAACGTGGTTGG-3′ were designed to generate a 4.4 kb chromosomal deletion on Xaf1 (Gene ID: 327959). Mice genotyping primer sequences were 5′-GATGGAATGGGTTGGCAGCGTTC-3′ (F1), 5′-CTCCTTGCACACTCATGGGATTG-3′ (R1), and 5′-GTACCAGGGCAA CAGGCAACTTTC-3′ (R2). PCR product sizes were 635 bp (F1+R1, WT mice) and 910 bp (F1+R2, Xaf1−/− mice). The WT C57BL/6N mice were ordered from Vital River Laboratory Animal Technology (Beijing, China). All the mice were maintained in the specific pathogen-free (SPF) environment at Suzhou Institute of Systems Medicine (ISM) under a controlled temperature (25°C) and a 12 h day-night cycle. All animal experiments were conducted according to the US National Institutes of Health Guide for the Care and Use of Laboratory Animals and approved by the Animal Service Center of ISM (ISM-IACUC-0011-R).
Reagents.
Primary antibodies specific for IgG (No. 2729), GAPDH (No. 5174), XAF1 (No. 13805), IRF1 (No. 8478 and 79132), RIG-I (No. 3743), p-TBK1 (No. 5483), TBK1 (No. 3504), p-IRF3 (No. 29047), IRF3 (No. 4302), p-STAT1 (No. 9167), STAT1 (No. 14994), p-ERK1/2 (No. 9101), ERK1/2 (No. 4695), p-JNK (No. 4668), JNK (No. 9252S), p-p38 (No. 9215), p38 (No. 9212), p-p65 (No. 3033), p65 (No. 6956), HA-Tag (6E2)-HRP (No. 2999), Myc-Tag-HRP (No. 2040), and K48-Ub-HRP (No. 12805) were purchased from Cell Signaling Technology (Danvers, MA, USA). HRP-linked secondary antibodies specific for rabbit IgG and mouse IgG were also from Cell Signaling Technology. Primary antibodies against α-Tubulin (No. T5168), the anti-FLAG M2 Affinity Gel (No. A2220), and anti-HA-Agarose (No. A2095) were from Sigma (St.Louis, MO, USA). NF-κB inhibitor BAY11-7082, MAPK pathways inhibitors, including SB203580, PD98059 and SP600125, and JAK Inhibitor INCB018424 were purchased from InvivoGen (San Diego, CA).
Cell culture.
Human embryonic kidney 293T (HEK293T) cells, human nonsmall-cell lung cancer A549, and Madin-Darby canine kidney (MDCK) cells were purchased from American Type Culture Collection (ATCC) and were cultured in Dulbecco's modified Eagle's medium (DMEM; GIBCO), supplemented with 10% heat-inactivated fetal bovine serum (FBS; GIBCO), 100 units/mL penicillin, and 100 μg/mL streptomycin (1% P/S; GIBCO), at 37°C and 10% CO2. For mouse primary peritoneal macrophage (PM) preparation, C57BL/6N mice (male, 6–8 weeks old) were intraperitoneally injected with a 3% fluid thioglycolate medium. Three days later, peritoneal exudate cells were collected and incubated. Then, 2 h later, the medium was replaced, and the adherent monolayer cells were PMs. PMs were cultured in RPMI 1640 medium (GIBCO) supplemented with 10% FBS and 1% P/S. To obtain human PBMCs, whole blood from separate healthy donors diluted with PBS (4 mL) was gently added above 3 mL of Ficoll-Paque media (GE Healthcare) in a Falcon tube and centrifuged with a density gradient. Four layers were formed, and PBMCs in the second layer were gently removed using a pipette and then added to PBS to wash off the remaining platelets. PBMCs were cultured in the RPMI 1640 medium supplemented with 10% FBS and macrophage colony-stimulating factor (M-CSF; R&D Systems) for 5 to 7 days at 37°C along with 10% CO2. The PBMCs used in the time-course experiments were from the same donor, and the PBMCs per replicate in each group were from separate donors. The use of PBMCs conforms to the institutional guidelines of Zhejiang University (IRB-2021-028).
Virus infection, TCID50 assay, and PR8-luciferase assay.
Cells were infected with PR8, WSN, PR8-Luc, VSV, or VSV-GFP with the indicated multiplicity of infection (MOI) and time. The IAV viruses were diluted in RPMI 1640 or DMEM containing 0.5 μg/mL tosyl-l-phenylalanine chloromethyl ketone (TPCK)-trypsin (Sigma) and infected the cells for 1 h. These cells were washed with PBS and grown in the cell culture medium. IAV was propagated in the MDCK cells, and the viral titer was measured by 50% tissue culture infectious dose (TCID50) assay in the MDCK cells, as described previously (56). For in vivo PR8 infection, age- (8–10 weeks old) and sex-matched mice were anesthetized with 1% pentobarbital sodium, and the nasal cavity was dripped with 100 PFU of PR8. For the TCID50 assay, the IAV virus sample was diluted in virus growth medium (DMEM containing 1 μg/mL PCK-trypsin, 0.3% BSA, 1% P/S, and 25 mM HEPES buffer) across a 96-well tissue culture plate with MDCK cells. Then, 2 h later, the medium was replaced by the fresh medium, and the cells were incubated for up to 48 to 72 h. For the PR8-luciferase assay, cells were infected by the PR8-Luc virus at the indicated MOI and time points. The supernatants were collected, and the renilla luciferase activity was measured using the Renilla luciferase assay system (Promega) according to the manufacturer's instructions.
ZIKV infection in vitro and in vivo.
ZIKV (GZ01/2016; GenBank accession no. KU820898) was propagated in the Aedes albopictus C6/36 cells and titrated by plaque assay on BHK-21 cells (57). A549 cells were infected with ZIKV at the indicated MOI for 24 h, total RNA was extracted from the ZIKV-infected cells for viral RNA measurement, and supernatant viruses were collected for plaque assay. For ZIKV infection in rhesus monkeys, the experiments were designed as described previously (58). Briefly, four healthy 5-year-old rhesus monkeys (5–6 kg) were screened by ELISA and showed IgG antibodies negative against ZIKV, DENV, JEV, and YFV. Rhesus monkeys were subcutaneously injected with 105 PFU of ZIKV. Blood samples were collected 1 day before inoculation and 1, 8, and 14 days after inoculation. PBMCs were isolated from whole blood samples by gradient centrifugation using Ficoll-Plaque. Total RNA of PBMCs was extracted with a PureLink RNA minikit (Life Technologies) for transcriptome analysis.
Plasmid construction.
Human XAF1 (Gene ID: 54739) and IRF1 (Gene ID: 3659) ORFs with indicated tags were PCR-amplified using HEK293T cDNA as the templates, followed by insertion into a FG-EH-DEST2-PGK-Puro-WPRE (FGEH) empty vector. IRF1 truncated mutants HA-ΔNLS and HA-ΔMf2 were cloned into the FGEH vector for interacting domain mapping. The GFP-tagged IRF1, IRF1-NLS, and IRF1-Mf2 were cloned into the FGEH vector for colocalization assay. Promoter reporter vectors containing the promoters of human XAF1 (Gene ID: 54739), DDX58 (Gene ID: 23586), MX1 (Gene ID: 4599), OAS2 (Gene ID: 4939), or DDX60 (Gene ID: 55601) were generated by PCR amplification using the HEK293T genome as a template, followed by insertion into the pGL4.17 vector (Promega). Mutant promoter-reporter plasmids were constructed by the Muta-direct TM kit (Sbsgene). The IRF1 overexpression plasmid was kindly provided by Professor Genhong Cheng (University of California, Los Angeles, CA). HA-K48 Ub and CHIP plasmids were gifted by Dr. Jun Cui (Sun Yat-Sen University, China). All constructs were confirmed by Sanger DNA sequencing, and all the amplification primers were available upon request.
Generation of XAF1-stably overexpressing, IRF1–/–, and XAF1–/– A549 cells.
Human Flag-XAF1-expressing plasmids with an FGEH backbone were transfected into the A549 cells, and these cells were selected by 2 μg/mL puromycin (InvivoGen) after 48 h transfection. After 2 weeks of selection, the population cells were cultured in the medium with 0.5 μg/mL puromycin, and the expression level of XAF1 was confirmed by immunoblot analysis. IRF1−/− A549 cells were generated using CRISPR/Cas9 technology. sgRNAs targeting IRF1 (5′-CACCGTCTAGGCCGATACAAAGCAG-3′ and 5′-AAACCTGCTTTGTATCGGCCTAGAC-3′) and sgRNAs targeting XAF1 (5′-CACCGAAGCTTGCAGTG CTCCTCCA-3′ and 5′-AAACTGGAGGAGCACTGCA AGCTTC-3′) were cloned into the lentiCRISPRv2 vectors (Addgene no. 52961). The HEK293T cells were transfected with IRF1 or XAF1 sgRNAs lentiCRISPRv2, pLS3, pLS4, and pLS5 plasmids to generate Lenti-CRISPR virus particles. Viral supernatants were harvested after 48 h transfection and used to infect WT A549 cells. Infected cells were selected with 2 μg/mL puromycin at 48 h postinfection. The selected cells were cultured in the medium with 0.5 μg/mL puromycin for 14 d, and the expression level of IRF1 or XAF1 was confirmed by immunoblot analysis.
Cell transfection and stimulation.
The plasmids were transfected into HEK293T cells using Polyethylenimine (Polysciences) and A549 cells using Lipofectamine 2000 (Invitrogen). The siRNA control (5′-UUCUCCGAACGUGUCACGUTT-3′) and the siRNA (5′-GCUCCUGAAAGGGAAAUCUTT-3′) targeting XAF1 were delivered into PBMCs using INTERFERin (Polyplus-transfection) according to the manufacturer’s instruction. Cells were treated with MG132 (10 mM; Sigma), CHX (100 mg/mL; Sigma), and recombinant IFN-α (500U/mL; PBL Assay Science) or IFN-β (100U/mL or 500U/mL; PBL Assay Science) at indicated concentration and time points.
Immunoblot and immunoprecipitation (IP).
For immunoblot analysis, cells were lysed using cold radioimmunoprecipitation assay (RIPA) lysis buffer (Beyotime Biotechnology) supplemented with a complete protease inhibitor cocktail (Roche) and the phosphatase inhibitor PhosSTOP (Roche) according to the manufacturer's instructions. Protein concentrations of the extracts were measured using a bicinchoninic acid (BCA) assay (Beyotime Biotechnology) and equalized with lysis buffer. Equal amounts of the extracts were loaded and subjected to SDS-PAGE, transferred onto polyvinylidene difluoride (PVDF) membranes (Millipore), and blotted with the chemiluminescence horseradish peroxidase (HRP) substrate (Millipore). For IP, cells were lysed using lysis buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, and 1% Triton X-100) and a complete protease inhibitor cocktail. Extracts were incubated overnight with FLAG M2 Affinity Gel, anti-HA-Agarose, or appropriate antibodies plus protein A/G beads. Beads were washed, eluted, and then operated as immunoblot analysis.
Immunofluorescence confocal microscopy.
HEK293T cells seeded on glass coverslips were transiently cotransfected with Flag-XAF1 and indicated GFP-tagged vectors for 24 h. Cells were washed briefly with PBS, fixed in 4% paraformaldehyde, permeabilized with 0.2% Triton X-100 in PBS, and blocked with 5% goat serum. For colocalization assays of XAF1 and IRF1, cells were incubated with anti-FLAG primary antibody and stained with the fluorescent secondary antibody. After 4′,6-diamidino-2-phenylindole (DAPI) incubation, fluorescent imaging was obtained with a LEICA TCA SP8 confocal microscope.
RNA-sequencing (RNA-seq) and transcriptomes analysis.
For ZIKV-infected monkey PBMCs, the quality of the extracted RNA was evaluated by the Agilent Technologies 2100 Bioanalyzer, and RNA-seq libraries were constructed using an Illumina TruSeq stranded mRNA sample preparation kit according to the manufacturer's guidelines. High-throughput sequencing was performed using a Hiseq 10X platform with the paired-end 2 × 150-bp, dual-index format. For RNA-seq data analysis, first, trimmomatic was used to remove Illumina sequencing adapters within the raw reads of every sample and trim the low-quality bases of both reads ends. Second, the clean reads were aligned to the rhesus monkey genome (rheMac10) with STAR, and the alignment bam files were used as an HTSeq-count (command of the python package HTSeq) input to obtain the gene read counts. The Benjamini Hochberg method was used to adjust the generated P-value to control the false discovery rate (FDR). Genes with a FDR < 0.05 and fold change >2 were identified as significantly differentially expressed genes (DEGs) under the conditions of biological replication of two RNA sequences. For microarray analysis of IAV patients, the microarray raw data (accession no. GSE101702) were downloaded from GEO, and the XAF1 expression value was obtained using GEO2R. For RNA-seq analysis of the ZIKV patient and the SARS-COV-2 patients, the RNA-seq raw data were from GEO (accession no. GSE123541 and GSE167000, respectively). For VSV- and SeV-infected BMDMs, reads were mapped to the Ensembl GRCm38.p6 reference genome and normalized by the RNA-seq analysis program of CLC Genomics Workbench 12.0 (Qiagen). Fold changes and P-values of genes between groups with different treatments (triplication for each treatment) were calculated by the differential expression program in CLC genomic workbench 12.0 with a trimmed mean M-values (TMM) normalization.
RNA isolation and real-time qRT-PCR.
Total RNA was isolated from cells or lung tissues using TRIzol reagent (ThermoFisher Scientific) according to the manufacturer’s directions. cDNA was synthesized using the PrimeScript RT Master Mix (TaKaRa). TB Green Premix Ex Taq (Tli RNaseH Plus) was used for qRT-PCR amplification on a Roche LightCycler 480 II system. qRT-PCR primer sequences for target genes were listed in Table S1.
DNA pulldown.
Cells were lysed using lysis buffer (50 mM Tris-HCl, pH 7.5, 150 mM NaCl, 1 mM EDTA, and 1% Triton X-100) supplemented with the complete protease inhibitor cocktail. Extracts were incubated overnight with biotinylated DNA probes and then with Pierce streptavidin agarose for 2 h (Production no. 20349, ThermoFisher). Beads were washed, eluted, and then operated according to immunoblot analysis. Biotinylated DNA probe sequences are listed in Table S2.
ELISA and dual-luciferase reporter assay.
The IFN-α and IFN-β in cell supernatant or lung homogenate were measured by mouse IFN alpha ELISA kits and mouse IFN beta ELISA kits (PBL Assay Science) according to manufacturer's instructions, respectively. The promoter-reporter plasmid, renilla luciferase reporter (pRL-TK-Luc) plasmid, and other indicated plasmids were cotransfected into HEK293T cells. At 24 h posttransfection, the cells were lysed by passive lysis buffer, and the luciferase activity of promoter reporters was measured by the dual-luciferase reporter assay system (Promega) according to the manufacturer's instructions.
Pathological examination and immunohistochemistry.
Lung tissues from control or virus-infected mice were collected, fixed in 4% paraformaldehyde in PBS, embedded into paraffin, sectioned at 4 μm, stained by H&E, and evaluated by light microscopy for pathological injury. The degree of lung injury was assessed by a pulmonary pathologist using optical microscopy at ×200 magnification on five random fields. The histological score of lung injury was assessed as described in previous study (59). Briefly, the pulmonary pathologist evaluated lung sections in a randomized and blinded manner to assess the histopathological grade of acute lung injury using the following parameters: interstitial edema, alveolar edema, hemorrhage, cellular infiltration, and hyaline membrane formation. The severity of the slides was graded on a four-point scale, as follows: 0, absent; 1, gentle; 2, moderate; and 3, severe. Neutrophil marker myeloperoxidase (MPO) was detected by immunohistochemistry in mouse lung tissues. Briefly, 4 μm paraffin sections of lung tissues were fixed with xylene, quenched with 3% H2O2, and blocked with goat serum. The sections were treated with anti-MPO primary antibody (ab9535; Abcam) overnight. Then, the slices were incubated with the HRP-conjugated secondary antibody. One hour later, 3,3' diaminobenzidine (DAB) was used as the substrate of peroxidase. The slides were stained with hematoxylin and observed by light microscopy.
Detection of GFP by flow cytometry.
The cells were infected with VSV-GFP or SeV-GFP at the indicated MOI and time points. The infected cells were detached with trypsin (Gibco) at 37°C for 5 min, incubated with DMEM containing 10% FBS, and washed twice in PBS. Then the cells were transferred to PBS containing 8% formaldehyde. After incubating for 20 min at room temperature, the fixed cells were centrifuged at 1,500 g for 5 min, washed once in PBS, and resuspended in 500 μL of PBS. GFP fluorescence was detected by flow cytometry (Life Attune NxT; Thermo Fisher Scientific).
Quantification and statistical analysis.
The number of experiment repetitions is shown in the figure legends. Statistical significance was performed by unpaired two-tailed Student's t test in GraphPad Prism 8 software. The statistical significance of in vivo survival data were plotted as a Kaplan-Meier survival curve and determined by the log-rank (Mantel-Cox) test. Differences were considered statistically significant when P < 0.05.
Data availability.
The raw sequence data generated in this paper have been deposited in the Genome Sequence Archive in National Genomics Data Center, China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences, under accession number CRA004891 (Rhesus monkey PBMC) and CRA004996 (BMDMs) and are publicly accessible at https://ngdc.cncb.ac.cn/gsa.
ACKNOWLEDGMENTS
We thank the excellent technical support from the RNA technology platform of Suzhou Institute of Systems Medicine. We thank Professor Cheng-feng Qin’s laboratory (State Key Laboratory of Pathogen and Biosecurity) for providing the ZIKV GZ01 strain and the PBMC RNA samples from the ZIKV-infected Rhesus monkeys.
This work was supported by the National Key Research and Development Program of China (2018YFA0900803), Natural Science Foundation of Jiangsu Province (BK20200004 and BK20210118), National Natural Science Foundation of China (32170880, 81970004, 81900583, 31870912, 31771560, and 31670883), CAMS Innovation Fund for Medical Sciences (CIFMS2021-I2M-1-047 and CIFMS2021-I2M-1-061), Non-profit Central Research Institute Fund of CAMS (2019PT310028), Suzhou Health Talent Project (GSWS20200099), and People’s Livelihood Project of Suzhou Science and Technology Plan (SYS2020006).
The authors declare no potential conflict of interest.
Footnotes
Supplemental material is available online only.
Contributor Information
Xiulong Xu, Email: xxl@yzu.edu.cn.
Feng Xu, Email: xufeng99@zju.edu.cn.
Feng Ma, Email: maf@ism.pumc.edu.cn.
Mark T. Heise, University of North Carolina at Chapel Hill
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The raw sequence data generated in this paper have been deposited in the Genome Sequence Archive in National Genomics Data Center, China National Center for Bioinformation/Beijing Institute of Genomics, Chinese Academy of Sciences, under accession number CRA004891 (Rhesus monkey PBMC) and CRA004996 (BMDMs) and are publicly accessible at https://ngdc.cncb.ac.cn/gsa.