Skip to main content
Download PDF
  • Research article
  • Open access
  • Published:

Coxiella burnetii Nine Mile II proteins modulate gene expression of monocytic host cells during infection

BMC Microbiology volume 10, Article number: 244 (2010) Cite this article

Abstract

Background

Coxiella burnetii is an intracellular bacterial pathogen that causes acute and chronic disease in humans. Bacterial replication occurs within enlarged parasitophorous vacuoles (PV) of eukaryotic cells, the biogenesis and maintenance of which is dependent on C. burnetii protein synthesis. These observations suggest that C. burnetii actively subverts host cell processes, however little is known about the cellular biology mechanisms manipulated by the pathogen during infection. Here, we examined host cell gene expression changes specifically induced by C. burnetii proteins during infection.

Results

We have identified 36 host cell genes that are specifically regulated when de novo C. burnetii protein synthesis occurs during infection using comparative microarray analysis. Two parallel sets of infected and uninfected THP-1 cells were grown for 48 h followed by the addition of chloramphenicol (CAM) to 10 μg/ml in one set. Total RNA was harvested at 72 hpi from all conditions, and microarrays performed using Phalanx Human OneArray™ slides. A total of 784 (mock treated) and 901 (CAM treated) THP-1 genes were up or down regulated ≥2 fold in the C. burnetii infected vs. uninfected cell sets, respectively. Comparisons between the complementary data sets (using >0 fold), eliminated the common gene expression changes. A stringent comparison (≥2 fold) between the separate microarrays revealed 36 host cell genes modulated by C. burnetii protein synthesis. Ontological analysis of these genes identified the innate immune response, cell death and proliferation, vesicle trafficking and development, lipid homeostasis, and cytoskeletal organization as predominant cellular functions modulated by C. burnetii protein synthesis.

Conclusions

Collectively, these data indicate that C. burnetii proteins actively regulate the expression of specific host cell genes and pathways. This is in addition to host cell genes that respond to the presence of the pathogen whether or not it is actively synthesizing proteins. These findings indicate that C. burnetii modulates the host cell gene expression to avoid the immune response, preserve the host cell from death, and direct the development and maintenance of a replicative PV by controlling vesicle formation and trafficking within the host cell during infection.

Background

Coxiella burnetii is a Gram-negative, pleomorphic, intracellular bacterial pathogen with a worldwide distribution [1, 2]. Virulent strains cause human Q-fever, which is usually marked by an acute self-limiting flu-like illness. Persistent infections usually progress into chronic disease [1, 3, 4]. Human infection occurs via inhalation of aerosols contaminated with C. burnetii. The small cell variant (SCV) form of the bacterium, which are metabolically inactive and environmentally stable, are believed to be responsible for most environmentally acquired infections. SCVs passively ingested by mononuclear phagocytes are trafficked along the endocytic pathway and associate with a variety of endocytic and autophagic markers before ultimately residing within a parasitophorous vacoule (PV) with characteristics of a secondary lysosome [1–3]. Here, they undergo a replicative lag phase of 1-2 days while differentiating into the metabolically active large cell variants (LCVs). Although they are not environmentally stable, LCVs are infectious in laboratory settings and pose a risk of causing disease. After differentiation, LCVs then undergo exponential replication for ~4 days (log phase) before beginning an asynchronous conversion back to SCVs at ~6 days post infection (PI) [5, 6]. LCV replication is accompanied by a remarkable expansion of the PV, which eventually occupies the majority of the host cell [2, 7].

Intracellular bacterial pathogens are known to operate by targeting and subverting vital intracellular pathways of the host [8, 9]. Bacterial proteins are a key factor in this subversion of host cell molecular mechanisms [2, 9–11]. Biogenesis and maintenance of the PV, interaction with the autophagic pathway, and inhibition of host cell apoptosis are all dependent on C. burnetii protein synthesis [2, 7, 12–14]. After ingestion by a host cell, C. burnetii PV maturation experiences a delay when compared to vacuoles carrying latex beads or dead C. burnetii [7, 15]. This delay in phagolysosomal maturation requires ongoing bacterial protein synthesis [7]. C. burnetii protein synthesis is also required for the fusogenicity of C. burnetii containing vacuoles, PV fusion with host vesicles, and in the maintenance of a spacious PV (SPV) during logarithmic bacterial growth [7, 15]. Transient interruption of bacterial protein synthesis results in cessation of SPV-specific vesicle trafficking and SPV collapse [7, 15]. The C. burnetii PV is thought to interact with the autophagic pathway as a means to provide metabolites to the bacterium. This interaction is also a pathogen driven activity [16]. Additionally, an examination of the PV has revealed increased amounts of cholesterol in the membranes [12]. Interestingly, C. burnetii infected cells have been observed to dramatically increase cholesterol production. During log growth, the PV expands and is accompanied by increased transcription of host genes involved in both cholesterol uptake (e.g. LDL receptor) and biosynthesis (e.g. lanosterol synthase) [2, 12].

Recently, the function of the host cell apoptotic pathway has been shown to be altered during C. burnetii infection. C. burnetii was shown to actively inhibit apoptosis in macrophages exposed to inducers of both the extrinsic and intrinsic apoptotic pathways in a bacterial protein synthesis dependant manner [14]. This antiapoptotic activity causes a marked reduction in activated caspase-3, caspase-9, and poly-ADP (ribose) polymerase (PARP) processing. Other data indicate that C. burnetii mediates the synthesis of host anti-apoptotic proteins A1/Bfl-1 and c-IAP2, which might directly or indirectly prevent release of cytochrome C from mitochondria, interfering with the intrinsic cell death pathway during infection [17]. Moreover, activation of the pro-survival host kinases Akt and Erk1/2 by C. burnetii was shown to protect infected host cells from apoptosis [18]. Despite the information on processes that appear to be affected by C. burnetii proteins, little is known about the host molecular mechanisms being targeted throughout the course of infection.

A common theme among bacterial pathogens, including C. burnetii, is the ability to secrete effector proteins into the host cell as part of their pathogenic strategy [9, 10]. The possession of a type IV secretion system (T4SS) by C. burnetii suggests that effector proteins might be delivered to the host cell via this machinery [2, 10, 19, 20]. As the genetic manipulation of C. burnetii is in its infancy, indirect approaches such as bioinformatic screens have been useful in predicting putative T4SS substrates. Recent data indicate that C. burnetii encodes multiple proteins with eukaryotic-like domains, including ankyrin repeat binding domains (Anks), tetratricopeptide repeats (TPRs), coiled-coil domains (CCDs), leucine-rich repeats (LRRs), GTPase domains, ubiquitination-related motifs, and multiple kinases and phosphatases [2, 21, 22]. Studies have shown that a number of the C. burnetii encoded Ank proteins are secreted into the host cell cytoplasm through the Legionella pneumophila T4SS [11, 19, 22]. Three of these proteins associate with the PV membrane, microtubules, and mitochondria, respectively, when expressed ectopically within eukaryotic cells [19].

These observations suggest that C. burnetii proteins directly interact and exploit mammalian intracellular pathways leading to the establishment and prolongation of the replicative niche. Here, we use the avirulent C. burnetii Nine Mile phase II (NMII) strain and the transient inhibition of bacterial protein synthesis as a means to elucidate host molecular mechanisms that are being actively targeted by C. burnetii during infection. While the C. burnetii NMII strain does not cause Q fever, it is a recognized model for the analysis of molecular host cell-pathogen interactions. Recent studies clearly demonstrate that the virulent Nine Mile phase I (NMI) and avirulent NMII strains grow at similar rates and are trafficked to similar intracellular vacuoles during infection of cultured monocytic cells (THP-1) as well as primary monocytes/macrophages [23, 24], making NMII an excellent model for molecular studies of this unusual pathogen. In the current study, we have analyzed C. burnetii NMII protein induced gene expression changes in infected THP-1 cells. Using microarray technology we have examined the global transcriptional response of THP-1 cells during C. burnetii infection by transiently inhibiting (bacteriostatically) bacterial protein synthesis during the logarithmic phase of infection and comparing this to normal (mock treated) infections ran in parallel. Using stringent comparative microarray data analyses, we have discovered 36 previously unidentified host genes whose expression is significantly changed by C. burnetii proteins. Gene ontology analysis on these data was performed to define the host cell processes being targeted by this bacterium during infection.

Methods

C. burnetii and cell culture growth and infection

C. burnetii Nine Mile phase II was grown in Vero cells (CCL-81; ATCC, Manassas, VA) and purified as previously described [20]. Non-adherent THP-1 human monocytic leukemia cells (TIB-202; ATCC) were propagated in RPMI 1640 medium (Gibco, Carlsbad, CA) supplemented with 1 mM sodium pyruvate, and 10% fetal bovine serum (FBS) at 37°C in 5% CO2. THP-1 cells between passages 6-10 were used in all experiments [14]. Briefly, purified C. burnetii NMII SCVs at a genome equivalent MOI of 15 were used to establish a synchronous infection. To ensure close host cell-bacteria contact, C. burnetii SCVs diluted in RPMI 1640 containing 10% FBS were incubated in 25 cm2 tissue culture flasks (Becton Dickinson, Franklin Lakes, NJ) with 5 × 106 THP-1 cells in a total volume of 2.5 ml. Incubations were performed at 37°C in an atmosphere of 5% CO2 for 4 hours. Cells were pelleted by centrifugation at 600 g for 5 minutes, washed with fresh media and pelleted again. Cell pellets were then re-suspended in 5 ml of fresh media (final concentration = 106 cells/ml) and transferred to new 25 cm2 tissue culture flasks (this represents T = 0). Cells were pelleted again at 48 hours post infection (hpi) and re-suspended in fresh media with or without the bacterial protein synthesis inhibitor chloramphenicol (CAM, a final concentration of 10 μg/ml), as needed. Cells were then incubated for an additional 24 hours for either total RNA harvest or microscopy analysis (see Figure 1). Infected and uninfected cells were handled identically and a total of three experiments (N = 3) were carried out for microarray analysis.

Figure 1
figure 1

Diagram of the experimental design for comparative C. burnetii infected host-cell microarrays. The rows of the top panel are untreated and rows of the bottom panel are treated with CAM (10 μg/ml) at 48 h hpi. Total RNA harvests are performed at 72 hpi for subsequent microarray analysis.

Full size image

Comparative microarray design and analysis

In order to perform the microarray hybridizations, two parallel infection and treatment protocols were employed. A schematic of the comparative microarray experimental design highlighting the separate treatment conditions is shown in Figure 1. Using this experimental design, a comparison was made between the THP-1 transcriptional responses of (i) uninfected versus C. burnetii NMII infected and (ii) uninfected versus C. burnetii NMII infected THP-1 cells transiently treated with bacteriostatic levels (10 μg/ml) of CAM. Briefly, infections were initiated and cultured in parallel with uninfected cells. At 48 hpi media containing CAM (10 μg/ml) was added to one set of cells (uninfected and infected THP-1 cells) and culturing was continued. The other set of cells were mock treated with normal media. Total RNA was isolated at 72 hpi from all conditions. Microarrays were performed for both conditions and the results were compared to define the host genes modulated by de novo synthesized C. burnetii NMII proteins. The 48-72 hpi time frame was used because (i) C. burnetii would be in logarithmic growth [6] and, (ii) previous studies have shown observable changes in PV size within C. burnetii infected Vero cells when treated overnight with 10 μg/ml of CAM at 48 hpi [7].

RNA extraction, microarray hybridization and data analysis

Following the infection and treatment protocols (Figure 1), total RNA was isolated using Tri-Reagent (Ambion, Austin, TX) according to the manufacturer's recommendations. All RNA samples were DNase treated using RQ1 DNase (Promega, Madison, WI) and confirmed DNA free by PCR. RNA integrity was assessed by electropherogram using a 2100 Bioanalyzer (Agilent Technologies, Santa Clara, California). Total RNA (500 ng) from each sample was then amplified using an Epicentre® Biotechnologies (Madison, WI) TargetAmp™ 1-Round AminoallylaRNA Amplification Kit, yielding approximately 6-10 μg of aminoallyl-aRNA (AA-aRNA). Alexa Fluor® 555-GREEN (Invitrogen, Carslbad, CA) was used to label the uninfected AA-aRNA, while Alexa Fluor® 647-RED (Invitrogen) was used to label the AA-aRNA from the C. burnetii infected cells. Labeled AA-aRNA (2 μg) with a dye incorporation efficiency range of 18-34 picomol/microgram, were mixed pair-wise and hybridized overnight to Human OneArray™ microarrays (Phalanx Biotech Group, Palo Alto, CA). Human OneArrays contain 32,050 oligonucleotides; 30968 human genome probes and 1082 experimental control probes formed as 60-mer sense-strand DNA elements. Arrays were hybridized, washed, and dried rapidly according to the manufacturer's instructions. Six hybridizations for each condition set (CAM and mock treated) were performed with three biological and two technical replicates. Signal intensity of the hybridized arrays were measured by ScanArray Express (PerkinElmer, Boston, MA, USA) and the images were processed using GenePix Pro version 4.0 (Axon, Union City, CA, USA). The processed GenePix Pro 4.0 output was further analyzed using Loess-Global intensity dependent normalization through the GenePix Auto Processor (http://darwin.biochem.okstate.edu/gpap3/) as previously described [25–27]. Normalized ratio values for each data point were averaged across the three biological replicates and two technical replicates. Significant expression differences were defined as a P-value < 0.05 and displayed as a fold change of ≥2 fold [28, 29]. The microarray data were deposited at the NCBI Gene Expression Omnibus (GEO) under the platform accession number GPL6254 and the series number GSE23665. The biological function of the identified genes was determined bioinformatically by the Database for Annotation, Visualization, and Integrated Discovery (DAVID) v6.7 (http://david.abcc.ncifcrf.gov/) [30] as well as by Ingenuity pathway analysis (Ingenuity® Systems, http://www.ingenuity.com). This software identifies canonical pathways within gene sets using significant associations (P < 0.05) calculated by Fisher's exact test and also by a ratio of the number of molecules from the experimental data set that maps to the pathway, divided by the total number of molecules that exists in that canonical pathway.

Immunofluorescence microscopy

Non-adherent THP-1 cells (CAM and mock treated) were analyzed by indirect immunofluorescent antibody (IFA) microscopy. Briefly, 1 × 105 cells were cytocentrifuged onto poly-L-lysine coated slides for 2 minutes at 1000 rpm using a Shandon Cytospin® 4 Cytocentrifuge (Thermo Scientific) [31]. The cytospun THP-1 cells were air dried and immediately fixed using ice cold acetone for 30 seconds. The fixed preparations were then washed with PBS and stained with a rabbit antibody against whole killed C. burnetii NMII (primary antibody) followed by a goat anti-rabbit IgG Alexa Fluor-488 (Molecular Probes, Eugene, OR) secondary antibody. Host and bacterial DNA were also stained using 4',6-diamidino-2-phenylindole (DAPI). Microscopy was conducted using a Nikon Eclipse TE 2000-S microscope with a Nikon DS FI1 camera and NIS-ELEMENTS F 3.00 software. IMAGEJ version 1.42n (Wayne Rasband, NIH) was also used for image processing [20].

RT-qPCR analysis

RT-qPCR was performed using gene-specific primers (shown in Additional file 1-Table S1.I), and the SYBR Green Master Mix Kit (Applied Biosystems) on an Eppendorf Mastercycler® ep realplex (Eppendorf, Hamberg, Germany) following the manufacturer's recommendations. Briefly, first strand cDNA was synthesized using random hexamers, 1 μg of total RNA, and the SuperScript III First-Strand Synthesis System for RT-PCR (Invitrogen) as suggested by the manufacturer. Oligonucleotide primers were designed using Primer3Plus [32, 33]. The primer efficiency of each primer set was determined to be within the efficiency window for the 2-ΔΔCT relative fold calculation method [34]. The human β-actin gene was used as the reference gene. Paired T-Test was performed to identify statistical differences between any two conditions. Differences were considered significant at a P < 0.05.

Results

SPV morphology within CAM treated C. burnetii infected THP-1 cells

As the transient inhibition of C. burnetii protein synthesis within infected THP-1 cells using CAM is pivotal to testing our hypothesis, we sought to confirm that morphological changes occur to the PV of infected THP-1 cells after transient CAM treatment in a manner consistent with that observed in other cell types [35]. Using phase contrast and IFA microscopy analysis, we assessed the effect of bacteriostatic levels of CAM (10 μg/ml) on infected THP-1 cells during the log growth phase of the C. burnetii infectious cycle in order to coincide with subsequent microarray analysis. Robust infections (≥90% infected cells) were produced using C. burnetii NMII at a genome equivalent MOI of 15. Infections were either mock or CAM treated at 48 hours post infection (hpi), and then compared at 72 hpi. Figure 2 shows both phase contrast (Figure 2 top panel) and IFA microscopy (Figure 2, middle and bottom panels) images representative of the C. burnetii NMII infection of THP-1 cells at 72 hpi. Multiple, large SPVs can be seen in the mock treated THP-1 infections, while smaller, dense PVs are observed in the CAM treated infections. These results are in agreement with published findings where transient CAM treatment resulted in PV collapse in C. burnetii infected Vero cells [7]. Figure 2C-H shows a set of similarly treated infections visualized by IFA microscopy. C. burnetii are visualized in green (Figure 2, C and 2F) and cell nuclei are stained in blue (Figure 2, D and 2G) and the images merged (Figure 2, E and 2H). Comparing the mock and CAM treated images (Figure 2, C and 2F), a noticeable decrease in vacuole size and fluorescent intensity is observed, indicating the collapse of the SPVs within the CAM treated cells when compared to the large, SPVs observed within the mock treated cells. Comparisons of DNA samples harvested at 48 hpi (prior to CAM treatment) and 72 hpi (after 24 h CAM treatment) using qPCR determined that these samples had similar C. burnetii genome equivalents, indicating that the 10 μg/ml CAM concentration was acting bacteriostatically (data not shown). In addition, removal of CAM from infected cells after the 24 h transient treatment resulted in the re-establishment of large, SPVs within 48 h as observed by phase contrast microscopy (data not shown). Together, these data indicate that 10 μg/ml of CAM is able to transiently arrest C. burnetii protein synthesis in the THP-1 cell infection model.

Figure 2
figure 2

Phase contrast and fluorescent microscopy of C. burnetii infected THP-1 cells. All images are of C. burnetii infected THP-1 cells 72 hpi. Top Panel, Phase contrast microscopy. A, a mock treated infection. B, infection treated with 10 μg/ml CAM for the final 24 h. Arrows indicate PVs. Middle Panel, IFA microscopy images of a mock treated infection. C, Alexa-488 staining of C. burnetii. D, DAPI staining. E, merge of C and D. Bottom Panel, IFA microscopy images of an infection treated with 10 μg/ml CAM for the final 24 h. F, Alexa-488 staining of C. burnetii. G, DAPI staining. H, merge of F and G. 400× magnification was used for all images.

Full size image

Gene expression in mock and CAM treated infected vs. uninfected THP-1 cells

As outlined in Figure 1, two whole genome RNA microarray analyses were performed resulting in the generation of two separate global gene expression profiles. A total of 784 THP-1 genes (Additional file 1- Table S1.A) were up- or down-regulated ≥2 fold in mock treated infected vs. uninfected cells while a total of 901 THP-1 Additional file 1 - Table S1.C) were up- or down-regulated ≥2 fold in CAM treated infected vs. uninfected cells. To identify the host cell functions affected by C. burnetii infection and proteins, these gene sets were annotated using DAVID. A modified Fisher Exact P-Value test was used to measure gene-enrichment in annotation terms. The top biological function assignments for the mapped genes (P < 0.05) expressed as the percentage of the 784 and 901 significant genes identified in the mock and CAM treated microarrays, respectively, are shown in Additional file 2- Figure S1. This figure aids in defining the prominent cell functions affected by C. burnetii infection and proteins. Identified as affected cell functions under both conditions are immune response, cell migration, regulation of programmed cell death, intracellular signaling cascades, regulation of cell proliferation, and cytoskeletal organization. Notable differences were observed in the percentage of genes involved with each of these functions under the mock treated and CAM treated conditions, indicating a role for C. burnetii proteins in changing gene expression in these pathways. Other important host cell functions influenced under the mock treated condition are protein phosphorylation, lipid storage, gas homeostasis, cell-cell signaling, and cellular ion homeostasis. While major cellular functions seen affected only in CAM treated infected THP-1 cells are cell cycle processes, cell activation, response to DNA damage, lipid (sterol and cholesterol) transport, positive regulation of cytokine biosynthetic processes, and regulation of nitric oxide biosynthetic processes. Additional file 1- Tables S1.E and S1.F list the host genes associated with each of these functions. Out of the 784 host genes identified in the mock treated data set, 62 genes were not assigned function by DAVID's biological annotation coverage. In the CAM treated infected vs. uninfected data set, 102 out of the 901 host cell genes remained unassigned.

To further define the prominent host cell pathways affected by C. burnetii infection and proteins, an Ingenuity pathway analysis (IPA) was performed on the 784 and 901 significant genes identified in the mock and CAM treated microarrays, respectively. IPA identifies the top canonical pathways represented in a group of genes. Additional file 1-Tables S1.G and S1.H list the top canonical pathways associated with the mRNA profiles of the mock treated and CAM treated infected vs. uninfected THP-1 cells, respectively. From the mock treated microarray set, 17 biological functions were influenced by infection while 28 functions were significantly affected by CAM treatment of infections (Additional file 1 Tables S1.E and S1.F). Many of the biological functions identified are the result of the molecular pathways identified by IPA, with several innate immune response and stress pathways implicated when C. burnetii protein synthesis is arrested, again indicating a role for C. burnetii proteins in managing the host cell response to infection.

Comparative analysis between mRNA profiles of untreated and CAM treated uninfected/infected THP-1 cells

In order to identify the host cell genes differentially expressed (≥2 fold) in response to de novo C. burnetii protein synthesis, we compared the two separate mRNA expression profiles. Microarray analysis of mock treated (-CAM), uninfected vs. infected THP-1 cells using a broad cut-off of >0 fold revealed a gene summary list of 2557 genes (P < 0.05) (Additional file 1- Table S1.B). Within this data set are the 784 genes which changed ≥2 fold (S1.A), and was considered a significant change. Using a >0 fold cut-off for the CAM treated (+CAM) uninfected vs. infected THP-1 cells, a gene summary list of 2584 genes were identified (Additional file 1 - Table S1.D). The subset of 901 genes that changed significantly (≥2 fold, S1.B) was within this large gene summary list. Figure 3 depicts a comparison of these two sets of microarray data using Venn diagrams. To eliminate the insignificantly (<2 fold) expressed genes, (i) the subset of significant THP-1-CAM genes (784) was cross-matched to the THP-1+CAM whole gene summary list (>0 fold) of 2584 genes and, (ii) the subset of significant THP-1+CAM genes (901) was cross-matched to the THP-1-CAM whole gene summary list (>0 fold) of 2557 genes. This cross comparison identified 28 genes in the THP-1-CAM subset and 35 genes in the THP-1+CAM subset that were significantly changed (≥2 fold) between the two microarray conditions. The overlapping genes from these two data sets were pooled (27 genes) and uniquely expressed genes in the -CAM (1 gene) and +CAM (8 genes) were identified. Comparing the results from these two gene subsets provided us with a list of 36 candidate host cell genes whose expression was ≥2 fold different between the mock treated (-CAM) and CAM treated (+CAM) arrays, indicating genes whose expression is modulated by de novo synthesized C. burnetii proteins.

Figure 3
figure 3

Venn diagram of differentially expressed THP-1 genes. A venn diagram visualization showing 784 and 901 differentially expressed host genes in C. burnetii infected THP-1 cells under mock (- CAM) and CAM treated (+ CAM) conditions respectively, as determined by oligonucleotide microarray analysis. Comparisons between differentially expressed genes of -CAM with the gene summary list of + CAM (>0 fold Δ = 2584 genes) and differentially expressed genes of + CAM with the gene summary list of -CAM (>0 fold Δ = 2557 genes) are also shown. The intersections (areas of overlap) indicate genes regulated in common under both conditions. Twenty-eight of the differentially expressed genes in - CAM and thirty-five of the differentially expressed genes in + CAM are modulated by C. burnetii protein synthesis (>2 fold difference). Of these, twenty-seven are common between the two conditions, while eight and one genes are uniquely expressed in +CAM and -CAM conditions, respectively.

Full size image

Host cell biological functions associated with THP-1 mRNAs modulated by de novo C. burnetii protein synthesis

To determine the host cell biological pathways being affected by C. burnetii protein synthesis, IPA was used. Analysis of the subset of thirty-six differentially expressed host genes modulated by C. burnetii protein(s) were classified according to the biological function they are associated with, the protein's cellular location, and its molecular function (Table 1). A majority of the proteins in this data set are predicted to reside in the cytoplasm (14 proteins) and cell nucleus (9 proteins). Six proteins are predicted to function in the extracellular space while four proteins are thought to be located on the plasma membrane. Other than cellular location, the host genes were also categorized on the basis of the expressed protein's function - i.e. enzyme, cytokine, transporter, transcriptional regulator, or other. For the thirty-six gene subset, Table 1 also lists the fold change found within the separate mock treated and CAM treated microarrays, respectively, as well as the fold difference between the arrays. C. burnetii infected host cells had lower RNA levels of twenty-two host genes relative to cells containing C. burnetii transiently inhibited with CAM. RNA levels of fourteen genes in this data set are found to be higher due to C. burnetii infection when compared to the CAM treated condition. Bioinformatic analysis conducted to determine possible biological functions of these C. burnetii modulated host genes indicates that immune response and cellular movement, cellular signaling, cellular proliferation, cell death, lipid metabolism, molecular transport, as well as vesicle trafficking, and cytoskeletal organization are affected by C. burnetii protein synthesis (Table 1). These data indicate that the expression of vital genes involved in cellular movement - IL8, CCL2, CXCL1, SPP1 (cytokines) are suppressed via C. burnetii's protein synthesis in mock treated conditions when compared to CAM treated conditions. These secretory molecules (IL8, CCL2, CXCL1, SPP1) regulate the infiltration and trafficking of immune cells. Table 1 shows other crucial host genes specifically suppressed by C. burnetii protein synthesis in THP-1 infection such as BCL3, CTSB and CTSL1 (apoptosis), MTSS1, SMTN and PLEKHO1 (cytoskeleton organization), APOE, PLIN2 and FABP4 (lipid metabolism), and RAB20, SOD2, PSMA8, MSC, ZFP36L1, and RORA (Miscellaneous). The prominent genes found to be up-regulated (induced) due to C. burnetii's protein synthesis are ITK, DUSP9 & SKP2 (intracellular signaling), SOX11, HELLS & PGR (cell growth and proliferation) SLC22A6, CDH2, PSD4, ZNF573, CHMP5 & MRPL44 (Miscellaneous) and ANLN (cytoskeleton organization).

Table 1 Differentially expressed host genes modulated by C. burnetii protein synthesis.
Full size table

RT-q PCR analysis of THP-1 gene expression in response to mock and CAM treated C. burnetii infection

RT-qPCR was used to validate the expression trends of selected genes identified by microarray analysis. Using the same total RNA samples utilized for the microarray hybridizations, six host genes were selected (IL8, CCL2, ZFP36L1, APOE, RND3, and POU4F2) and analyzed by RT-qPCR using the constitutively expressed β-actin gene as a comparative control. In each case, the RT-qPCR data matched the trends from the microarray analysis with respect to whether expression was increased, decreased, or unchanged. Figure 4 shows the fold expression differences of IL8, CCL2, ZFP36L1, APOE, RND3, and POU4F2 identified by microarray in mock and CAM treated experimental conditions (Figure 4A) and the subsequent RT-qPCR analysis (Figure 4B). IL8, CCL2, APOE, and ZFP36L1 represent genes that are increased in mock treated C. burnetii infected THP-1 cells but increase further when C. burnetii's protein synthesis is transiently inhibited using bacteriostatic levels of CAM. The POU4F2 gene expression is decreased similarly under both conditions and represents a THP-1 gene modulated by C. burnetii infection whether or not active protein synthesis is occurring. RND3 expression increases similarly in C. burnetii infected THP-1 cells regardless of ongoing bacterial protein synthesis. These results confirm that genes with significant mRNA expression changes by oligonucleotide microarrays analysis are differentially expressed when measured by RT-qPCR.

Figure 4
figure 4

RT-qPCR of selected genes confirms microarray expression trends. A, shows the microarray data of the genes used to confirm microarray expression trends. Fold difference (-CAM) is the fold change of differentially expressed THP-1 genes in response to C. burnetii infection after mock treatment. Fold difference (+CAM) is the fold change of differentially expressed THP-1 genes in response to C. burnetii infection after CAM treatment. B, difference in mRNA levels in selected genes relative to β-actin. An equal amount of total RNA from each sample was analyzed by RT-qPCR. The Y-axis represents fold changes in gene expression while X axis shows the conditions under which gene expression was observed (mock and CAM treated, and uninfected and C. burnetii infected THP-1 cells). U-CAM, uninfected THP-1 minus CAM. U+CAM, uninfected THP-1 plus CAM. I-CAM, infected THP-1 minus CAM. I+CAM, infected THP-1 plus CAM. The results represent the mean of three biological samples and three technical replicates of each sample. Error bars represent the s.e.m.

Full size image

Discussion

Bacterial effector proteins are crucial to the survival and growth of intracellular pathogens within the eukaryotic cellular environment. These interactions may be at a myriad of pathways or at points within a single pathway. Moreover, the growth of C. burnetii within the lumen of the PV would require the mediation of interactions with the host cell using effector proteins, which are predicted to be delivered by the pathogen's type IV secretion system [10, 11, 19]. The goal of this study was to identify host genes that are specifically manipulated by C. burnetii proteins. Our hypothesis was that the expression of host cell genes will be changed by infection with C. burnetii NMII and that the expression of a subset of these genes will be directly affected by ongoing bacterial protein synthesis. Identification of such genes will aid in the understanding of host molecular mechanisms being targeted by C. burnetii during growth. In order to identify the host genes regulated by C. burnetii proteins, we compared CAM and mock treated mRNA profiles of THP-1 cells following a 72 h infection with C. burnetii. Microarray data analysis shows that the majority of host genes were up- or down regulated similarly in both the mock and CAM treated array sets, suggesting that most THP-1 genes were not differentially modulated at the RNA level by active C. burnetii protein synthesis. We had predicted that the majority of expression changes in the host cell would be in response to the physical presence of bacteria within the cell. Using stringent analysis conditions, the transcriptional response data comparisons identified thirty-six differentially expressed genes, which were uniquely modulated by C. burnetii proteins. The targeting of these host genes by the pathogen indicates they may fall within pathways that C. burnetii needs to modulate for its own survival.

During infection C. burnetii replicates intracellularly, which aids in avoidance of the host immune response. Immune clearance of bacteria is largely dependent on cellular sensors called pattern recognition receptors (PRR) found on phagocytes [36]. Activated macrophages then eliminate bacteria through extrinsic or intrinsic apoptosis and/or inducing pro-inflammatory cytokines [36]. Bacteria employ indirect mechanisms to regulate cytokine production by interfering with the NFkappaB signaling pathway, which is a potent transcriptional activator of cytokines [37]. Interestingly, of the thirty-six host genes that met our criteria (Table 1) for C. burnetii protein driven expression changes, four are cytokines (IL8, CCL2, CXCL1 and SPP1). These secretory molecules are noted for chemo-attraction of phagocytic and lymphocytic cells [38–40]. C. burnetii protein(s) appear to reduce the RNA levels of each of these four genes in infected THP-1 cells relative to those found in infected cells transiently inhibited with CAM. The ability of C. burnetii to avoid or suppress host cytokine signaling, even transiently, may well represent an essential part of its ability to survive and cause disease by preventing communication between innate and adaptive immune cells.

Although the control and clearance of C. burnetii infection is T-cell dependent, specific data on T-cell activation signals are lacking [4]. One study indicated that an in vitro stimulation of peripheral blood mononuclear cells (PBMC) by virulent and avirulent C. burnetii strains cause the production of RANTES and CCL2 [41]. Using a 36 h model of C. burnetii infection, a DNA microarray study reported an increase in host cell expression of certain chemokines (RANTES, SCYA3, SCYA4, and IL8). The study also observed no induction of TNF-α and IL-1β after 36 h of infection, but the antimicrobial response gene encoding cytochrome b-245 (CYBB) was up-regulated [28]. In the current study, IL8 gene expression was also increased due to C. burnetii infection but expression was further increased when C. burnetii protein synthesis was inhibited, suggesting that bacterial protein(s) differentially modulate the expression of IL-8 during infection. In addition, the IL8 receptor gene (IL8RB) was found to be down regulated in mock treated, infected THP-1 cells (see Additional file 1- Table S1.A). This is the first evidence of host cell cytokine production being modulated by C. burnetii protein during an infection.

In addition to the immune response, C. burnetii has to overcome another central host defense mechanism, apoptosis. The intracellular pathogens C. trachomatis, Mycobacterium tuberculosis as well as C. burnetii posses mechanisms to subvert cell death pathways [13, 14, 42, 43]. C. burnetii has been shown to inhibit host cell apoptosis by a mechanism that prevents cytochrome C release from the mitochondria [13]. C. burnetii directs the sustained activation of host pro-survival kinases Akt and Erk1/2, which are necessary for anti-apoptotic activity [13, 14]. Table 1 shows that seven of the thirty-six C. burnetii protein modulated THP-1 genes are associated with apoptosis and cell proliferation within eukaryotic cells. C. burnetii protein(s) suppress the expression of three genes (BCL3, CTSB, and CTSL1), when compared to expression levels present in CAM treated THP-1 cells, which can have pro-apoptotic activities. By modulating these host genes during infection C. burnetii appears to promote its own survival by ensuring the survival of the host cell. The expression of the four cell proliferation/survival genes (C11ORF82, PGR, SOX11 and HELLS) are significantly reduced when C. burnetii's protein synthesis is inhibited during infection of THP-1 cells (Table 1). The expression of each of these genes is higher in infected cells than in infected cells where bacterial protein synthesis is inhibited, again indicating that C. burnetii protein(s) have an anti-cell death affect. Interestingly, our microarray analysis also shows a 4-fold expression decrease of TNFRSF10A (Death receptor 4) in mock treated infections of THP-1 cells (Additional file 1-Table S1.A). Normally, TNFRSF10A induces apoptosis by binding to TNFSF10/TRAIL ligand in cells [44], suggesting that the expression changes in C. burnetii infected cells may represent another means of inhibiting host cell death.

Eukaryotic host cell cytoskeleton (actin filaments, microtubules and intermediate filaments) are a common target of molecular interactions for intracellular microbial pathogens [9]. Virulent C. burnetii has been shown to affect F-actin reorganization in THP-1 cells [45, 46]. F-actin has also been shown to be associated with PV formation and homotypic fusion of C. burnetii containing vacuoles, although PVs are able to acquire lysosomal markers when F-actin formation is inhibited [47]. Our analysis indicates that MTSS1, ANLN, SMTN and PLEKHO1 are differentially modulated by C. burnetii protein synthesis (Table 1). Compared to CAM treated THP-1 infections, the relative expression levels of MTSS1, SMTN and PLEKHO1 is lower in THP-1 mock treated infections. The relative expression of ANLN is higher in mock treated C. burnetii infections than in CAM treated infections. Interestingly, ANLN interacts with F-actin and is over expressed in dividing cells [48], suggesting that C. burnetii infection supports cell growth and division. The structure and integrity of the PV as well as host cell vesicles fusogenicity with the PV is dependent on cytoskeletol structures [47]. Finding that four out of the thirty-six genes are associated with the regulation and function of the cells cytoskeleton supports findings that the cytoskeleton is crucial to C. burnetii during infection.

Manipulation of cellular lipids is emerging as an important factor in infectious diseases [49, 50]. Host cell cholesterol levels affect the growth of intracellular bacterial pathogens such as Salmonellae, Mycobacteriae, Brucellae, Anaplasma, and Coxiellae [12, 50]. Little is known about cholesterol levels or imbalance in Q-fever patients, but studies at the cellular level indicate that C. burnetii infected Vero cells contain 73% more cholesterol than uninfected cells [12]. Table 1 lists three C. burnetii protein(s) modulated host genes (APOE, PLIN2, and FABP4) that are associated with lipid metabolism and regulation. These genes have lower relative expression levels in the mock treated THP-1 infections when compared to the CAM treated THP-1 infections. APOE is a multifunctional protein primarily involved in cholesterol homeostasis [51–55]. Endogenously, APOE promotes cholesterol efflux in macrophages to lower intracellular cholesterol concentrations. Macrophages deficient in APOE are severely compromised in cholesterol homeostasis [51–55]. PLIN2 and Fatty acid binding protein 4 (FABP4) are proteins that associate with lipids and fatty acids, respectively, and mediate the stabilization of lipid droplets and fatty acid transport [56, 57]. An increase in cholesterol regulating proteins would be expected in response to the profound increases in the cellular concentration of cholesterol seen during C. burnetii infection. This makes the increase in APOE expression observed upon inhibition of C. burnetii protein synthesis particularly noteworthy. It seems that modulation of these key lipid homeostasis genes allows C. burnetii to not only suppress the loss of host cell cholesterol but to also direct lipid trafficking.

Bacterial pathogens often subvert host cell signaling pathways by introducing bacterial effector proteins that interfere with host cell phophorylation cascades [9]. C. burnetii dependent regulation of host cell signal transduction pathways are not well understood. Our data identified active modulation of three host cell signal transduction genes (ITK, DUSP9 and SKP2) by C. burnetii's protein(s). While ITK and SKP2 play significant roles in inducing host cell proliferation [58, 59], DUSP9 is a mitogen-activated protein kinase phosphatase (MKP) that negatively regulates MAPK activity in mammalian cells, thus preserving the cell from apoptosis [60]. The expression of these genes are relatively higher in C. burnetii infected THP-1 cells compared to the expression levels found in C. burnetii infected THP-1 cells transiently inhibited by CAM. This suggests that C. burnetii protein synthesis "encourages" cell proliferation in addition to its anti-apoptotic effects as a means to preserve the host cell environment.

In addition to the outlined host cell processes, we identified a variety of genes involved in diverse functions of a host cell, which were also modulated by C. burnetii protein synthesis (Table 1). In this miscellaneous cellular functions category, some genes were expressed at relatively higher levels than what was expressed in CAM inhibited infected cells and are of particular interest. The PSD4 gene, which is involved in membrane recycling [61], and CHMP5, which is an essential regulator of late endosome function. CHMP5 null cells show enhanced signal transduction, protein accumulation in enlarged multi vesicular bodies (MVB) and inhibition of MVB trafficking to lysosomes [62]. In addition, we have recently found that markers of multi lamellar/multi vesicular bodies associate with membrane structures within the PV lumen during C. burnetii infection of Vero cells (unpublished observations). Given that C. burnetii's replication niche possesses markers consistent with those on late endosomes/lysosomes [2], our finding that expression of these genes are markedly lower when C. burnetii protein synthesis is inhibited suggests that they play a part in development and maintenance of the PV during infection. This overall manipulation of endocytosis, vesicle trafficking, and late endosome/lysosome maturation is in agreement with studies which found that inhibition of C. burnetii protein synthesis at any point during the life cycle changes these processes within C. burnetii infected cells [35, 63].

Conclusions

Through this study we have discovered thirty-six host cell genes with significant relative expression changes after transient inhibition of C. burnetii protein synthesis. The expression changes of these genes in the mock and CAM treatment conditions were confirmed using RT-qPCR analysis. Using bioinformatics, we have also determined the predominant host cell processes associated with these genes. Collectively, these data support our hypothesis that C. burnetii proteins differentially modulate host cell genes during infection. Predominant cellular functions that are modulated by C. burnetii proteins include (i) innate immune response, (ii) cell death and proliferation, (iii) vesicle trafficking and development, (iv) lipid homeostasis, and (v) cytoskeletal function. These findings indicate that C. burnetii actively modulates the expression of genes that may play a role in the ability of the pathogen to establish the PV, survive, and replicate within the intracellular environment.

References

  1. Maurin M, Raoult D: Q Fever. Clin Microbiol Rev. 1999, 12: 518-553.

    PubMed Central  CAS  PubMed  Google Scholar 

  2. Voth DE, Heinzen RA: Lounging in a lysosome: the intracellular lifestyle of Coxiella burnetii. Cellular Microbiology. 2007, 9: 829-840. 10.1111/j.1462-5822.2007.00901.x.

    Article  CAS  PubMed  Google Scholar 

  3. Kazar J: Coxiella burnetii Infection. Annals of the New York Academy of Sciences. 2005, 1063: 105-114. 10.1196/annals.1355.018.

    Article  PubMed  Google Scholar 

  4. Shannon J, Heinzen R: Adaptive immunity to the obligate intracellular pathogen Coxiella burnetii. Immunologic Research. 2009, 43: 138-148. 10.1007/s12026-008-8059-4.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  5. Heinzen RA, Hackstadt T, Samuel JE: Developmental biology of Coxiella burnetii. Trends in Microbiology. 1999, 7: 149-154. 10.1016/S0966-842X(99)01475-4.

    Article  CAS  PubMed  Google Scholar 

  6. Coleman SA, Fischer ER, Howe D, Mead DJ, Heinzen RA: Temporal Analysis of Coxiella burnetii Morphological Differentiation. J Bacteriol. 2004, 186: 7344-7352. 10.1128/JB.186.21.7344-7352.2004.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  7. Howe D, Melnicáková J, Barák I, Heinzen RA: Maturation of the Coxiella burnetii parasitophorous vacuole requires bacterial protein synthesis but not replication. Cellular Microbiology. 2003, 5: 469-480. 10.1046/j.1462-5822.2003.00293.x.

    Article  CAS  PubMed  Google Scholar 

  8. Portnoy DA: Manipulation of innate immunity by bacterial pathogens. Current Opinion in Immunology. 2005, 17: 25-28. 10.1016/j.coi.2004.11.002.

    Article  CAS  PubMed  Google Scholar 

  9. Bhavsar AP, Guttman JA, Finlay BB: Manipulation of host-cell pathways by bacterial pathogens. Nature. 2007, 449: 827-834. 10.1038/nature06247.

    Article  CAS  PubMed  Google Scholar 

  10. Voth DE, Heinzen RA: Coxiella type IV secretion and cellular microbiology. Current Opinion in Microbiology. 2009, 12: 74-80. 10.1016/j.mib.2008.11.005.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  11. Pan X, Luhrmann A, Satoh A, Laskowski-Arce MA, Roy CR: Ankyrin Repeat Proteins Comprise a Diverse Family of Bacterial Type IV Effectors. Science. 2008, 320: 1651-1654. 10.1126/science.1158160.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  12. Howe D, Heinzen RA: Coxiella burnetii inhabits a cholesterol-rich vacuole and influences cellular cholesterol metabolism. Cellular Microbiology. 2006, 8: 496-507. 10.1111/j.1462-5822.2005.00641.x.

    Article  CAS  PubMed  Google Scholar 

  13. Luhrmann A, Roy CR: Coxiella burnetii Inhibits Activation of Host Cell Apoptosis through a Mechanism That Involves Preventing Cytochrome c Release from Mitochondria. Infect Immun. 2007, 75: 5282-5289. 10.1128/IAI.00863-07.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  14. Voth DE, Howe D, Heinzen RA: Coxiella burnetii Inhibits Apoptosis in Human THP-1 Cells and Monkey Primary Alveolar Macrophages. Infect Immun. 2007, 75: 4263-4271. 10.1128/IAI.00594-07.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  15. Howe D, Mallavia LP: Coxiella burnetii Exhibits Morphological Change and Delays Phagolysosomal Fusion after Internalization by J774A.1 Cells. Infect Immun. 2000, 68: 3815-3821. 10.1128/IAI.68.7.3815-3821.2000.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Romano PS, Gutierrez MG, Berón W, Rabinovitch M, Colombo MI: The autophagic pathway is actively modulated by phase II Coxiella burnetii to efficiently replicate in the host cell. Cellular Microbiology. 2007, 9: 891-909. 10.1111/j.1462-5822.2006.00838.x.

    Article  CAS  PubMed  Google Scholar 

  17. Luhrmann A, Roy CR: Coxiella burnetii inhibits activation of host cell apoptosis through a mechanism that involves preventing cytochrome c release from mitochondria. Infect Immun. 2007, 75: 5282-5289. 10.1128/IAI.00863-07.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  18. Voth DE, Heinzen RA: Sustained activation of Akt and Erk1/2 is required for Coxiella burnetii antiapoptotic activity. Infect Immun. 2009, 77: 205-213. 10.1128/IAI.01124-08.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  19. Voth DE, Howe D, Beare PA, Vogel JP, Unsworth N, Samuel JE, Heinzen RA: The Coxiella burnetii Ankyrin Repeat Domain-Containing Protein Family is Heterogeneous with C-terminal Truncations that Influence Dot/Icm-Mediated Secretion. J Bacteriol. 2009, JB.01656-01608.

    Google Scholar 

  20. Morgan JK, Luedtke BE, Shaw EI: Polar localization of the Coxiella burnetii type IVB secretion system. FEMS Microbiology Letters. 2010, 305: 177-183. 10.1111/j.1574-6968.2010.01926.x.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Seshadri R, Paulsen IT, Eisen JA, Read TD, Nelson KE, Nelson WC, Ward NL, Tettelin H, Davidsen TM, Beanan MJ: Complete genome sequence of the Q-fever pathogen Coxiella burnetii. Proceedings of the National Academy of Sciences of the United States of America. 2003, 100: 5455-5460. 10.1073/pnas.0931379100.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Beare PA, Unsworth N, Andoh M, Voth DE, Omsland A, Gilk SD, Williams KP, Sobral BW, Kupko JJ, Porcella SF: Comparative Genomics Reveal Extensive Transposon-Mediated Genomic Plasticity and Diversity among Potential Effector Proteins within the Genus Coxiella. Infect Immun. 2009, 77: 642-656. 10.1128/IAI.01141-08.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  23. Shannon JG, Heinzen RA: Infection of human monocyte-derived macrophages with Coxiella burnetii. Methods Mol Biol. 2008, 431: 189-200. full_text.

    CAS  PubMed  Google Scholar 

  24. Howe D, Shannon JG, Winfree S, Dorward DW, Heinzen RA: Coxiella burnetii phase I and II variants replicate with similar kinetics in degradative phagolysosome-like compartments of human macrophages. Infect Immun. 2010, 78: 3465-3474. 10.1128/IAI.00406-10.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. Bernardo A, Bai G, Guo P, Xiao K, Guenzi A, Ayoubi P: Fusarium graminearum-induced changes in gene expression between Fusarium head blight-resistant and susceptible wheat cultivars. Functional & Integrative Genomics. 2007, 7: 69-77.

    Article  CAS  Google Scholar 

  26. Galindo RC, Ayoubi P, García-Pérez AL, Naranjo V, Kocan KM, Gortazar C, de la Fuente J: Differential expression of inflammatory and immune response genes in sheep infected with Anaplasma phagocytophilum. Veterinary Immunology and Immunopathology. 2008, 126: 27-34. 10.1016/j.vetimm.2008.06.004.

    Article  CAS  PubMed  Google Scholar 

  27. Galindo RC, Ayoubi P, Naranjo V, Gortazar C, Kocan KM, de la Fuente J: Gene expression profiles of European wild boar naturally infected with Mycobacterium bovis. Veterinary Immunology and Immunopathology. 2009, 129: 119-125. 10.1016/j.vetimm.2008.12.012.

    Article  CAS  PubMed  Google Scholar 

  28. Ren Q, Robertson SJ, Howe D, Barrows LF, Heinzen RA: Comparative DNA Microarray Analysis of Host Cell Transcriptional Responses to Infection by Coxiella burnetii or Chlamydia trachomatis. Annals of the New York Academy of Sciences. 2003, 990: 701-713. 10.1111/j.1749-6632.2003.tb07447.x.

    Article  CAS  PubMed  Google Scholar 

  29. Butchar JP, Cremer TJ, Clay CD, Gavrilin MA, Wewers MD, Marsh CB, Schlesinger LS, Tridandapani S: Microarray Analysis of Human Monocytes Infected with Francisella tularensis Identifies New Targets of Host Response Subversion. PLoS ONE. 2008, 3: e2924-10.1371/journal.pone.0002924.

    Article  PubMed Central  PubMed  Google Scholar 

  30. Huang DW, Sherman BT, Lempicki RA: Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat Protocols. 2008, 4: 44-57. 10.1038/nprot.2008.211.

    Article  Google Scholar 

  31. Huang B, Troese MJ, Ye S, Sims JT, Galloway NL, Borjesson DL, Carlyon JA: Anaplasma phagocytophilum APH_1387 Is Expressed throughout Bacterial Intracellular Development and Localizes to the Pathogen-Occupied Vacuolar Membrane. Infect Immun. 2010, 78: 1864-1873. 10.1128/IAI.01418-09.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  32. Armougom F, Henry M, Vialettes B, Raccah D, Raoult D: Monitoring Bacterial Community of Human Gut Microbiota Reveals an Increase in Lactobacillus in Obese Patients and Methanogens in Anorexic Patients. PLoS ONE. 2009, 4: e7125-10.1371/journal.pone.0007125.

    Article  PubMed Central  PubMed  Google Scholar 

  33. Rozen SSH, (Ed.): Primer3 on the WWW for general users and for biologist programmers. Bioinformatics Methods and Protocols: Methods in Molecular Biology. 2000, Totowa NJ: Humana Press

  34. Livak K, Schmittgen T: Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2-ΔΔCT Method. Methods. 2001, 25: 402-408. 10.1006/meth.2001.1262.

    Article  CAS  PubMed  Google Scholar 

  35. Howe D, Melnicakova J, Barak I, Heinzen RA: Maturation of the Coxiella burnetii parasitophorous vacuole requires bacterial protein synthesis but not replication. Cell Microbiol. 2003, 5: 469-480. 10.1046/j.1462-5822.2003.00293.x.

    Article  CAS  PubMed  Google Scholar 

  36. Roy CR, Mocarski ES: Pathogen subversion of cell-intrinsic innate immunity. Nat Immunol. 2007, 8: 1179-1187. 10.1038/ni1528.

    Article  CAS  PubMed  Google Scholar 

  37. Rahman MM, McFadden G: Modulation of Tumor Necrosis Factor by Microbial Pathogens. PLoS Pathog. 2006, 2: e4-10.1371/journal.ppat.0020004.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Rossi D, Zlotnik A: The Biology of Chemokines and their Receptors. Annual Review of Immunology. 2000, 18: 217-242. 10.1146/annurev.immunol.18.1.217.

    Article  CAS  PubMed  Google Scholar 

  39. Eliasson MEA: Antibacterial Chemokines - Actors in Both Innate and Adaptive Immunity. Contrib Microbiol. 2008, 15: 101-117. full_text.

    Article  CAS  PubMed  Google Scholar 

  40. Craig-Mylius K, Weber GF, Coburn J, Glickstein L: Borrelia burgdorferi, an extracellular pathogen, circumvents osteopontin in inducing an inflammatory cytokine response. J Leukoc Biol. 2005, 77: 710-718. 10.1189/jlb.0604356.

    Article  CAS  PubMed  Google Scholar 

  41. Soraya Meghari BD, Capo Christian, Georges Grau, Raoult Didier, Mege Jean-Louis: Coxiella burnetii stimulates production of RANTES and MCP-1 by mononuclear cells: modulation by adhesion to endothelial cells and its implication in Q fever. European Cytokine Network. 2006, 17 (4): 253-259.

    PubMed  Google Scholar 

  42. Gao LY, Abu Kwaik Y: Hijacking of apoptotic pathwaysby bacterial pathogens. Microbes and Infection. 2000, 2: 1705-1719. 10.1016/S1286-4579(00)01326-5.

    Article  CAS  PubMed  Google Scholar 

  43. Häcker G, Fischer SF: Bacterial anti-apoptotic activities. FEMS Microbiology Letters. 2002, 211: 1-6. 10.1016/S0378-1097(02)00654-7.

    Article  PubMed  Google Scholar 

  44. Ashkenazi A: Targeting death and decoy receptors of the tumour-necrosis factor superfamily. Nat Rev Cancer. 2002, 2: 420-430. 10.1038/nrc821.

    Article  CAS  PubMed  Google Scholar 

  45. Meconi S, Jacomo V, Boquet P, Raoult D, Mege JL, Capo C: Coxiella burnetii Induces Reorganization of the Actin Cytoskeleton in Human Monocytes. Infect Immun. 1998, 66: 5527-5533.

    PubMed Central  CAS  PubMed  Google Scholar 

  46. Meconi S, Capo C, Remacle-Bonnet M, Pommier G, Raoult D, Mege JL: Activation of Protein Tyrosine Kinases by Coxiella burnetii: Role in Actin Cytoskeleton Reorganization and Bacterial Phagocytosis. Infect Immun. 2001, 69: 2520-2526. 10.1128/IAI.69.4.2520-2526.2001.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  47. Aguilera M, Salinas R, Rosales E, Carminati S, Colombo MI, Beron W: Actin dynamics and Rho GTPases regulate the size and formation of parasitophorous vacuoles containing Coxiella burnetii. Infect Immun. 2009, 77: 4609-4620. 10.1128/IAI.00301-09.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  48. Olakowski M, Tyszkiewicz T, Jarza M, Król R, Oczko-Wojciechowska M, Kowalska M, Kowal M, Gala G, Kajor M, Lange D: NBL1 and anillin (ANLN) genes over-expression in pancreatic carcinoma. Folia Histochemica et Cytobiologica. 2009, 47: 249-255. 10.2478/v10042-009-0031-1.

    Article  PubMed  Google Scholar 

  49. Ikonen E: Cellular cholesterol trafficking and compartmentalization. Nat Rev Mol Cell Biol. 2008, 9: 125-138. 10.1038/nrm2336.

    Article  CAS  PubMed  Google Scholar 

  50. Xiong Q, Lin M, Rikihisa Y: Cholesterol-Dependent Anaplasma phagocytophilum Exploits the Low-Density Lipoprotein Uptake Pathway. PLoS Pathog. 2009, 5: e1000329-10.1371/journal.ppat.1000329.

    Article  PubMed Central  PubMed  Google Scholar 

  51. Zhang W-Y, Gaynor PM, Kruth HS: Apolipoprotein E Produced by Human Monocyte-derived Macrophages Mediates Cholesterol Efflux That Occurs in the Absence of Added Cholesterol Acceptors. Journal of Biological Chemistry. 1996, 271: 28641-28646. 10.1074/jbc.271.45.28641.

    Article  CAS  PubMed  Google Scholar 

  52. Laskowitz DT, Lee DM, Schmechel D, Staats HF: Altered immune responses in apolipoprotein E-deficient mice. J Lipid Res. 2000, 41: 613-620.

    CAS  PubMed  Google Scholar 

  53. Laffitte BA, Repa JJ, Joseph SB, Wilpitz DC, Kast HR, Mangelsdorf DJ, Tontonoz P: LXRs control lipid-inducible expression of the apolipoprotein E gene in macrophages and adipocytes. Proceedings of the National Academy of Sciences of the United States of America. 2001, 98: 507-512. 10.1073/pnas.021488798.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  54. Van Oosten M, Rensen PCN, Van Amersfoort ES, Van Eck M, Van Dam A-M, Brevé JJP, Vogel T, Panet A, Van Berkel TJC, Kuiper J: Apolipoprotein E Protects Against Bacterial Lipopolysaccharide-induced Lethality. Journal of Biological Chemistry. 2001, 276: 8820-8824. 10.1074/jbc.M009915200.

    Article  CAS  PubMed  Google Scholar 

  55. Yancey PG, Jerome WG, Yu H, Griffin EE, Cox BE, Babaev VR, Fazio S, Linton MF: Severely altered cholesterol homeostasis in macrophages lacking apoE and SR-BI. J Lipid Res. 2007, 48: 1140-1149. 10.1194/jlr.M600539-JLR200.

    Article  CAS  PubMed  Google Scholar 

  56. Brasaemle DL: Thematic review series: Adipocyte Biology. The perilipin family of structural lipid droplet proteins: stabilization of lipid droplets and control of lipolysis. J Lipid Res. 2007, 48: 2547-2559. 10.1194/jlr.R700014-JLR200.

    Article  CAS  PubMed  Google Scholar 

  57. Vogel Hertzel A, Bernlohr DA: The Mammalian Fatty Acid-binding Protein Multigene Family: Molecular and Genetic Insights into Function. Trends in Endocrinology and Metabolism. 2000, 11: 175-180. 10.1016/S1043-2760(00)00257-5.

    Article  CAS  Google Scholar 

  58. August A: IL-2-inducible T-cell kinase (ITK) finds another (dance) partnerhellipTFII-I. European Journal of Immunology. 2009, 39: 2354-2357. 10.1002/eji.200939813.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  59. Frescas D, Pagano M: Deregulated proteolysis by the F-box proteins SKP2 and β-TrCP: tipping the scales of cancer. Nat Rev Cancer. 2008, 8: 438-449. 10.1038/nrc2396.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  60. Keyse S: Dual-specificity MAP kinase phosphatases (MKPs) and cancer. Cancer and Metastasis Reviews. 2008, 27: 253-261. 10.1007/s10555-008-9123-1.

    Article  CAS  PubMed  Google Scholar 

  61. Derrien V, Couillault C, Franco M, Martineau S, Montcourrier P, Houlgatte R, Chavrier P: A conserved C-terminal domain of EFA6-family ARF6-guanine nucleotide exchange factors induces lengthening of microvilli-like membrane protrusions. J Cell Sci. 2002, 115: 2867-2879.

    CAS  PubMed  Google Scholar 

  62. Shim JH, Xiao C, Hayden MS, Lee KY, Trombetta ES, Pypaert M, Nara A, Yoshimori T, Wilm B, Erdjument-Bromage H: CHMP5 is essential for late endosome function and down-regulation of receptor signaling during mouse embryogenesis. The Journal of Cell Biology. 2006, 172: 1045-1056. 10.1083/jcb.200509041.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  63. Howe D, Melnicakova J, Barak I, Heinzen RA: Fusogenicity of the Coxiella burnetii parasitophorous vacuole. Ann N Y Acad Sci. 2003, 990: 556-562. 10.1111/j.1749-6632.2003.tb07426.x.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We wish to thank Drs. Dan Stein, and Clint Krehbiel, and Mr. Rod Mills for technical advice and direction in performing microarrays. We would like to thank Dr. Kent Morgan for technical advice in RT-qPCR analysis. We also thank Dr. Rolf Prade for the critical reading of this manuscript.

This research was supported by National Institutes of Health grant R15 A1072710 (E.I.S.).

Author information

Authors and Affiliations

  1. Department of Microbiology and Molecular Genetics, Oklahoma State University, 307 Life Sciences East, Stillwater, OK, 74078, USA

    Saugata Mahapatra & Edward I Shaw

  2. Department of Biochemistry and Molecular Biology, Oklahoma State University, 246C Noble Research Center, Stillwater, OK, 74078, USA

    Patricia Ayoubi

Authors
  1. Saugata Mahapatra
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Patricia Ayoubi
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Edward I Shaw
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Edward I Shaw.

Additional information

Competing interests

The authors declare that they have no competing interests.

Authors' contributions

SM assisted in experimental design, carried out the experiments, participated in the microarray data analysis, and drafted the manuscript. PA assisted in experimental design of microarray assays and microarray data analysis. ES conceived the study, and participated in its design and coordination, and helped to draft the manuscript. All authors read and approved the final manuscript.

Electronic supplementary material

12866_2010_1200_MOESM1_ESM.XLSX

Additional file 1: Tables S1.A-I. Excel file containing Tables S1.A through S1.I as individual tab-accessible tables within a single file (Supplemental Table S1.A-I). (XLSX 898 KB)

12866_2010_1200_MOESM2_ESM.DOC

Additional file 2: Figure S1. Biological function assignments of genes differentially expressed in mock and CAM treated THP-1 cells infected with C. burnetii. Both sets of microarray data (Additional file 1-Supplemental Tables S1.A and S1.B) containing differentially expressed genes for mock and CAM treated C. burnetii infections of THP-1 cells were annotated using DAVID to extract the biological functions of the listed genes. The X axis shows the percentage of differentially expressed genes associated with each annotation term while the Y axis shows the prominent biological functions (annotation terms) obtained through functional annotation of the differentially expressed genes. P-values for each annotation term are calculated using modified Fisher's exact test. A P-value cut off 0.05 or less has been used to identify biological functions. Top panel, shows the common host cell functions regulated under both conditions (mock and CAM treatment). Middle panel shows the major cellular functions affected only in C. burnetii infected THP-1 cells undergoing mock treatment. Bottom panel shows the crucial host cell functions influenced only in C. burnetii infected THP-1 cells undergoing CAM treatment. (DOC 68 KB)

Authors’ original submitted files for images

Rights and permissions

Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and permissions

About this article

Cite this article

Mahapatra, S., Ayoubi, P. & Shaw, E.I. Coxiella burnetii Nine Mile II proteins modulate gene expression of monocytic host cells during infection. BMC Microbiol 10, 244 (2010). https://doi.org/10.1186/1471-2180-10-244

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2180-10-244

Keywords

BMC Microbiology

ISSN: 1471-2180

Contact us