Abstract
Pseudorabies virus (PRV) is an alphaherpesvirus related to the human pathogens herpes simplex virus type 1 (HSV-1) and varicella-zoster virus. PRV is capable of infecting and killing a wide variety of mammals. How it avoids innate immune defenses in so many hosts is not understood. While the anti-interferon (IFN) strategies of HSV-1 have been studied, little is known about how PRV evades the IFN-mediated immune response. In this study, we determined if wild-type PRV infection can overcome the establishment of a beta interferon (IFN-β)-induced antiviral state in primary rat fibroblasts. Using microarray technology, we found that the expression of a subset of genes normally induced by IFN-β in these cells was not induced when the cells were simultaneously infected with a wild-type PRV strain. Expression of transcripts associated with major histocompatibility complex class I antigen presentation and NK cell activation was reduced, while transcripts associated with inflammation either were unaffected or were induced by viral infection. This suppression of IFN-stimulated gene expression occurred because IFN signal transduction, in particular the phosphorylation of STAT1, became less effective in PRV-infected cells. At least one virion-associated protein is involved in inhibition of STAT1 tyrosine phosphorylation. This ability to disarm the IFN-β response offers an explanation for the uniform lethality of virulent PRV infection of nonnatural hosts.
Pseudorabies virus (PRV) is a swine alphaherpesvirus related to the human pathogens herpes simplex virus type 1 (HSV-1) and HSV-2 and varicella-zoster virus (30). PRV has a broad host range, infecting most mammals except higher-order primates. Wild-type PRV infection causes primarily respiratory and reproductive disease with low mortality in its natural host, the adult pig. Infection of nonnatural hosts leads to neurological symptoms and is invariably fatal. Two explanations for the high mortality of nonnatural hosts have been proposed: either the immune system fails to control the infection and viral replication destroys cells and tissues or the immune system responds too strongly and a systemic inflammatory response overwhelms the host (2). The interferon (IFN)-mediated innate immune system is the front line of host defense against viral infections (34, 35). The IFNs are a family of secreted cytokines involved in establishing an antiviral state in cells. Type I (alpha and beta) IFNs (IFN-α and IFN-β) are produced by cells as a direct response to viral infection. After secretion, type I IFN binds to its cognate receptor on the cell surface, and in response to this binding, JAK1 and TYK2 kinases associated with the cytoplasmic portion of the receptor become activated and phosphorylated. The activated kinases, in turn, phosphorylate signal transducer and activator of transcription 1 (STAT1) and STAT2 transcription factors. Phosphorylated STATs form a complex and translocate to the nucleus, where they induce the transcription of genes containing IFN response elements in their upstream regulatory sequences. Many IFN-stimulated gene (ISG) products have direct effects on viral transcription and translation, while others modulate additional facets of the innate and adaptive immune responses.
Because IFNs have potent antiviral properties, viruses have evolved gene products to interfere with all components of the IFN system, including production of IFN, IFN signaling, and the functioning of ISG products (13, 15). HSV-1 interaction with the IFN response has been well studied (21). The HSV-1 proteins γ34.5 and Us11 block the action of double-stranded RNA (dsRNA)-dependent protein kinase (PKR), one of the IFN-induced antiviral enzymes (3, 11, 31). HSV-1 ICP0 prevents the transcriptional induction of ISGs (6), and the ICP0 RING domain blocks activated IFN regulatory factor 3 (IRF-3) and IRF-7 (17). JAK and STAT phosphorylation are also inhibited by HSV-1 infection (39). Although PRV and HSV-1 are members of the same virus family, they are distantly related to each other at the sequence level (19). For example, the PRV genome lacks homologs to either γ34.5 or Us11. Furthermore, while PRV EP0 is considered a homolog of HSV-1 ICP0 by virtue of its location in the genome and its activation of gene expression, crucial differences exist between the two genes in terms of temporal expression and sequence similarity (27, 30). Thus, the precise mechanism by which PRV circumvents the IFN response remains unknown. It is likely that PRV somehow evades the IFN response, since it can establish a productive infection in an immunocompetent host. PRV does not carry the same anti-IFN genes as HSV-1, and thus, studying PRV may uncover novel methods of blocking the antiviral response. These mechanisms are likely to be shared by varicella-zoster virus, a human pathogen whose genome is more similar to that of PRV than HSV-1 (20).
The objective of this study was to determine the effects of PRV infection on the establishment of an IFN-induced antiviral state in rodent cells. The results show that the expression of a subset of genes induced by IFN-β is reduced when wild-type PRV infects the cells at the same time. Wild-type PRV infection also blocks the IFN-induced phosphorylation of STAT1, and it appears that one or more virion-associated proteins are responsible for this inhibition.
MATERIALS AND METHODS
Cells, viruses, and reagents.
PK15 (porcine kidney) cells and rat embryonic fibroblast (REF) cells were maintained in Dulbecco's modified Eagle medium supplemented with 10% fetal bovine serum. REF cells were isolated as described previously (33). Viral infections were carried out in Dulbecco's modified Eagle medium supplemented with 2% fetal bovine serum unless otherwise specified. PRV Becker (PRV Be) is a virulent laboratory strain (29), and PRV Bartha (PRV Ba) is an attenuated vaccine strain (18). PRV EP0-1 was constructed by C. Paulus (University of Regensburg, Regensburg, Germany) and carries an ampicillin resistance gene in place of the EP0 open reading frame. Rat IFN-β (rIFN-β) (PBL Biomedical Laboratories) was used at a final concentration of 1,000 U/ml. Cycloheximide (CHX) (Sigma) and phosphonoacetic acid (PAA) (Sigma) were added to the cells at final concentrations of 100 μg/ml and 400 μg/ml, respectively. The cells were treated with CHX or PAA for 30 min prior to infection. The chemicals were maintained in the medium both during and after the viral-inoculum adsorption.
Microarray experiments.
Passage 12 REF cells were grown to confluence and then growth arrested by maintaining them in the same (spent) medium for 10 days. All subsequent infections and treatments were carried out in spent medium. Growth-arrested fibroblasts were used to increase the reproducibility of the microarray results among replicate samples (33). PRV Be virions were purified as described previously (33). Cells were infected at a multiplicity of infection (MOI) of 5 PFU/cell. Mock-infected cells were treated with an equivalent volume of phosphate-buffered saline (PBS) with 2 mg/ml aprotinin and 1 mM EDTA. After 1 h of adsorption, the viral inocula were replaced with warm spent medium. IFN-β was maintained in the medium both during and after the viral adsorption period. Mock-IFN-treated cells were treated with an equivalent volume of 0.1% bovine serum albumin (BSA) in PBS. At specified time points, the medium was removed and the cells were lysed with TRIzol (Invitrogen). Each condition was replicated in triplicate for each time point.
Total RNA was isolated from TRIzol according to the manufacturer's instructions, and cDNA was synthesized according to the Affymetrix GeneChip Expression Analysis technical manual. cDNA was used as a template for the synthesis of biotin-labeled cRNA. The cRNA targets were hybridized to Affymetrix RGU34A microarrays. Subsequent staining and washing was done in GeneChip fluidics stations using the EukGE-WS2 v4 protocol defined in Microarray Suite 5.0 (Affymetrix). Finally, the microarrays were scanned with a GeneChip scanner system (Agilent).
The expression data were initially subjected to global scaling in Microarray Suite 5.0 with a target intensity of 150. The metrics files were then imported into GeneSpring (Silicon Genetics). The values for the experimental conditions were normalized to the average values for the mock-infected and mock-treated values for the matched time point. The data were then filtered to retain only the probe sets that were present or marginal under all conditions and those whose values varied from the average mock value with a maximum t test P value of 0.05 for at least one experimental condition. Any genes represented by more than one probe set on the microarray were removed during the subsequent classification of genes, and only the highest value is presented. All primary data can be accessed via the Princeton University MicroArray database (http://puma.princeton.edu/).
Real-time PCR.
cDNAs prepared for microarray analysis were used as templates for real-time PCRs. Primers were designed with PrimerExpress 2.0 software (ABI). The 18S rRNA transcript in each sample was used as a reference gene for each gene measured. Primers (100 nM final concentration) and 10-fold dilutions of templates were combined with SYBR Green PCR master mix (ABI). SYBR Green fluorescence was monitored over 40 cycles of PCR with a PRISM 7900HT sequence detection system (ABI). Relative expression levels for each gene were quantified using the standard-curve method described in ABI user bulletin 2 (http://docs.appliedbiosystems.com/pebiodocs/04303859.pdf).
Western blot analysis.
REF cells confluent for at least 3 days were either mock infected or infected at a high MOI (>10). At the time points indicated, rIFN-β was added to the medium, and 30 min later, the cells were washed and harvested in PBS. The cells were then resuspended and lysed by boiling them in denaturing buffer (1% sodium dodecyl sulfate, 50 mM Tris-Cl, pH 7.4, 5 mM EDTA, 1 mM dithiothreitol). The lysates were then diluted 1:1 with nondenaturing buffer (1% Triton X-100, 50 mM Tris-Cl, pH 7.4, 5 mM EDTA, 300 mM NaCl, 1 U/ml DNase I supplemented with protease inhibitors [Roche] and phosphatase inhibitors [Calbiochem]). Protein concentrations were measured with a bicinchoninic acid protein assay kit (Pierce). Equivalent amounts for each sample were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (12.5% gel). Proteins were electrotransferred to nitrocellulose membranes and blocked in Tris-buffered saline (TBS) with 0.1% Tween 20 and 5% milk for 1 h. Primary antibodies were diluted in TBS with 0.1% Tween 20 and 5% BSA and added to the membranes overnight at 4°C. Antibodies to the following proteins were used at these dilutions: actin, 1:5,000 (A5441; Sigma); STAT1, 1:1,000 (sc-346; Santa Cruz Biotechnology); and pSTAT1, 1:500 (971; Cell Signaling Technology). Peroxidase-labeled secondary antibodies (KPL) were used at a dilution of 1:10,000. All washes were done in TBS with 0.1% Tween 20. Proteins were visualized with the ECL Plus Western blotting detection system (GE Healthcare) and quantitated with a Molecular Dynamics Storm 860 phosphorimager and ImageQuant TL software (GE Healthcare). STAT1 and pSTAT1 protein levels were normalized to actin levels for each sample.
Indirect immunofluorescence.
REF cells were grown on glass coverslips and fixed/permeabilized with 100% methanol (−20°C) for 10 min. The cells were quenched with TBS with 0.1% sodium borohydride for 5 min and treated with primary antibodies diluted in TBS with 1% BSA overnight at 4°C. The antibodies were used at the following dilutions: anti-pSTAT1, 1:150; anti-gE, 1:250 (1/14 [7]) and anti-gB, 1:800 (M2 [9]). The cells were incubated with secondary Alexa fluorophores diluted 1:500 and Hoechst stain (Molecular Probes) in TBS with 0.1% BSA. All washes were done with TBS. The coverslips were mounted with Aqua PolyMount (Polysciences, Inc.) and visualized with a Zeiss LSM 510 confocal microscope.
RESULTS
The antiviral effects of IFN-β depend on the timing of IFN addition relative to infection.
We determined if PRV infection could overcome the establishment of an antiviral state when IFN and the virus were added to cells concurrently. Thus, rIFN-β was added to REF cell monolayers at various times pre- and postinfection with PRV Be. Viral yields 24 h postinfection (p.i.) were measured on PK15 cells and compared to those from untreated cells (Fig. 1). IFN-β was chosen for these assays because HSV-1 has been shown to be more sensitive to IFN-β than to most IFN-αs (10, 37). Viral yields decreased about 1,000-fold when cells were pretreated with rIFN-β for 24 h prior to infection. The reduction in yield decreased to about 10-fold when cells were pretreated for only 6 h (Fig. 1). When IFN-β was added an hour after infection, there was minimal reduction in the viral titer. These data suggest that PRV Be replication modulates the induction of an antiviral state by exogenous IFN-β.
Wild-type PRV infection suppresses the expression of IFN-stimulated genes.
Affymetrix RG-U34A microarrays were used to analyze cellular genes whose expression levels changed during PRV Be infection and IFN treatment of REF cells. Growth-arrested REF cells were either (i) mock treated and mock infected, (ii) treated with rIFN-β, (iii) infected with PRV Be purified virions, or (iv) simultaneously treated with IFN and infected with PRV Be. Total RNA was isolated at 3 and 12 h p.i. and processed for hybridization to the microarrays. The expression data were imported into and analyzed with GeneSpring software.
As we were interested in the effect of PRV infection on the expression of IFN-β-stimulated genes, we analyzed mRNAs whose levels were increased threefold or more relative to mock samples by IFN-β treatment and by simultaneous IFN-β treatment and PRV Be infection. At the 3-h time point, the mRNA levels of 52 unique genes were increased by IFN-β treatment, and the levels of 42 of those 52 mRNAs were also increased in the IFN-β-treated and PRV-infected cells (Fig. 2A). At the 12-h time point, the number of genes regulated by IFN-β treatment remained steady, with the mRNA levels of 58 genes being increased three fold or more (Fig. 2B). The levels of only 22 of these mRNAs, however, were also increased in the IFN-β-treated and PRV-infected cells.
To summarize, 81% of genes induced by IFN-β were also induced in infected cells at an early time point, and that number decreased to 38% of genes at a late time point. The levels of gene expression that remained above the threefold cutoff under IFN-β-treated and PRV-infected conditions often were markedly reduced compared to their levels under IFN-β-treated conditions (Tables 1 and 2). We conclude that PRV infection suppresses IFN-β-stimulated gene expression late in the viral replication cycle. It is also interesting to note that the levels of most ISGs were not stimulated in the cells that were infected with PRV Be and not treated with IFN-β (Tables 1 and 2), as has been shown previously (33).
TABLE 1.
Accession no. | Gene | Avg increase (n-fold)a
|
||
---|---|---|---|---|
IFN | IFN + PRV Be | PRV Be | ||
Threefold (or more) increase in IFN | ||||
U09540 | Cytochrome P450 | 5.2 | − | − |
AA891383 | EST (BLAST similarity to proteasome subunit, alpha type 5) | 4.8 | − | − |
AA800786 | EST (BLAST similarity to GATA binding protein 6) | 4.1 | − | − |
S81497 | Lysosomal acid lipase A | 3.9 | − | − |
U69272 | Interleukin-15 | 3.7 | − | − |
AI232284 | EST (BLAST similarity to MHC class I) | 3.7 | − | − |
Z18877 | 2′-5′ oligoadenylate synthetase 1 | 3.3 | − | − |
AA892127 | EST | 3.3 | − | − |
D45250 | Proteasome activator rPA28 subunit beta | 3.1 | − | − |
U18942 | dsRNA-specific adenosine deaminase | 3.0 | − | − |
Threefold (or more) increase in both IFN and IFN + PRV Be | ||||
M80367 | IFN-induced guanylate-binding protein 2 (p67) | 755.9 | 624.1 | − |
U17035 | Small inducible cytokine B subfamily (C-X-C) member 10 | 443.1 | 538.7 | 171.7 |
Y07704 | Best5/viperin | 206.5 | 263.8 | 13.9 |
X52713 | Mx3 | 135.2 | 109.5 | − |
AA799861 | IFN regulatory factor 7 (moderately similar) | 126.0 | 109.6 | − |
AA891944 | EST (BLAST similarity to Mx2) | 123.9 | 89.6 | 4.7 |
X52711 | Mx1 | 95.4 | 60.6 | − |
AI235890 | MHC class Ib RT1-BM1, alpha chain | 43.3 | 35.0 | − |
AF068268 | 2′-5′ oligoadenylate synthetase 2 | 37.8 | 22.0 | − |
AI013987 | PKR | 37.0 | 37.2 | − |
X57523 | Tap1/antigen peptide transporter | 31.3 | 24.1 | − |
AA799569 | EST (BLAST similarity to STAT2) | 25.1 | 20.6 | 5.5 |
D10757 | Proteasome subunit R-RING12 | 24.3 | 15.8 | − |
L23128 | MHC class Ib RT1, H2-TL-like | 18.3 | 16.4 | − |
M34253 | IFN regulatory factor 1 (IRF1) | 16.4 | 17.1 | 3.8 |
X67504 | MHC class I RT1.Au heavy chain precursor | 15.4 | 12.4 | − |
L25387 | Phosphofructokinase C | 13.9 | 15.3 | − |
U16025 | MHC class Ib RT1-M3 | 11.1 | 3.9 | − |
AI177256 | EST | 9.4 | 7.6 | − |
L01624 | Serum/glucocorticoid-regulated kinase | 9.3 | 15.1 | 5.9 |
AA926129 | Manganese-containing superoxide dismutase | 8.0 | 5.1 | − |
D88666 | Phosphatidylserine-specific phospholipase A1 | 6.5 | 10.7 | − |
D10729 | Proteasome subunit beta type 8 precursor | 5.8 | 4.1 | − |
L40364 | MHC class Ib RT1-CE12 | 5.5 | 5.6 | − |
AF029240 | MHC class Ib RT1-S3 | 5.4 | 5.5 | − |
AB012600 | Aryl hydrocarbon receptor nuclear translocator-like protein 1 | 4.6 | 3.7 | − |
AF017437 | CD47 antigen (integrin-associated signal transducer) | 4.4 | 3.4 | − |
AA800224 | EST | 4.3 | 3.2 | − |
AF065438 | Galactoside-binding lectin | 4.3 | 5.2 | − |
S56464 | Hexokinase II | 4.1 | 5.0 | 6.5 |
AA892553 | STAT1 | 4.1 | 3.5 | − |
M10094 | MHC class I truncated cell surface antigen | 4.1 | 4.9 | − |
AA891220 | EST | 3.7 | 3.7 | − |
AF025308 | MHC class Ia RT1-A2 | 3.6 | 3.3 | − |
X63854 | Tap2/antigen peptide transporter | 3.5 | 3.8 | − |
M24067 | Plasminogen activator inhibitor 1 (PAI-1) | 3.4 | 4.9 | − |
AF036537 | Receptor-interacting serine-threonine kinase 3 | 3.3 | 4.1 | 4.8 |
X57405 | Notch protein homolog | 3.3 | 3.2 | − |
M63282 | Leucine zipper protein/activating transcription factor 3 | 3.6 | 5.5 | − |
M11794 | Metallothionein | 3.2 | 3.8 | − |
M31018 | MHC class I alpha chain precursor | 3.2 | 3.3 | − |
AI170268 | Beta-2-microglobulin | 3.0 | 3.7 | − |
Threefold (or more) increase in IFN + PRV Be | ||||
AF030358 | Fractalkine precursor (C-X3-C) motif | − | 13.2 | 16.5 |
AI169756 | Mitogen-inducible gene 6 | − | 7.9 | 5.8 |
X06769 | c-fos | − | 6.8 | 11.0 |
AA891041 | jun-b | − | 6.7 | 19.0 |
U48592 | Interleukin-1 receptor accessory protein | − | 5.8 | − |
AI169327 | Tissue inhibitor of metalloproteinase I | − | 5.6 | − |
U75397 | Egr1 | − | 5.5 | 7.6 |
AA800613 | Zinc finger protein 36 | − | 4.3 | 4.6 |
M77479 | Sodium/bile acid cotransporter | − | 4.1 | 4.4 |
AF020618 | Myd116/protein phosphatase regulatory subunit | − | 4.0 | 5.3 |
AJ009698 | Embigin | − | 4.0 | − |
U42627 | Dual-specificity phosphatase (MKP-3) | − | 3.8 | 3.2 |
X96437 | Immediate-early response 3 (Prg1) | − | 3.4 | 3.9 |
M91652 | Glutamine synthetase 1 | − | 3.4 | − |
M65149 | CCAAT/enhancer binding protein (C/EBP) | − | 3.3 | 3.5 |
U78102 | Egr2 | − | 3.3 | 5.3 |
U13396 | JAK2 | − | 3.2 | − |
M11071 | MHC class I RT1.A(n) heavy chain precursor | − | 3.0 | − |
The average increase compared to mock-treated cells is indicated for each experimental condition. −, not significantly different or absent.
TABLE 2.
Accession no. | Gene | Avg increase (n-fold)a
|
||
---|---|---|---|---|
IFN | IFN + PRV Be | PRV Be | ||
Threefold (or more) increase in IFN | ||||
X52713 | Mx3 | 267.7 | − | − |
AF068268 | 2′-5′ oligoadenylate synthetase 2 | 42.4 | − | − |
AA892553 | STAT1 | 31.9 | − | − |
AA799569 | EST (BLAST similarity to STAT2) | 22.1 | − | − |
U16025 | MHC class Ib RT1-M3 | 19.2 | − | − |
U72741 | Beta-galactoside binding lectin | 17.4 | − | − |
D10729 | Proteasome subunit beta type 8 precursor | 15.0 | − | − |
D88250 | Serine protease homologous to complement C1s precursor | 14.8 | − | − |
AF065438 | Galactoside-binding lectin | 10.8 | − | − |
D45250 | Proteasome activator rPA28 beta subunit | 9.8 | − | − |
AA926129 | Manganese-containing superoxide dismutase | 8.6 | − | − |
X76453 | HRAS-like suppressor (H-rev107) | 7.3 | − | − |
AA799803 | Serine protease homologous to complement C1r precursor | 7.0 | − | − |
S81497 | Lysosomal acid lipase A | 6.6 | − | − |
AF025308 | MHC class Ia RT1-A2 | 6.6 | − | − |
AI177256 | EST | 6.1 | − | − |
M10094 | MHC class I truncated cell surface antigen | 5.9 | − | − |
M31018 | MHC class I alpha chain precursor | 5.3 | − | − |
D45249 | Proteasome activator rPA28 subunit alpha | 4.9 | − | − |
AF036537 | Receptor-interacting serine-threonine kinase 3 | 4.9 | − | − |
M24026 | MHC class I RT1 (RT44), u haplotype | 4.8 | − | − |
AI232284 | EST (BLAST similarity to MHC class I) | 4.6 | − | − |
M11071 | MHC class I RT1.Aw3 | 4.3 | − | − |
AF074609 | MHC class I RT1-EC3 | 4.1 | − | − |
AF017437 | CD47 antigen (integrin-associated signal transducer) | 3.9 | − | − |
U18942 | dsRNA-specific adenosine deaminase | 3.8 | − | − |
AF074608 | MHC class Ib RT1-EC2 | 3.8 | − | − |
AI176710 | Neuron-derived orphan nuclear receptor 1/2 | 3.5 | − | 6.6 |
L16532 | 2′,3′-cyclic nucleotide 3′-phosphodiesterase | 3.4 | − | − |
AF054826 | Vesicle-associated membrane protein 5 (VAMP5) | 3.4 | − | − |
L40362 | MHC class I RT1.C type | 3.3 | − | − |
AA875037 | Serine proteinase inhibitor mBM2A | 3.2 | − | − |
U53475 | RAB8B GTPase, member RAS oncogene family | 3.2 | − | − |
AA893280 | Adipose differentiation-related protein | 3.1 | − | − |
L25387 | Phosphofructokinase C | 3.1 | − | − |
AA892250 | Kainate receptor | 3.0 | − | − |
U09870 | Major vault protein (MVP) | 3.0 | − | − |
Threefold (or more) increase in both IFN and IFN + PRV Be | ||||
M80367 | IFN-induced guanylate-binding protein 2 (p67) | 273.7 | 35.4 | − |
U17035 | Small inducible cytokine B subfamily (C-X-C) member 10 | 245.1 | 242.9 | 79.7 |
AA799861 | IFN regulatory factor 7 (moderately similar) | 229.4 | 520.1 | 17.7 |
Y07704 | Best5/viperin | 228.3 | 257.4 | 12.6 |
X52711 | Mx1 | 173.3 | 18.2 | − |
AA891944 | EST (BLAST similarity to Mx2) | 111.2 | 26.3 | − |
D10757 | Proteasome subunit R-RING12 | 62.6 | 7.7 | − |
AI235890 | MHC class Ib RT1-BM1, alpha chain | 57.5 | 8.4 | − |
X57523 | Tap1/antigen peptide transporter | 27.8 | 6.8 | − |
AI013987 | PKR | 18.9 | 13.2 | 3.5 |
L23128 | MHC class Ib RT1, H2-TL-like | 16.0 | 6.9 | − |
Z18877 | 2′-5′ oligoadenylate synthetase 1 | 9.9 | 3.9 | − |
M34253 | IFN regulatory factor 1 (IRF1) | 8.4 | 4.3 | − |
L40364 | MHC class Ib RT1-CE12 | 7.2 | 3.8 | − |
M24067 | Plasminogen activator inhibitor 1 (PAI-1) | 5.9 | 7.3 | 3.2 |
L01624 | Serum/glucocorticoid-regulated kinase | 5.2 | 25.0 | 9.1 |
AI170268 | Beta-2-microglobulin | 5.2 | 6.9 | − |
M24324 | MHC class I CE1 | 4.9 | 3.6 | − |
X61381 | Interferon-induced transmembrane protein 3 | 4.7 | 5.0 | − |
AI176456 | EST (BLAST similarity to MHC) | 4.3 | 15.0 | 3.5 |
AF029240 | MHC class Ib RT1-S3 | 4.0 | 3.4 | − |
Threefold (or more) increase in IFN + PRV Be | ||||
M11794 | Metallothionein | − | 36.3 | 4.2 |
S67722 | Cyclooxygenase-2 (COX-2) | − | 19.2 | 17.5 |
AI102562 | EST (BLAST similarity to metallothionein) | − | 12.3 | − |
AI137583 | Inhibitor of DNA binding 2 | − | 11.8 | 7.2 |
U09401 | Tenascin C | − | 11.7 | 3.4 |
U48592 | Interleukin-1 receptor accessory protein | − | 10.3 | − |
L11035 | T-cell receptor alpha chain | − | 8.7 | 10.3 |
AA891576 | Complement component 1, q subcomponent | − | 8.5 | 9.1 |
M64711 | Endothelin 1 | − | 7.7 | − |
AF000942 | Inhibitor of DNA binding 3 | − | 6.3 | − |
L14937 | Proprotein convertase subtilisin/kexin type 4 | − | 6.3 | 6.4 |
U60977 | Lipid raft protein flotillin 1 | − | 5.9 | − |
AA891499 | Predicted: similar to RIKEN | − | 5.9 | 5.2 |
X80395 | Vesicular acetylcholine transporter (VAChT) | − | 5.4 | 4.5 |
S98336 | Mullerian-inhibiting factor precursor | − | 5.2 | 4.8 |
AA859519 | Predicted: similar to RNA binding protein gene | − | 4.9 | 4.0 |
X07320 | Phosphorylase b kinase, gamma subunit | − | 4.7 | 3.8 |
S77556 | Discoidin domain receptor family, member 1 | − | 4.7 | 4.7 |
M61875 | CD44 antigen, transmembrane glycoprotein | − | 4.7 | 5.2 |
X91988 | STAT5b | − | 4.6 | 3.8 |
AA944156 | B-cell translocation gene 2 | − | 4.5 | 3.7 |
AA892333 | Predicted: tubulin, alpha 6 | − | 4.4 | 6.1 |
AA800613 | Zinc finger protein 36 | − | 4.4 | − |
AI169756 | Mitogen-inducible gene 6 | − | 4.3 | 4.1 |
AA875509 | Mdm2 | − | 4.3 | − |
L16764 | Heat shock protein 70 | − | 4.3 | − |
L01267 | Transcription initiation factor IIF beta subunit | − | 4.2 | − |
AA799406 | EST | − | 4.2 | 4.1 |
X62875 | High-mobility group protein Y | − | 4.1 | − |
M33312 | Cytochrome P450 | − | 4.0 | − |
X06769 | c-fos | − | 3.8 | − |
M32061 | Alpha-2B-adrenergic receptor | − | 3.8 | − |
AF087944 | Monocyte differentiation antigen CD14 precursor | − | 3.7 | 3.3 |
AA891751 | EST (BLAST similarity to voltage-gated sodium channel) | − | 3.7 | − |
U09361 | Tenascin C | − | 3.7 | − |
M63282 | Activating transcription factor 3 | − | 3.7 | − |
AI232783 | Glutamine synthetase 1 | − | 3.7 | − |
L35558 | Neuronal/epithelial high-affinity glutamate transporter | − | 3.5 | 3.8 |
AF030358 | Fractalkine precursor (C-X3-C) motif | − | 3.5 | 9.8 |
M35270 | Alanine-glyoxylate aminotransferase | − | 3.4 | 3.2 |
AI169327 | Tissue inhibitor of metalloproteinase 1 | − | 3.4 | − |
AF061971 | Palmitoyl-protein thioesterase 2 | − | 3.3 | − |
AF001417 | Kruppel-like transcription factor | − | 3.1 | − |
AI230260 | Casein kinase 2 | − | 3.1 | − |
U19866 | Activity-regulated cytoskeletal-associated protein (Arc) | − | 3.1 | − |
AF020618 | Myd116/protein phosphatase regulatory subunit | − | 3.0 | − |
The average increase compared to mock-treated cells is indicated for each experimental condition. −, not significantly different or absent.
To validate the microarray analysis, PKR and Mx1, two well-known ISGs, were selected for testing with quantitative real-time reverse transcription (RT)-PCR. The mRNA levels of these genes were tested for various conditions and time points and represented a wide range of expression changes. Of the 11 microarray data points tested using RT-PCR, 8 were confirmed (73%) and 3 were discordant (Table 3). Data points were considered confirmed if both methods of measurement indicated that the transcript level of the gene in question increased relative to its level in the mock sample. As has been noted previously (28), RT-PCR data tended to show even larger increases for genes whose transcript levels were highly increased by microarray analysis.
TABLE 3.
Gene | Condition | Increase (n-fold)
|
|
---|---|---|---|
Microarray | RT-PCR | ||
PKR | IFN, 3 h | 37.0 | 0.4 |
IFN + PRV Be, 3 h | 37.2 | 13.9 | |
Be, 3 h | 1.1 | 1.3 | |
IFN + PRV Be, 12 h | 13.2 | 0.7 | |
Be, 12 h | 3.5 | 0.2 | |
Mx1 | IFN, 3 h | 95.4 | 20.0 |
IFN + PRV Be, 3 h | 60.6 | 3,880.0 | |
Be, 3 h | 1.6 | 11.2 | |
IFN, 12 h | 173.3 | 260,000.0 | |
IFN + PRV Be, 12 h | 18.2 | 2,600.0 | |
Be, 12 h | 1.8 | 11.0 |
Gene classes and pathways affected by IFN-β treatment and PRV infection.
Many of the genes activated by IFN-β in REF cells at both early and late time points are involved in major histocompatibility complex (MHC) class I antigen presentation. These genes include the MHC class I molecules, proteasome subunits, antigen peptide transporters (Tap1/2), and β2-microglobulin (Table 4). At the 3-h time point, 15 out of the 16 genes associated with the MHC class I system were induced threefold or more in the IFN-treated and PRV-infected cells (Table 4). By the 12-h time point, only 8 out of 21 MHC class I genes remained induced in the IFN-treated and PRV-infected cells (Table 4). Many of the genes whose expression levels remained above the threefold cutoff were substantially decreased in expression compared to their levels in IFN-β-treated cells. For example, Tap1 levels were induced 27.8-fold in IFN-β-treated cells and 6.8-fold in IFN-treated and PRV-infected cells (Table 4). None of the MHC class I genes showed increased transcript levels in PRV-infected cells at either time point, suggesting that PRV infection alone does not activate this portion of the immune system.
TABLE 4.
Accession no. | Gene | Avg increase (n-fold)a
|
|||||
---|---|---|---|---|---|---|---|
IFN
|
IFN + PRV Be
|
PRV Be
|
|||||
3 h | 12 h | 3 h | 12 h | 3 h | 12 h | ||
MHC class I antigen presentation | |||||||
AI170268 | Beta-2-microglobulin | 3.0 | 5.2 | 3.7 | 6.9 | − | − |
M31018 | MHC class I alpha chain precursor | 3.2 | 5.3 | 3.3 | − | − | − |
M24324 | MHC class I CE1 | − | 4.9 | − | 3.6 | − | − |
M24026 | MHC class I RT1 (RT44), u haplotype | − | 4.8 | − | − | − | − |
M11071 | MHC class I RT1.A(n) heavy chain precursor | − | − | 3.0 | − | − | − |
X67504 | MHC class I RT1.Au heavy chain precursor | 15.4 | − | 12.4 | − | − | − |
M11071 | MHC class I RT1.Aw3 | − | 4.3 | − | − | − | − |
L40362 | MHC class I RT1.C type | − | 3.3 | − | − | − | − |
AF074609 | MHC class I RT1-EC2 | − | 3.8 | − | − | − | − |
AF074609 | MHC class I RT1-EC3 | − | 4.1 | − | − | − | − |
M10094 | MHC class I truncated cell surface antigen | 4.0 | 5.9 | 4.9 | − | − | − |
AF025308 | MHC class Ia RT1-A2 | 3.6 | 6.6 | 3.3 | − | − | − |
L23128 | MHC class Ib RT1, H2-TL-like | 18.3 | 16.0 | 16.4 | 6.9 | − | − |
AI235890 | MHC class Ib RT1-BM1, alpha chain | 43.3 | 57.5 | 35.0 | 8.4 | − | − |
L40364 | MHC class Ib RT1-CE12 | 5.5 | 7.2 | 5.6 | 3.8 | − | − |
U16025 | MHC class Ib RT1-M3 | 11.1 | 19.2 | 3.9 | − | − | − |
AF029240 | MHC class Ib RT1-S3 | 5.4 | 4.0 | 5.5 | 3.4 | − | − |
D45249 | Proteasome activator rPA28 subunit alpha | − | 4.9 | − | − | − | − |
D45250 | Proteasome activator rPA28 subunit beta | 3.1 | 9.8 | − | − | − | − |
D10729 | Proteasome subunit beta type 8 precursor | 5.8 | 15.0 | 4.1 | − | − | − |
D10757 | Proteasome subunit R-RING12 | 24.3 | 62.6 | 15.8 | 7.7 | − | − |
X57523 | Tap1/antigen peptide transporter | 31.3 | 27.8 | 24.1 | 6.8 | − | − |
X63854 | Tap2/antigen peptide transporter | 3.5 | − | 3.8 | − | − | − |
Complement | |||||||
AA891576 | Complement component 1, q subcomponent | − | − | − | 8.5 | − | 9.1 |
AA799803 | Serine protease homologous to C1r precursor | − | 7.0 | − | − | − | − |
D88250 | Serine protease homologous to C1s precursor | − | 14.8 | − | − | − | − |
Cytokines/receptors/inflammatory response | |||||||
Y07704 | Best5/viperin | 206.5 | 228.3 | 263.8 | 257.4 | 13.9 | 12.6 |
AF030358 | Fractalkine precursor (C-X3-C) motif | − | − | 13.2 | 3.5 | 16.5 | 9.8 |
U48592 | Interleukin-1 receptor accessory protein | − | − | 5.8 | 10.3 | − | − |
U69272 | Interleukin-15 | 3.7 | − | − | − | − | − |
AF087944 | Monocyte differentiation antigen CD14 precursor | − | − | − | 3.7 | − | 3.3 |
U17035 | Small inducible cytokine B subfamily (CXC10) | 443.1 | 245.1 | 538.7 | 242.9 | 171.7 | 79.7 |
L11035 | T-cell receptor alpha chain | − | − | − | 8.7 | − | 10.3 |
IFN regulatory factors | |||||||
M34253 | IFN regulatory factor 1 (IRF1) | 16.4 | 8.4 | 17.1 | 4.3 | 3.8 | − |
AA799861 | IFN regulatory factor 7 (IRF7) | 126 | 229.4 | 109.6 | 520.1 | − | 17.7 |
Antiviral effect | |||||||
Z18877 | 2′-5′ oligoadenylate synthetase 1 | 3.3 | 9.9 | − | 3.9 | − | − |
AF068268 | 2′-5′ oligoadenylate synthetase 2 | 37.8 | 42.4 | 22.0 | − | − | − |
X52711 | Mx1 | 95.4 | 173.3 | 60.6 | 18.2 | − | − |
X52713 | Mx3 | 135.2 | 267.7 | 109.5 | − | − | − |
AI013987 | PKR | 37 | 18.9 | 37.2 | 13.2 | − | 3.5 |
The average increase compared to mock-treated cells is indicated for each experimental condition. −, not significantly different or absent.
Genes involved in the complement system were regulated at the late time point. The transcript levels of serine proteases homologous to C1s and C1r precursors were increased only by IFN-β treatment, but not under any conditions where PRV replication was present (Table 4). The C1q component, on the other hand, was increased by PRV infection, but not by IFN-β treatment.
Best5/viperin and CXC10 are two genes whose expression was induced considerably by IFN-β treatment at both early and late time points (Table 4). Their levels remained high in the IFN-β-treated and PRV-infected samples, and they were also induced in the PRV-infected samples. Both genes are associated with the inflammatory response (24, 26). Other proinflammatory genes and immunomodulatory genes, such as those encoding interleukin-1 (IL-1) receptor accessory protein, T-cell receptor alpha chain, monocyte differentiation antigen CD14 precursor, and fractalkine precursor, are induced by PRV infection regardless of the presence or absence of IFN-β (Table 4).
The expression of two IFN regulatory factors (IRFs) is induced by IFN-β treatment (Table 4). IRF-7 mRNA levels increased at the late time point under all three experimental conditions tested and were not reduced by the presence of PRV Be infection in the IFN-β-treated and PRV Be-infected sample. IRF-1 expression, on the other hand, was more abundant at the early time point and was reduced in the presence of PRV Be infection only at the late time point.
The expression of classic antiviral ISGs, such as those encoding PKR, Mx1/3, and Oas1/2, was strongly induced by IFN-β treatment (Table 4). With the exception of PKR, which was induced 3.5-fold at 12 h p.i., none of these transcripts were induced in PRV Be-infected cells at either time point. Transcript levels for all of the antiviral genes were reduced in cells which were simultaneously IFN-β treated and PRV Be infected compared to their levels in cells which were only treated with IFN-β.
PRV infection suppresses IFN-β-induced STAT1 tyrosine phosphorylation.
One mechanism by which PRV infection can inhibit the expression of a set of ISGs is by modulating the IFN signaling pathway. Therefore, the effect of wild-type PRV infection on tyrosine phosphorylation of STAT1 in response to a burst of IFN treatment was analyzed by immunoblotting and immunofluorescence. Monolayers of REF cells were mock infected or infected with PRV Be at a high MOI for immunoblotting or at a low MOI for immunofluorescence. At 3, 6, 9, and 18 h p.i., the cells were treated with rIFN-β for 30 min. The cells were subsequently prepared either for immunoblotting or for immunofluorescence for STAT1 and Tyr701-phosphorylated STAT1 (pSTAT1). As can be seen from protein band quantification and a sample Western blot in Fig. 3A and C, total STAT1 levels did not vary either after IFN treatment of mock-infected cells or through the time course of PRV infection. The levels of pSTAT1 increased after IFN-β treatment of mock-infected cells, as expected, but the cells became less responsive to IFN-β treatment as PRV replication progressed (Fig. 3B and C). In fact, cells treated with IFN-β at 18 h p.i. had lower levels of pSTAT1 than mock-infected cells not treated with IFN-β (Fig. 3B). These results were confirmed with immunofluorescence studies. While at 6 h p.i., some infected cells (indicated by positive gE staining) still exhibited nuclear pSTAT1, by 9 and 18 h p.i., almost all infected cells did not exhibit positive pSTAT1 staining (Fig. 4). As the infection progressed, the nuclei (Fig. 4, inset) lost green pSTAT1 staining, and the blue Hoechst staining became more obvious.
Classification of the viral gene(s) responsible for suppression of STAT1 phosphorylation.
We next determined the temporal class of the viral gene(s) necessary for suppression of IFN-induced STAT1 phosphorylation. CHX, which blocks immediate-early, early, and late viral-protein expression, and PAA, which blocks DNA replication and late gene expression, were used in immunofluorescence studies of pSTAT1 localization. REF cells were infected with PRV Be at a high MOI for 9 h and then treated with IFN-β for 30 min. Either CHX or PAA was maintained in the medium before and throughout the infection and IFN treatment. The normal phosphorylation and nuclear translocation of STAT1 in response to IFN treatment is unaffected by either CHX or PAA alone (Fig. 5A). Staining for gB was used as a marker for viral infection, because one of the mutant viruses tested (PRV Ba) lacks the gE gene. As expected, CHX treatment prevented gB synthesis in PRV-Be-infected cells (Fig. 5A). PRV Be infection suppressed STAT1 phosphorylation in the presence of CHX, suggesting that de novo protein synthesis is not necessary for this process. PAA treatment of infected cells partially restored the responsiveness of cells to IFN-β treatment, as some nuclear pSTAT1 could be seen, although not at the levels of uninfected cells. This result suggests that the presence of PRV immediate-early and/or early transcripts or proteins increases the phosphorylation of STAT1.
An EP0-null mutant (PRV EP0-1) and the attenuated vaccine strain PRV Ba were tested in this assay to determine if the mutant alleles known for these strains are involved in suppression of STAT1 phosphorylation. The EP0 deletion mutant was selected because the HSV-1 homolog of EP0 (ICP0) has been shown to inhibit the induction of ISGs after viral infection (6). Cells infected with the EP0 deletion mutant for 9 h were unresponsive to IFN-β treatment, suggesting that this protein is not required for the inhibition of STAT1 phosphorylation (Fig. 5B). PRV Ba was tested, because rats infected with this strain showed increased expression of IFN-stimulated and proinflammatory gene transcripts in their brains just before death (28). Cells infected with PRV Ba and treated with IFN contained phosphorylated STAT1, but at much lower levels than mock-infected cells (Fig. 5B). In PRV Ba-infected cells, pSTAT1 staining was more diffuse and cytoplasmic than in mock-infected cells, where it was completely nuclear. This result raises the intriguing possibility that the wild-type PRV genome contains several genes that modulate STAT1 signaling, with one of them mutated in the PRV Ba genome.
DISCUSSION
The effectiveness of rIFN-β in reducing wild-type PRV yields in REF cells was correlated with the length of time the cells had been treated with IFN prior to infection. The 1,000-fold drop in PRV Be yields after 24 h of rIFN-β pretreatment was not surprising, as IFN-β has been shown to be the most effective of the type I IFNs in antagonizing HSV-1 replication (10, 37). The large reduction in viral yield occurred only when the virus entered cells that had been primed by IFN-β to respond quickly to infection. When IFN-β and the virus bound to a naïve cell simultaneously, PRV replication competed with, and overcame, the cell's attempt to establish an antiviral state. This result indicated that at least one PRV protein carried in the virion or expressed during infection antagonized the antiviral effects of IFN-β.
Global analysis of rIFN-β-stimulated gene expression in the presence and absence of PRV Be infection showed that viral replication reduces the levels of many ISG transcripts normally induced by exogenous IFN-β, especially at a late time during infection. Many of the genes affected serve to communicate with other players in the innate and adaptive immune responses. For example, presentation of viral antigens by MHC class I molecules to cytotoxic T cells is a crucial component of the host's antiviral defense (12). The expression of genes associated with MHC class I antigen presentation was reduced in simultaneously IFN-β-treated and PRV Be-infected cells relative to their levels in IFN-β-treated cells. NK cells have been shown to be important in controlling persistent HSV-1 infections (38). The levels of IRF-1 and IL-15 mRNAs, factors necessary for the development of NK cells (23), were reduced in the presence of PRV Be infection. In addition to genes involved in communicating with the immune system, expression of genes that have direct effects on viral-macromolecule synthesis, such as those encoding PKR, OAS, and Mx, was decreased by PRV infection. Furthermore, wild-type PRV infection does not induce the expression of most ISGs. Much like HSV-1 replication (22), PRV replication does not stimulate the early stages of an effective antiviral response.
The reduction in ISG levels does not reflect a nonspecific decrease of cellular mRNA levels, as the expression of some genes associated with the immune response remained elevated in simultaneously IFN-β-treated and PRV Be-infected cells. For example, IRF-7 mRNA levels increased under all experimental conditions by 12 h posttreatment of infection. This protein serves to increase the transcription of various IFN-α subspecies (16). However, it is possible that because IFN-αs are not as effective at antagonizing herpesvirus replication (10, 37) or because PRV replication is mostly completed by that time, IRF-7 expression is not reduced by PRV infection. Expression of complement genes is also not decreased uniformly. The levels of serine proteases C1s and C1r, which are detrimental to viral replication, are increased by IFN-β treatment but suppressed by PRV Be replication. The levels of the C1q component, which has been implicated in antibody-dependent enhancement of viral infection (36) and contributes to the inflammation process (8), are not increased by IFN-β treatment. C1q expression is induced only by PRV Be infection, implying that this protein may be advantageous for PRV replication. Other proinflammatory and immunomodulatory genes, such as those encoding IL-1 receptor accessory protein and monocyte differentiation antigen, were also induced by PRV Be infection, but not by IFN-β treatment. CXC10 and best5/viperin genes, which are also associated with the inflammatory response, were induced strongly by IFN-β and remained so in infected cells. The fact that the expression of these genes is not suppressed and is sometimes induced by viral infection itself suggests that the inflammatory response is favorable to PRV replication. These data support the hypothesis proposed by Brittle et al. (2) that animals infected with virulent PRV strains die because of an immune response to infection, rather than viral cytopathic effects. Other viruses, such as Sindbis virus and lymphocytic choriomeningitis virus, have been shown to induce strong, lethal inflammatory responses in rodent hosts (5, 14).
Wild-type PRV infection suppresses STAT1 tyrosine phosphorylation normally induced by IFN-β treatment of REF cells. This suppression is not a result of the general deterioration of the cells, since infected REF cells have been shown to remain attached to the plate and remain metabolically active at 8 and 12 h p.i. (33). Similarly, HSV-1-infected cells become unresponsive to IFN treatment (39). One difference is that pSTAT1 becomes imperceptible on immunoblots by 3 h p.i. with HSV-1 compared to 9 h p.i. with PRV Be. This result may reflect the different cells used in the two experiments or, alternatively, it is possible that HSV-1 and PRV inhibit STAT1 phosphorylation through different mechanisms. HSV-1 infection increases the mRNA and protein levels of suppressor of cytokine signaling-3 (SOCS3), a cellular inhibitor of the JAK/STAT pathway (40). While PRV Be infection has not been shown by microarray analysis to increase SOCS3 transcript levels (28, 33), it would be interesting to determine whether SOCS3 protein levels are increased after PRV infection. Other host negative regulators of STAT1 signaling that should be examined for activation by PRV infection include nuclear phosphatase TC45, cytoplasmic phosphatase PTP1B and SH2-containing phosphatases SHP1 and SHP2, PIAS proteins, and other SOCS proteins (1).
Experiments to classify the viral gene(s) involved in inhibition of STAT1 phosphorylation indicated that immediate-early, early, and late gene expression are not necessary for inhibition. However, binding and entry of the virus alone were sufficient for inhibition, which can be confirmed by testing if UV-inactivated PRV Be suppresses STAT1 phosphorylation. This result implicated a tegument protein, or proteins, in regulation of STAT1 phosphorylation. The action of a tegument protein might be expected to become apparent sooner than 6 to 9 h p.i., which is when infected cells became unable to phosphorylate STAT1. However, it is likely that the viral protein involved does not act on pSTAT1 directly. It may redirect a cellular phosphatase to dephosphorylate pSTAT1, as HSV-1 γ34.5 does, or it may increase the proteasomal degradation of pSTAT1. Considering that transport, dephosphorylation, and ubiquitination of cellular proteins are probably involved, the effect on STAT1 phosphorylation does not occur as soon as tegument proteins enter the cell.
Somewhat surprisingly, blocking viral DNA replication and late gene expression restored a low level of STAT1 phosphorylation in response to IFN-β treatment. It is possible that the expression of immediate-early and early viral genes is sensed by cellular defenses and allows some STAT1 phosphorylation. This result also implies that the viral protein responsible for STAT1 phosphorylation inhibition is a late protein. Perhaps both the protein brought in with the virion and the protein newly made during viral replication are necessary for complete inhibition of STAT1 phosphorylation.
The viral protein EP0 was considered as a candidate for STAT1 phosphorylation inhibition because EP0 has been shown to be incorporated in PRV virions (25) and HSV-1 ICP0 inhibits ISG induction. We found that the EP0-null mutant inhibited STAT1 phosphorylation comparably to the wild-type virus. The effect of virion host shutoff protein on STAT1 phosphorylation should be tested, because the HSV-1 homolog of this protein has been implicated in the disappearance of JAK1, one of the kinases responsible for phosphorylating STAT1 (4). Cells infected with the attenuated vaccine strain PRV Ba showed a low level of STAT1 phosphorylation in response to IFN-β treatment, and the pattern of staining for pSTAT1 appeared to be cytoplasmic instead of nuclear. The fact that PRV Ba may not be as efficient in preventing STAT1 phosphorylation would explain the increased expression of ISGs in animals infected with this strain close to death (28).
In summary, wild-type PRV infection of REF cells suppresses the expression of most IFN-β-stimulated genes that have potent antiviral effects. This suppression is accomplished by rendering cells unable to phosphorylate STAT1 in response to IFN-β treatment. Some ISGs, in particular those involved with inflammation, remain strongly induced in infected cells. The different effects on subsets of ISGs may be a result of signaling pathways other than JAK/STAT being involved in IFN-β-mediated transcription (32).
Acknowledgments
We thank Christina Paulus (University of Regensburg, Regensburg, Germany) for generating and providing the PRV EP0-1 mutant strain and REF cells and Neelanjana Ray for guidance in performing microarray and RT-PCR experiments. We are grateful to all members of the Enquist laboratory for helpful discussions.
This research was supported by NIH grant 5P01 CA87661 to L.W.E. A.B. was supported by an NSF Predoctoral Fellowship and a Princeton Graduate School Centennial Fellowship.
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