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dc.contributor.authorKillick, Kate E*
dc.contributor.authorBrowne, John A*
dc.contributor.authorPark, Stephen D. E.*
dc.contributor.authorMagee, David A*
dc.contributor.authorMartin, Irene*
dc.contributor.authorMeade, Kieran G*
dc.contributor.authorGordon, Stephen V*
dc.contributor.authorGormley, Eamonn*
dc.contributor.authorO'Farrelly, Cliona*
dc.contributor.authorHokamp, Karsten*
dc.contributor.authorMacHugh, David E*
dc.date.accessioned2016-11-24T17:31:40Z
dc.date.available2016-11-24T17:31:40Z
dc.date.issued2011-12-19
dc.identifier.citationKate E Killick,et al. Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes. BMC Genomics, 2011, Dec 19;12(1):611
dc.identifier.urihttp://hdl.handle.net/11019/1092
dc.description.abstractBackground 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 24,072 gene probe sets representing more than 23,000 gene transcripts. 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 gene transcripts 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.
dc.description.sponsorshipThis work was supported by Investigator Grants from Science Foundation Ireland (Nos: SFI/01/F.1/B028 and SFI/08/IN.1/B2038), a Research Stimulus Grant from the Department of Agriculture, Fisheries and Food (No: RSF 06 405) and a European Union Framework 7 Project Grant (No: KBBE-211602-MACROSYS). KEK is supported by the Irish Research Council for Science, Engineering and Technology (IRCSET) funded Bioinformatics and Systems Biology PhD Programme http://bioinfo-casl.ucd.ie/PhD.
dc.titleGenome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes
dc.typeJournal Article
dc.date.updated2016-11-22T17:09:10Z
dc.language.rfc3066en
dc.rights.holderKillick et al; licensee BioMed Central Ltd.
dc.identifier.doihttp://dx.doi.org/10.1186/1471-2164-12-611
dc.contributor.sponsorDepartment of Agriculture, Food and the Marine
dc.contributor.sponsorEuropean Union
dc.contributor.sponsorScience Foundation Ireland
dc.contributor.sponsorIrish Research Council for Science, Engineering and Technology
dc.contributor.sponsorGrantNumberRSF 06 405
dc.contributor.sponsorGrantNumberKBBE-211602-MACROSYS
dc.contributor.sponsorGrantNumberSFI/01/F.1/B028
dc.contributor.sponsorGrantNumberSFI/08/IN.1/B2038
refterms.dateFOA2018-01-12T08:36:41Z


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