Abstract African swine fever virus (ASFV), causing an OIE-notifiable viral disease of swine, is spreading over the Eurasian continent and threatening the global pig industry. Here, we conducted the first proteome analysis of ASFV-infected primary porcine monocyte-derived macrophages (moMΦ). In parallel to moMΦ isolated from different pigs, the stable porcine cell line WSL-R was infected with a recombinant of ASFV genotype IX strain “Kenya1033”. The outcome of the infections was compared via quantitative mass spectrometry (MS)-based proteome analysis. Major differences with respect to the expression of viral proteins or the host cell response were not observed. However, cell-specific expression of some individual viral proteins did occur. The observed modulations of the host proteome were mainly related to cell characteristics and function. Overall, we conclude that both infection models are suitable for use in the study of ASFV infection in vitro. Keywords: African swine fever virus, proteome, primary cell culture, mass spectrometry 1. Introduction African swine fever virus (ASFV, family Asfarviridae) is a highly virulent virus that infects swine (family Suidae) for which, currently, neither a vaccine nor a treatment is available. Its double-stranded DNA-genome contains more than 150 open reading frames (ORFs). However, for many of them, information regarding functions and interactions is still limited. For roughly one third of the ASFV ORFeome, no information about the expression of a corresponding protein in mammalian cells is available [[36]1]. This knowledge gap, which is partially due to the lack of appropriate immunologic reagents, has been partially filled by the application of MS-based proteomics using infected stable cell cultures [[37]2,[38]3] but expression data are still missing for ASFV-infected macrophages, the natural target cell of ASFV. The genome of ASFV isolates is quite variable. While homologs of a core set of conserved viral genes encoding for viral structural proteins or proteins involved in virion morphogenesis can be found in all 24 genotypes currently defined, the composition of a genome can vary with respect to the presence or absence of other genes [[39]4]; among them are sets of paralogous genes known as multi gene families (MGFs). MGF proteins have been described as virulence factors, host range determinants or modulators of host response to infection [[40]5,[41]6,[42]7,[43]8]. Like other viruses, ASFV is known to evade the antiviral response by modulating immune-related pathways, such as NFκB-mediated signaling or the interferon response. The viral proteins directly involved in immune evasion are only known for some of these pathways (reviewed in [[44]9]). Macrophages, the primary target cells of ASFV [[45]10], are phagocytic cells belonging to the myeloid lineage that differentiate from monocytes in response to growth factors such as granulocyte-monocyte colony-stimulating factor (GM-CSF) [[46]11,[47]12]. As professional antigen-presenting cells, macrophages express swine leukocyte antigens (SLAs) I and II, homologues of human major histocompatibility complexes I and II, on their surface. This complex is formed by SLA-DR and SLA-DQ proteins, both consisting of alpha and beta chains encoded by SLA-DRA and SLA-DRB or by SLA-DQ1 and SLA-DQB genes, respectively [[48]13]. Apart from SLA complexes, swine macrophages are characterized by the expression of specific clusters of differentiation (CD) proteins such as CD14, CD172a (SWC3), CD68 and the scavenger receptor CD163 [[49]11,[50]14]. Many studies about ASFV replication and host interactions have been performed using established cell culture models, such as Vero cells infected with cell culture adapted viruses such as BA71V [[51]15]. In this way, some pitfalls that come with the use of primary cell cultures in infection experiments (animal health issues, higher variability) can be avoided, but presumably at the cost of a more artificial infection model. While the transcriptomes of ASFV-infected cell lines [[52]16] or primary macrophages have been studied in vitro [[53]16,[54]17] and in vivo [[55]18], proteome studies of ASFV-infected cells [[56]2] or ASFV particles [[57]3,[58]19] using shotgun MS platforms are rare [[59]20]. A recent proteome study with ASFV-infected porcine alveolar macrophages (PAMs) noted a differential regulation of host proteins involved in immune processes and defense responses [[60]21]. Older studies of the ASFV proteome using 2D electrophoresis, optionally combined with MALDI-TOF MS, identified a limited number of proteins that were influenced by the infection, among them heat shock proteins, redox-related proteins, and nucleoside diphosphate kinases [[61]22,[62]23,[63]24,[64]25,[65]26,[66]27,[67]28]. Here, we conducted the first MS-based quantitative proteome analysis of in vitro ASFV-infected primary porcine monocyte-derived macrophages. For comparison, the stable wild-boar-derived cell line WSL-R [[68]29], which is commonly used for in vitro infection experiments with ASFV, was analyzed in parallel to monitor any differences in the expression patterns of ASFV proteins in primary cells and a stable cell line. The modulation of the host proteome after infection was also monitored via MS analysis and compared between the two cell types using biostatistical means. ASFV-Kenya1033 was isolated from domestic pigs in western Kenya as a virulent genotype IX strain (L. Steinaa & R. Bishop, personal communication). For this study, the recombinant ASFV-Kenya1033-ΔCD2v-dsRed was chosen for its proven ability to replicate well in both WSL-R cells [[69]30] and macrophages [[70]31], which is prerequisite for a proteome analysis focusing on the cell-specific expression of viral and host genes after infection with ASFV. 2. Materials and Methods 2.1. Safety Statement All ASFV-infection experiments were carried out in a biocontainment facility fulfilling the safety requirements for ASF laboratories and animal facilities (Commission Decision 2003/422/EC, Chapter VIII). 2.2. Cells and Viruses The wild boar lung-derived cell line WSL-R (hereafter ‘WSL’ cells) [[71]29], obtained from the Biobank of the FLI (CCLV-RIE #0379), was cultured in Iscove′s modified Dulbecco’s medium mixed with Ham’s F-12 nutrient mix (1:1; v/v) supplemented with 10% fetal bovine serum (FBS) (during cultivation) or 5% FBS (after inoculation). Virus stock of ASFV-Kenya1033-ΔCD2v-dsRed [[72]30] was grown on WSL cells. Titers were determined on WSL cells and peripheral blood monocytic cells (PBMCs) as TCID[50]/mL [[73]32]. ASFV-Kenya1033-ΔCD2v-dsRed, derived from highly pathogenic genotype IX isolate ASFV-Kenya1033 (isolated February 2013), expressed dsRed as a fluorescent reporter under the late p72 promotor in the CD2v locus. The generation and partial characterization of the recombinant has been described elsewhere [[74]30]. Both viruses replicate well in WSL cells, but titers of the recombinant are slightly reduced in comparison to the parental virus. 2.3. Isolation and Cultivation of Porcine Macrophages Blood was drawn from 6- to 12-month-old female domestic pigs kept at the FLI animal facility (permission: LALLF-Nr. 7221.3-2-041/17). PBMCs were obtained using Pancoll animal density gradient medium (PanBiotech, Aidenbach, Germany) with a density of 1.077 g/mL, in accordance with the manufacturer’s recommendations. For the magnetic cell separation of CD172a^+ PBMCs, anti-mouse IgG1 magnetic particles (BD Biosciences, Franklin Lakes, NJ, USA) in combination with α-SWC3 hybridome supernatant (clone 74-22-15) were used according to established procedures. CD172a^+ PBMCs were cultured in Primaria^TM cell culture dishes (Corning, New York, NY, USA) with PC-1^TM Medium (Lonza, Basel, Switzerland) containing 1% penicillin/streptomycin solution (v/v, ThermoFisher Scientific, Waltham, MN, USA). Cells were incubated at 37 °C and 2.5% CO[2]. Differentiation into mature moMΦ was induced using a modified protocol based on Carlson et al., 2016 [[75]33] and Carlson et al., 2020 [[76]31]. Briefly, one day after isolation, cells were washed three times with PBS before treatment with 5 ng/mL GM-CSF (KingFisher Biotech, Saint Paul, USA, #RP0940S) applied in fresh culture medium. 2.4. Phenotypic Characterization of Monocyte Derived Macrophages For fluorescence analysis, moMΦ were grown on glass cover slides and infected with ASFV-Kenya1033-ΔCD2v-dsRed 24 h post differentiation using a MOI of 2. At 6 or 18 hpi, moMΦ were fixed in 3.75% (v/v) formaldehyde in PBS, permeabilized with 0.5% Triton X-100 in PBS and stained for actin using an Alexa568-conjugated phalloidin derivate (0.33 µM, Invitrogen). Viral proteins p30 and p72 were detected using monospecific rabbit antisera [[77]30,[78]34] and AlexaFluor 647 conjugated secondary antibodies. Nuclei were stained using Hoechst33342 (Invitrogen, Waltham, MA, USA). Samples were analyzed using a Leica DMi8 microscope. Pictures were processed using ImageJ (v1.52 h, U. S. National Institutes of Health, Bethesda, MD, USA) software. To assess the expression of CD14, CD172a, CD163, SLA II and CD68 in moMΦ via flow cytometry, the cells were harvested 24 h after differentiation, washed in FACS buffer (0.1% sodium azide, 0.1% FCS, 1 mM EDTA in PBS), sedimented (350× g, 4 °C, 5 min) and stained for surface epitopes CD14, CD172a, CD163 and SLAII (10 min, 4 °C, dark) using appropriate antibodies; for details, see [79]Table S1. Cell viability was checked with Zombie Aqua staining reagent (Biolegend, San Diego, CA, USA) in accordance with the manufacturer’s directions. After fixation and permeabilization with True Nuclear Transcription Factor Buffer Set (Biolegend), intracellular CD68 was stained for 15 min at room temperature (RT) in the dark. Samples were measured with a BD FACSCanto™ II (BD Biosciences, BD FACSDiva™ Software v9.0.1, BD Biosciences, Franklin Lakes, NJ, USA) flow cytometer and the results processed via FlowJo™ v10.7 (BD Biosciences, Franklin Lakes, NJ, USA) software. See [80]Figure S1 for details of the gating strategy. 2.5. Infection with ASFV-Kenya1033-ΔCD2v-dsRed To enhance infection rates, cells were centrifuged (60 min, 37 °C, 600× g) during inoculation with ASFV-Kenya1033-ΔCD2v-dsRed with MOI2 ([[81]30], JH Forth, L Käbisch, R Portugal, S Blome, GM Keil, manuscript in preparation). For proteome analysis of moMΦ, approximately 5 × 10^6 cells were detached from the cell culture plates 24 hpi via incubation with 4 °C cold PBS supplemented with 50 mM EDTA, pelleted (250× g, 5 min, 4 °C) and harvested in 250 µL of lysis buffer (2% SDS in 100 mM Tris-HCl, pH 8.0). WSL cells were washed with PBS three times and harvested 48 hpi in 500 µL of lysis buffer. The longer incubation time for WSL cells was chosen to ensure that all cells were infected and had progressed to the late stage of infection [[82]2,[83]30]. For lysis and the inactivation of ASFV, the mixtures were incubated at 95 °C for 10 min, cooled to RT and clarified by centrifugation (5 min, 10,000× g, 20 °C). This supernatant is referred to as ‘lysate’. 2.6. Generation and Analysis of MS-Samples For shot-gun proteomic analysis, lysates were supplemented with 0.5% dithiothreitol for reduction and digested by Filter Aided Sample Preparation (FASP) [[84]35] using Trypsin (Promega #V5111, Madison, WI, USA) at an enzyme to substrate ratio of 1:50. Desalted peptides were separated using nano reversed phase liquid chromatography. Per sample, 1360 fractions were spotted to a MALDI target plate and analyzed via MALDI-TOF/TOF MS with an Ultraflextreme instrument (Bruker, Bremen, Germany). For details see [85]Supplementary Methods. Protein abundances in mol percent (%mol) were calculated on the basis of the exponentially modified protein abundance index (emPAI) [[86]36]. MS data are available at JPOST under the identifier JPST001339 ([87]https://repository.jpostdb.org/entry/JPST001339). 2.7. Statistics and Software All calculations were performed using the statistical language R [[88]37]; graphs were generated with the R-package ggplot2 [[89]38] and with BioRender.com (accessed on 30 September 2021). The following study design was applied: moMΦ were isolated from three pigs. From one animal, mock-infected and ASFV-infected cells were analyzed in triplicate together with mock and infected triplicates of WSL cells. Infected moMΦ from the other two animals were also analyzed in triplicate to assess the variability of ASFV protein expression in cells from different animals. For the biostatistical analysis of host protein expression levels, porcine protein identifiers were referenced to the corresponding genes using the R-package gprofiler2 (version 0.2.1) [[90]39]. Gene products were only considered for statistical analysis if they were expressed in at least one of the three replicates from two of the three pigs or in two of the three WSL cell samples. Genes were only considered as differentially expressed (differentially expressed genes, DEG) under different conditions if expression levels changed more than 2-fold and p-values of a two-sided t-test were <0.05. Host gene lists for enrichment analysis of Gene Ontology (GO) terms [[91]40] or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways [[92]41] were compiled from the output lists of ProteinScape software using R scripts. These lists contained DEGs and also the genes that were identified only under one of the compared conditions (infected versus naïve or moMΦ versus WSL). GO term and KEGG pathway enrichment analysis was performed using CytoScape (version 3.8.2) [[93]42] together with the package ClueGO (version v2.2.5.7) [[94]43]. 3. Results The goal of this study was to compare the expression of ASFV genes and host response in primary porcine moMΦ and WSL cells. Briefly, moMΦ were differentiated from PBMC-derived, magnetically sorted CD172a^+ monocytes, characterized and infected with ASFV. Proteomes of ASFV-infected moMΦ and WSL cells were compared via HPLC-MS analysis following the workflow outlined in [95]Figure 1. Figure 1. [96]Figure 1 [97]Open in a new tab Workflow for generation, processing and analysis of samples for proteome analysis. (A) Isolation, selection and differentiation one day after isolation and quality control of primary moMΦ, (B) ASFV infection, sample generation and processing for MS analysis, (C) analysis of peptides by HPLC-MALDI-TOF/TOF MS workflow and data processing. In order to achieve the high infection rates required for the unbiased comparison of both cell types, moMΦ and WSL cells were harvested at 24 hpi and 48 hpi [[98]2], respectively. 3.1. Characterization of Primary Macrophages To avoid the accumulation of BSA from the medium by the moMΦ, BSA- and serum-free culture conditions had to be used. Under these conditions, the prepared cells expressed a panel of moMΦ-specific CD markers which were assessed via flow cytometry ([99]Figure 2A), maintained their characteristic morphology, and remained susceptible to ASFV infection, as confirmed using immunofluorescence microscopy ([100]Figure 2B). Additionally, macrophage characteristic CD markers were detected by MS in moMΦ but not in WSL cells ([101]Figure 3A). Figure 2. [102]Figure 2 [103]Open in a new tab Characterization of moMΦ. (A) Phenotypic characterization of moMΦ by flow cytometry. Surface markers SLA class II, CD14, CD68, CD163 and CD172a are expressed on >95% of all moMΦ. (B) Morphologic characterization by fluorescence microscopy. Representative data from different preparations are shown. moMΦ were infected with ASFV at MOI2, fixed at 6 or 18 hpi, and stained for actin with phalloidin (green) to visualize the cell cortex. Early (p30, 6 hpi) or late (p72, 18 hpi) ASFV proteins were immunostained (violet) with appropriate antibodies. Bar indicates 25 µm. Figure 3. [104]Figure 3 [105]Open in a new tab Comparison of host protein expression between WSL and moMΦ and in response to ASFV infection. Expression of CD markers and SLA II in naïve WSL and moMΦ (A) and infected and mock-infected moMΦ (B). Volcano plots representing host gene expression levels in response to infection in moMΦ (C). The horizontal line corresponds to p = 0.05 (two-sided t-test), vertical lines to fold-changes of 2 and 0.5, respectively, red dots indicate host genes highlighted in previous ASFV-related publications. To confirm the moMΦ phenotype using protein expression profiling, we performed GO term enrichment and GO term clustering analysis of genes that were differentially expressed in naïve moMΦ and WSL cells using CytoScape and ClueGO software ([106]Supplementary file ‘S5_Gene_lists.xlsx’ sheet ‘Gene lists for EA’). Typical biological pathways related to phagocytic antigen-presenting cell functions such as endocytosis (GO:0006897; KEGG:04144), phagocytosis (GO:0006909; KEGG:04145), signal transduction (GO:0007165; GO:0007186) and immune-related pathways (KEGG:04612) were over-represented (Bonferroni-corrected p-value < 0.05) in moMΦ ([107]Supplementary Table S5 ‘S5_Gene_lists.xlsx’, sheet ‘Results enrichment analysis’). DEGs overexpressed in moMΦ included the macrophage mannose receptor (MRC1), the superoxide dismutase (SOD2), biliverdin reductase (BLVRB) and 11 genes related to the lysosome (KEGG:04142), such as Cathepsin A (CTSA) and ß-hexosaminidase subunits α and β (HEXA, HEXB). Vice versa, some proteins linked to the fatty acid metabolism (FASN, FABP3) or the TNF receptor-associated protein 1 (TRAP1) were overexpressed in WSL ([108]Supplementary File ‘S4_MS-statistics.xlsx’, sheet ‘Q_Cell type’, Figure S4a). These results indicated that the typical characteristics of protein expression in moMΦ had been maintained during cultivation and that the proteome analysis reflected cell-type-specific characteristics. 3.2. Infection of moMΦ by ASFV As animal-to-animal variation is a major general caveat of experiments using primary cells, the reproducibility of host and viral protein expression after the infection of moMΦ was of prime importance. To test this, moMΦ from three different animals were cultured and infected, and the proteomes were analyzed 24 hpi. Prior to MS analysis, ASFV infection was confirmed via the expression of the dsRed reporter and immunoblot analysis. Additionally, sample homogeneity was verified via SDS PAGE of the proteins followed by Coomassie staining ([109]Figure S2). Protein expression levels were calculated for all three experiments and are compared in the scatterplots shown in [110]Figure 4. Although some degree of variation was observed, the mean expression levels of ASFV and host proteins correlated well between different animals with correlation coefficients ranging from 0.89 to 0.93 for viral proteins and 0.85 to 0.86 for host proteins. Together with the observed mean relative standard deviations of protein expression levels (viral proteins: 0.36 to 0.45; host proteins: 0.32 to 0.36) ([111]Table S2), the reproducibility of viral expression levels ([112]Figure S3) of biological replicates from different pigs, the good accordance of the proportion of viral proteins in relation to the whole cell proteome ([113]Figure 5A), and the high infection rates ([114]Figure S2a) indicated that moMΦ could be experimentally infected in a reproducible way. Figure 4. [115]Figure 4 [116]Open in a new tab Comparison of viral and host gene expression levels. Scatter plots of viral (upper row) and host (lower row) protein levels representing moMΦ preparations from different pigs and WSL cells (far right panels). Mean expression levels (%mol concentrations) of at least 3 biological replicates are shown after log10 transformation (data taken from [117]Supplementary Table ‘S7_MS-quantification.xlsx’). N = 3 for the comparison of individual pigs. In the right panels, the means of 9 moMΦ and 3 WSL samples are shown. The dissecting lines are shown as references in gray.