Skip to main content

Differential lung gene expression changes in C57BL/6 and DBA/2 mice carrying an identical functional Mx1 gene reveals crucial differences in the host response

Abstract

Background

Influenza virus infections represent a major global health problem. The dynamin-like GTPase MX1 is an interferon-dependent antiviral host protein that confers resistance to influenza virus infections. Infection models in mice are an important experimental system to understand the host response and susceptibility to developing severe disease following influenza infections. However, almost all laboratory mouse strains carry a non-functional Mx1 gene whereas humans have a functional MX1 gene. Most studies in mice have been performed with strains carrying a non-functional Mx1 gene. It is therefore very important to investigate the host response in mouse strains with a functional Mx1 gene.

Results

Here, we analyzed the host response to influenza virus infections in two congenic mouse strains carrying the functional Mx1 gene from the A2G strain. B6.A2G-Mx1r/r(B6-Mx1r/r) mice are highly resistant to influenza A virus (IAV) H1N1 infections. On the other hand, D2(B6).A2G-Mx1r/r(D2-Mx1r/r) mice, although carrying a functional Mx1 gene, were highly susceptible, exhibited rapid weight loss, and died. We performed gene expression analysis using RNAseq from infected lungs at days 3 and 5 post-infection (p.i.) of both mouse strains to identify genes and pathways that were differentially expressed between the two mouse strains. The susceptible D2-Mx1r/r mice showed a high viral replication already at day 3 p.i. and exhibited a much higher number of differentially expressed genes (DEGs) and many DEGs had elevated expression levels compared to B6-Mx1r/r mice. On the other hand, some DEGs were specifically up-regulated only in B6-Mx1r/r mice at day 3 p.i., many of which were related to host immune response functions.

Conclusions

From these results, we conclude that at early times of infection, D2-Mx1r/r mice showed a very high and rapid replication of the virus, which resulted in lung damage and a hyperinflammatory response leading to death. We hypothesize that the activation of certain immune response genes was missing and that others, especially Mx1, were expressed at a time in D2-Mx1r/r mice when the virus had already massively spread in the lung and were thus not able anymore to protect them from severe disease. Our study represents an important addition to previously published studies in mouse models and contributes to a better understanding of the molecular pathways and genes that protect against severe influenza disease.

Peer Review reports

Background

Influenza virus infections represent a major global health problem. Severe pandemics caused by zoonotic influenza A virus (IAV) strains that circulate in migratory and wild birds pose a concerning risk, as exemplified by the Spanish flu in 1918 that resulted in about 30 million deaths worldwide [1, 2]. In addition, human-adapted IAV of the H1N1 and H3N2 subtypes cause seasonal epidemic outbreaks with high mortality among elderly and immunocompromised individuals and large economic losses every year [3].

The MX dynamin-like GTPase 1 (MX1) gene is one of the most powerful host restriction factors against viral pathogens in mammals and is induced in response to the expression of type I and III interferons in infected cells and tissues [4,5,6,7,8,9,10]. The stalk domain of MX1 is able to form a ring-like oligomer that is thought to interact directly with intracellular viral ribonucleoproteins (vRNPs) to block viral RNA synthesis, including viral mRNAs and new genomic RNAs [4,5,6,7,8,9,10].

The mouse is an important model system to study the pathophysiology as well as the biological mechanisms and activation of gene regulatory pathways during influenza A infection and disease. However, in contrast to humans, most laboratory mouse strains carry a mutation in the Mx1 gene, which renders it non-functional and limits its comparability to humans [4,5,6,7,8,9,10].

Therefore, it is important to study the host response to influenza A infections in mouse strains that carry a functional Mx1 gene. Here, we utilized two strains, C57BL/6J (B6-Mx1r/r) and DBA/2J (D2-Mx1r/r), that carry the same functional Mx1 gene. Both strains have been generated by back crossing to the A2G strain, making them congenic for the same functional A2G Mx1 allele [11]. Both strains have already been shown to serve as important models for studying influenza A host response and disease in vivo in the context of a functional Mx1 gene (e.g. [12, 13]. C57BL/6J is the most commonly used mouse strain for many biological studies. In addition, the majority of gene knockout studies have been performed on the C57BL/6J genetic background. However, its Mx1 gene is non-functional. C57BL/6J mice carrying the functional Mx1 gene of the A2G mouse strain (B6-Mx1r/r) were shown to be highly resistant to lethal A virus infections [8, 14,15,16,17]. On the other hand, the same functional Mx1 gene in the DBA/2J mouse strain (D2-Mx1r/r) does not confer protection against severe disease after influenza infection [11]. D2-Mx1r/r mice exhibit very high viral loads early after infection as well as a hyper-inflammatory response in the lung, which causes high levels of immune cell infiltration and damage to the lung [11]. Consequently, D2-Mx1r/r mice rapidly lose body weight after infection and die [11]. Intriguingly, pretreatment of D2-Mx1r/r mice with interferon [11] or with defective interfering particles protects D2-Mx1r/r from severe IAV disease [12, 13] and death, most likely because functional MX1 protein is produced before infection, thus inhibiting the rapid spread of virus in the early infection phase. Humans carry a functional MX1 gene but may still experience severe influenza disease. Therefore, D2-Mx1r/r mice carrying a functional Mx1 gene represent an improved in vivo model for investigating the host responses and possible intervention strategies for severe influenza infections and disease in humans.

Here, we performed a transcriptome analysis to study changes in gene expression in the lung after influenza A virus infection in mice with a functional Mx1 gene. B6-Mx1r/r were resistant and survived, D2-Mx1r/r mice were highly susceptible and died. We identified many differentially expressed genes at days 3 and 5 post-infection (p.i.) versus mock-treated controls in both strains, and between the two strains. D2-Mx1r/r mice exhibited a hyperinflammatory response, with many genes more strongly expressed than in B6-Mx1r/r mice, yet some DEGs were specifically up-regulated only in the resistant B6-Mx1r/r mice.

Methods

Aim and design of the study

The aim of the study was to identify differentially expressed genes after infection of B6-Mx1r/r and D2-Mx1r/r mice with influenza A virus compared to mock-treated controls and between the two strains. For this, female mice of both strains were infected with the PR8 influenza A virus, and RNA was isolated from lungs at days 3 and 5 post-infection (p.i.) as well as mock-infected controls and sequenced by next-generation RNA sequencing. Subsequently, levels of gene expression were compared between infected mice and controls and between the two strains and then analyzed by various bioinformatic methods. Five biological replicates (mice) were used per group.

Viruses

PR8 (H1N1) Influenza A virus was propagated and titrated as described [18, 19]. Briefly, embryonated chicken eggs were incubated at 37 °C with 50–70% humidity and rotated regularly. On day 10, eggs were infected with dilutions of viruses (e.g., 10−3, 10−4). The blunt sides of the eggs were disinfected with iodine, a hole was pierced in the eggs, and 200 µl of virus solution was injected. Afterward, the injection side was sealed with glue. Eggs were incubated for 48 h at 37 °C and 50–70% humidity without rotation. After incubation, eggs were stored overnight at 4 °C. For virus harvest, the eggs were opened with a knife and the outer membranes were removed. The fluid was extracted with a pipette into a 15 ml tube and stored on ice. After the collection of the virus, an HA assay was performed to test for active virus. Tubes with active viruses were pooled, aliquoted and stored at -70 °C. Titer of the virus was determined by the focus-forming unit (FFU) assay, which is identical to the plaque-forming unit (PFU) assay, only plaques were identified by antibody staining. The methods have been described previously in detail [18].

Mouse infections

Generation of mice on a C57BL/6 and DBA/2 background carrying a functional Mx1 allele, B6.A2G-Mx1r/r (B6-Mx1r/r) and D2(B6).A2G- Mx1r/r(D2-Mx1r/r) was described previously [11]. Both mouse strains were originally obtained from the Helmholtz Center of Infections Research, Braunschweig, Dept. of Infection Genetics. Consent for using these mouse strains was obtained by the owner (Klaus Schughart, then HZI). Experimental mice were bred and housed at the Laboratory Animal Care Unit (LACU, UTHSC Memphis). Ten to 12-week-old female mice were infected intranasally with 2 × 103 FFU of PR8F virus in 20 µl PBS as described before [18, 20]. Mice were euthanized at the indicated days post infection (p.i.) with an overdose of isoflurane followed by cervical dislocation. Studies were performed with five mice per group.

RNA preparation

Lungs were collected individually, washed in PBS and RNAlater and kept in RNA Later solution overnight at 4 °C and afterward at -70 °C. For RNA isolation, we used the RNeasy Midi kit from Qiagen. Lungs were thawed and transferred into lysing matrix D tubes containing 1 ml lysis buffer for RNA extraction. Then, individual whole lungs were homogenized by the FastPrep-24 Instrument (MP Biomedicals) for 2 × 1 min at 5G. Quality and integrity of total RNA were controlled on the 5200 Fragment Analyzer System (Agilent Technologies). RNA quality was confirmed on a 2100 Bioanalyzer Instrument (Agilent).

RNAsequencing

The RNA sequencing library was generated from 500 ng total RNA using the Dynabeads® mRNA DIRECT™ Micro Purification Kit (Thermo Fisher) for mRNA purification, followed by the NEBNext Ultra™ II Directional RNA Library Prep Kit (New England BioLabs). The libraries were treated with Illumina Free Adapter Blocking and were sequenced on Illumina NovaSeq 6000 using the NovaSeq 6000 S1 Reagent Kit (300 cycles, paired end run 2 × 150 bp) with an average of 7 × 107 reads per RNA sample.

Bioinformatic analysis of RNAseq data

Reads were quality checked with package FastQC (version 0.11.4, http://www.bioinformatics.babraham.ac.uk/projects/fastqc), then trimmed using Trimgalore (version 0.4.4, [21]) with default settings. Trimmed reads were mapped to mouse genome annotation mm11 (ENSMBL Musmusculus.GRCm39 release 104) and the eight virus genome segments of PR8 virus [19] using STAR (version 2.5.2b, [22]) with default settings. Mapped mouse reads were counted using RsubRead (version 1.32.4, [23]). Raw counts of mouse mapped reads were then normalized and log2 transformed using the function rlogTransformation(dds, blind = TRUE) from the DESeq2 package (version 1.16.1, [24]) and an increment was added to the normalized values to make all values positive. Raw counts of virus mapped reads were normalized as counts per million reads (CPM). Principal component analysis (PCA) was then used to visualize variation among and between treatment groups. For the identification of differentially expressed genes (DEGs), the DESeq2 package (version 1.16.1, [24]) with the model DESeqDataSetFromMatrix(countData = countData, colData = coldata, design = ~ group) was used. All six treatment groups, infected B6-Mx1r/rand D2-Mx1r/r mice at days 3 and 5 p.i., and mock-treated B6-Mx1r/rand D2-Mx1r/r controls were included in the model. DEGs were determined by contrasting the groups from the model, based on an adjusted p-value of < 0.05 and exhibiting more than a 2-fold (log2 = 1) difference in expression levels. Multiple testing adjusted p-value were calculated according to Benjamini and Hochberg [25]. Functional analyses of DEGs were performed using the R software package clusterProfiler (version v3.14.3; [26]). Further analysis and visualization of expression data were performed using the R software package [27]. Hallmark gene sets [28] were downloaded from [29] and the mouse mh.all.v2022.1.Mm.symbols.gmt gene list was used for analysis.

Results

Body weight loss and viral gene expression

Female B6-Mx1r/rand D2-Mx1r/r mice (n = 5 per group) were infected with 2 × 103 PFU PR8 influenza A virus or PBS only (mock treatment), and body weight was followed for 5 days p.i. (Fig. 1A). Mock-treated controls of both strains did not lose body weight, B6-Mx1r/r infected mice showed minimal loss of body weight, starting at day 3 p.i., whereas D2-Mx1r/r infected mice exhibited a larger loss of body weight at day 3 p.i., and significantly higher body weight loss on days 4 and 5 p.i., when compared to B6-Mx1r/r infected mice. Please note that mock controls were only followed until day 3 when mice were sacrificed.

Fig. 1
figure 1

Body weight loss and virus replication. Mice were infected with 2 × 103 FFU of mouse-adapted PRF virus. A Body weight was recorded as a percent of the starting weight until mice were sacrificed. The plot shows the mean and +/- 1 SEM of the relative body weight for five biological replicates (mice) per group. B Boxplot of virus gene expression in mock-treated and infected B6-Mx1r/r and D2-Mx1r/r mice at days 3 and 5 p.i. Each box shows the results for one mouse sample. Samples are organized by groups, each sample representing a biological replicate (mouse). The boxes show the range of expression values (mean and 25% and 75% quartiles of CPMs) for all virus segments for this mouse. C Scatter plot representing the relative body weight (percent of starting body weight) for each mouse related to the virus gene expression (log2 of the sum of CPMs from all segments) for this mouse. Each mouse is represented by a point. A strong correlation between relative body weight and virus gene expression was observed. Correlation coefficient: -0.67, p-value: 6 × 10−5

Expression levels of viral genes in lungs of infected mice can be considered a surrogate for infectious viral load [20]. We therefore determined the expression levels of viral genes at days 3 and 5 p.i. (Fig. 1B). At day 3 p.i. much higher viral gene expression was observed in infected D2-Mx1r/r mice compared to B6-Mx1r/r mice. Expression levels decreased in both strains from day 3 to day 5 p.i. but were still much higher in D2-Mx1r/r (Fig. 1B). These results suggest that B6-Mx1r/r B6 mice were able to better control initial viral replication and more rapidly cleared virus from the lung compared to D2-Mx1r/r mice. Furthermore, a strong correlation between gene expression levels of viral genes and body weight loss was observed (Fig. 1C). Only at day 5 p.i., infected D2-Mx1r/r mice showed a high loss of body weight but lower levels of virus gene expression than D2-Mx1r/r mice on day 3 p.i. (Fig. 1C). These results suggest that levels of virus replication in D2-Mx1r/r, especially on day 3 p.i., were strongly related to severity, as indicated by body weight loss. The results of body weight analysis on days 0–5 p.i. reproduced the previously observed resistant and susceptible phenotypes to influenza infection in B6-Mx1r/r and D2-Mx1r/r mice, respectively [11].

Analysis of gene expression changes in infected mice

RNA was isolated from infected mice and mock controls and subjected to next-generation sequencing. A principal component analysis (PCA) of normalized gene expression values was performed to determine the main effects of variation. The first two principal components explained 62% of the total variation (Fig. 2A). PC1 and PC2 showed perfect grouping of replicates within a treatment group. PC1 was related to the effect of infection (versus mock), and PC2 to the effect of strains (B6-Mx1r/r versus D2-Mx1r/r). Expression of Mx1 was strongly up-regulated in both strains at day 3 p.i. after infection, with higher levels in D2-Mx1r/r mice and slightly decreased in both strains at day 5 p.i. (Fig. 2B). Thus, the functional Mx1 allele was also well induced after infection in the susceptible D2-Mx1r/r mouse strain.

Fig. 2
figure 2

PCA, Mx1 gene expression and DEGs overview. A PC1 and PC2 of a principle component analysis of the normalized transcriptome expression values from infected and mock-treated mouse lungs. Each dot represents values from a single mouse. B Boxplot for Mx1 gene expression values in each group of mice. Each dot represents the value of a single mouse. Boxes represent the mean and range (25% and 75% quartiles) of normalized log2 transformed expression values per group. C Numbers of up- and down-regulated DEGs for contrasts between the indicated groups of infected B6-Mx1r/r and D2-Mx1r/r, and mock-treated mice at days 3 and 5 p.i. D Venn diagram illustrating overlap of DEGs from contrasts of infected B6-Mx1r/r and D2-Mx1r/r versus mock controls at day 3 p.i. E Venn diagram illustrating overlap of DEGs from contrasts of infected B6-Mx1r/r and D2-Mx1r/r versus mock controls at day 5 p.i

Differentially expressed genes in infected versus control animals

We then identified differentially expressed genes between infected B6-Mx1r/r mice and B6-Mx1r/r mock controls, between infected D2-Mx1r/r mice and D2-Mx1r/r mock controls, and between B6-Mx1r/r and D2-Mx1r/r mice on days 3 and 5 p.i. Figure 2C shows the number of up- and down-regulated DEGs for all comparisons. Of note, D2-Mx1r/r infected mice exhibited much higher numbers of DEGs, compared to B6-Mx1r/r infected mice at all days p.i., indicating a stronger inflammatory response in D2-Mx1r/r mice. However, there was a large overlap of DEGs between infected B6-Mx1r/r and D2-Mx1r/r versus the respective mock controls; 80% of DEGs in B6-Mx1r/r were also regulated in D2-Mx1r/r at day 3 p.i. (Fig. 2D). This overlap was still very high (70%) at day 5 p.i. (Fig. 2E). These observations indicate that the overall regulation of genes after infection was very similar in both mouse strains. Figure 3A to F show the volcano plots of DEGs for all comparisons, demonstrating high quality of the DEG detection with a good range of log-fold changes and p-values for all comparisons, and a strong host response in the infected samples at all days p.i. The complete lists of DEGs for all comparisons are provided in Supplementary Tables S1, S2, S3, S4, S5 and S6.

Fig. 3
figure 3

Volcano plots of differentially expressed genes (DEGs). A B6-Mx1r/r at day 3 p.i. versus mock-infected B6-Mx1r/r mice. B B6-Mx1r/r at day 5 p.i. versus mock-infected B6-Mx1r/r mice. C D2-Mx1r/r at day 3 p.i. versus mock-infected D2-Mx1r/r mice. D D2-Mx1r/r at day 5 p.i. versus mock-infected D2-Mx1r/r mice. E D2-Mx1r/r at day 3 p.i. versus B6-Mx1r/r at day 3 p.i. infected mice. F D2-Mx1r/r at day 5 p.i. versus B6-Mx1r/r at day 5 p.i. infected mice. Y-axis: -log10 multiple testing adjusted p-values, x-axis: log2 fold change. DEGs are colored red, and the top 20 up- and down-regulated (by log-fold change) DEGs are labeled. Blue: genes with an adjusted p-value < 0.05. Yellow: genes with an absolute log2-fold change > 1. Grey: not significant (NS)

Functional pathway analysis of differentially expressed genes

Next, we performed a functional pathway analysis of DEGs for the above described comparisons. Figure 4A shows a comparison of the top 30 pathways for the up-regulated DEGs from the contrast of infected to mock controls for both strains at days 3 and 5 p.i. Even though D2-Mx1r/r infected mice had a much higher number of DEGs, most pathways for B6-Mx1r/r and D2-Mx1r/r infected mice were identical. These pathways included Response to virus infections, Response to interferon, Regulation of innate immune response, Leukocyte migration, Chemokine-mediated signaling (Fig. 4A). The pathways were all associated with the host’s response to infection. In addition, Nuclear division, Chromosome segregation pathway activation were observed at day 5 p.i. These pathways most likely reflect the proliferation of infiltrating immune cells and the repair of the lung epithelium, which was damaged by virus infection. However, expression of most DEGs was in general stronger for both up- and down-regulated DEGs in D2-Mx1r/r mice compared to B6-Mx1r/r mice at days 3 p.i. (Fig. 4B; expression values of most DEGs in D2-Mx1r/r were above the diagonal for up-regulated genes and below the diagonal for down-regulated genes).

Fig. 4
figure 4

Cluster profiler and heatmaps from pathway analysis of DEGs. A Cluster profiler of EnrichGO pathway analysis for up-regulated DEGs from the contrasts of infected mice versus mock-treated controls. B Scatter plot showing mean differences as log-fold change (LFC) of infected B6-Mx1r/r and D2-Mx1r/r to respective mock treatments for the DEGs from the contrast of B6-Mx1r/r versus mock at day 3 p.i. C Heatmaps of up-regulated DEGs from cluster analysis in A, showing the difference in relative gene expression levels in infected mice versus mock-control mice from four pathways, separately for B6-Mx1r/r and D2-Mx1r/r mice at days 3 and 5 p.i. Values were scaled by row

The heatmaps of expression differences for individual pathways revealed that most genes were higher expressed in the susceptible D2-Mx1r/r mice compared to the resistant B6-Mx1r/r mice. Figure 4C shows the expression levels of DEGs from the four main pathways in Fig. 4A. As examples, we list the top five in each pathway and report their known biological functions. In the Response to virus pathway, the five top-ranked DEGs with higher expression in D2-Mx1r/r on day 3 p.i. compared to B6-Mx1r/r on day 3 and day 5 were: Il12b, Trim30d, Ifi207, Mx2, and Ifi204 (Fig. 4C; Table 1). In the Interferon beta response pathway, the top five annotated DEGs were: Ifnb1, Oas1a, Ifi203, Xaf1, and Tgtp2 (Fig. 4C; Table 1). In the Leukocyte migration pathway, the five top-ranked DEGs were: C3ar1, Ccl1, Thbs1, Serpine1, and Cxcl11 (Fig. 4C; Table 1). In contrast, for Chromosome segregation pathways, most genes were higher expressed in B6-Mx1r/r mice compared to D2-Mx1r/r mice at day 3 p.i.; the top five annotated DEGs were: Cdt1, Ccne1, Psrc1, Fen1, and Eme1 (Fig. 4C; Table 1). In addition, the timing was different from the other pathways, being stronger activated at day 5 p.i. compared to day 3 p.i. Also, down-regulation of inflammatory genes for B6-Mx1r/r from 3 dpi to 5 dpi was clearly evident (Fig. 4C), most likely due to the elimination of replicating viruses (Fig. 1B).

Table 1 List of DEGs identified from analysis of DEGs and their known functions. Information on gene symbols and names from [30], information on gene functions downloaded from [31] and then edited

On the other hand, most important for the activation of the host defense and protection against severe disease are genes that are up-regulated in B6-Mx1r/r, and which may more strongly repress viral replication. We, therefore, looked specifically at genes up-regulated in B6-Mx1r/r compared to D2-Mx1r/r at 3 day p.i. and being regulated after infection in B6-Mx1r/r. In total, we identified 717 DEGs belonging to this category (without counting Rik and Gm annotated genes; listed in Table S7). The individual expression levels per group of the top up-regulated 20 DEGs, by LFC, are shown in Fig. 5, an overview of their relative expression levels in a heatmap is shown in Fig. 6A. Both figures clearly demonstrate lower expression in D2-Mx1r/r at day 3 p.i., which was maintained at day 5 p.i. The main pathways for these DEGs were related to Humoral immune response, Cell recognition, and Complement activation (Fig. 6B). A detailed analysis of DEGs from these pathways identified many Immunoglobulin genes (Fig. 6C). These Ig genes are most likely specific to the B6 haplotype, and thus reads from D2 mice may not be detected in the mapping to the B6 reference genome. As examples for the above DEG pathways genes, we name and discuss the function of the top five genes in each category that were not Ig genes (listed in Table 1). In the Humoral immune response pathway, the top-ranked DEGs with higher expression in B6-Mx1r/r on day 3 p.i. compared to D2-Mx1r/r were: Fcna, and Hc (Fig. 6C; Table 1). In the Cell recognition pathway, the top-ranked DEGs with higher expression in B6-Mx1r/r on day 3 p.i. were: Megf10, Cntn2, Spon2, Sftpd, and Cntn6 (Fig. 6C; Table 1). In the Complement activation pathway, the top-ranked DEGs with higher expression in B6-Mx1r/r on day 3 p.i. were: Spon2, Nts, Fcna, Ccl17, and Pgc (Fig. 6C; Table 1).

Fig. 5
figure 5

Boxplots for top DEGs up-regulated in B6-Mx1r/r. Boxplots are shown for the top 20 DEGs that were up-regulated (by log-fold-change) in infected B6-Mx1r/r compared to infected D2-Mx1r/r at day 3 p.i. and regulated in B6-Mx1r/r compared to B6-Mx1r/r mock controls. Boxes represent the mean and range (25% and 75% quartiles) of normalized log2 transformed expression values per group

Fig. 6
figure 6

Heatmap, EnrichGO analysis and pathway heatmaps for DEGs up-regulated in B6-Mx1r/r. Results are shown for DEGs that were up-regulated in infected B6-Mx1r/r compared to infected D2-Mx1r/r at day 3 p.i. and regulated in B6-Mx1r/r compared to B6-Mx1r/r mock controls. A Heatmap of normalized expression values for the up-regulated DEGs showing the relative gene expression levels in all groups. Values were scaled by row. B Cluster profiler of EnrichGO pathway analysis for DEGs up-regulated in B6-Mx1r/r mice. C Heatmap for relative gene expression levels for infected B6-Mx1r/r and D2-Mx1r/r mice, minus mock-controls, for three pathways in Fig. 6B, separately at days 3 and 5 p.i. Values were scaled by row

Functional pathway analysis of hallmark genes

We then analyzed specific hallmark gene sets [28] of DEGs that were differentially expressed in any comparison of B6-Mx1r/r and D2-Mx1r/r mice to the respective mock controls (Table S8). Hallmark genes for Inflammatory response, Interferon-α response, and Complement were almost all higher expressed in infected D2-Mx1r/r compared to infected B6-Mx1r/r mice at 3 and 5 days p.i. (Figs. 7A-C). In infected B6-Mx1r/r mice, the expression of almost all hallmark genes decreased at day 5 p.i. (Figs. 7A-C). In infected D2-Mx1r/r mice, lower expression was also observed at day 5 p.i. compared to day 3 p.i., but expression was still higher than in B6-Mx1r/r mice.

Fig. 7
figure 7

Hallmark gene analysis for DEGs. DEGs from all contrasts of infected D2-Mx1r/r at day 3 and 5 p.i. versus mock-treated D2-Mx1r/r and from all contrasts of infected B6-Mx1r/r at day 3 and 5 p.i. versus mock-treated B6-Mx1r/r mice were combined (Supplement Table S8) and subjected to hallmark gene analysis. Heatmaps show normalized expression levels (scaled by row) of the means of gene expression levels for B6-Mx1r/r and D2-Mx1r/r mice minus the respective controls. A Heatmap for hallmark ‘Inflammatory Response’ genes. B Heatmap for the hallmark ‘Interferon Alpha’ genes. C Heatmap for hallmark ‘Complement’ genes. Values were scaled by row

Comparison of gene expression profiles in infected Mx1 r/r to Mx1 -/- mice

Previously, we analyzed differences in lung gene expression in IAV-infected B6-Mx1−/− and D2-Mx1−/− mice that were Mx1-deficient [20]. Therefore, we compared these responses to responses in mice with a functional Mx1 gene from this study. Here, we used the ‘standard’ PR8 virus (also referred to PR8F in our previous studies), which is commonly used by other laboratories [11]. This virus is lethal for B6-Mx1−/− mice at an infection dose of 103 FFU and for D2-Mx1−/− mice at an infection dose of 10 FFU or lower [11]. For B6-Mx1r/r mice, infection with this virus is not lethal at an infection dose of 103 FFU [11]. Our previous analyses of Mx1-deficient infected mouse strains B6-Mx1−/− and D2-Mx1−/− used a much less virulent virus, PR8M [19, 32]. B6-Mx1−/− mice survive an infection with a dose of 103 FFU PR8M whereas D2-Mx1−/− mice succumb to the infection [19, 32]. We and others described both viruses in much detail in earlier studies [19, 33]. Furthermore, the analyses with Mx1-deficient mice were performed using a different sequencing platform, Ion Torrent [20]. These conditions make it impossible to compare DEGs directly. However, some general trends could be observed, as described below.

Most remarkably, the kinetics of virus replication and the number of DEGs was very different in B6-Mx1−/− and D2-Mx1−/− mice compared to B6-Mx1r/r and D2-Mx1r/r mice. In Mx1-deficient mice, viral gene expression in B6-Mx1−/− was still high at day 3 p.i., whereas it decreased in B6-Mx1r/r mice between day 3 and 5 p.i. (compare Fig. 1B with 8A). Also, Mx1 transcripts were up-regulated after infection with expression kinetics resembling the ones observed for Mx1r/r mice (compare Figs. 2B, 3, 4, 5, 6, 7 and 8B). Only in B6-Mx1r/r mice, expression at day 5 p.i. was lower compared to day 3 p.i. whereas in B6-Mx1−/− mice, expression was higher at day 5 p.i. than on day 3 p.i. Furthermore, the number of DEGs increased from day 3 to day 5 p.i. (Fig. 8A) in both B6-Mx1−/− and D2-Mx1−/−, whereas in B6-Mx1r/r and D2-Mx1r/r mice, the numbers of DEGs decreased (compare Figs. 2C, 3, 4, 5, 6, 7 and 8C). Expression of hallmark genes was still high in B6-Mx1−/− mice at day 5 p.i. compared to day 3 p.i. (Figs. 9A-C) whereas in B6-Mx1r/r mice, they decreased from day 3 to day 5 p.i. (compare Figs. 7A-C, 8 and 9A-C). In D2-Mx1−/− mice, the Interferon alpha response was still high at day 5 p.i. compared to day 3 p.i. (Fig. 9B) and did not decrease as in D2-Mx1r/r mice (Fig. 7B). Complement activation hallmark genes were higher at day 5 p.i. than day 3 p.i. in D2-Mx1−/− mice (Fig. 9C) whereas in D2-Mx1r/r mice, the expression levels decreased from day 3 to day 5 p.i. (Fig. 7C).

Fig. 8
figure 8

Virus replication and hallmark genes in Mx1-deficient mice. A Boxplot of virus gene expression in mock-treated and infected B6-Mx1r/r and D2-Mx1r/r mice at days 3 and 5 p.i. Each box shows the results for one mouse sample. Samples are organized by groups, each sample representing a biological replicate (mouse). The boxes show the range of expression values (mean and 25% and 75% quartiles of CPMs) for all virus segments for this mouse. Note that because of some host reads mapping to virus genes and subsequent normalization, virus signals in mock-treated mice are not zero but at background levels. B Boxplot for Mx1 gene expression values in each group of Mx1-deficient mice. Each dot represents the value from a single mouse. Boxes represent the mean and range (25% and 75% quartiles) of normalized log2 transformed expression values per group. C Numbers of up- and down-regulated DEGs for contrasts between the indicated groups of infected B6-Mx1−/− and D2-Mx1−/− and mock-treated mice at days 3 and 5 p.i

Fig. 9
figure 9

Hallmark gene analysis for DEGs. Heatmaps show normalized expression levels of the means of gene expression levels (scaled by row) for B6-Mx1−/− and D2-Mx1−/− mice minus the respective controls for all DEGs (Supplement table S7). A Heatmap for hallmark ‘Inflammatory Response’ genes. B Heatmap for the hallmark ‘Interferon Alpha’ genes. C Heatmap for hallmark ‘Complement’ genes. Values were scaled by row

Discussion

Here, we report on a detailed analysis of gene expression changes in the lungs of B6-Mx1r/r and D2-Mx1r/r mice, which carry the same functional Mx1 gene derived from A2G mice. B6-Mx1r/r were highly resistant and survived an infection, whereas D2-Mx1r/r were highly susceptible and died.

Even though D2-Mx1r/r infected mice activated a much higher number of DEGs, most pathways for B6-Mx1r/r and D2-Mx1r/r infected mice were identical. These findings suggest that gene expression profiles in both mouse models were mainly directed by the infection and not directly associated with the presence of a functional Mx1 gene. However, virus replication was strongly suppressed in B6-Mx1r/r mice. Thus, the presence or absence of a functional Mx1 gene does not seem to have an effect on the overall gene expression profiles, but rather directly affects viral replication. Many DEGs were identified in the comparison of infected B6-Mx1r/r versus their mock controls and infected D2-Mx1r/r versus their mock controls, as well as in the contrast of infected B6-Mx1r/r versus infected D2-Mx1r/r mice. In general, D2-Mx1r/r infected mice showed much higher numbers of DEGs, compared to B6-Mx1r/r infected mice. Similar observations were made for selected hallmark genes. These general differences were most likely due to the higher viral loads causing a stronger activation of host response genes in D2-Mx1r/r mice.

Most important for understanding resistance in B6-Mx1r/r mice are genes that are up-regulated in B6-Mx1r/r but not or to a lesser extent in D2-Mx1r/r. Our analysis identified many DEGs in various analyses (a summarized selection is shown in Table 1) that may play an important role in the host defense and/or explain the difference in susceptibility to IAV in B6-Mx1r/r versus D2-Mx1r/r mice. We describe the known function of these genes in Table 1 (using information from [30] and [31]). Almost all these genes play an important role in the host response against microbial infections or damage repair after infection.

In particular, genes from the humoral immune response were activated in B6-Mx1r/r but not in D2-Mx1r/r mice early after infection. These findings suggest that in D2-Mx1r/r mice, although a high inflammatory response was generated, some arms of the host immune response were not properly functioning. This defect may already exist before the infection event, and all observed differences and defects that we observe are secondary to the initial defect. Of note, many of these DEGs showed already low or no expression in D2-Mx1r/r compared to B6-Mx1r/r at baseline in mock-treated mice (Fig. 5). Alternatively, very early responses are compromised, which allowed high virus replication early after infection. The finding that alveolar macrophages showed a dysfunctional phenotype in D2 mice supports the hypothesis of a pre-infection defect [34].

The function of genes that were expressed higher in B6-Mx1r/r may explain the stronger resistance of B6-Mx1r/r mice to infections with influenza A virus. However, a large overlap of activated DEGs was observed between B6-Mx1r/r and D2-Mx1r/r. This observation suggest that the cause for the high susceptibility of D2 mice was most likely not due to a single gene but represents a complex trait with multi-genic effects. We and others have shown in quantitative trait mapping studies using BXD genetic reference populations that the stronger resistance of B6-Mx1−/− compared to D2-Mx1−/− mice was not due to a single gene but most likely linked to the function of many gene loci [35, 36]. In line with this finding, the ATPase SMARCA2, which is a component of the SWI/SNF chromatin remodeling complex and a co-transcriptional regulator of many ISGs, was identified as a cofactor for human MX1-mediated antiviral activity against IAV. However, this was not due to a direct effect on the MX1 protein, but rather by regulating gene expression of important viral restriction factors such as IFITM2 or IGFBP3 that may work in concert with MX1 [37].

Of note, the expression kinetics of Mx1 transcripts themselves in Mx1-deficient mice and Mx1r/r mice for both strains were very similar, indicating that in Mx1-deficient mice, regulation of the gene was not impaired. Only in B6-Mx1r/r mice, expression at day 5 p.i. was lower compared to day 3 p.i. whereas in B6-Mx1−/− mice, expression was higher at day 5 p.i. than on day 3 p.i. These observations are in line with the effective reduction of viral load in B6-Mx1r/r mice from day 3 to 5 p.i.

We also compared the results from this study to gene expression changes in Mx1-deficient mice, which were published previously [20]. In Mx1-deficient B6-Mx1−/− and D2-Mx1−/− mice, the number of DEGs was much higher at day 5 compared to day 3 p.i. whereas in B6-Mx1r/r and D2-Mx1r/r mice, the number of DEGs at day 5 was lower than at day 3. These results suggest that in both mouse strains, carrying a functional Mx1, virus replication was repressed more efficiently than in Mx1-deficient mice. However, this did not rescue D2-Mx1r/r mice from death, most likely because lung damage caused by early high virus replication and spread, and immunopathology was already too advanced and could not be reversed.

From all the above results on viral loads and expression of DEGs, we conclude that the high susceptibility in D2-Mx1r/r mice was most likely due to a combination of a high viral load, leading to lung tissue damage, and the hyper-inflammatory immunopathology caused by a strong anti-inflammatory reaction of the innate immune system. This hypothesis is further supported by our previous studies showing higher chemokine/cytokine secretion and viral loads in the infected lungs of D2-Mx1r/r mice [11].

During very early time points, expression of interferons and their response genes is suppressed in virus-infected cells by viral genes, and virus replication increases exponentially [38]. Infected cells secrete interferons which induced an anti-viral response in non-infected genes. Thus, expression of a functional Mx1 is activated at a time when the virus has already massively spread in the lungs of D2-Mx1r/r mice and is not able to substantially limit lung damage caused by the early virus spreading.

D2-Mx1r/r mice can be rescued by a pre-infection treatment with interferons [11] or by treatment with defective interfering particles [13]. These observations showed that Mx1 is fully functional in D2-Mx1r/r mice, and when activated prior to infection, it is able to suppress early virus replication and prevent death. One reason for the higher and more rapid early virus replication in D2 mice may be a dysfunction of alveolar macrophages and an increased permissiveness of respiratory cells to virus infection [34].

Phenotypic and molecular analyses in some mouse strains that are wild-derived, and which carry a function Mx1 gene have been described. In general, mice carrying a functional Mx1 gene strongly suppress viral replication, whereas mice with a non-functional Mx1 gene carry higher viral loads [39, 40]. The exceptions are D2-Mx1r/r [11] and CAST/EiJ mouse strains [39, 40]. In these strains, the duration and high magnitude of the expression of host inflammatory genes strongly correlates with viral loads [40,41,42,43], supporting the hypothesis that the destruction of lung tissue by high virus replication and spread, and the strong hyperinflammatory response lead to morbidity and mortality in these susceptible mouse strains.

Our study has some limitations. We identified many genes that may play an important role in explaining the difference between susceptible and resistant mice. However, future experimental studies will be necessary to actually demonstrate such a function during influenza or viral infections. For example, DEGs between B6-Mx1r/r and D2-Mx1r/r could be functionally tested in B6-Mx1r/r mouse knock-out mutants for reproducing a D2-Mx1r/r susceptible phenotype. Also, our studies have been performed in the mouse model, and their importance for human infections will have to be demonstrated in human cell culture, organoids, lung tissue cultures or genome wide association studies. Nevertheless, we identified highly valuable candidates that would merit such analyses in the human system. Also, D2-Mx1r/r mice at day 5 p.i. were highly moribund, most likely due to the destruction of lung tissue, which resulted in massive cell death, compromising further virus replication. Therefore, expression of genes may be reduced in general because of the high destruction of lung tissue. We thus concentrated our study on the earlier stages, at day 3 p.i. by trying to identify important genes in B6-Mx1r/r that may explain its resistance compared to highly susceptible D2-Mx1r/r mice. Furthermore, we compared our results in Mx1 mice with findings from Mx1-deficient mice, and we observed some general trends that were different. However, Mx1-deficient mice were infected with a much less virulent virus, and expression analysis used a different next-generation sequencing platform [20] which makes a direct comparison difficult.

Conclusions

In this study, we performed a detailed transcriptome analysis in the lungs of B6-Mx1r/r and D2-Mx1r/r mice carrying a functional Mx1 gene after infection with the influenza A virus. B6-Mx1r/r were highly resistant to virus infections, they lost little weight and survived, whereas D2-Mx1r/r mice were highly susceptible, losing weight rapidly and dying. We identified many differentially expressed genes in D2-Mx1r/r compared to B6-Mx1r/r mice at days 3 and 5 p.i. However, the overall activation of host response pathways was similar in both strains. Thus, the presence or absence of a functional Mx1 gene did not seem to have an effect on the overall gene expression profiles. We identified many DEGs that showed higher expression levels in B6-Mx1r/r compared to D2-Mx1r/r mice. These genes may be involved in resistance to influenza infections.

We hypothesize that the activation of certain immune response genes was missing and that others, especially Mx1, were expressed at a time in D2-Mx1r/r mice virus had already massively spread in the lung and were thus not able to protect them from severe disease.

Availability of data and materials

The raw data and normalized gene expression levels are available at the GEO expression database [44, 45]. ID: GSE252374.

References

  1. Taubenberger JK, Morens DM. The pathology of influenza virus infections. Annu Rev Pathol. 2008;3:499–522.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Jackson ML, Starita L, Kiniry E, Phillips CH, Wellwood S, Cho S, et al. Incidence of medically attended acute respiratory illnesses due to respiratory viruses across the life course during the 2018/19 influenza season. Clin Infect Dis. 2021;73:802.

    Article  PubMed  Google Scholar 

  3. Iuliano AD, Roguski KM, Chang HH, Muscatello DJ, Palekar R, Tempia S, et al. Estimates of global seasonal influenza-associated respiratory mortality: a modelling study. Lancet. 2018;391(10127):1285–300.

    Article  PubMed  Google Scholar 

  4. Haller O, Arnheiter H, Pavlovic J, Staeheli P. The discovery of the antiviral resistance gene Mx: a story of great ideas, great failures, and some success. Annual Rev Virol. 2018;5(1):33–51.

    Article  CAS  Google Scholar 

  5. Haller O, Staeheli P, Schwemmle M, Kochs G. Mx GTPases: dynamin-like antiviral machines of innate immunity. Trends Microbiol. 2015;23(3):154–63.

    Article  CAS  PubMed  Google Scholar 

  6. Haller O, Weber F. The interferon response circuit in antiviral host defense. Verh K Acad Geneeskd Belg. 2009;71(1–2):73–86.

    CAS  PubMed  Google Scholar 

  7. Haller O, Staeheli P, Kochs G. Protective role of interferon-induced Mx GTPases against influenza viruses. Rev Sci Tech. 2009;28(1):219–31.

    Article  CAS  PubMed  Google Scholar 

  8. Tumpey TM, Szretter KJ, Van Hoeven N, Katz JM, Kochs G, Haller O, et al. The Mx1 gene protects mice against the pandemic 1918 and highly lethal human H5N1 influenza viruses. J Virol. 2007;81(19):10818–21.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Haller O, Staeheli P, Kochs G. Interferon-induced Mx proteins in antiviral host defense. Biochimie. 2007;89(6–7):812–8.

    Article  CAS  PubMed  Google Scholar 

  10. Haller O, Kochs G, Weber F. The interferon response circuit: induction and suppression by pathogenic viruses. Virology. 2006;344(1):119–30.

    Article  CAS  PubMed  Google Scholar 

  11. Shin DL, Hatesuer B, Bergmann S, Nedelko T, Schughart K. Protection from severe influenza virus infections in mice carrying the Mx1 influenza virus resistance gene strongly depends on genetic background. J Virol. 2015;89(19):9998–10009.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Hein MD, Kollmus H, Marichal-Gallardo P, Püttker S, Benndorf D, Genzel Y, et al. OP7, a novel influenza a virus defective interfering particle: production, purification, and animal experiments demonstrating antiviral potential. Appl Microbiol Biotechnol. 2021;105(1):129–46.

    Article  CAS  PubMed  Google Scholar 

  13. Hein MD, Arora P, Marichal-Gallardo P, Winkler M, Genzel Y, Pöhlmann S, et al. Cell culture-based production and in vivo characterization of purely clonal defective interfering influenza virus particles. BMC Biol. 2021;19(1):91.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Cilloniz C, Pantin-Jackwood MJ, Ni C, Carter VS, Korth MJ, Swayne DE, et al. Molecular signatures associated with Mx1-mediated resistance to highly pathogenic influenza virus infection: mechanisms of survival. J Virol. 2012;86(5):2437–46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Hodgson NR, Bohnet SG, Majde JA, Krueger JM. Influenza virus pathophysiology and brain invasion in mice with functional and dysfunctional Mx1 genes. Brain Behav Immun. 2012;26:83–9.

  16. Moritoh K, Yamauchi H, Asano A, Yoshii K, Kariwa H, Takashima I, et al. Generation of congenic mouse strains by introducing the virus-resistant genes, Mx1 and Oas1b, of feral mouse-derived inbred strain MSM/Ms into the common strain C57BL/6J. Jpn J Vet Res. 2009;57(2):89–99.

    PubMed  Google Scholar 

  17. Grimm D, Staeheli P, Hufbauer M, Koerner I, Martínez-Sobrido L, Solorzano A, et al. Replication fitness determines high virulence of influenza a virus in mice carrying functional Mx1 resistance gene. PNAS. 2007;104(16):6806–11.

    Article  CAS  PubMed  PubMed Central  ADS  Google Scholar 

  18. Wilk E, Schughart K. The mouse as model system to study host-pathogen interactions in influenza A infections. Curr Protoc Mouse Biol. 2012;2:177–205.

    Article  PubMed  Google Scholar 

  19. Blazejewska P, Koscinski L, Viegas N, Anhlan D, Ludwig S, Schughart K. Pathogenicity of different PR8 influenza a virus variants in mice is determined by both viral and host factors. Virology. 2011;412(1):36–45.

    Article  CAS  PubMed  Google Scholar 

  20. Wilk E, Pandey AK, Leist SR, Hatesuer B, Preusse M, Pommerenke C, et al. RNAseq expression analysis of resistant and susceptible mice after influenza a virus infection identifies novel genes associated with virus replication and important for host resistance to infection. BMC Genomics. 2015;16:655.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Trimgalore. https://www.bioinformatics.babraham.ac.uk/projects/trim_galore/.

  22. Dobin A, Gingeras TR. Mapping RNA-seq reads with STAR. Curr Protocols Bioinf. 2015;51:11 .4.1-9.

    Article  Google Scholar 

  23. Liao Y, Smyth GK, Shi W. The R package rsubread is easier, faster, cheaper and better for alignment and quantification of RNA sequencing reads. Nucleic Acids Res. 2019;47(8):e47.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Love MI, Huber W, Anders S. Moderated estimation of Fold change and dispersion for RNA-seq data with DESeq2. Genome Biol. 2014;15(12):550.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful apporach to multiple testing. J Roy Stat Soc. 1995;57:289–300.

    Google Scholar 

  26. Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. OMICS. 2012;16(5):284–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  27. R_Core_Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. 2014. http://www.R-project.org/.

  28. Liberzon A, Birger C, Thorvaldsdóttir H, Ghandi M, Mesirov JP, Tamayo P. The Molecular signatures database (MSigDB) hallmark gene set collection. Cell Syst. 2015;1(6):417–25.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Hallmark_genes_mouse. Hallmark genes mouse. https://data.broadinstitute.org/gsea-msigdb/msigdb/release/20221Mm/.

  30. MGI. Mouse Genome Informatics. https://www.informaticsjax.org/.

  31. Alliance_of_Genome_Resources. Alliance of Genome Resources. https://www.alliancegenome.org/.

  32. Srivastava B, Blazejewska P, Hessmann M, Bruder D, Geffers R, Mauel S, et al. Host genetic background strongly influences the response to influenza a virus infections. PLoS ONE. 2009;4(3):e4857.

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  33. Liedmann S, Hrincius ER, Anhlan D, McCullers JA, Ludwig S, Ehrhardt C. New virulence determinants contribute to the enhanced immune response and reduced virulence of an influenza a virus A/PR8/34 variant. J Infect Dis. 2014;209(4):532–41.

    Article  CAS  PubMed  Google Scholar 

  34. Casanova T, Van de Paar E, Desmecht D, Garigliany MM. Hyporeactivity of alveolar macrophages and higher respiratory cell Permissivity characterize DBA/2J mice infected by Influenza A Virus. J Interferon Cytokine Res. 2015;35:808.

    Article  CAS  PubMed  Google Scholar 

  35. Boon AC, Williams RW, Sinasac DS, Webby RJ. A novel genetic locus linked to pro-inflammatory cytokines after virulent H5N1 virus infection in mice. BMC Genomics. 2014;15: 1017.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Nedelko T, Kollmus H, Klawonn F, Spijker S, Lu L, Hessman M, et al. Distinct gene loci control the host response to influenza H1N1 virus infection in a time-dependent manner. BMC Genomics. 2012;13:411.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  37. Dornfeld D, Dudek AH, Vausselin T, Günther SC, Hultquist JF, Giese S, et al. SMARCA2-regulated host cell factors are required for MxA restriction of influenza A viruses. Sci Rep. 2018;8(1):2092.

    Article  PubMed  PubMed Central  ADS  Google Scholar 

  38. Smith AP, Moquin DJ, Bernhauerova V, Smith AM. Influenza virus infection model with density dependence supports biphasic viral decay. Front Microbiol. 2018;9: 1554.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Leist SR, Pilzner C, van den Brand JM, Dengler L, Geffers R, Kuiken T, et al. Influenza H3N2 infection of the collaborative cross founder strains reveals highly divergent host responses and identifies a unique phenotype in CAST/EiJ mice. BMC Genomics. 2016;17(1):143.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Ferris MT, Aylor DL, Bottomly D, Whitmore AC, Aicher LD, Bell TA, et al. Modeling host genetic regulation of influenza pathogenesis in the collaborative cross. PLoS Pathog. 2013;9(2): e1003196.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Kollmus H, Pilzner C, Leist SR, Heise M, Geffers R, Schughart K. Of mice and men: the host response to influenza virus infection. Mamm Genome. 2018;29(7–8):446–70.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Bottomly D, Ferris MT, Aicher LD, Rosenzweig E, Whitmore A, Aylor DL, et al. Expression quantitative trait Loci for extreme host response to influenza a in pre-collaborative cross mice. G3 (Bethesda). 2012;2(2):213–21.

    Article  PubMed  Google Scholar 

  43. Alberts R, Srivastava B, Wu H, Viegas N, Geffers R, Klawonn F, et al. Gene expression changes in the host response between resistant and susceptible inbred mouse strains after influenza A infection. Microbes Infect. 2010;12(4):309–18.

    Article  CAS  PubMed  Google Scholar 

  44. Barrett T, Wilhite SE, Ledoux P, Evangelista C, Kim IF, Tomashevsky M, et al. NCBI GEO: archive for functional genomics data sets–update. Nucleic Acids Res. 2013;41(Database issue):D991-995.

    CAS  PubMed  Google Scholar 

  45. Edgar R, Domrachev M, Lash AE. Gene expression Omnibus: NCBI gene expression and hybridization array data repository. Nucleic Acids Res. 2002;30(1):207–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank the Molecular Resource Center (MRC, UTHSC Memphis) for QC of RNA samples, the RG Genome Analytics (HZI Braunschweig) for RNA sequencing, the Laboratory Animal Care Unit (LACU, UTHSC Memphis) for providing mouse breeding and husbandry facilities, and the Regional Biocontainment Laboratory (RBL, UTHSC Memphis) for providing infection facilities. We acknowledge support from the Open Access Publication Fund of the University of Muenster. We thank Sarah Leist for critical comments to the manuscript. We thank the reviewers for their highly valuable and constructive comments.

Funding

Open Access funding enabled and organized by Projekt DEAL. This study was supported by intra-mural grants from the Helmholtz-Association (Program Infection and Immunity), a start-up grant from UTHSC, and NIAID Research Grants 2-U19-AI100625-06 REVISED and 5U19A|100625-07 awarded to KS.

Author information

Authors and Affiliations

Authors

Contributions

Conception, design, and funding acquisition: KS; experiments: SB, analysis of data: SB and KS; writing of manuscript: SB, LB and KS. All authors reviewed the manuscript.

Corresponding author

Correspondence to Klaus Schughart.

Ethics declarations

Ethics approval and consent to participate

All experiments with mice were approved by the local IACUC (UTHSC, Memphis), approval no: 13-153-0.

Consent for publication

Not applicable.

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s Note

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

Supplementary Information

Additional file 1. 

Description of data: list of DEGs from comparison of infected B6-Mx1r/r at day 3 p.i. versus B6-Mx1r/r mock controls.

Additional file 2. 

Description of data: list of DEGs from comparison of infected B6-Mx1r/r at day 5 p.i. versus B6-Mx1r/r mock controls at day 5 p.i.

Additional file 3. 

Description of data: list of DEGs from comparison of infected D2-Mx1r/r at day 3 p.i. versus D2-Mx1r/r mock controls.

Additional file 4. 

Description of data: list of DEGs from comparison of infected D2-Mx1r/r at day 5 p.i. versus D2-Mx1r/r mock controls.

Additional file 5. 

 Description of data: list of DEGs from comparison of infected D2-Mx1r/r versus B6-Mx1r/r at day 3 p.i.

Additional file 6. 

Description of data: list of DEGs from comparison of infected D2-Mx1r/r versus B6-Mx1r/r at day 3 p.i.

Additional file 7. 

Description of data: DEGs up-regulated in B6-Mx1r/r and regulated in infected B6-Mx1r/r at day 3 p.i. (all DEGs in B6-Mx1r/r versus mock controls).

Additional file 8. 

Description of data: combined list of all DEGs from comparison of infected D2-Mx1r/r and B6-Mx1r/r mice day 3 and 5 p.i. versus controls.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Bergmann, S., Brunotte, L. & Schughart, K. Differential lung gene expression changes in C57BL/6 and DBA/2 mice carrying an identical functional Mx1 gene reveals crucial differences in the host response. BMC Genom Data 25, 19 (2024). https://0-doi-org.brum.beds.ac.uk/10.1186/s12863-024-01203-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://0-doi-org.brum.beds.ac.uk/10.1186/s12863-024-01203-3

Keywords