Previous Article | Next Article ![]()
Journal of Virology, April 2007, p. 3816-3826, Vol. 81, No. 8
0022-538X/07/$08.00+0 doi:10.1128/JVI.02425-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.

Department of Molecular Microbiology and Immunology and The Vaccine and Gene Therapy Institute, Oregon Health and Science University, Portland, Oregon 97239,1 Department of Surgery, Oregon Health and Science University, Portland, Oregon 97239,2 Portland VA Medical Center, Portland, Oregon 97239,3 Department of Medical Microbiology, University Maastricht, Maastricht, The Netherlands4
Received 3 November 2006/ Accepted 8 January 2007
|
|
|---|
|
|
|---|
In cultured cells, CMV gene expression occurs in three kinetic phases designated immediate early (IE), early (E), and late (L) (21). These phases were defined through the use of drugs that target either cellular translation or the viral DNA polymerase. Transcription of IE genes begins shortly following virus penetration and uncoating and does not require de novo protein synthesis. The IE proteins enhance transcription from both host and viral promoters, leading to the expression of the E genes, which include genes involved in viral DNA replication, such as the viral DNA polymerase gene (UL54). L viral genes are expressed following viral DNA synthesis, thus making expression of this class of genes sensitive to inhibitors of the viral DNA polymerase. The L viral-gene kinetic class is generally involved in viral DNA packaging, assembly, and egress. Recently, virus-specific DNA microarray analysis has been utilized to classify global viral gene transcription of herpes simplex virus type 1 and HCMV (8, 11, 12, 25). Goodrum et al. used HCMV-specific microarrays to examine HCMV gene expression in latently infected CD34+ hematopoietic progenitors (11, 12). A subset of HCMV genes representing IE, E, and L stages of infection were detected in these latently infected cell cultures at 1, 5, and 8 days postinfection. However, in these experiments, the investigators did not identify an obvious pattern of viral-gene expression that represented a potential kinetic class of latency genes. The HCMV genes expressed during the establishment of latency in this system may represent an initial burst of expression followed by viral quiescence in the cell. Interestingly, the extent of viral-gene expression was dependent upon the status of cellular differentiation. An important question related to these studies concerns the relevance of HCMV gene expression prior to the development of latency and how this relates to viral-gene expression during viral persistence in vivo.
The RCMV-rat model has proven to be an important tool for studying mechanisms involved in CMV-related diseases, including the effect of the virus on accelerated solid-organ transplant rejection. Infection of immunocompetent rats leads to a limited subclinical infection that typically persists in the columnar epithelial cells of the submandibular glands (SMG) for up to 180 days postinfection (p.i.) (2, 3). RCMV infection of immunocompromised rats causes a widespread infection of most tissues, infecting a number of different cell types, including endothelial cells (EC), epithelial cells, macrophages, polymorphonuclear cells, and fibroblasts. In this report, we profiled viral-gene expression utilizing microarrays containing DNA oligonucleotides specific for the 167 known RCMV ORFs (19). We compared viral-gene expression in cultured rat fibroblasts, vascular smooth muscle cells (SMC), and aortic EC to the expression profiles observed in the tissues from RCMV-infected allograft recipients, including SMG (the site of virus persistence), allograft heart, lung, liver, kidney, and spleen. We observed that the pattern of RCMV gene expression in vivo differs dramatically from that in RCMV-infected cultured cells. Our data suggest that RCMV gene expression is highly tissue specific. Importantly, the majority of the RCMV genes expressed at high levels in tissues are not known to be involved in virus replication but may represent the profile of immune modulator genes required for CMV persistence.
|
|
|---|
RCMV infection of tissue culture cells. Primary aortic SMC, aortic EC, and REFs were isolated from F344 rats and maintained in Dulbecco's modified Eagle's medium supplemented with 10% fetal calf serum and penicillin-streptomycin-glutamine (20, 26). The EC phenotype was confirmed by staining these cells with antibodies directed against von Willebrand factor. These cells exhibited characteristics and morphology typical of their origin when maintained in culture beyond passage 15 (data not shown). REFs, SMC, and EC were plated on 60-mm dishes (Costar) and infected with RCMV upon confluence at a multiplicity of infection equal to 0.1. After 2 hours, the cells were washed three times with PBS. The infected cells were harvested at 4, 8, 16, 24, 36, and 48 h p.i. by first washing them once with PBS and then adding 1 ml of Trizol reagent. The reagent was allowed to lyse the cells for 5 min. Subsequently, the samples were stored frozen at 80°C.
Preparation of rat tissues. In order to determine viral-gene expression in vivo, we isolated RNA from the SMG, lungs, liver, kidney, spleen, and graft hearts from allograft recipients (26). For these studies, adult male F344 rats (Harlan Sprague-Dawley, Indianapolis, IN) served as allogeneic heart donors, while Lewis rats (Harlan Sprague-Dawley) served as solid-organ transplant recipients (26). To prevent acute rejection, Lewis recipients were treated with low-dose cyclosporine for 10 days (5 mg/kg of body weight/day; Sandoz Inc., East Hanover, NJ). In all animals, the native heart remained intact. Acute RCMV infection was accomplished by injecting 1 x 105 PFU of RCMV intraperitoneally on day 1 following the heart transplant operation. The tissues were harvested from allograft recipients at 7, 14, 21, and 28 days posttransplantation. Total RNA was prepared from 0.25 g of rat tissues using the Trizol method. All animals were housed in the Portland VA Medical Center animal facilities in a specific-pathogen-free room. This facility is AAALAC accredited and complies with the requirements for animal care as stipulated by the U.S. Department of Agriculture and HHS.
RCMV microarray techniques. The Spotted Microarray Core at the Vaccine and Gene Therapy Institute, Oregon Health and Science University (http://www.ohsu.edu/gmsr/smc/), printed the RCMV microarray used for this study. Each slide contained two unique 70-mer antisense oligonucleotides for each of the 167 predicted viral ORFs (29) and an additional 2,925 rat cellular genes. The RCMV gene slides were printed on aminosilane-coated glass slides using the Cartesian PixSys 5500 XL microarray printer (Genomic Solutions; located at the Spotted Microarray Core), and each cDNA was spotted twice to account for intrachip variation. The oligonucleotides were chosen with a 3' bias and compared against the NCBI database for alignment to the genome sequence of the RCMV Maastricht strain and for possible cross-hybridization to cellular sequences.
First-strand cDNA was synthesized from 2 µg of total RNA using 1.0 µM oligo(dT)-T7 primer [GGCCAGTGAATTGTAATACGACTCACTATAGGG (A)24] and 200 U Superscript III reverse transcriptase (Invitrogen). Doubled-stranded cDNA was generated by the addition of second-strand buffer (Invitrogen) according to the manufacturer's protocol and purified by phenol-chloroform-isoamyl alcohol extraction. The cDNA was amplified for one round using the T7 Megascript Kit (Ambion) to produce amplified RNA (aRNA), which was purified using the RNeasy Mini kit (QIAGEN). Five micrograms of aRNA was reverse transcribed with 300 U Superscript III reverse transcriptase in the presence of 9 µg of random hexamers; 0.5 mM (each) dATP, dGTP, and dCTP; 0.35 mM dTTP; and 0.15 mM aminoallyl dUTP. aRNA was hydrolyzed with 0.3 N NaOH (70°C for 10 min) and then neutralized with 0.625 M HEPES (pH 7.5). Aminoallyl-labeled cDNA was purified using the Cyscribe GFX Purification Kit (Amersham) and coupled to Cy3 or Cy5 fluorescent dye (Amersham) through the incorporated aminoallyl UTP. The labeled cDNA was purified using the Cyscribe GFX Purification Kit (Amersham) and then hybridized to microarray slides in the presence of Slide Hybe no. 2 (Ambion) at 65°C for 18 h. The slides were washed consecutively with 0.5x SSC (1x SSC is 0.15 M NaCl plus 0.015 M sodium citrate)-0.1% sodium dodecyl sulfate, 0.06x SSC-0.1% sodium dodecyl sulfate, and 0.06x SSC for 5 min at room temperature. All slides were scanned using a Bioscience GeneScan Lite laser scanner and analyzed using Imagene digital processing software and Genesight data analysis software (Biodiscovery). Local background values were subtracted using Imagene 3.5.1 software, and genes determined to be "on" had values twice that of the background.
Quantitative RT-PCR detection of RCMV gene expression. Real-time reverse transcriptase (RT) PCR was used to confirm and quantify the RCMV gene expression results obtained using microarray analysis. cDNA was generated as described above using Superscript III RT (Invitrogen) and analyzed by real-time PCR techniques using primer sets recognizing RCMV gene sequences (Table 1). The primer sets were identified using Primer Express software (Applied Biosystems). RT-PCRs were performed using the SYBR Green PCR Master Mix (Applied Biosystems), except for PCRs for R78, r119.1, r119.2, r151, and r152.4, which were performed using specific TaqMan probes and Master Mix. Following thermal activation of AmpliTaq Gold (10 min at 95°C), a total of 40 cycles were performed (15 s at 95°C and 1 min at 58°C) using the ABI Prism 7700 Sequence Detection System (Applied Biosystems). Plasmid clones containing each gene fragment were used as positive controls and quantification standards. PCR results were analyzed using ABI Prism 7700 Sequence Detection Software. The sensitivity of detection of this assay was <100 plasmid copies for all of the tested RCMV genes.
|
View this table: [in a new window] |
TABLE 1. Quantitative PCR primer sequences
|
|
|
|---|
In order to determine whether RCMV gene expression is cell type specific, rat fibroblasts, aortic SMC, and aortic EC were infected with RCMV and harvested at 4, 8, 16, 24, 36, and 48 h p.i. Then, RNA was purified from the cells and reverse transcribed into doubled-stranded cDNA. The cDNA was labeled and hybridized to RCMV microarray slides for 18 h. The slides were washed, scanned, and analyzed. A typical microarray analysis of RCMV gene expression in infected REFs is shown in Fig. 1. RCMV gene expression profiles for infected REFs, SMCs, and ECs at 4, 16, and 48 h p.i. are depicted in Fig. 2 as the average intensity above background. At 4 h p.i., only two genes, r123Exon4 (IE1) and r128, were highly expressed in all cell types. However, by 16 h p.i., nearly 80% of RCMV genes were expressed at detectable levels. Ninety-six viral genes (60% of the predicted viral ORFs) were expressed with early kinetics in RCMV-infected REFs treated with phosphonoacetic acid and harvested at 48 h p.i. (Table 2). Maximal RCMV gene expression occurs at 36 and 48 h p.i., when over 87% of the viral genes are expressed (Fig. 2 and Table 2). Since labeled RCMV DNA bound to all of the viral oligonucleotides on the chip (data not shown), it is likely that the 10 to 13% of RCMV genes that failed to be detected represent either genes with unknown splicing properties or genes that are expressed at very low levels. These genes were also not detected in RNA samples isolated from in vivo-infected tissues, as described below. A positive signal on our RCMV DNA microarray required that any given gene express 5,000 to 10,000 copies of mRNA in 2 µg of starting total RNA (data not shown). This was determined by comparing quantitative real-time RT-PCR (QRT-PCR) evaluation of the expression of at least 15 RCMV genes to the microarray results from 10 different samples in which gene expression varied for the particular gene of interest from negative to positive. Interestingly, according to our microarray results, there are at least seven genes expressed exclusively in ECs, one in SMCs, and three in REFs. Our findings suggest that, other than a small subset of genes, RCMV gene expression is not cell type specific in vitro.
![]() View larger version (64K): [in a new window] |
FIG. 1. Microarray analysis of RCMV gene expression. Each chip contained two unique oligonucleotides for each viral gene, and these oligonucleotides were spotted in duplicate. The RCMV oligonucleotides were distributed over four positions on each chip depicted in grids A to D. The yellow lines outline the positions of the RCMV-specific oligonucleotides. The data shown represent microarray analysis of RNA extracted from RCMV-infected REFs at 4, 8, 16, 24, 36, and 48 h p.i.
|
![]() View larger version (25K): [in a new window] |
FIG. 2. RCMV in vitro gene expression. Fluorescence intensities from microarray analysis of RCMV RNAs isolated from infected REFs (A), SMC (B), and EC (C) harvested at 4, 16, and 48 h p.i. The RNA was amplified, and cDNA samples were labeled and hybridized to the RCMV microarray chips containing oligonucleotides specific for all of the known viral genes.
|
|
View this table: [in a new window] |
TABLE 2. Classification of RCMV gene expression in cultured rat fibroblasts
|
![]() View larger version (12K): [in a new window] |
FIG. 3. RCMV in vivo gene expression. Fluorescence intensities from microarray analysis of RCMV mRNA isolated from infected rat SMG that were harvested at days 7, 14, 21, and 28 days p.i. At each time point, SMG samples were isolated from four individual infected rats and analyzed on separate microarray chips. The data shown include gene intensities acquired from each of these four separate arrays.
|
![]() View larger version (18K): [in a new window] |
FIG. 4. Confirmation of in vivo RCMV gene expression. RT-PCR TaqMan analysis was used to confirm and quantify viral-gene expression in RNA samples from (A) in vivo-infected SMG at 7, 14, 21, and 28 days p.i. and (B) in vitro-infected rat fibroblasts. Primers specific for the RCMV genes R75 (gH), R114, R116, r119.1, r119.2, r119.4, R123 (IE1), and r151 were used to quantify viral-gene expression. RNA samples were normalized to expression of L32 (cellular ribosomal protein), and the relative copy numbers were determined using plasmids containing each viral gene. The error bars indicate standard deviations.
|
|
View this table: [in a new window] |
TABLE 3. Detection of RCMV DNA
|
![]() View larger version (14K): [in a new window] |
FIG. 5. Microarray analysis of RCMV gene expression in infected rat tissues. Total RNA was extracted from RCMV-infected spleen, lung, kidney, and heart allograft at 7 days p.i.; SMG at 21 days p.i. The RNA was processed and analyzed using our RCMV microarray chips (n = 4). The mean gene intensity from each of the four biological replicates is plotted on the y axis, and RCMV gene number on the x axis.
|
|
View this table: [in a new window] |
TABLE 4. RCMV gene expression in rat tissues
|
![]() View larger version (22K): [in a new window] |
FIG. 6. RCMV gene expression is tissue specific. RT-PCR TaqMan analysis was used to confirm and quantify viral-gene expression in RNA samples from in vivo-infected native heart, allograft heart, lung, liver, kidney, spleen, and SMG. All tissues were harvested at 7 days p.i., except SMG (21 days p.i.). RCMV-infected REFs harvested at 24 h p.i. were used for in vitro-in vivo comparisons. Primers specific for the RCMV genes R78, r119.1, r119.2, r151, and r152.4 were used to quantify viral-gene expression. RNA samples were normalized to expression of L32 (cellular ribosomal protein), and the relative copy numbers were determined using plasmids containing each viral gene. The limit of detection for this assay was 100 copies.
|
|
|
|---|
The first global analysis of CMV gene expression was performed by Chambers et al. using microarray chips designed to 151 of the 200 known HCMV ORFs (8). This study demonstrated the feasibility of microarray technology to monitor the gene expression profiles of large complex viruses, such as the herpesviruses. They determined the temporal kinetic class of each of the HCMV ORFs, including those of many uncharacterized ORFs. An interesting finding of this study was that many of the genes in a specific temporal class contain common potential regulatory motifs within their promoter regions, suggesting that HCMV can express its genes with specific transcriptional programs, much like what is observed in tissues during development. Our results demonstrate that the in vivo gene profiles for RCMV are different from those observed in cultured cells and that the viral-gene expression pattern is tissue specific. An explanation for our findings of limited in vivo viral-gene expression is that the multiplicity of infection in the tissues is low or that clearance of the productively infected cells leaves only abortively infected cells that express fewer genes to high levels. Our data do not support or directly refute these scenarios. On the contrary, we detected the highest viral titers in the SMG between days 21 and 28, during the time of limited viral-gene expression. Thus, another explanation may involve the number of different infected cell types per tissue; the more types of infected cells, the wider the viral-gene profile. Interestingly, infection in the SMG is limited to the striated duct cells (15), and the number of highly expressed genes is limited to 41 in this tissue. Other tissues, like the spleen, display a wider viral-gene profile, and multiple cell types may be infected. However, the fact that RCMV gene expression occurs in a tissue-specific manner suggests that there exists a level of transcriptional control at the tissue level. This tissue specificity suggests that the virus may have multiple transcriptional programs, depending upon the cellular environment, or that other posttranscriptional events, such as mRNA stability, may be important to elicit this effect. What we do not yet know is whether the virus and/or the host cell determines this level of control. The ability of the virus to control gene expression in a tissue-specific manner may be regulated by specific motifs within the viral promoters that are active in some tissues but not in others. This level of transcriptional control does not exist in vitro for RCMV-infected cells, where eventually almost all of the viral ORFs are expressed to a detectable level. We were unable to detect any obvious regulatory-motif pattern in the promoters of the RCMV genes that are highly expressed in vivo. However, a more intensive study is warranted to identify these regions in order to determine the selective mechanisms of in vivo gene expression. An interesting parallel in the ability of CMV to regulate viral-gene expression is observed during natural human papillomavirus infections of the skin. Papillomaviruses contain only two promoters, early and late. The early promoter is active in many different cell types but appears to be most active in keratinocytes, suggesting that the promoter is cell/tissue type specific (2, 19, 30). The late promoter is differentiation dependent and is activated only during terminal differentiation of the epithelial cells of the granular layer (19). An important question that arises from virus gene expression studies with papillomavirus and those we present here is what are the cell-type-specific factors that promote the activation of some viral genes and repression of others?
Adamo et al., Bresnahan et al., Goodrum et al., and Heider et al. utilized similar HCMV microarrays, containing 191 viral ORFs, to monitor viral-gene expression on a global level (1, 4, 11-13). Utilization of these HCMV microarrays to identify the viral-gene expression patterns in specific subsets of CD34+ hematopoietic stem cells demonstrated that HCMV infection of these cells produced an initial transient burst of gene expression, followed by a period of viral transcriptional quiescence and genome maintenance. The infected CD34+ cells were capable of reactivating virus when cocultured with fibroblasts. The HCMV expression profiles in CD34+ cells parallel our in vivo RCMV gene expression profiles on a number of levels. First, gene expression in the CD34+ cells was significantly different from that in HCMV-infected fibroblasts. Second, viral expression in CD34+ cells was very limited and did not correspond to conventional IE, E, and L viral-gene expression profiles. Finally, many of the viral genes expressed in the CD34+ stem cells are not directly involved in virus replication. The significance of this early burst of viral-gene expression is not understood. However, it might play a role in the establishment of latency. Clearly many, if not all, of the herpesviruses can regulate their gene expression patterns during persistence and latency. For example, Epstein-Barr virus infection of B cells results in one of five transcriptional programs, depending upon the activation and differentiation statuses of the host cell (reviewed in reference 27). Most of these transcriptional programs are involved in maintaining persistence of the viral genome during periods of cell quiescence and during cellular replication. In addition, herpes simplex virus type 1 expresses the viral latency-associated transcript during all stages of replication, but it is exclusively expressed during latent infections of neurons (reviewed in reference 24). Expression of the latency-associated transcript is required for cell survival during reactivation. Similarly, CMV expression in the SMG (a major site of virus persistence), even in the presence of high levels of viral genome, is tightly regulated and highly skewed. The viral genes expressed in the SMG may be involved in preserving the infected host cell, allowing immune escape, and/or promoting transmission to a new host. Thus, a common theme among these viruses is the ability to control viral-gene expression as a method of persistence in the infected host, whether it is during latency or during smoldering infection states, both of which occur in a CMV-infected host.
Our in vivo observations indicate that gene expression of the immune modulators occurs at higher levels than previously predicted based upon in vitro studies. It may be that this differential level of in vivo viral-gene expression between the two gene groups responsible for immune evasion and viral replication allows the virus to persist by turning over small amounts of infectious virus while remaining relatively undetected by the host immune system. A relevant question that surfaces from these findings is why the virus specifically overexpresses certain viral genes and not others. For example, is there relevance to the fact that in our study the RCMV-encoded Fc receptor, r138, was highly expressed in the spleen, liver, and lung? In these tissues, r138 is expressed at nearly the same level as r119.2, whereas in the SMG, r138 is expressed at 30-fold lower levels than r119.2 (Fig. 5 and Table 4). Is the virus more prone to antibody-mediated immune pressures in the lung, liver, and spleen than in SMG tissues? Our findings suggest that the virus does not produce its full arsenal of immune modulator genes in every infected cell type in vivo but rather selectively regulates their respective gene expressions. The host response to viral infection is probably not the same in every tissue. Thus, the ability of CMV immune evasion genes involved in preventing immune recognition would similarly need to be specific for each of these types of responses. Consequently, the virus would need to express multiple transcriptional programs appropriate for the specific host cell type and the type of immune response prompted by the infected cell and/or by its juxtaposition to the immune system.
In conclusion, we explored the characteristics of RCMV gene expression in cultured cells and in tissues from a rat cardiac transplant model. Combined, our findings indicate that viral-gene expression is highly complex. One cannot predict in vivo viral-gene expression solely based upon the in vitro viral-transcriptome analysis. In fact, most studies aimed at identifying viral expression during latency and reactivation have focused on the IE proteins, which we found to be expressed at very low levels compared to the other viral genes likely involved in immune modulation. The most efficient and effective way for CMV to remain undetected by the host during persistence is by regulating viral-gene expression in such a way as to overexpress the immune evasion genes while repressing viral genes involved in replication. One of the reasons that CMV carries so many genes might be that different gene expression programs are used in different cell and tissue types. This is also highly relevant for the analysis of immune modulators. If the wrong tissues and organs are studied, the effect might be missed. Identifying the viral transcriptomes of different tissues and at different times associated with virus-induced disease, such as accelerated allograft rejection, will aid in the design of novel targeted therapeutics.
Published ahead of print on 24 January 2007. ![]()
|
|
|---|
12. J. Virol. 78:8382-8391.This article has been cited by other articles:
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»