ArticleFrontiers in genetics2012
Characterizing differential individual response to porcine reproductive and respiratory syndrome virus infection through statistical and functional analysis of gene expression.
Article in Frontiers in genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 24 citations in OpenAlex.
- Review
- Reference Transcriptomes of Porcine Peripheral Immune Cells Created Through Bulk and Single-Cell RNA Sequencing.Frontiers in genetics · 2021Article
- The effects of a globin blocker on the resolution of 3'mRNA sequencing data in porcine blood.BMC genomics · 2019Article
- Targeting of the Nasal Mucosa by Japanese Encephalitis Virus for Non-Vector-Borne Transmission.Journal of virology · 2018Article
- Transcriptome Differences in Porcine Alveolar Macrophages from Tongcheng and Large White Pigs in Response to Highly Pathogenic Porcine Reproductive and Respiratory Syndrome Virus (PRRSV) Infection.International journal of molecular sciences · 2017Article
- The relation between DNA methylation patterns and serum cytokine levels in community-dwelling adults: a preliminary study.BMC genetics · 2017Article
- Genome-wide analysis of the transcriptional response to porcine reproductive and respiratory syndrome virus infection at the maternal/fetal interface and in the fetus.BMC genomics · 2016Article
- Article
- Genetic resistance - an alternative for controlling PRRS?Porcine health management · 2016Review
- Whole blood microarray analysis of pigs showing extreme phenotypes after a porcine reproductive and respiratory syndrome virus infection.BMC genomics · 2015Article
- Current transcriptomics in pig immunity research.Mammalian genome : official journal of the International Mammalian Genome Society · 2015Review
- Gene co-expression network analysis identifies porcine genes associated with variation in Salmonella shedding.BMC genomics · 2014Article
- Genome-wide analysis of antiviral signature genes in porcine macrophages at different activation statuses.PloS one · 2014Article
- The peripheral blood transcriptome reflects variations in immunity traits in swine: towards the identification of biomarkers.BMC genomics · 2013Article
- Impact of genotype 1 and 2 of porcine reproductive and respiratory syndrome viruses on interferon-α responses by plasmacytoid dendritic cells.Veterinary research · 2013Article
- Ovine HSP90AA1 expression rate is affected by several SNPs at the promoter under both basal and heat stress conditions.PloS one · 2013Article
Corrections and comments
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Authors and funding
9 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We evaluated differences in gene expression in pigs from the Porcine Reproductive and Respiratory Syndrome (PRRS) Host Genetics Consortium initiative showing a range of responses to PRRS virus infection. Pigs were allocated into four phenotypic groups according to their serum viral level and weight gain. RNA obtained from blood at 0, 4, 7, 11, 14, 28, and 42 days post-infection (DPI) was hybridized to the 70-mer 20K Pigoligoarray. We used a blocked reference design for the microarray experiment. This allowed us to account for individual biological variation in gene expression, and to assess baseline effects before infection (0 DPI). Additionally, this design has the flexibility of incorporating future data for differential expression analysis. We focused on evaluating transcripts showing significant interaction of weight gain and serum viral level. We identified 491 significant comparisons [false discovery rate (FDR) = 10%] across all DPI and phenotypic groups. We corroborated the overall trend in direction and level of expression (measured as fold change) at 4 DPI using qPCR (r = 0.91, p ≤ 0.0007). At 4 and 7 DPI, network and functional analyses were performed to assess if immune related gene sets were enriched for genes differentially expressed (DE) across four phenotypic groups. We identified cell death function as being significantly associated (FDR ≤ 5%) with several networks enriched for DE transcripts. We found the genes interferon-alpha 1(IFNA1), major histocompatibility complex, class II, DQ alpha 1 (SLA-DQA1), and major histocompatibility complex, class II, DR alpha (SLA-DRA) to be DE (p ≤ 0.05) between phenotypic groups. Finally, we performed a power analysis to estimate sample size and sampling time-points for future experiments. We concluded the best scenario for investigation of early response to PRRSV infection consists of sampling at 0, 4, and 7 DPI using about 30 pigs per phenotypic group.
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