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Journal of Virology, November 2004, p. 11461-11476, Vol. 78, No. 21
0022-538X/04/$08.00+0 DOI: 10.1128/JVI.78.21.11461-11476.2004
Copyright © 2004, American Society for Microbiology. All Rights Reserved.
Sealy Center for Molecular Science,2 NHLBI Proteomics Center,3 Departments of Medicine,1 Human Biological Chemistry and Genetics,5 Microbiology and Immunology,6 Pediatrics,7 University of Texas Medical Branch Biomolecular Resource Facility,8 Bioinformatics Program, The University of Texas Medical Branch, Galveston, Texas4
Received 29 March 2004/ Accepted 4 June 2004
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The molecular biology of RSV replication has been intensively investigated (reviewed in reference 20). After its adsorption to the cell surface, 10 major viral proteins are transcribed in the cytoplasm by the viral RNA-dependent RNA polymerase, using the antisense genome as a template through a sequential stop-start mechanism guided by short template signals (17). Subsequently, the viral transcriptase switches to a replicative mode, replicating the full-length antigenome that serves as a template for producing progeny virions that subsequently bud from the apical surface (16, 72). In natural infections, RSV replication produces epithelial damage (2) and perivascular mononuclear infiltration (21). Because the epithelium is an important site for initiation and coordination of pulmonary inflammation (1), the ability of RSV to induce epithelial signaling has been intensively studied (6, 10, 11, 22, 23).
Although the RSV life cycle is entirely cytoplasmic, RSV replication induces profound nuclear responses in the host epithelial cell. For example, previous studies employing high-density oligonucleotide arrays have provided evidence that RSV replication alters global gene expression pattern responses in infected alveolar type II-like A549 epithelial cells (68, 74). As a mechanism for its ability to induce mononuclear infiltration into the infected airway, we found that RSV induced time-dependent expression of 17 distinct chemokines, including those of the CC (I-309, Exodus-1, TARC, RANTES, MCP-1, MDC, and MIP-1
/ß), CXC (GRO
/ß/
, ENA-78, interleukin-8 [IL-8], and I-TAC), and CX3C (fractalkine) subclasses (74). The mechanism by which RSV induces chemokine expression in response to cytoplasmic viral replication is, at least in part, mediated through the induction of nuclear-to-cytoplasmic translocation of low-abundance regulatory proteins, including the transcription factors NF-
B (6, 23), interferon response factor (10), and signal transducers and activators of transcription (45), as well as enhanced synthesis of the bZIP transcription factors, nuclear factor-IL-6 and activator protein 1 (11, 38). This combination of inducible nuclear proteins together form nucleoprotein complexes (enhanceosomes) on target chemokine genes, stimulating their transcription (7, 11).
These earlier studies indicated that significant alterations in the abundance and spectrum of nuclear regulatory proteins occurs in response to cytoplasmic RSV replication. Furthermore, these studies also raised questions regarding whether other important nuclear-protein alterations may occur as a result of RSV replication that were not detected by genomic approaches. To investigate this, we applied a proteomics approach using high-resolution two-dimensional gel electrophoresis (2DE) and matrix-assisted laser desorption ionization-time of flight (MALDI-TOF) mass spectrometry (MS) to evaluate relative changes in nuclear-protein abundance in response to RSV infection. Our 2DE analysis focused on highly purified sucrose step gradient-purified nuclear extracts from control and RSV-infected A549 cells. Separate 2DE analyses were conducted using subnuclear fractions of soluble proteins prepared by high-salt extraction and the remaining insoluble postnuclear pellet. Proteins whose average abundance was changed by twofold (or greater) in six replicate gels for each treatment were then identified by peptide mass fingerprinting by MALDI-TOF-MS. These analyses identified 24 distinct proteins whose expression was significantly altered, including components of the nuclear cytoskeleton, heat shock proteins, and nuclear domain 10 (ND10) structures. Strikingly, immunofluorescence microscopic analysis demonstrated that RSV infection induced cytoplasmic Hsp70 aggregation and redistribution to punctate nuclear structures. In addition, RSV infection produced dissolution of the ND10 structures with redistribution of their major components, promyelocytic leukemia (PML) and Sp100 proteins, into the perinuclear space and cytoplasm. Taken together, these results provide new insights into specific changes in nuclear-protein abundance after cytoplasmic RSV replication and show that RSV induces global nuclear structural rearrangements and heat shock response as parts of its coordinated cellular response to viral replication.
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Preparation of nuclear extracts. Control or RSV-infected A549 cells were incubated in hypotonic buffer, buffer A (50 mM HEPES, pH 7.4, 10 mM KCl, 1 mM EDTA, 1 mM EGTA, 1 mM dithiothreitol, 0.1 µg of phenylmethylsulfonyl fluoride/ml, 1 µg of pepstatin A/ml, 1 µg of leupeptin/ml, 10 µg of soybean trypsin inhibitor/ml, 10 µg of aprotinin/ml, and 0.1% IGEPAL CA-630). After 10 min on ice, the lysates were centrifuged at 4,000 x g for 10 min at 4°C. The pellet (containing the nuclei) was resuspended in buffer B (buffer A containing 1.7 M sucrose) and centrifuged at 15,000 x g for 30 min at 4°C (8). For whole nuclear extracts, the purified nuclei were lysed in DeStreak Rehydration buffer (Amersham). For the high-salt soluble fraction, purified nuclei were incubated in buffer C (10% glycerol, 50 mM HEPES, pH 7.4, 400 mM KCl, 1 mM EDTA, 1 mM EGTA, 1 mM dithiothreitol, 0.1 µg of phenylmethylsulfonyl fluoride/ml, 1 µg of pepstatin A/ml, 1 µg of leupeptin/ml, 10 µg of soybean trypsin inhibitor/ml, 10 µg of aprotinin/ml) with vortexing for 30 min at 4°C. After centrifugation at 15,000 x g for 5 min at 4°C, the supernatant was acetone precipitated and the dried pellet was resuspended in DeStreak Rehydration buffer. Nucleic acid was removed by the addition of 300 U of endonuclease (catalog no. E 8263; Sigma)/ml and incubated for 30 min at 22°C. All extracts were normalized for protein amounts determined by Coomassie G-250 staining (Bio-Rad, Hercules, Calif.).
2DE. Isoelectric focusing (IEF) was performed with 11-cm-long precast immobilized pH gradient (IPG) strips (pH 3 to 10 or 5 to 8 as appropriate; Bio-Rad). Two hundred microliters of 1-mg/ml protein aliquots were loaded onto an IPG strip and rehydrated overnight. IEF was performed at 20°C with the following parameters: 50 V for 11 h, 250 V for 1 h, 500 V for 1 h, 1,000 V for 1 h, 8,000 V for 2 h, and 8,000 V for 6 h. After IEF, the IPG strips were stored at 80°C until 2D sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) was performed. For the 2D SDS-PAGE, the IPG strips were incubated in 4 ml of equilibration buffer (6 M urea, 2% SDS, 50 mM Tris-HCl, pH 8.8, 20% glycerol) containing 10 µl of tri-2(2-carboxyethyl) phosphine (Geno Technology, Inc., St. Louis, Mo.)/ml for 15 min at 22°C with shaking. The samples were then incubated in another 4 ml of equilibration buffer with 25 mg of iodoacetamide/ml for 15 min at 22°C with shaking. Electrophoresis was performed at 150 V for 2.25 h at 4°C with precast 8 to 16% polyacrylamide gels in Tris-glycine buffer (25 mM Tris-HCl, 192 mM glycine, 0.1% SDS, pH 8.3). After 2DE, the gels were fixed in fix buffer (10% methanol, 7% acetic acid in double-distilled H2O), stained with SYPRO-Ruby (Bio-Rad), and destained in fix buffer.
Measurement of relative spot intensities.
The destained gels were scanned at a 100-µm resolution using the Perkin-Elmer (Boston, Mass.) ProXPRESS Proteomic Imaging System with 480-nm excitation and 620-nm emission filters. The exposure time was adjusted to achieve a value of
55,000- to 63,000-pixel intensity on the most intense protein spots on the gel. The 2D gel images were subsequently analyzed using Progenesis Discovery software version 2003.03 (Nonlinear Dynamics, Ltd., Newcastle Upon Tyne, United Kingdom). An average gel was created from gels run on nuclear extracts from six separate samples from mock-infected cells (controls) and six separate samples from RSV-infected cells (24 h). The software automatically selected 1 of the 12 gels as the base image of the reference gel. The gel with the highest number of spots was set as the reference gel. Unmatched spots present in 8 of the 12 other gels were subsequently added to the reference gel image by the software to give a comprehensive reference gel. Subsequent to automatic spot detection, spot filtering was manually performed; spots with an area of <270 pixels were filtered out, and spots with a volume (intensity)/area ratio of <375 pixels (whose abundance was insufficient for MS identification) were also filtered. Typically, some manual spot editing was required to correct for spots that were not split correctly, not detected, or split unnecessarily during the automated detection process. The matching of spots between the gels was manually reviewed and adjusted as necessary. Consistent with previous work (47), the SYPRO Ruby staining was linear with respect to input protein over a large dynamic range spanning the spot intensities of the analyzed proteins (data not shown). Moreover, the log-transformed normalized spot volumes were normally distributed, indicating that nonparametric statistical comparisons, such as t tests, could be applied to identify those proteins whose expression was significantly changed by infection. The spot volumes were normalized based on the total spot volume for each gel, and the control and RSV-infected nuclei were compared. A ±2-fold change in the normalized spot volume was considered significantly changed, and these spots were subsequently robotically picked and trypsin digested, and peptide masses were identified by MALDI-TOF. Protein identification was performed using a Bayesian algorithm (73), in which high-probability matches are indicated by an expectation score, an estimate of the number of matches that would be expected in that database if the matches were completely random. Hierarchical clustering was performed by the hclust algorithm in the Splus 6 statistical package (Insightful Inc.), using Euclidian distance.
Protein identification. Protein gel spots were excised and prepared for MALDI-TOF-MS analysis using Genomic Solutions' ProPic and ProPrep robotic instruments following the manufacturer's protocols. Briefly, gel pieces were incubated with trypsin (20 µg/ml in 25 mM ammonium bicarbonate, pH 8.0; Promega Corp.) at 37°C for 4 h. MALDI-TOF-MS was performed using an Applied Biosystems Voyager model DE STR for peptide mass fingerprinting. Tryptic digests of some gel spots selected for validation were subsequently subjected to analysis by liquid chromatography ion-trap microspray tandem MS (LC-MS/MS) using a Micromass quadrupole time of flight MS. LC was performed on a C18 New Objective PicoFrit column that allowed the eluate to be sprayed directly into the source of the mass spectrometer. MS/MS was performed in a data-dependent mode, and the data were processed using a Proteometrics Sonar MS/MS search engine (Genomic Solutions).
Western immunoblot analysis. For Western blots, nuclear proteins were fractionated on SDS-10% PAGE and transferred to polyvinylidene difluoride membranes (Millipore, Bedford, Mass.) (39). The membranes were treated with 5% milk-Tris-buffered saline (100 mM Tris-HCl, 150 mM NaCl, pH 7.5) containing 0.1% (vol/vol) Tween for 1 h and then incubated with an appropriate antibody overnight at 4°C. Anti-lamin-B, -PML, and -Sp100 antibodies were affinity-purified rabbit polyclonal antibodies (Santa Cruz Biotechnology, Santa Cruz, Calif.); anti-ß-tubulin (Santa Cruz Biotechnology) and -ß-actin (Santa Cruz Biotechnology) were mouse monoclonal antibodies. The membranes were washed four times in Tris-buffered saline with 0.1% (vol/vol) Tween 20 and then incubated with horseradish peroxidase-conjugated secondary antibody. After being washed, immune complexes were detected by reaction in the enhanced-chemiluminescence assay (Amersham) according to the manufacturer's recommendations.
Immunofluorescence microscopy. A549 cells (105) plated on coverslips were mock or RSV infected (MOI, 5). The mock- and RSV-infected cells were washed, air dried, and fixed for 10 min with 4% paraformaldehyde in phosphate-buffered saline (PBS), pH 7.4. Lipids were removed by extraction with acetone-methanol (1:1). To remove the cytoplasm and expose nuclear epitopes, where indicated, the cells were washed with PBS, fixed in 4% paraformaldehyde at 4°C for 15 min, and placed into 0.1 N HCl containing 100 µg of pepsin (Sigma Biochemicals, Inc.)/ml for 30 min at 37°C. The cells were then incubated for 60 min at 37°C with the appropriate primary antibody (diluted 1:200 in PBS-Tween 20) to Hsp70 (StressGen Biotechnologies), anti-PML or anti-Sp100 (both from Santa Cruz Biotechnology). After being washed three times for 15 min each time with PBS-Tween 20, the cells were incubated for 1 h at room temperature with fluorescein isothiocyanate-conjugated secondary antibodies diluted 1:200 (Santa Cruz Biotechnology). Nuclei of cells were stained for 15 min with DAPI (4'6-diamidino-2-phenylindole dihydrochloride; 10 ng/ml). The cells were then mounted in antifade medium (Dako Inc., Carpinteria, Calif.) on a microscope slide and photographed. Confocal microscopy was performed on a Zeiss LSM510 META system. Images were captured at x60 to x192 magnification.
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12 h after adsorption (74). Although viral cytopathic effect is present 12 to 24 h later, infected cells retain viability for 48 to 72 h, when syncytium formation and apoptotic cell death predominate. In this study, we isolated highly purified nuclei from uninfected and infected A549 cells prepared 24 h after viral adsorption to ensure cells were uniformly infected. Nuclei purified by sucrose step gradient centrifugation served as the source of protein for the 2DE analysis (8, 32). To demonstrate the quality of the nuclear preparations, the extracts were stained with DAPI and visualized by phase-contrast microscopy (Fig. 1). As seen in Fig. 1A to D, nuclear preparations consisted of homogeneous nuclear forms that uniformly stained with DAPI. The nuclear structures were well maintained, as intact nucleoli could be identified by phase-contrast microscopy under higher magnification (Fig. 1C and D). As biochemical markers for enrichment of nuclear protein, Western immunoblot analysis was performed on A549 nuclear and cytoplasmic fractions that stained either with an antibody to the nuclear matrix protein lamin B or with an antibody to the cytoplasmic marker tubulin. As seen in Fig. 1E, a strong 80-kDa lamin B band was detected specifically in the nuclear fractions, whereas a 60-kDa ß-tubulin band was strongly detected in the cytoplasmic, but not the nuclear, fraction. Together, these observations gave strong evidence that the nuclear fractions were homogeneous and enriched in nuclear proteins.
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FIG. 1. Characterization of A549 cell nuclear preparations. (A to D) Microscopic analysis of sucrose step gradient-purified nuclei. Purified nuclei were diluted in PBS, plated on a microscope coverslip, and stained with DAPI (see Materials and Methods). Panels A and C, phase-contrast microscopy; panels B and D, DAPI staining. Panels A and B, low-resolution images. Panels C and D, high-resolution images. In panel C, nucleoli are visible (arrows). (E) Western immunoblot for nuclear and cytoplasmic markers. Duplicate 75-µg samples of nuclear and cytoplasmic extracts were fractionated by one-dimensional SDS-PAGE, transferred to polyvinylidene difluoride, and stained with lamin B and ß-tubulin antibodies. The locations of molecular weight markers (103) are indicated on the left. The lamin B stain is localized to the nuclear fraction (Nuc), whereas the ß-tubulin is localized to the cytoplasmic lysates (Cyto).
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Representative images of a single SYPRO Ruby-stained 2DE gel (IEF range, pH 5 to 8) from high-salt extractions of the control and RSV-infected nuclei are shown in Fig. 2A. Overall, the patterns of proteins were largely similar, indicating that at this time, RSV did not induce global perturbations of the nuclear proteome. To determine whether the spot intensity patterns were similar for the replicates under the same treatment conditions, the normalized spot volumes were compared pairwise across the treatment set. For each spot resolved by 2DE, the normalized spot volume in the base gel was plotted against that value in gels 2 to 5, and the Pearson correlation coefficient (r2) was calculated. As seen in Fig. 2B, for gels 1 to 6, the value of r2 ranged from 0.83 to 0.92. These findings indicated that the 2DE analysis was highly reproducible under the given conditions. Similar correlation coefficients were found for the 2DE analysis of the RSV-infected gels (not shown).
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FIG. 2. 2DE of soluble nuclear proteins. (A) SYPRO-Ruby-stained 2DE. High-salt extracts containing the soluble proteins from control or RSV-infected (24 h; MOI, 1.0) A549 cells. Proteins were fractionated over immobilized pH gradients from pH 5 to 8 in the horizontal dimension, followed by fractionation by SDS-PAGE in the vertical dimension. Left, apparent migration of molecular mass standards (in kilodaltons). The numbers indicate the spots identified by tryptic peptide mass fingerprinting in Table 1. (B) Gel-to-gel correlation of control replicates. Log normalized spot volumes for gel 1 were plotted pairwise versus gels 2 to 5, and the Pearson's correlation coefficient (cor) was calculated. (C) Hierarchical clustering. Normalized spot intensities were subjected to hierarchical clustering by treatment condition, and their relationships were plotted as a dendrogram. The y axis is dissimilarity. Gels 1 to 6, control nuclei; gels 7 to 12, RSV infected (one RSV-infected gel was excluded due to poor spot resolution). Note that the gels from similar treatments cluster in the same node.
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Identification of differentially expressed proteins.
For each 2DE analysis, the change (the ratio of the mean normalized spot volume of treated versus control gels) and a paired t test were calculated (adjusted for multiple-hypothesis testing using the Bonferroni correction) for spots identified in four of the six replicates of each treatment group. We focused on identifying proteins whose RSV-induced change was >2.0-fold and whose corrected t test statistic was <0.05. From this analysis, 12 spots were identified in the whole-nuclear extracts fractionated in the first dimension over the pH range 3 to 10, 7 spots were identified in the whole nuclei fractionated over the pH range 5 to 8, 18 spots were identified in the soluble (high-salt) fraction, and 28 spots were identified in the insoluble (postnuclear-pellet) fraction and subjected to tryptic peptide mass fingerprint analysis by MALDI-TOF. The resulting peptide masses were then used to match proteins in the National Center for Biotechnology Information human database using a Bayesian search algorithm (73). If a protein did not match any human proteins, the search was repeated against a viral-protein database. Proteins whose statistical indicators gave a high-probability identification are shown in Table 1 and are labeled in the representative gels (Fig. 2A). In the intact nuclear preparations fractionated over a pH range from 3 to 10, cytoskeletal proteins (lamin A and C and cytokeratin 18), Mn superoxide dismutase (MnSOD), and 3'-5' RNA exonuclease were upregulated by RSV. In the whole-nuclear samples fractionated over the pH range 5 to 8, upregulation of the TAR DNA binding protein was identified in two separate spots in the RSV-infected nuclei. The TAR DNA binding protein is an RNA binding protein that is associated with nuclear structures, including GEM and the ND10 structures (71). In the soluble nuclear subfractions, we found downregulation of nuclear RNA helicase and upregulation of thioredoxin peroxidase, Hsp 70- and 60-kDa isoforms, and phospholipase C-
. In the insoluble postnuclear pellet, the abundance of enolase 1 was downregulated, whereas that of cytokeratin 18 was upregulated (in agreement with its upregulation in the whole-nuclear analysis). We did not identify any RSV proteins in the nuclear fractions.
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TABLE 1. Differentially expressed proteins in nuclei of RSV-infected cellsa
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FIG. 3. Validation of nuclear Hsp70 expression. (A) Total ion chromatogram of tryptic digest corresponding to spot 16 (Fig. 1A and Table 1). Both parent ions, with m/z of 541.78 and 627.30, were selected for MS/MS analysis. (B) MS/MS spectrum of parent ion 627.30. Fragment ions produced by collision induced dissociation in tandem MS. The deduced sequence of the peptide, from the NH2 terminus, is shown in single-letter amino acid code (red lettering, top), and that from the COOH-terminus is shown beneath (blue). The NH2-terminal sequence is FEELNADLFR, matching the coding sequence of Hsp70 (amino acids 305 to 314). MS/MS analysis of parent ion 541.78 also exactly matched Hsp70.
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FIG.4. RSV-induced Hsp70 redistribution. (A) Immunofluorescence microscopy. Control (mock-infected; 0 h) or RSV-infected (24 h; MOI, 1.0) cells were fixed and stained with anti-Hsp70 (top), or nuclei were stained with DAPI (bottom). Shown is a single confocal slice of the stained cells. Hsp70 was detected in a finely granular distribution throughout the cytoplasm in uninfected cells. Conversely, in RSV-infected cells, the distribution of cytoplasmic Hsp70 was more punctate, and some apparent nuclear redistribution could be observed. (B) Nuclear accumulation of Hsp70. Control or RSV-infected cells were fixed, and the cytoplasm was permeabilized and digested with pepsin prior to being stained with Hsp70 (top) or DAPI (bottom). Hsp70 was strongly associated with the nucleus after RSV infection.
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FIG. 5. RSV induces Hsp family gene expression in distinct profiles. (A) Hierarchical clustering of mRNA profiles. A previously reported database of RSV-inducible gene expression in A549 cells was mined for RSV-induced expression changes in all Hsp genes (74). The following Hsp family members were represented on the chip, and their profiles were extracted: Hsp40B1 (GenBank accession no. D85429), -70 (GenBank accession no, M11717), -70-2 (GenBank accession no. M59830), -90 (GenBank accession no. J04988), -70p2 (GenBank accession no. L26336), and -40 (GenBank accession no. U40992); Hsc70 (GenBank accession no. L12723), -40 (DnaJ homolog; GenBank accession no. U40992), -70p9B (GenBank accession no. L15189), -40-3 (GenBank accession no. AF088982), -27 (IFN inducible; GenBank accession no. X67325), and -B3 (GenBank accession no. U15590). Because of the variable level of expression of the individual genes, the average signal intensity (SI) was normalized by the Z score, where deviation from the mean is measured in standard-deviation units. The Z score is determined for any cell i by the formula Z = (SIi SIrow)/SD, where SIrow is the average signal intensity for the gene (across the row) and SD is the standard deviation. The data are represented as a heat map, where each value is the colored representation of the calculated Z score for each time point. The scale is represented by red (Z > +1.2), green (Z < 1.2), and black (Z = 0). At the left is a dendrogram indicating the mathematical dissimilarity of the expression profiles. Genes with similar expression profiles are grouped together and are connected by a short line that connects the two nodes. Two major clusters are seen; the first group are genes expressed at time zero, transiently induced by RSV 6 to 12 h after infection and later falling (representing Hsp40B to Hsp90, indicated at the right), and the second group are genes not expressed at time zero and induced 24 and 36 h after RSV infection (Hsp 40-3, Hsp 27, and Hsp B3). (B) Profile of responses for Hsp subgroups. The average signal intensity changes from three independent microarrays are plotted as a function of time. Top, the profile of the 12-h induced Hsp genes, including Hsp70. Hsp70 mRNA abundance is significantly influenced by RSV infection [analysis of variance with replicates, Pr(F) = 0.0143]. Middle, the profile of Hsc70 and coclustering genes. Bottom, induction profile of Hsp27 and associated genes.
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FIG. 6. ND10 redistribution as a function of RSV infection. (A) Redistribution of PML. Immunofluorescence microscopy was performed using anti-PML antibody (top). The bottom images are DAPI-stained nuclei. Left, control cells; right, RSV infected. In control cellular nuclei, PML is present in distinct ND10 structures. In RSV-infected cells, strong PML immunofluorescence is redistributed into the cytoplasm. (B) Redistribution of Sp100. Immunofluorescence using anti-Sp100. The bottom images are as in Fig. 6A. (C) Effect of RSV in expression of ND10 major structural proteins. Hierarchical clustering and heat map of ND10 structural proteins represented in the A549 genomic database, including Sp100 (GenBank accession no. M60618), Daxx (GenBank accession no. AB015051), NDp52 (GenBank accession no. U22897), Sp100B (GenBank accession no. U36501), PML (GenBank accession no. M79463), Blooms' helicase (BLM; GenBank accession no. U39817), replication protein A 14 kDa (Rpa; GenBank accession no. L07493), and replication protein A 70 kDa (RepA; GenBank accession no. M63488). The data are calculated and presented as described for Fig. 5A. RSV induces the coordinate expression of PML, Sp100B, NDp52, Daxx, and Sp100. (D) Western immunoblot analysis of PML and Sp100 protein expression in A549 cells. Cells infected with RSV for 0 (uninfected), 12, 24, and 36 h were fractionated by one-dimensional SDS-PAGE and probed with the indicated antibody. ß-Actin was used as a loading control. ND10 redistribution occurs in the setting of increased expression of PML and Sp100.
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2DE using immobilized pH gradients coupled with MS is now able to spatially resolve and identify thousands of proteins and has become an effective tool for global proteomics analyses. Although the use of IPG strips has improved the gel-to-gel reproducibility of this technique (27), few studies have undertaken a rigorous statistical treatment because of the labor-intensive nature of 2DE gel analysis. Using a newly available automated spot detection algorithm, our experimental approach was designed, in part, to evaluate this semiquantitative approach to differential protein expression. Rather than using a typical single pairwise comparison for which statistical confidence could not be determined, we ran six independent gels for each treatment condition or extraction method and identified proteins by a Bonferroni-adjusted t test. In our analysis, we found that, even for identically treated samples, in six replicates, the coefficient of variance of each spot averaged 0.32 and, surprisingly, was independent of the normalized spot intensity. We have evaluated multiple methods for gel-to-gel comparison to determine which method best minimized the coefficient of variation (data not shown). These methods included scaling each gel to the total spot intensity, normalizing spot intensities to a group of spots on the same gel whose expression did not change as a result of treatment, normalizing spot intensities to externally spiked (reference) proteins, or normalizing spot intensities to the total signal of the individual gel. Surprisingly, none of these methods was consistently superior to analyzing the gels using the raw (unnormalized or unscaled) spot intensity. Because normalizing spot intensities to the total signal of the individual gel is an accepted practice in the field (56), we chose that method of analysis. Our data, therefore, may be limited, in that proteins whose levels significantly changed may not have been identified by our filtering strategy because of the noise in the determination of spot intensity. This failure to detect true positives would represent an unknown type II error. It is important to note that although the overall spot distributions between control and RSV-infected gels were distinct (hierarchical clustering in Fig. 2C), only 24 differentially regulated proteins were identified. Better approaches in sample preparation and methods for gel-to-gel comparison and statistical adjustments for multiple-hypothesis testing are needed. In addition, 2DE analysis is skewed toward identification of higher-abundance proteins, which proved to be the case in this study as well. Equally important regulatory proteins, such as transcription factors and kinases, are likely below the limit of detection of current 2DE systems using crude cellular proteins. Identification of these lower-abundance proteins will require sample prefractionation or other enrichment techniques. Thus, questions regarding the global changes in regulatory proteins are still unresolved and will require further investigation.
In spite of these limitations, our findings provide intriguing new insight into homeostatic nuclear changes in response to RSV infection. In both the whole-nuclear and insoluble-protein fractions, we identified alterations in cytokeratin expression. Cytokeratins are important components of intermediate filaments of the cytoskeleton and are expressed in cell-type-restricted patterns in the respiratory tract. In fact, patterns of cytokeratin expression have been used as markers of cellular differentiation. Previous work has shown that cytokeratin isoforms 7, 18, and 19 are normally expressed in bronchial epithelial cells (64). Although it has been reported that toxicant exposure can induce alterations in cytokeratin isoforms in the respiratory tree (67), the effects of viral replication on cytokeratin expression have not been investigated. Using differential-display analysis of RSV-infected Hep2 cells, cytokeratin 17 expression was found to be induced late in the course of RSV replication (after 4 days [19]). Here, the protein localized to the cell membrane in regions of syncytium formation, perhaps suggesting its participation in virus-mediated cell fusion. Although we observed downregulation of cytokeratin 8 and upregulation of cytokeratin 18 isoforms, our analysis was at an earlier time point, and we therefore would not have detected changes in cytokeratin 17 expression. The cellular consequences of altered cytokeratin expression have not been fully evaluated. One study showed that expression of cytokeratins 8 and 18 induces enhanced cellular migration (15). Also, we note earlier studies which indicated that components of the actin cytoskeleton stimulate RSV transcription. Although it is interesting to speculate that induction of cytokeratin expression may be adaptive for viral transcription (36), the consequences of differential cytokeratin isoform expression for RSV spread or pathogenesis are unknown.
The heat shock proteins are encoded by a family of highly specialized genes with pleiotropic actions. In this study, we observed the nuclear accumulation of Hsp 70- and 60-kDa isoforms in response to RSV replication. Under noninfectious conditions, Hsp70 is known to inhibit the aggregation of nascent or misfolded proteins (33), control nuclear import of transcription factors, and prevent apoptosis by blocking formation of the apoptosome or inhibiting the apoptosis-inducing factor (61, 63). Viral infection with RSV likely produces a misfolded-protein stress response, and therefore, coordinate Hsp expression may be highly adaptive for the virus to prevent the aggregation of viral structural proteins during replication. In fact, Hsp70 expression is required for optimal adenovirus replication (3) through mechanisms that have not yet been fully elucidated. In the separate example of canine distemper virus, cytoplasmic Hsp70 complexes with viral nucleocapsid, leading to enhanced viral transcription. In parallel, Hsp70 association with nucleocapsid (N) protein leads to its trafficking to complex intranuclear inclusion bodies. As a result, Hsp70 plays a role in viral transcription (58) and induction of cytopathic effect (70). To our knowledge, Hsp70 induction has not been reported in RSV infection; interestingly, our data suggest that nuclear Hsp70 is not homogeneously distributed throughout the nucleus, perhaps suggesting that it is associated with other cellular or (yet to be identified) viral proteins.
In addition to its role in preventing protein aggregation, Hsp70 has been reported to be part of the poly(A) binding protein-AU factor 1 binding complex, a complex that controls the turnover of unstable RNAs containing 3'-untranslated-region AU-rich elements (44). In this capacity, nuclear Hsp70 may be important for sequestering this complex and playing a part in cytokine and chemokine mRNA induction in RSV-infected cells. It was observed earlier that IFN stimulation induced changes in RANTES mRNA stability (12); it should be noted that beta interferon secretion is strongly induced in this model of RSV replication (40). Thus, it is intriguing to speculate that nuclear Hsp70 may be responsible for sequestering poly(A) binding protein-AU factor 1, thereby playing a role in the posttranscriptional component of RANTES gene expression in RSV-infected cells. This hypothesis requires additional study.
Hsp70 expression is highly inducible by a variety of cellular stressors, including heat, abnormal amino acids, intracellular oxidation, and viral infections. For the DNA viruses, herpes simplex virus (HSV), cytomegalovirus (CMV), and adenovirus, the heat shock response is induced in infected cells as a consequence of specific virally encoded proteins. Adenovirus protein E1A (55), the avian adenovirus Gam1 antiapoptotic protein (26), the CMV immediate-early proteins 1 and 2 (13), and HSV ICP0 (42) have all been observed to induce Hsp70 expression. Although the proteins responsible have not yet been identified, enhanced Hsp70 expression has been shown in response to Newcastle disease virus (18) and the morbillivirus canine distemper virus (58). The proteins involved in Hsp70 expression in response to RSV will require further investigation.
The TAR DNA binding protein was previously identified as an RNA-splicing factor that associates with ND10 structures (9, 71). Our identification of increased nuclear TAR DNA binding protein by 2DE analysis led to a surprising finding that ND10 structural proteins are induced by RSV, and the structures themselves apparently dissolve, allowing PML and Sp100 to translocate into the cytoplasm. ND10s are dynamic macromolecular complexes of helicases and transcription factors that are important sites for transcriptional control (51, 54). ND10s are known to be sites for genomic replication of several DNA viruses, including herpesviruses, adenoviruses, and simian virus 40 (reviewed in reference 49). Here, specific proteins encoded by the DNA viruses disrupt ND10 by modifying interactions between the constituent proteins; these viral protein disruptors include the HSV type 1 ICP0 protein (50) and the human CMV immediate-early 1 gene product IE72 (43). In these examples, ND10 disruption is apparently accomplished by interfering with the modification of PML by the small ubiquitin-like modifier, SUMO-1, a posttranslational modification important in forming ND10s (53). Other agents have been observed to disrupt ND10 structures as well, including heat shock and cadmium (54). Heat shock induces a transient, selective loss of Sp100 from ND10s but preserves the association of PML, whereas cadmium induces selective PML dissociation from ND10s (54). In contrast to our findings for RSV infection, where ND10 disruption is associated with cytoplasmic redistribution of PML and Sp100, in these previous studies, the PML and Sp100 released from ND10 structures apparently remain in the nucleus (52, 54).
Our findings are the first to indicate that Paramyxovirus infection affects ND10 structure, even though viral transcription and replication are entirely cytoplasmic. Interestingly, IFN treatment has been found to induce the expression of PML, Sp100, and NDp52, doubling the number and size of ND10s and preventing their subsequent disruption by virus (reviewed in reference 49). Because these proteins are IFN inducible, some have suggested that they may also play a role in antiviral defense. For example, it has been observed that PML expression inhibits vesicular stomatitis virus and influenza virus replication and cytopathic effect (14). It may be possible, therefore, that cytoplasmic translocation of PML and Sp100 to the site of RSV replication is antiviral, serving to limit RSV replication. This question merits further study. Moreover, it is surprising that, despite the induction of many structural ND10 proteins, including the TAR DNA binding protein, Daxx, Sp100, and PML, the ND10s dissolve during the course of RSV infection. Recently, it has been shown that heavy metals induce intranuclear redistribution of ND10s through a p38MAP kinase pathway (54). It has been shown that MAP kinases are rapidly activated by RSV replication (60); perhaps this signaling pathway is also partly responsible for ND10 redistribution in RSV infection.
Finally, it is noteworthy that RSV induces a number of distinct enzymes involved in the maintenance of the redox state. RSV replication induces the formation of reactive oxygen species that play important roles in inflammatory-chemokine expression in A549 cells (10). Our 2DE analysis has identified MnSOD, ERp57/Grp58, and thioredoxin peroxidase as being upregulated by RSV infection. ER57/Grp58 is a mitogen-inducible (thiol-dependent) reductase (35). Thioredoxin peroxidase is an antioxidant enzyme controlling the NF-
B pathway (41), a transcription factor induced by RSV replication (23). These enzymes may play important roles in antioxidant defense in response to RSV-induced reactive oxygen species.
In summary, we have applied both 2DE-MS and microarray approaches to investigate the nuclear responses to cytoplasmic RSV replication in A549 cells. Our findings indicate that cytoplasmic RSV replication induces a coordinated expression of heat shock protein family members and produces a nuclear heat shock response involving the accumulation of the Hsp 70- and 60-kDa isoforms, whose effects on viral replication require further investigation. Although RSV induces expression of PML and Sp100, structural proteins forming the ND10, surprisingly, RSV disrupts the ND10 structures and produces their nuclear-to-cytoplasmic redistribution. Here, cytoplasmic PML-Sp100 may confer an antiviral response. Thus, a high-resolution proteomics discovery approach, combined with cellular imaging and targeted genomic data mining, has led to novel insights into compensatory cellular responses to RSV infection.
This work was supported by NIAID grant AI40218 (A.R.B.); NHLBI contract N01-HV-28184, Proteomic Technologies in Airway Inflammation (A.K.); NCI grant 1R24CA88317 (A.K.); and NIEHS P30 ES06676, Center in Environmental Toxicology (J. Halpert, University of Texas Medical Branch).
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