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Transcriptional response of bovine macrophages after infection with two Argentinean Mycobacterium bovis isolates

ABSTRACT: Infection of cattle with Mycobacterium bovis causes severe financial hardship in many countries, in addition to presenting a health risk for humans. As an intracellular pathogen, M. bovis, adapted to survive and thrive within the intramacrophage environment. However, little is known about expression patterns in the macrophage, particularly in the bovine host. In this study, DNA microarray analysis was used to detect genes expressed in Holstein bovine macrophages derived from peripheral blood mononuclear cells infected during four hours with two Argentinean strains of M. bovis, a virulent strain, 04-303 and an attenuated strain, 534. Genes encoding antrax toxin receptor, cell division and apoptosis regulator, ankyrin proteins that are found within the membrane associated cytoskeleton, protein of cell differentiation and regulators of endocytic traffic of membrane were more strongly expressed in infected macrophages.

ORGANISM(S): Bos taurus

PROVIDER: GSE39819 | GEO | 2012/11/28

SECONDARY ACCESSION(S): PRJNA171765

REPOSITORIES: GEO

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Project description:Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies have highlighted the role of functional genomics to better understand the molecular mechanisms governing the host immune response to M. bovis infection. Furthermore, these studies may enable the identification of novel transcriptional markers of BTB that can augment current diagnostic tests and surveillance programmes. In the present study, we have analysed the transcriptome of peripheral blood leukocytes (PBL) from eight M. bovis-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix® GeneChip® Bovine Genome Array with features representing more than 23,000 gene transcripts and over 19,000 gene probe sets. Results: Control and infected animals had similar mean white blood cell counts. However, the mean number of lymphocytes was significantly increased in the infected group relative to the control group (P = 0.001), while the mean number of monocytes was significantly decreased in the BTB group (P = 0.002). Hierarchical clustering analysis using gene expression data from all 5,388 detectable mRNA transcripts unambiguously partitioned the animals according to their disease status. In total, 2,960 gene transcripts were differentially expressed (DE) between the infected and control animal groups (adjusted P-value threshold ≤ 0.05); with the number of genes showing decreased relative expression (1,563) exceeding those displaying increased relative expression (1,397). Systems analysis using the Ingenuity Systems Pathway Analysis (IPA) Knowledge Base revealed an over-representation of DE genes involved in the immune response functional category. More specifically, 64.5% of genes in the affects immune response subcategory displayed decreased relative expression levels in the infected animals compared to the control group. Conclusions: This study demonstrates that genome-wide transcriptional profiling of PBL can distinguish active M. bovis-infected animals from control non-infected animals. Furthermore, the results obtained support previous investigations demonstrating that mycobacterial infection is associated with host transcriptional suppression. These data support the use of transcriptomic technologies to enable the identification of robust, reliable transcriptional markers of active M. bovis infection Affymetrix GeneChip® Bovine Genome Arrays were used to examine gene expression of peripheral blood leukocytes from cattle infected with Mycobacterium bovis

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Transcriptional response of bovine macrophages after infection with two Argentinean Mycobacterium bovis isolates

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