IgMhigh vs IgMlow B cells from bovine leukemia virus-infected cattle
Ontology highlight
ABSTRACT:
ORGANISM(S): Bos taurus
SUBMITTER: Ryoyo Ikebuchi
PROVIDER: E-GEOD-52388 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Transcriptional profiling of blood B cells from bovine leukemia virus-infected cattle comparing IgMhigh B cells with IgMlow B cells. Goal was to estimate the difference of cellular function in both subset.
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Project description:IgMhigh vs IgMlow B cells from bovine leukemia virus-infected cattle
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Project description:To provide novel insights into understanding the host-immune response during the different stages of progression of the disease, we performed gene expression profiling in Mycobacterium avium subsp. paratuberculosis infection in cattle. We analyzed the transcriptional profiles of whole-blood cells of cattle identified and grouped according to the presence of MAP-specific antibodies and the MAP shed by them. The grouping was based on the results obtained by ELISA and PCR analyses as follows: 1) Test1 group: MAP-negative results obtained by ELISA and positive results obtained by PCR; 2) Test2 group: MAP-positive results obtained by ELISA and negative results obtained by PCR; 3) Test3 group: MAP-positive results obtained by ELISA and positive results obtained by PCR; 4) uninfected control: MAP-negative results obtained both by ELISA and PCR analysis.
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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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