Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes

<p>Abstract</p> <p>Background</p> <p><it>Mycobacterium bovis </it>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 unders...

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Main Authors: Killick Kate E, Browne John A, Park Stephen DE, Magee David A, Martin Irene, Meade Kieran G, Gordon Stephen V, Gormley Eamonn, O'Farrelly Cliona, Hokamp Karsten, MacHugh David E
Format: Article
Language:English
Published: BMC 2011-12-01
Series:BMC Genomics
Online Access:http://www.biomedcentral.com/1471-2164/12/611
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spelling doaj-bc02b43ffc4a44ce923387dd336d1b2f2020-11-25T01:27:25ZengBMCBMC Genomics1471-21642011-12-0112161110.1186/1471-2164-12-611Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genesKillick Kate EBrowne John APark Stephen DEMagee David AMartin IreneMeade Kieran GGordon Stephen VGormley EamonnO'Farrelly ClionaHokamp KarstenMacHugh David E<p>Abstract</p> <p>Background</p> <p><it>Mycobacterium bovis </it>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 <it>M. bovis </it>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 <it>M. bovis</it>-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix<sup>® </sup>GeneChip<sup>® </sup>Bovine Genome Array with 24,072 gene probe sets representing more than 23,000 gene transcripts.</p> <p>Results</p> <p>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 (<it>P </it>= 0.001), while the mean number of monocytes was significantly decreased in the BTB group (<it>P </it>= 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 <it>P</it>-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<sup>® </sup>Systems Pathway Analysis (IPA) Knowledge Base revealed an over-representation of DE genes involved in the <it>immune response </it>functional category. More specifically, 64.5% of genes in the <it>affects immune response </it>subcategory displayed decreased relative expression levels in the infected animals compared to the control group.</p> <p>Conclusions</p> <p>This study demonstrates that genome-wide transcriptional profiling of PBL can distinguish active <it>M. bovis</it>-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 <it>M. bovis </it>infection.</p> http://www.biomedcentral.com/1471-2164/12/611
collection DOAJ
language English
format Article
sources DOAJ
author Killick Kate E
Browne John A
Park Stephen DE
Magee David A
Martin Irene
Meade Kieran G
Gordon Stephen V
Gormley Eamonn
O'Farrelly Cliona
Hokamp Karsten
MacHugh David E
spellingShingle Killick Kate E
Browne John A
Park Stephen DE
Magee David A
Martin Irene
Meade Kieran G
Gordon Stephen V
Gormley Eamonn
O'Farrelly Cliona
Hokamp Karsten
MacHugh David E
Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
BMC Genomics
author_facet Killick Kate E
Browne John A
Park Stephen DE
Magee David A
Martin Irene
Meade Kieran G
Gordon Stephen V
Gormley Eamonn
O'Farrelly Cliona
Hokamp Karsten
MacHugh David E
author_sort Killick Kate E
title Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
title_short Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
title_full Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
title_fullStr Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
title_full_unstemmed Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>Mycobacterium bovis </it>reveals suppression of host immune genes
title_sort genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with <it>mycobacterium bovis </it>reveals suppression of host immune genes
publisher BMC
series BMC Genomics
issn 1471-2164
publishDate 2011-12-01
description <p>Abstract</p> <p>Background</p> <p><it>Mycobacterium bovis </it>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 <it>M. bovis </it>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 <it>M. bovis</it>-infected and eight control non-infected age-matched and sex-matched Holstein-Friesian cattle using the Affymetrix<sup>® </sup>GeneChip<sup>® </sup>Bovine Genome Array with 24,072 gene probe sets representing more than 23,000 gene transcripts.</p> <p>Results</p> <p>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 (<it>P </it>= 0.001), while the mean number of monocytes was significantly decreased in the BTB group (<it>P </it>= 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 <it>P</it>-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<sup>® </sup>Systems Pathway Analysis (IPA) Knowledge Base revealed an over-representation of DE genes involved in the <it>immune response </it>functional category. More specifically, 64.5% of genes in the <it>affects immune response </it>subcategory displayed decreased relative expression levels in the infected animals compared to the control group.</p> <p>Conclusions</p> <p>This study demonstrates that genome-wide transcriptional profiling of PBL can distinguish active <it>M. bovis</it>-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 <it>M. bovis </it>infection.</p>
url http://www.biomedcentral.com/1471-2164/12/611
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