Identifying putative candidate genes and pathways involved in immune responses to porcine reproductive and respiratory syndrome virus (PRRSV) infection
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ABSTRACT:
ORGANISM(S): Sus scrofa
SUBMITTER: juan steibel
PROVIDER: E-GEOD-25120 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
Similar Datasets
Project description:Porcine reproductive and respiratory disease (PRRS) is the most important disease in swine industry worldwide. However, strategies such as vaccination and good biosecurity are not consistently successful to eliminate PRRSV. Though some interesting pathways have been tentatively examined recently, host molecular pathways utilized by PRRSV and the protective immune responses in resistant to PRRSV are largely unknown. In order to answer these questions, we herein characterize changes in global gene expressions in multiple tissues [tonsil, tracheobronchial lymph nodes (TBLN), Cranial lung (CR Lung), and distal lung (D Lung)] in response to PRRSV of high and low virulence. Both vaccinated and unvaccinated pigs are used for this study. Based on Ingenuity Pathway Analysis (IPA), molecule bases of some “black boxes” underlying immune responses are further identified. Our results indicate that cross talks among these pathways and immune balances/competition between host and virus are always happened during the pathogenesis of PRRS. connected loop design was used to accommodate samples from 4 treatment groups.
2011-01-15 | E-GEOD-26642 | biostudies-arrayexpress
Project description:Porcine reproductive and respiratory disease (PRRS) is the most important disease in swine industry worldwide. However, strategies such as vaccination and good biosecurity are not consistently successful to eliminate PRRSV. Although some gene expression pathways have been explored recently, host molecular pathways blocked by PRRSV and the protective immune response expressed in pigs resistant to PRRSV are largely unknown. In order to answer these questions, we herein characterize changes in blood gene expression in pigs responding differentially to infection with a well characterized type 2 (North American) PRRSV isolate. Samples are those collected through the PRRS Host Genetics Consortium (PHGC). Samples were those from Tempus tube collected blood of PHGC pigs selected from four response groups according to their serum viral load (0-21 days post infection) and weight gain (0-42 dpi) and characterized as low vs. high viral load and low vs high weight gain . block reference design was used to accommodate samples from 4 treatment groups.
2012-09-26 | E-GEOD-41144 | biostudies-arrayexpress
Project description:The presence of variability in the response of pigs to Porcine Reproductive and Respiratory Syndrome virus (PRRSv) infection, and recent demonstration of significant genetic control of such responses, leads us to believe that selection towards more disease resistant pigs could be a valid strategy to reduce its economic impact on the swine industry. To find underlying molecular differences in PRRS susceptible versus more resistant pigs, 100 animals with extremely different growth rates and viremia levels after PRRSv infection were selected from a total of 600 infected pigs. A microarray experiment was conducted on whole blood RNA samples taken at 0, 4 and 7 days post infection (dpi) from these pigs. From these data, we examined associations of gene expression with weight gain and viral load phenotypes. The single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) on the porcine 60K SNP chip was shown to be associated with viral load and weight gain after PRRSv infection, and so, additionally, the effect of the WUR10000125 (WUR) genotype was examined. Limited information was obtained through linear modeling of blood gene differential expression (DE) that contrasted pigs with extreme phenotypes, for growth or viral load or between animals with different WUR genotype. However, using network-based approaches, molecular pathway differences between extreme phenotypic classes could be identified. Several gene clusters of interest were found when Weighted Gene Co-expression Network Analysis (WGCNA) was applied to 4dpi contrasted with 0dpi data. The expression pattern of one such cluster of genes correlated with weight gain and WUR genotype, contained numerous immune response genes such as cytokines, chemokines, interferon type I stimulated genes, apoptotic genes and genes regulating complement activation. In addition, Partial Correlation and Information Theory (PCIT) identified differentially hubbed (DH) genes between the phenotypically divergent groups. GO enrichment revealed that the target genes of these DH genes are enriched in adaptive immune pathways. There are molecular differences in blood RNA patterns between pigs with extreme phenotypes or with a different WUR genotype in early responses to PRRSv infection, though they can be quite subtle and more difficult to discover with conventional DE expression analyses. Co-expression analyses such as WGCNA and PCIT can be used to reveal network differences between such extreme response groups. three timepoints from 100 animals are hibridized following a blocked reference design; Blood gene expression of pigs 7 days post infection
2015-06-04 | E-GEOD-69514 | biostudies-arrayexpress
Project description:The presence of variability in the response of pigs to Porcine Reproductive and Respiratory Syndrome virus (PRRSv) infection, and recent demonstration of significant genetic control of such responses, leads us to believe that selection towards more disease resistant pigs could be a valid strategy to reduce its economic impact on the swine industry. To find underlying molecular differences in PRRS susceptible versus more resistant pigs, 100 animals with extremely different growth rates and viremia levels after PRRSv infection were selected from a total of 600 infected pigs. A microarray experiment was conducted on whole blood RNA samples taken at 0, 4 and 7 days post infection (dpi) from these pigs. From these data, we examined associations of gene expression with weight gain and viral load phenotypes. The single nucleotide polymorphism (SNP) marker WUR10000125 (WUR) on the porcine 60K SNP chip was shown to be associated with viral load and weight gain after PRRSv infection, and so, additionally, the effect of the WUR10000125 (WUR) genotype was examined. Limited information was obtained through linear modeling of blood gene differential expression (DE) that contrasted pigs with extreme phenotypes, for growth or viral load or between animals with different WUR genotype. However, using network-based approaches, molecular pathway differences between extreme phenotypic classes could be identified. Several gene clusters of interest were found when Weighted Gene Co-expression Network Analysis (WGCNA) was applied to 4dpi contrasted with 0dpi data. The expression pattern of one such cluster of genes correlated with weight gain and WUR genotype, contained numerous immune response genes such as cytokines, chemokines, interferon type I stimulated genes, apoptotic genes and genes regulating complement activation. In addition, Partial Correlation and Information Theory (PCIT) identified differentially hubbed (DH) genes between the phenotypically divergent groups. GO enrichment revealed that the target genes of these DH genes are enriched in adaptive immune pathways. There are molecular differences in blood RNA patterns between pigs with extreme phenotypes or with a different WUR genotype in early responses to PRRSv infection, though they can be quite subtle and more difficult to discover with conventional DE expression analyses. Co-expression analyses such as WGCNA and PCIT can be used to reveal network differences between such extreme response groups. three timepoints from 100 animals are hibridized following a blocked reference design; Blood gene expression of pigs 4 days post infection
2015-06-04 | E-GEOD-69513 | biostudies-arrayexpress
Project description:Porcine alveolar macrophages (PAMs) play impoartant role in innate immunity. Porcine circovirus type 2 (PCV2) has been identified as the causal agent of postweaning multisystemic wasting syndrome, an economically important multifactorial disease of the swine industry worldwide. We used microarrays to study the transcriptome of PAMs infection with PCV2. PAMs were collected by bronchoalveolar lavage from health piglets (free of PCV2, PRRSV, PRV, CSFV, PPV), and PAMs were cultured for 48 hours and inoculated with 5 moi of PCV2.
2011-07-26 | E-GEOD-30918 | biostudies-arrayexpress
Project description:The two-component system (TCS) is a specific regulatory system in bacteria and plays an important role in sensing and adapting to the environment. In this study, we evaluated the roles of TCSs in the major cariogenic pathogen Streptococcus mutans in resistance to several types of bacteriocin. In a comprehensive analysis using individual TCS mutants, we found that two novel TCSs were associated with resistance against distinct lantibiotics nisin A (class I type A[I]) and nukacin ISK-1(class I type A[II]). One TCS, SMU.659-660 (designated as NsrRS), was related to resistance against nisin A produced by Lactococcus lactis ATCC 11454. The other TCS, SMU.1146-1145 (designated as LcrRS), was related to resistance against nukacin ISK-1 produced by Staphylococcus warneri ISK-1. NsrRS induced the expression of SMU.658 (designated as NsrX), which constitutes an operon with nsrRS, in response to nisin A. Inactivation of nsrX increased susceptibility to nisin A. Additionally, NsrX expression in S. mutans increased the binding affinity to nisin A compared to a no-expression strain. LcrRS induced the expression of SMU.1148-50 (lctFEG), which encodes an ABC transporter and is located upstream of lcrRS, in response to nukacin ISK-1. Inactivation of lctFEG significantly increased susceptibility to nukacin ISK-1. Electrophoretic mobility shift assay analysis revealed that NsrR and LcrR bound directly to regions upstream of nsrX and lctFEG, respectively. This is the first report that two distinct TCSs, NsrRS and LcrRS, are independently involved in resistance to nisin A and nukacin ISK-1 in S. mutans. Total of 14 samples were analyzed. Total RNA from each test strain and control described below were labeled with Alexa Fluor® 555 and Alexa Fluor® 647, respectively, and were cohybridized on a single array. Labeling and hybridization were performed once or twice independently. UA159 wild type as control vs. UA159 with nisinA or nukacin ISK-1, UA159 wild type with nisinA or nukacin ISK-1 vs. nsrRS or lcrRS deletion mutant in UA159 with nisinA or nukacin ISK-1.
2013-12-31 | E-GEOD-44602 | biostudies-arrayexpress
Project description:510 F2 Duroc X Pietrain pigs together with their parents and grandparents from a resource population at Michigan State University were genotyped for 124 microsatellite markers. Transcriptional profiling was performed on a subset of 176 F2 pigs using a 70-mer long oligonucleotide microarray containing 20,400 oligos (GPL7435). Pigs were selected for transcriptional profiling using a selective phenotyping strategy which consisted in choosing the two extreme males and females for a trait of interest within each litter. Each two-color array accomodated two littermates of the same sex that were extremes (Status High or Low) for a phenotype of interest (Selection criteria)
2010-08-11 | E-GEOD-23351 | biostudies-arrayexpress
Project description:To investigate microRNAs related to mitochondria biogenesis in skeletal muscle, microRNA expressions during skeletal muscle differentiation and exercise were analyzed in vivo and in vitro. Murine skeletal muscle cell (C2C12) were assigned to undifferentiated, differentiated, and passively stretched (exercise mimicked). C57BL/6S mice were assigned to resting, acute exercise (1day), and chronic exercise (7days). Low molecular weight RNA (< 200 nucleotides) was isolated from C2C12 cell or tibialis anterior muscle of mice and hybridized to Ncode microRNA microarrays. The experiment was performed using a loop design for the data analysis.
2011-05-14 | E-GEOD-29286 | biostudies-arrayexpress
Project description:Identification of a stable gene expression signature with high classifying potential to discriminate post-radiotherapy-induced thyroid tumors (follicular adenomas and papillary carcinomas) from their sporadic counterparts.
2010-08-01 | E-MEXP-2739 | biostudies-arrayexpress
Project description:The angio-suppressive effect of 20(R)-ginsenoside Rg3 (Rg3-R) has been previously demonstrated, and microRNAs (miRNAs) are a vital group of small non-coding RNAs that function as post-transcriptional modulator of gene expression. Thus, using human umbilical vein endothelial cells (HUVEC) as model, we compared the microRNA (miRNA) expression profile of vascular endothelial growth factor (VEGF)-induced cells with the profile of the cell co-treated with VEGF and Rg3-R. Among the screened 553 human miRNAs, 6 up-regulated (miR-520h, miR-487b, miR-197, miR-524*, miR-342 and miR-219) and 3 down-regulated (miR-23a, miR-489 and miR-377) miRNAs were detected in Rg3-R treated vascular endothelial growth factor (VEGF)-induced HUVECs compared to VEGF alone. Real time RT-PCR was subsequently performed to verify the miRNA microarray result. Two condition experiment: VEGF-induced HUVEC and VEGF-induced HUVEC treated with Rg3-R. Three independent microarray experiments, with triplicate per microarray.
2011-09-09 | E-GEOD-31959 | biostudies-arrayexpress