Department of Physiology and Medicine, Geffen School of Medicine, UCLA and VA Greater Los Angeles Health Care System, Los Angeles, California 90073,1 Department of Internal Medicine, Seoul National University Bundang Hospital, Seoungnam, Gyeonggi-Do 463-707,2 Department of Internal Medicine, Seoul National University College of Medicine, and Liver Research Institute, Seoul 110-799, Korea3
Received 5 November 2003/ Returned for modification 6 January 2004/ Accepted 13 January 2004
| ABSTRACT |
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28 factor antagonist flgM, flgG, the stress response gene, flaA, omp11, and the superoxide dismutase gene (sodB) were down-regulated. The up-regulation of cag3, flgB, tonB, rho, and deaD was confirmed by quantitative PCR, and the up-regulation of lpxD, omp6, secG, fabH, HP1285, HP0222, and HP0836 was confirmed by reverse transcription (RT)-PCR. The down-regulation of flaA, sodB, and HP0874 was confirmed by quantitative PCR, and the down-regulation of omp11 was confirmed by RT-PCR. The alteration of gene expression in H. pylori after adhesion to gastric cells in vitro suggests that changes in motility, outer membrane composition, and stress responses, among other changes, may be involved in gastric colonization. | INTRODUCTION |
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Several approaches have been used to detect differentially expressed genes, including subtractive hybridization (49), differential display (34, 50), serial analysis of gene expression (54), and, more recently, cDNA arrays (12, 15, 20). The advantage of the cDNA array technology is that it allows simultaneous examination of all the genes expressed by organisms whose sequences are complete, since the DNA chips contain all the open reading frames (ORFs) of these organisms.
In several studies the workers have used microarray technology to investigate H. pylori-induced changes in host gene expression, such as changes in AGS cell gene expression (1, 8, 21, 37, 38, 47), or the strain-specific gene diversity of H. pylori without host cells (4, 28, 29, 31, 44). Less is known about host cell-induced gene expression in H. pylori. This is likely due to the difficulty of obtaining sufficient RNA from the bacteria compared to the amount of RNA of the host cells. However, it has been shown by array analysis that inactivation of an H. pylori DNA methyltranferase (hpyIM) alters dnaK operon expression following AGS cell adherence (11).
A goal of genomic expression studies of pathogenic bacteria is to identify bacterial genes that are differentially regulated as a result of infection within the host. In this pool of genes are those genes that allow a microbe to adapt to host-specific microenvironments or that encode virulence determinants or have other functions. Ideally, studies of this kind should compare the expression profiles of bacteria under standardized in vivo conditions of infection. Unfortunately, this technically formidable goal has not been achieved by using nonamplification methods because the number of organisms within infected tissues is often small and RNA from host cells is so much more abundant than bacterial RNA. Recently, Graham et al. examined H. pylori gene expression in human tissue by using selective capture of transcribed sequences (19). To identify bacterial genes that are differentially regulated as a result of infection within the host, the gene expression of H. pylori affected by gastric cells should be compared with that of H. pylori in the absence of eukaryotic cells under the same conditions. Since it is not possible to faithfully replicate in vivo conditions, including the varying hydrogen ion, bicarbonate, and urea concentrations, in vitro methods have to provide initial information concerning specific host-regulated genes that can subsequently be identified in vivo by methods such as real-time PCR.
To overcome the difficulty of obtaining sufficient RNA from the bacteria instead of the host cells, green fluorescent protein (GFP)-expressing H. pylori in the log phase was used with AGS cells, and full adhesion to these cells was verified by confocal microscopy. Then 33P-labeled cDNA derived from the coculture RNA was hybridized to H. pylori gene array membranes only after the quantity and quality of bacterial rRNA in the preparation had been confirmed to be comparable to the quantity and quality of eukaryotic rRNA by capillary electrophoresis.
Adhesion resulted in consistent 2.2- to 5.2-fold up-regulation of 22 H. pylori genes and simultaneous 2.2- to 5.7-fold down-regulation of 21 H. pylori genes. Up- or down-regulation of some of these genes was confirmed by quantitative PCR (qPCR) and reverse transcription (RT)-PCR analyses. Since AGS cells are a gastric cancer-derived cell line, the effects of a mucous layer and receptor phenotypes on H. pylori could be different from the effects of either in vivo gastric cells or primary cell lines. Nevertheless, in vitro data are a prerequisite for analysis of expression of these genes in the gastric environment.
| MATERIALS AND METHODS |
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Bacteria were grown for 16 h under microaerobic conditions (5% O2, 10% CO2, 85% N2) at 37°C on Trypticase soy agar II plates supplemented with 5% sheep blood. The bacteria were harvested and resuspended in RPMI 1640 medium (BRL/Life Technologies Inc., Gaithersburg, Md.).
AGS cells were grown to confluence in tissue culture flasks. Each AGS monolayer was washed twice with RPMI 1640 medium. H. pylori was added at a multiplicity of infection of more than 1,000:1 and incubated at 37°C in a microaerobic atmosphere for a total of 4 h. An identical amount of H. pylori was added to a flask without AGS cells and incubated in the same way as the H. pylori-AGS cell coculture. This allowed analysis of gene regulation in the organism resulting from attachment to and culture with the AGS cells. A noninfected flask of AGS cells served as a negative control for RNA isolation to ensure that no contaminating signals derived from eukaryotic RNA were present. The RPMI 1640 medium did not include any additives, such as fetal bovine serum or antimicrobial agents.
After 1 h of coincubation, the H. pylori-AGS cell coculture was washed twice with RPMI 1640 medium to remove unattached H. pylori cells and debris, which eliminated unattached organisms from the analysis. The RPMI 1640 wash medium was prewarmed at 37°C to avoid stressing either H. pylori or the AGS cells. One hour was sufficient time for tight attachment of H. pylori to AGS cells, as confirmed by confocal microscopy. After washing, incubation was continued for an additional 3 h. At the end of the incubation period, the H. pylori-AGS cell coculture was washed two times with phosphate-buffered saline (pH 7.4, 37°C) to remove detached H. pylori cells. All of the control flasks were treated in the same way.
Confocal microscopy. Confocal microscopy experiments were performed with a Zeiss LSM 510 microscope (Carl Zeiss Inc., Jena, Germany). The AGS cells were grown on 25-mm coverslips, and H. pylori strain 69a expressing GFP was added at the same density that was used for the coculture. The coverslips were treated in the same way that the cocultures were treated, with two washes after 1 h of incubation and two washes after an additional 3 h of incubation. The AGS cells were then stained with the fluorescent cationic dye dicarbocyanine [DiSC3(5)] (red emission) to contrast them with the GFP-expressing microbes. The specific membrane attachment of H. pylori strain 69a expressing GFP was characterized by observing an H. pylori-AGS cell coculture in the z axis of the microscope field. The excitation wavelength for GFP was 488 nm, and the emission wavelength was 530 nm; for DiSC3(5) the excitation and emission wavelengths were 543 and 610 nm, respectively. This allowed excellent visualization of the quantity of adherent organisms.
RNA extraction and DNase digestion. For RNA extraction, AGS cells alone and H. pylori and AGS cells in coculture were treated with the TRIzol reagent (Invitrogen/Life Technologies Inc.) and incubated at room temperature for 5 min to permit complete dissociation of nucleoprotein complexes. After the lysates were transferred to 1.7-ml Eppendorf tubes and chloroform (one-fifth the volume of TRIzol reagent) was added, the tubes were mixed by inversion for 15 s and incubated at room temperature for 2 to 3 min. After centrifugation for 15 min at 11,500 x g and 4°C, the colorless upper aqueous phase containing RNA was collected. Further purification was performed with an RNeasy mini kit (Qiagen Inc., Valencia, Calif.) by following the manufacturer's instructions. The culture containing only H. pylori was centrifuged and also washed twice with phosphate-buffered saline, and TRIzol was directly applied to the pellet; the preparation was then treated just like the H. pylori and AGS cells in coculture were treated.
To remove all the genomic DNA, RNA was treated with DNase I (Invitrogen/Life Technologies Inc.) and RNasin (Promega, Madison, Wis.) for 20 min at 37°C. The RNA was precipitated with ethanol following phenol extraction.
Identification of the source of the RNA. Since the amount of prokaryotic RNA in the coculture was a relatively small fraction of the total RNA, it was important to ensure that similar quantities of RNA from H. pylori were used to generate the cDNAs that were hybridized. The RNA extract was evaluated with an RNA 6000 Nano assay by using an Agilent 2100 bioanalyzer (Agilent Technologies, Mountain View, Calif.). The ratio of the quantity of H. pylori RNA obtained from H. pylori alone to the quantity of RNA obtained from an H. pylori-AGS cell coculture was calculated by using the relative peak ratio for prokaryotic 23S rRNA in the two samples, and the quantities were adjusted so that they were equal in the cDNA generation reaction mixture. The quantity of AGS cell RNA was adjusted so that it was equal to the quantity in the H. pylori-AGS cell coculture by using the 28S rRNA peak to check whether any contaminating signal on the H. pylori filter array could have come from AGS cells.
Preparation of 33P-labeled cDNA, gene array hybridization, and analysis of the arrays. After denaturation of RNA for 5 min at 70°C and chilling on ice for 3 to 4 min, a 6-mer random primer (a generous gift from Sigma-Genosys Inc., The Woodlands, Tex.), [33P]dCTP, dATP, dGTP, dTTP, and avian myeloblastosis virus reverse transcriptase were added to initiate the cDNA synthesis reaction. Labeled cDNA was purified by using Sephadex G-25 spin columns, and the level of 33P-labeled cDNA was determined by scintillation counting.
The 33P-labeled cDNA preparations were hybridized at 65°C overnight to Panorama H. pylori gene array membranes (Sigma-Genosys Inc.), which contained 1,681 PCR-amplified ORFs representing all putative H. pylori strain 26695 protein-encoding genes (1,590 genes) and 91 protein-encoding genes of H. pylori strain J99 that are unique to this strain. Strain 69a harbors a few genes that are unique to this strain, and these genes were not expressed on this array membrane. After washing, the membrane was exposed on a phosphorimager screen (Molecular Dynamics, Sunnyvale, Calif.). To determine the intensity of each spot on the array, image files were analyzed by using the ImageQuant package (Molecular Dynamics). Relative signals from different arrays were normalized by comparing the signal from a gene to the total signal from all spots on the array. The cutoff for significant up- or down-regulation of genes was defined as a twofold difference. The consistently up- and down-regulated genes found in four separate experiments were identified, and the statistical difference between the H. pylori-AGS cell coculture and H. pylori alone was analyzed by the Mann-Whitney U test. A P value of <0.05 was considered statistically significant. The nature of some of the additional genes with unknown functions was determined by homology by using the Blast search program.
Real-time qPCR. Unique primers were designed for 100- to 300-bp regions of selected up- and down-regulated genes seen in the array. Primer design was aided by the Primer 3 software available at http://www-genome.wi.mit.edu/genomesoftware/other/primer3.html (43). A total of 7 of 22 up-regulated genes (cag3, flgB, tonB, rho, deaD, pflA, and thrS) and 7 of 21 down-regulated genes (flaA, sodB, HP0874, HP1286, thioredoxin gene, ferrodoxin gene, and HP0920) were selected on the basis of two criteria: (i) the function of the gene was known, and (ii) the level of RNA expression of the gene in H. pylori alone was not so low that it increased the validity of the qPCR. The RNA expression level for each gene was calculated by comparing the signal from the gene to the total signal from all spots on the array. The primers used in real-time reactions are listed in Table 1. Standard PCR performed with genomic DNA from H. pylori strain 69a expressing GFP as the template was used to check that all primer pairs resulted in amplification of a single product.
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RT-PCR analysis. Primers were designed for 15 of the 22 up-regulated genes (lpxD, omp6, secG, fabH, HP1285, HP0222, HP0836, HP0582, infC, HP0906, HP0118, omp19, HP0757, HP1430, and HP0973) and for 14 down-regulated genes (omp11, flgM, flgG, HP0359, HP1548, HP1326, HP0241, HP0113, HP0218, HP1510, HP0427, HP0682, HP1408, and JHP0332) as an alternative to qPCR. The cDNA templates for RT-PCR were synthesized by RT reactions from H. pylori alone and the H. pylori-AGS cell coculture by using avian myeloblastosis virus transcriptase (Sigma-Genosys Inc.). The cDNAs were used as the templates, and the PCRs were performed with the primer pairs shown in Table 2.
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| RESULTS |
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Gene expression of H. pylori adhering to AGS cells. When the phosphorimages of the H. pylori-AGS cell coculture were compared with those of H. pylori alone (n = 4), no statistically significant differences in the levels of expression of the H. pylori ureA, ureB, and Hsp60 genes were detected. The mean changes in ureA, ureB, and Hsp60 expression were -0.6-, -0.7-, and 0.6-fold, respectively (Fig. 3). These genes can be considered housekeeping genes for this organism under these conditions since their levels of expression were not affected. This relative constancy also validates the comparison between the organisms under these two conditions.
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When the 22 up-regulated genes were classified by function, as shown in Table 3, several different types of genes were found. A PAI gene, cag3 (HP0522), and genes encoding two chemotaxis and motility gene products, paralyzed flagellar protein (pflA [HP1274]) and flagellar basal body rod protein (flgB [HP1559]), were up-regulated. A cell envelope gene encoding UDP-3-0-(3-hydroxymyristoyl)glucosamine N-acyltransferase(lpxD [HP0196]), two outer membrane protein genes (omp6 [HP0229] and omp19 [HP0896]), a protein secretion gene (secG [HP1255]), and two siderophore-mediated iron transport genes (tonB [HP1341] and HP0582) were also up-regulated, as were genes encoding the transcription termination factor Rho (rho [HP0550]), the ATP-dependent RNA helicase DEAD-box family (deaD [HP0247]), translation initiation factor IF-3 (infC [HP0124]), and threonyl-tRNA synthetase (thrS [HP0123]).
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When the 21 down-regulated genes were classified, as shown in Table 4, the mRNA levels of three chemotaxis and motility genes, namely, the gene encoding a temporal regulator of flagellar apparatus biogenesis (flgM homolog [HP1122]), a flagellar basal-body rod gene (flgG [HP1585]), and a flagellin A gene (flaA [HP0601]), decreased. HP1122 is identical to the flgM gene, a
28 factor antagonist that regulates flagellar gene expression (32), in H. pylori strains N6, BO242, SS1, NCTC11637, CC7C, CC48A, BO255, RE8029, and CC29C. A cell envelope gene encoding an outer membrane protein (omp11 [HP0472]) was also down-regulated, as were energy metabolism genes, such as the genes encoding thioredoxin (HP1458) and ferrodoxin (HP0277), the detoxification gene, the superoxide dismutase gene (sodB [HP0389]), the gene encoding a predicted dihydroneopterin aldolase (HP1510), and three conserved genes, including two genes encoding predicted integral membrane proteins (HP0920 and HP1548) and a gene encoding a predicted secreted protein (HP1286).
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qPCR. All qPCR primers for seven selected genes (cag3, flgB, tonB, rho, deaD, pflA, and thrS) confirmed that there was only one product when standard PCR was performed with strain 69a expressing GFP. However, two of the genes, pflA and thrS, showed cross-reactivity with AGS cell genomic DNA in PCR that could have interfered with interpretation of the real-time data, and qPCR could be performed for only five genes (cag3, flgB, tonB, rho, and deaD) with cDNA from H. pylori alone or from the H. pylori-AGS cell coculture. The amounts of H. pylori cDNA from H. pylori alone and from the H. pylori-AGS cell coculture were equalized by using the reference housekeeping gene ureA. The level of ureA (Fig. 4A) did not change in qPCR, whereas cag3 (Fig. 4B), flgB (Fig. 4C), tonB (Fig. 4D), rho (Fig. 4E), and deaD (Fig. 4F) were up-regulated in the coculture, in agreement with the array data. rho and deaD showed particularly prominent up-regulation in qPCR.
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Hence, whether qPCR or RT-PCR was used to confirm the microarray data, there was general agreement. The exceptions appeared to result from levels of gene expression too low to detect or quantify by these methods and indicate that repetitive microarray analysis might be a more sensitive method for detecting differences between levels of gene expression in H. pylori under different conditions, as observed previously for acid stress conditions (56).
| DISCUSSION |
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In functional genomics expression profiling of mRNA is used to provide a condition-specific and time-specific genome-scale snapshot of the transcriptome (16, 24). Since cDNA microarrays for the all the ORFs of two strains of H. pylori (26695 and J99) are available, global gene analysis is possible with an array in which all the known genes are present. Whether fabricated as a slide microarray (9, 14, 45, 56), a high-density oligonucleotide array (35, 36), or nylon membrane macroarrays, this analytical tool provides a way to analyze genes of H. pylori whose expression is different under different conditions. The example analyzed here is the effect of adhesion to AGS cells, whereas previously acid-adaptive genes were used (56). Presumably, both sets of genes must be regulated to optimize colonization efficiency.
In most previous studies (1, 2, 6, 8, 10, 27, 38, 42, 47) the workers characterized the host cell RNA response to attached bacteria since preparation of sufficient RNA from host cells is less challenging. In each of these studies the workers used transformed cell lines, relatively large multiplicities of infection, and a short time course in order to induce and study early events. As H. pylori persists for life in a host stomach, which can result in several gastrointestinal diseases, it is difficult to extrapolate the results of H. pylori gene expression after 4 h of coculture in vitro to the gene expression on an in vivo time scale. However, 4 h is shorter than 24 or 48 h (15, 59), and the results might reflect the early events of gene expression in H. pylori. Furthermore, our experiments were designed to detect genes altered by direct contact with the organisms; hence, a membrane filter separating the bacteria and AGS cells was not appropriate.
The problem that there has been no efficient method available for extraction of bacterial RNA without a decrease in the level of RNA from host cells or degeneration of the host cell RNA was solved here in several ways, including the use of GFP-expressing organisms and confocal microscopy to select only adherent microbes, the use of quantitative comparative RNA analysis to ensure that there was a significant amount of microbial RNA, and the use of either qPCR or RT-PCR to confirm that the microarray data remained consistent for at least four individual experiments. It was also found that short-term culture of H. pylori was necessary to ensure log-phase growth conditions. There was also no contamination of signal from the AGS cells on the bacterial microarray.
Entirely consistent data for 43 genes were obtained in four different experiments, indicating that the results presented here reflect reproducible changes in gene expression induced by adhesion of the GFP-expressing organisms to a gastric cell line. Furthermore, qPCR (Fig. 4 and 5) and RT-PCR (Fig. 6) confirmed many of the microarray results, validating the array approach.
The H. pylori cag PAI, a 40-kb locus that has been linked to H. pylori virulence, contains 31 genes. It induces epithelial cells to secrete interleukin 8 by activating NF-
B (48), remodeling the host cell surface with pedestal formation (46), phosphorylating secreted CagA in the host cell (51), activating transcription factor AP-1, and expressing the protooncogenes c-fos and c-jun by activation of the extracellular signal-regulated kinase-mitogen-activated protein kinase cascade, resulting in ELK-1 phosphorylation and increased c-fos transcription (39). However, little is known about which specific gene in the cag PAI induces these changes. Adhesion of H. pylori to AGS cells up-regulated only cag3 of the 31 genes of the cag PAI. The protein encoded by cag3 has recently been identified as an antigen in sera from infected patients (22), suggesting that cag3 might encode a protein that contributes to the cag PAI-induced host cell changes.
Bacterial flagella consist of three distinct parts connected in series, a basal body in the membrane, a short curved rod (the hook), and a long helical filament. The annotated genomic sequence of HP26695 contains at least 40 genes, scattered throughout H. pylori genome, which are likely to be involved in flagellar function and/or assembly (52). Some of these flagellar genes of H. pylori were regulated by host cell adhesion, and they also were regulated by acid exposure (56). Two flagellar genes, the genes encoding paralyzed flagellar protein (pflA) and flagellar basal-body rod protein (flgB), were up-regulated (Table 3), and three genes, flgM and the genes encoding flagellar basal-body rod protein (flgG) and flagellin A (flaA), were down-regulated in the organisms adhering to AGS cells (Table 4).
Analysis of the disrupted ORFs in nonmotile mutants of H. pylori showed that there was disruption of ORF HP1274 (encoding paralyzed flagellar protein; pflA) (3). As determined by electron microscopy, the nonmotile mutant had an aberration in the region where the flagella protrude from the bacteria (3). Apparently, the paralyzed flagellar protein is important for H. pylori motility. The induction of this paralyzed flagellar protein by AGS cells may be related to adherence of H. pylori to host cells and the subsequent loss of motility. The finding that not only pflA but also four other flagellar genes were up- or down-regulated by adhesion to AGS cells suggests that H. pylori reacts to host cell attachment by modifying the flagellar apparatus, which may result in adaptation of H. pylori to the host cell microenvironment by reducing the motility of the organism.
Some cell-envelope-protein-encoding genes also responded to cell adhesion differently. lpxD, omp6, and omp19 were up-regulated, and omp11 was down-regulated. This down-regulation of outer membrane protein genes has been found in other bacteria. Expression of omp1, encoding the major outer membrane protein of Chlamydia trachomatis, was also strongly attenuated in persistently infecting synovial Chlamydia (18) and in infected monocytes in vitro (17). These changes in outer membrane proteins may be related to the effects of the proximity of the bacterial outer membrane to the host cell membrane during adhesion, which modifies the composition of the cell envelope as an adaptation to cell adhesion.
The changes in gene expression also extended to inner membrane protein genes, such as the genes encoding the protein translocation protein, the low-temperature secretory complex protein (secG), the siderophore-mediated iron transport protein (tonB), and a predicted siderophore-mediated iron transport protein (HP0582), which were up-regulated (Table 3). In contrast, two conserved integral membrane proteins (HP0920 and HP1548) were down-regulated (Table 4).
Translocation of newly synthesized Escherichia coli proteins from the cytosol across the cytoplasmic membrane is facilitated by the concerted action of SecA ATPase and the SecYEG integral membrane complex (5). It has been reported that SecG of E. coli is defective at 20°C but normal at 37°C (41). However, protein translocation, which was related to the inward H+ electrochemical gradient, the proton motive force, was strongly dependent on SecG even at 37°C (23). Hence, induction of secG in H. pylori by AGS cell adhesion (3.0-fold) (Fig. 3A) may reflect an increase in membrane translocation of proteins in response to attachment of H. pylori to host cells.
Four translational genes, the genes encoding transcription termination factor Rho (rho), the ATP-dependent RNA helicase DEAD-box family (deaD), translation initiation factor IF-3 (infC), and threonyl-tRNA synthetase (thrS), were up-regulated (Table 3). Hence, translation of H. pylori genes might be enhanced by adhesion, as it is in other prokaryotes that interact with eukaryotic cells (53).
Transcription termination in response to metabolic changes in bacteria is an important way of regulating gene expression. For instance, a rho mutant strain of Caulobacter crescentus was viable in normal conditions, but its viability was greatly impaired when the cells were exposed to stress, especially oxidative stress (30), and the synthesis of several peptides was altered in this mutant strain, suggesting that the Rho factor is essential for an efficient response to stress in Caulobacter. The finding that rho was prominently up-regulated (4.7-fold) in the H. pylori-AGS coculture system (Fig. 3A) suggests that adhesion to AGS cells is interpreted as a stress condition by H. pylori.
In conclusion, hybridization of bacterial cDNAs prepared from high-quality bacterial RNA derived from bacterium-AGS cell cocultures to filter arrays showed that adhesion to AGS cells up-regulated 22 H. pylori genes and down-regulated 21 genes, and some of the data were confirmed by real-time PCR or RT-PCR. The multiple functions of the regulated genes indicate that adhesion of the organism to the gastric cell surface initiates pleiotropic adaptive responses. Functions can be inferred for many of the genes that were found to change due to adhesion. The change in gene expression when the bacterium is attached to a gastric cell line may reflect the responses found in vivo in addition to the responses to the composition of the gastric juice at the site of infection. A search for regulation of these genes during gastric infection could confirm the significance of these in vitro data, but without the in vitro data presented here, a search for genes that change during infection would be obscured by the changes in expression due to the presence of gastric juice. It may be that a correlation can be established between regulation of the genes in vivo and pathogenesis.
| ACKNOWLEDGMENTS |
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| FOOTNOTES |
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