Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes
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...
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| Published in: | BMC genomics Vol. 12; no. 1; p. 611 |
|---|---|
| Main Authors: | , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
BioMed Central
19.12.2011
BioMed Central Ltd Springer Nature B.V BMC |
| Subjects: | |
| ISSN: | 1471-2164, 1471-2164 |
| Online Access: | Get full text |
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| Abstract | 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 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. |
|---|---|
| AbstractList | Abstract 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 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. 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 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. 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.sup.[R] .sup.GeneChip.sup.[R] .sup.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 [less than or equal to] 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.[R] .sup.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. 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. 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. 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. 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.sup.[R] .sup.GeneChip.sup.[R] .sup.Bovine Genome Array with 24,072 gene probe sets representing more than 23,000 gene transcripts. 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 [less than or equal to] 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.[R] .sup.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. 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. 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.BACKGROUNDMycobacterium 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.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.RESULTSControl 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.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.CONCLUSIONSThis 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. 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 super( registered )GeneChip super( registered )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 < or = 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 super( registered )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. |
| ArticleNumber | 611 |
| Audience | Academic |
| Author | Park, Stephen DE Magee, David A Hokamp, Karsten Martin, Irene Gordon, Stephen V Browne, John A Meade, Kieran G Killick, Kate E MacHugh, David E O'Farrelly, Cliona Gormley, Eamonn |
| AuthorAffiliation | 4 Tuberculosis Diagnostics and Immunology Research Centre, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland 6 Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland 3 UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland 5 Comparative Immunology Group, School of Biochemistry and Immunology, Trinity College, Dublin 2, Ireland 2 Animal Bioscience Centre, Teagasc, Grange, Dunsany, County Meath, Ireland 1 UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland |
| AuthorAffiliation_xml | – name: 2 Animal Bioscience Centre, Teagasc, Grange, Dunsany, County Meath, Ireland – name: 6 Smurfit Institute of Genetics, Trinity College Dublin, Dublin 2, Ireland – name: 3 UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield, Dublin 4, Ireland – name: 1 UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland – name: 5 Comparative Immunology Group, School of Biochemistry and Immunology, Trinity College, Dublin 2, Ireland – name: 4 Tuberculosis Diagnostics and Immunology Research Centre, UCD School of Veterinary Medicine, University College Dublin, Belfield, Dublin 4, Ireland |
| Author_xml | – sequence: 1 givenname: Kate E surname: Killick fullname: Killick, Kate E organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield – sequence: 2 givenname: John A surname: Browne fullname: Browne, John A organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield – sequence: 3 givenname: Stephen DE surname: Park fullname: Park, Stephen DE organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield – sequence: 4 givenname: David A surname: Magee fullname: Magee, David A organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield – sequence: 5 givenname: Irene surname: Martin fullname: Martin, Irene organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield – sequence: 6 givenname: Kieran G surname: Meade fullname: Meade, Kieran G organization: Animal Bioscience Centre, Teagasc, Grange, Dunsany – sequence: 7 givenname: Stephen V surname: Gordon fullname: Gordon, Stephen V organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield – sequence: 8 givenname: Eamonn surname: Gormley fullname: Gormley, Eamonn organization: Tuberculosis Diagnostics and Immunology Research Centre, UCD School of Veterinary Medicine, University College Dublin, Belfield – sequence: 9 givenname: Cliona surname: O'Farrelly fullname: O'Farrelly, Cliona organization: Comparative Immunology Group, School of Biochemistry and Immunology, Trinity College – sequence: 10 givenname: Karsten surname: Hokamp fullname: Hokamp, Karsten organization: Smurfit Institute of Genetics, Trinity College Dublin – sequence: 11 givenname: David E surname: MacHugh fullname: MacHugh, David E email: david.machugh@ucd.ie organization: UCD College of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Belfield, UCD Conway Institute of Biomolecular and Biomedical Research, University College Dublin, Belfield |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/22182502$$D View this record in MEDLINE/PubMed |
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| Cites_doi | 10.1016/j.tube.2003.08.010 10.1016/j.vetimm.2010.02.007 10.1111/j.0105-2896.2005.00249.x 10.1016/j.molimm.2004.04.006 10.1016/S0198-8859(99)00025-7 10.1016/j.rvsc.2005.11.005 10.1046/j.1365-2567.2003.01731.x 10.1073/pnas.96.25.14459 10.4049/jimmunol.172.10.6272 10.1016/j.cyto.2008.07.010 10.1084/jem.178.6.2243 10.1371/journal.pone.0019105 10.1155/2011/405310 10.1093/nar/gkq1235 10.1016/j.coi.2003.11.011 10.1046/j.1365-2567.2000.00930.x 10.1371/journal.ppat.0010034 10.1016/S0966-842X(98)01216-5 10.1111/j.2517-6161.1995.tb02031.x 10.1093/nar/gkm306 10.1016/j.micinf.2008.07.039 10.1186/gb-2004-5-10-r80 10.1016/S0378-3758(02)00388-9 10.1016/j.tig.2005.12.005 10.1186/gb-2007-8-2-r19 10.1186/1471-2164-8-400 10.1038/sj.icb.7100027 10.1038/nrmicro840 10.1016/S1359-6101(03)00054-6 10.1111/j.1865-1682.2009.01082.x 10.1146/annurev.immunol.021908.132703 10.1016/j.vetimm.2005.08.012 10.1016/j.tube.2011.07.002 10.4049/jimmunol.166.6.4074 10.1093/bioinformatics/btl033 10.4049/jimmunol.174.10.6518 10.4049/jimmunol.163.7.3898 10.1146/annurev-immunol-030409-101335 10.1093/database/baq020 10.1016/j.vetimm.2008.12.012 10.1038/ni1468 10.1016/j.vetimm.2010.12.002 10.1126/science.1131078 10.1086/510397 10.1186/gb-2010-11-8-r88 10.1016/j.femsre.2005.04.013 10.1189/jlb.1205702 10.1016/j.vetimm.2004.08.002 10.1155/2011/192630 10.1126/science.1088063 10.1038/nrmicro2321 10.4049/jimmunol.169.7.3480 10.1093/bioinformatics/btm478 10.1016/j.micinf.2004.04.016 10.1136/vr.135.6.134 10.1051/vetres/2009005 10.4049/jimmunol.0903856 10.1155/2011/768542 10.1038/nri2960 10.1038/mi.2011.14 10.1053/tvjl.2001.0655 10.1038/ng1201-365 10.4049/jimmunol.163.7.3920 10.1038/nature09247 10.1126/science.285.5428.732 10.1016/j.dci.2011.01.001 10.1086/429994 10.1093/nar/gkq1237 10.1084/jem.178.6.2249 10.1172/JCI23867 10.1007/s12026-011-8229-7 10.1155/2011/347594 10.1093/nar/gkq1184 10.1111/j.1751-0813.1992.tb09848.x 10.1165/rcmb.2008-0219OC 10.1189/jlb.0103026 10.1016/0378-1135(94)90045-0 |
| ContentType | Journal Article |
| Copyright | Killick et al; licensee BioMed Central Ltd. 2011 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. COPYRIGHT 2011 BioMed Central Ltd. 2011 Killick et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Copyright ©2011 Killick et al; licensee BioMed Central Ltd. 2011 Killick et al; licensee BioMed Central Ltd. |
| Copyright_xml | – notice: Killick et al; licensee BioMed Central Ltd. 2011 This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: COPYRIGHT 2011 BioMed Central Ltd. – notice: 2011 Killick et al; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. – notice: Copyright ©2011 Killick et al; licensee BioMed Central Ltd. 2011 Killick et al; licensee BioMed Central Ltd. |
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| DOI | 10.1186/1471-2164-12-611 |
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| References | TK Means (3875_CR11) 2001; 166 G Ferwerda (3875_CR10) 2005; 1 AM Cooper (3875_CR74) 2009; 27 R Mistry (3875_CR24) 2007; 195 SD Neill (3875_CR20) 1994; 40 E Costello (3875_CR26) 1998; 51 R de la Rua-Domenech (3875_CR44) 2006; 81 LM Ting (3875_CR70) 1999; 163 MP Berry (3875_CR37) 2010; 466 DS Korbel (3875_CR60) 2008; 10 JS Rothel (3875_CR6) 1992; 69 Y Benjamini (3875_CR31) 1995; 57 JL Flynn (3875_CR61) 2011; 4 JL Flynn (3875_CR73) 1993; 178 AL Hestvik (3875_CR80) 2005; 29 S Herbst (3875_CR68) 2011; 6 G Walzl (3875_CR22) 2011; 11 KG Meade (3875_CR25) 2007; 8 WR Waters (3875_CR1) 2011; 2011 B Laupeze (3875_CR76) 1999; 60 A Koul (3875_CR81) 2004; 2 JD MacMicking (3875_CR72) 2003; 302 EF Kenny (3875_CR58) 2008; 43 S Hochreiter (3875_CR28) 2006; 22 S Widdison (3875_CR45) 2011; 35 AF McGettrick (3875_CR59) 2004; 41 HP Gideon (3875_CR18) 2011; 50 NM Parrish (3875_CR17) 1998; 6 TK Means (3875_CR42) 1999; 163 V Quesniaux (3875_CR39) 2004; 6 JM Pollock (3875_CR19) 2005; 108 MG Netea (3875_CR9) 2005; 174 BM Buddle (3875_CR8) 2011 I Schiller (3875_CR43) 2010; 136 M Safran (3875_CR82) 2010; 2010 CR Zarate-Blades (3875_CR21) 2011; 2011 H Schneider (3875_CR78) 2006; 313 JM Pollock (3875_CR3) 2002; 163 Y Woo (3875_CR54) 2004; 15 S Rozen (3875_CR33) 2000; 132 KA Heldwein (3875_CR56) 2003; 74 MG Reese (3875_CR46) 2010; 11 3875_CR83 L Sweet (3875_CR55) 2006; 80 E Liebana (3875_CR65) 2000; 99 SC Gough (3875_CR79) 2005; 204 S Draghici (3875_CR53) 2006; 22 SM Fortune (3875_CR69) 2004; 172 SD Neill (3875_CR5) 1994; 135 3875_CR47 HM Algood (3875_CR64) 2003; 14 TK Means (3875_CR57) 2000 A Brazma (3875_CR35) 2001; 29 RC Galindo (3875_CR49) 2009; 129 PL Lin (3875_CR16) 2010; 185 SK Pathak (3875_CR66) 2007; 8 E Lesho (3875_CR48) 2011; 91 M Taraktsoglou (3875_CR51) 2011; 140 MA Skinner (3875_CR2) 2003; 110 RC Gentleman (3875_CR27) 2004; 5 AM Cooper (3875_CR71) 1993; 178 J Kleinnijenhuis (3875_CR14) 2011; 2011 DE MacHugh (3875_CR23) 2009; 56 MJ van der Laan (3875_CR29) 2003; 117 CV Harding (3875_CR38) 2010; 8 HM Algood (3875_CR62) 2005; 41 BM Saunders (3875_CR15) 2007; 85 H Saiga (3875_CR52) 2011; 2011 E Gormley (3875_CR4) 2004; 102 JL Casanova (3875_CR77) 2011; 29 AH Alvarez (3875_CR7) 2009; 40 W Talloen (3875_CR30) 2007; 23 N Reiling (3875_CR41) 2002; 169 HD Brightbill (3875_CR13) 1999; 285 3875_CR36 3875_CR32 P Bryant (3875_CR75) 2004; 16 RF Silver (3875_CR50) 2009; 40 J Hellemans (3875_CR34) 2007; 8 JL Flynn (3875_CR63) 2004; 84 DM Underhill (3875_CR12) 1999; 96 TM Doherty (3875_CR40) 2004; 114 P Kumar (3875_CR67) 2011 21420804 - Vet Microbiol. 2011 Jul 5;151(1-2):14-22 15128816 - J Immunol. 2004 May 15;172(10):6272-80 10490990 - J Immunol. 1999 Oct 1;163(7):3898-906 21219179 - Annu Rev Immunol. 2011;29:447-91 21430653 - Mucosal Immunol. 2011 May;4(3):271-8 9582936 - Trends Microbiol. 1998 Mar;6(3):107-12 15083155 - Nat Rev Microbiol. 2004 Mar;2(3):189-202 18787177 - Am J Respir Cell Mol Biol. 2009 Apr;40(4):491-504 17205474 - J Infect Dis. 2007 Feb 1;195(3):357-65 16760377 - J Leukoc Biol. 2006 Aug;80(2):415-23 16380191 - Trends Genet. 2006 Feb;22(2):101-9 21115458 - Nucleic Acids Res. 2011 Jan;39(Database issue):D52-7 20219253 - Vet Immunol Immunopathol. 2010 Jul;136(1-2):1-11 18706831 - Cytokine. 2008 Sep;43(3):342-9 15585824 - J Biomol Tech. 2004 Dec;15(4):276-84 14670350 - Tuberculosis (Edinb). 2004;84(1-2):93-101 18762264 - Microbes Infect. 2008 Jul;10(9):995-1004 15219996 - Mol Immunol. 2004 Jul;41(6-7):577-82 16150494 - Vet Immunol Immunopathol. 2005 Oct 18;108(1-2):37-43 7975105 - Vet Rec. 1994 Aug 6;135(6):134-5 8073627 - Vet Microbiol. 1994 May;40(1-2):41-52 15879155 - J Immunol. 2005 May 15;174(10):6518-23 15790353 - Immunol Rev. 2005 Apr;204:102-15 16513150 - Res Vet Sci. 2006 Oct;81(2):190-210 21197095 - Clin Dev Immunol. 2011;2011:768542 20689021 - Database (Oxford). 2010;2010:baq020 19486308 - Transbound Emerg Dis. 2009 Aug;56(6-7):204-14 1554334 - Aust Vet J. 1992 Jan;69(1):1-4 17921172 - Bioinformatics. 2007 Nov 1;23(21):2897-902 21717066 - Immunol Res. 2011 Aug;50(2-3):202-12 15983898 - Clin Infect Dis. 2005 Aug 1;41 Suppl 3:S189-93 20234378 - Nat Rev Microbiol. 2010 Apr;8(4):296-307 21123190 - Nucleic Acids Res. 2011 Jan;39(Database issue):D830-4 17485472 - Nucleic Acids Res. 2007 Jul;35(Web Server issue):W71-4 16931720 - Science. 2006 Sep 29;313(5795):1972-5 19131115 - Vet Immunol Immunopathol. 2009 May 15;129(1-2):119-25 19220975 - Vet Res. 2009 May-Jun;40(3):22 16473874 - Bioinformatics. 2006 Apr 15;22(8):943-9 21603213 - Clin Dev Immunol. 2011;2011:405310 14511237 - Immunology. 2003 Oct;110(2):234-41 15310472 - Microbes Infect. 2004 Aug;6(10):946-59 17974019 - BMC Genomics. 2007;8:400 21559306 - PLoS One. 2011;6(5):e19105 10490993 - J Immunol. 1999 Oct 1;163(7):3920-7 15541794 - Vet Immunol Immunopathol. 2004 Dec 28;102(4):413-20 14576437 - Science. 2003 Oct 24;302(5645):654-9 7504064 - J Exp Med. 1993 Dec 1;178(6):2249-54 10426276 - Hum Immunol. 1999 Jul;60(7):591-7 10651937 - Immunology. 2000 Jan;99(1):23-9 10426995 - Science. 1999 Jul 30;285(5428):732-6 8245795 - J Exp Med. 1993 Dec 1;178(6):2243-7 21670739 - Immunol Cell Biol. 2012 Apr;90(4):411-20 10547847 - Methods Mol Biol. 2000;132:365-86 17291332 - Genome Biol. 2007;8(2):R19 19302046 - Annu Rev Immunol. 2009;27:393-422 20725040 - Nature. 2010 Aug 19;466(7309):973-7 17486091 - Nat Immunol. 2007 Jun;8(6):610-8 15599394 - J Clin Invest. 2004 Dec;114(12):1699-703 12885945 - J Leukoc Biol. 2003 Aug;74(2):277-86 14734116 - Curr Opin Immunol. 2004 Feb;16(1):96-102 15461798 - Genome Biol. 2004;5(10):R80 20562268 - J Immunol. 2010 Jul 1;185(1):15-22 21242003 - Vet Immunol Immunopathol. 2011 Mar 15;140(1-2):130-9 21232552 - Dev Comp Immunol. 2011 May;35(5):580-91 21835698 - Tuberculosis (Edinb). 2011 Sep;91(5):390-9 16040149 - FEMS Microbiol Rev. 2005 Nov;29(5):1041-50 14563349 - Cytokine Growth Factor Rev. 2003 Dec;14(6):467-77 21197423 - Clin Dev Immunol. 2011;2011:192630 21475309 - Nat Rev Immunol. 2011 May;11(5):343-54 11726920 - Nat Genet. 2001 Dec;29(4):365-71 21097893 - Nucleic Acids Res. 2011 Jan;39(Database issue):D1005-10 20796305 - Genome Biol. 2010;11(8):R88 16322770 - PLoS Pathog. 2005 Nov;1(3):279-85 11238656 - J Immunol. 2001 Mar 15;166(6):4074-82 12093187 - Vet J. 2002 Mar;163(2):115-27 21274449 - Clin Dev Immunol. 2011;2011:347594 12244136 - J Immunol. 2002 Oct 1;169(7):3480-4 17213830 - Immunol Cell Biol. 2007 Feb-Mar;85(2):103-11 10588727 - Proc Natl Acad Sci U S A. 1999 Dec 7;96(25):14459-63 |
| References_xml | – volume: 84 start-page: 93 issue: 1-2 year: 2004 ident: 3875_CR63 publication-title: Tuberculosis doi: 10.1016/j.tube.2003.08.010 – volume: 136 start-page: 1 issue: 1-2 year: 2010 ident: 3875_CR43 publication-title: Vet Immunol Immunopathol doi: 10.1016/j.vetimm.2010.02.007 – volume: 204 start-page: 102 year: 2005 ident: 3875_CR79 publication-title: Immunol Rev doi: 10.1111/j.0105-2896.2005.00249.x – volume: 41 start-page: 577 issue: 6-7 year: 2004 ident: 3875_CR59 publication-title: Mol Immunol doi: 10.1016/j.molimm.2004.04.006 – volume: 60 start-page: 591 issue: 7 year: 1999 ident: 3875_CR76 publication-title: Hum Immunol doi: 10.1016/S0198-8859(99)00025-7 – volume: 81 start-page: 190 issue: 2 year: 2006 ident: 3875_CR44 publication-title: Res Vet Sci doi: 10.1016/j.rvsc.2005.11.005 – volume: 110 start-page: 234 issue: 2 year: 2003 ident: 3875_CR2 publication-title: Immunology doi: 10.1046/j.1365-2567.2003.01731.x – volume: 96 start-page: 14459 issue: 25 year: 1999 ident: 3875_CR12 publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.96.25.14459 – volume: 172 start-page: 6272 issue: 10 year: 2004 ident: 3875_CR69 publication-title: J Immunol doi: 10.4049/jimmunol.172.10.6272 – volume-title: Vet Microbiol year: 2011 ident: 3875_CR8 – volume: 43 start-page: 342 issue: 3 year: 2008 ident: 3875_CR58 publication-title: Cytokine doi: 10.1016/j.cyto.2008.07.010 – volume: 178 start-page: 2243 issue: 6 year: 1993 ident: 3875_CR71 publication-title: The Journal of experimental medicine doi: 10.1084/jem.178.6.2243 – volume: 6 start-page: e19105 issue: 5 year: 2011 ident: 3875_CR68 publication-title: PLoS ONE doi: 10.1371/journal.pone.0019105 – volume: 2011 start-page: 405310 year: 2011 ident: 3875_CR14 publication-title: Clin Dev Immunol doi: 10.1155/2011/405310 – ident: 3875_CR47 doi: 10.1093/nar/gkq1235 – volume-title: J Leukoc Biol year: 2000 ident: 3875_CR57 – volume: 16 start-page: 96 issue: 1 year: 2004 ident: 3875_CR75 publication-title: Curr Opin Immunol doi: 10.1016/j.coi.2003.11.011 – volume: 99 start-page: 23 issue: 1 year: 2000 ident: 3875_CR65 publication-title: Immunology doi: 10.1046/j.1365-2567.2000.00930.x – volume: 1 start-page: 279 issue: 3 year: 2005 ident: 3875_CR10 publication-title: PLoS Pathog doi: 10.1371/journal.ppat.0010034 – volume: 6 start-page: 107 issue: 3 year: 1998 ident: 3875_CR17 publication-title: Trends Microbiol doi: 10.1016/S0966-842X(98)01216-5 – volume: 57 start-page: 289 issue: 1 year: 1995 ident: 3875_CR31 publication-title: J R Stat Soc Series B Stat Methodol doi: 10.1111/j.2517-6161.1995.tb02031.x – ident: 3875_CR32 doi: 10.1093/nar/gkm306 – volume: 10 start-page: 995 issue: 9 year: 2008 ident: 3875_CR60 publication-title: Microbes and Infection doi: 10.1016/j.micinf.2008.07.039 – volume: 5 start-page: R80 issue: 10 year: 2004 ident: 3875_CR27 publication-title: Genome Biol doi: 10.1186/gb-2004-5-10-r80 – volume: 117 start-page: 275 issue: 2 year: 2003 ident: 3875_CR29 publication-title: J Stat Plan Inference doi: 10.1016/S0378-3758(02)00388-9 – volume: 22 start-page: 101 issue: 2 year: 2006 ident: 3875_CR53 publication-title: Trends Genet doi: 10.1016/j.tig.2005.12.005 – volume: 8 start-page: R19 issue: 2 year: 2007 ident: 3875_CR34 publication-title: Genome Biol doi: 10.1186/gb-2007-8-2-r19 – volume: 8 start-page: 400 year: 2007 ident: 3875_CR25 publication-title: BMC Genomics doi: 10.1186/1471-2164-8-400 – volume: 85 start-page: 103 issue: 2 year: 2007 ident: 3875_CR15 publication-title: Immunol Cell Biol doi: 10.1038/sj.icb.7100027 – volume: 2 start-page: 189 issue: 3 year: 2004 ident: 3875_CR81 publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro840 – volume: 14 start-page: 467 issue: 6 year: 2003 ident: 3875_CR64 publication-title: Cytokine Growth Factor Rev doi: 10.1016/S1359-6101(03)00054-6 – volume: 56 start-page: 204 issue: 6-7 year: 2009 ident: 3875_CR23 publication-title: Transbound Emerg Dis doi: 10.1111/j.1865-1682.2009.01082.x – volume: 27 start-page: 393 year: 2009 ident: 3875_CR74 publication-title: Annu Rev Immunol doi: 10.1146/annurev.immunol.021908.132703 – volume: 108 start-page: 37 issue: 1-2 year: 2005 ident: 3875_CR19 publication-title: Vet Immunol Immunopathol doi: 10.1016/j.vetimm.2005.08.012 – volume: 91 start-page: 390 issue: 5 year: 2011 ident: 3875_CR48 publication-title: Tuberculosis doi: 10.1016/j.tube.2011.07.002 – volume: 166 start-page: 4074 issue: 6 year: 2001 ident: 3875_CR11 publication-title: J Immunol doi: 10.4049/jimmunol.166.6.4074 – volume: 22 start-page: 943 issue: 8 year: 2006 ident: 3875_CR28 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btl033 – volume: 174 start-page: 6518 issue: 10 year: 2005 ident: 3875_CR9 publication-title: J Immunol doi: 10.4049/jimmunol.174.10.6518 – volume-title: Immunol Cell Biol year: 2011 ident: 3875_CR67 – volume: 163 start-page: 3898 issue: 7 year: 1999 ident: 3875_CR70 publication-title: J Immunol doi: 10.4049/jimmunol.163.7.3898 – volume: 29 start-page: 447 year: 2011 ident: 3875_CR77 publication-title: Annu Rev Immunol doi: 10.1146/annurev-immunol-030409-101335 – volume: 2010 start-page: baq020 year: 2010 ident: 3875_CR82 publication-title: Database (Oxford) doi: 10.1093/database/baq020 – volume: 132 start-page: 365 year: 2000 ident: 3875_CR33 publication-title: Methods Mol Biol – volume: 129 start-page: 119 issue: 1-2 year: 2009 ident: 3875_CR49 publication-title: Vet Immunol Immunopathol doi: 10.1016/j.vetimm.2008.12.012 – volume: 8 start-page: 610 issue: 6 year: 2007 ident: 3875_CR66 publication-title: Nat Immunol doi: 10.1038/ni1468 – volume: 140 start-page: 130 issue: 1-2 year: 2011 ident: 3875_CR51 publication-title: Vet Immunol Immunopathol doi: 10.1016/j.vetimm.2010.12.002 – volume: 313 start-page: 1972 issue: 5795 year: 2006 ident: 3875_CR78 publication-title: Science doi: 10.1126/science.1131078 – volume: 195 start-page: 357 issue: 3 year: 2007 ident: 3875_CR24 publication-title: J Infect Dis doi: 10.1086/510397 – volume: 11 start-page: R88 issue: 8 year: 2010 ident: 3875_CR46 publication-title: Genome Biol doi: 10.1186/gb-2010-11-8-r88 – volume: 29 start-page: 1041 issue: 5 year: 2005 ident: 3875_CR80 publication-title: FEMS Microbiol Rev doi: 10.1016/j.femsre.2005.04.013 – volume: 80 start-page: 415 issue: 2 year: 2006 ident: 3875_CR55 publication-title: J Leukoc Biol doi: 10.1189/jlb.1205702 – volume: 102 start-page: 413 issue: 4 year: 2004 ident: 3875_CR4 publication-title: Vet Immunol Immunopathol doi: 10.1016/j.vetimm.2004.08.002 – volume: 2011 start-page: 192630 year: 2011 ident: 3875_CR21 publication-title: Clin Dev Immunol doi: 10.1155/2011/192630 – volume: 51 start-page: 248 issue: 5 year: 1998 ident: 3875_CR26 publication-title: Irish Vet J – volume: 302 start-page: 654 issue: 5645 year: 2003 ident: 3875_CR72 publication-title: Science doi: 10.1126/science.1088063 – volume: 8 start-page: 296 issue: 4 year: 2010 ident: 3875_CR38 publication-title: Nat Rev Microbiol doi: 10.1038/nrmicro2321 – volume: 169 start-page: 3480 issue: 7 year: 2002 ident: 3875_CR41 publication-title: J Immunol doi: 10.4049/jimmunol.169.7.3480 – volume: 23 start-page: 2897 issue: 21 year: 2007 ident: 3875_CR30 publication-title: Bioinformatics doi: 10.1093/bioinformatics/btm478 – volume: 6 start-page: 946 issue: 10 year: 2004 ident: 3875_CR39 publication-title: Microbes Infect doi: 10.1016/j.micinf.2004.04.016 – volume: 135 start-page: 134 issue: 6 year: 1994 ident: 3875_CR5 publication-title: Vet Rec doi: 10.1136/vr.135.6.134 – volume: 40 start-page: 22 issue: 3 year: 2009 ident: 3875_CR7 publication-title: Vet Res doi: 10.1051/vetres/2009005 – volume: 185 start-page: 15 issue: 1 year: 2010 ident: 3875_CR16 publication-title: J Immunol doi: 10.4049/jimmunol.0903856 – volume: 2011 start-page: 768542 year: 2011 ident: 3875_CR1 publication-title: Clin Dev Immunol doi: 10.1155/2011/768542 – volume: 11 start-page: 343 issue: 5 year: 2011 ident: 3875_CR22 publication-title: Nat Rev Immunol doi: 10.1038/nri2960 – volume: 4 start-page: 271 issue: 3 year: 2011 ident: 3875_CR61 publication-title: Mucosal Immunol doi: 10.1038/mi.2011.14 – volume: 163 start-page: 115 issue: 2 year: 2002 ident: 3875_CR3 publication-title: Vet J doi: 10.1053/tvjl.2001.0655 – volume: 29 start-page: 365 issue: 4 year: 2001 ident: 3875_CR35 publication-title: Nat Genet doi: 10.1038/ng1201-365 – volume: 163 start-page: 3920 issue: 7 year: 1999 ident: 3875_CR42 publication-title: J Immunol doi: 10.4049/jimmunol.163.7.3920 – volume: 466 start-page: 973 issue: 7309 year: 2010 ident: 3875_CR37 publication-title: Nature doi: 10.1038/nature09247 – volume: 285 start-page: 732 issue: 5428 year: 1999 ident: 3875_CR13 publication-title: Science doi: 10.1126/science.285.5428.732 – volume: 35 start-page: 580 issue: 5 year: 2011 ident: 3875_CR45 publication-title: Dev Comp Immunol doi: 10.1016/j.dci.2011.01.001 – volume: 41 start-page: S189 issue: Suppl 3 year: 2005 ident: 3875_CR62 publication-title: Clin Infect Dis doi: 10.1086/429994 – ident: 3875_CR83 doi: 10.1093/nar/gkq1237 – volume: 178 start-page: 2249 issue: 6 year: 1993 ident: 3875_CR73 publication-title: J Exp Med doi: 10.1084/jem.178.6.2249 – volume: 114 start-page: 1699 issue: 12 year: 2004 ident: 3875_CR40 publication-title: J Clin Invest doi: 10.1172/JCI23867 – volume: 50 start-page: 202 issue: 2-3 year: 2011 ident: 3875_CR18 publication-title: Immunol Res doi: 10.1007/s12026-011-8229-7 – volume: 2011 start-page: 347594 year: 2011 ident: 3875_CR52 publication-title: Clin Dev Immunol doi: 10.1155/2011/347594 – volume: 15 start-page: 276 issue: 4 year: 2004 ident: 3875_CR54 publication-title: J Biomol Tech – ident: 3875_CR36 doi: 10.1093/nar/gkq1184 – volume: 69 start-page: 1 issue: 1 year: 1992 ident: 3875_CR6 publication-title: Aust Vet J doi: 10.1111/j.1751-0813.1992.tb09848.x – volume: 40 start-page: 491 issue: 4 year: 2009 ident: 3875_CR50 publication-title: Am J Respir Cell Mol Biol doi: 10.1165/rcmb.2008-0219OC – volume: 74 start-page: 277 issue: 2 year: 2003 ident: 3875_CR56 publication-title: J Leukoc Biol doi: 10.1189/jlb.0103026 – volume: 40 start-page: 41 issue: 1-2 year: 1994 ident: 3875_CR20 publication-title: Vet Microbiol doi: 10.1016/0378-1135(94)90045-0 – reference: 21115458 - Nucleic Acids Res. 2011 Jan;39(Database issue):D52-7 – reference: 21274449 - Clin Dev Immunol. 2011;2011:347594 – reference: 15461798 - Genome Biol. 2004;5(10):R80 – reference: 15541794 - Vet Immunol Immunopathol. 2004 Dec 28;102(4):413-20 – reference: 20234378 - Nat Rev Microbiol. 2010 Apr;8(4):296-307 – reference: 21197095 - Clin Dev Immunol. 2011;2011:768542 – reference: 17921172 - Bioinformatics. 2007 Nov 1;23(21):2897-902 – reference: 10426276 - Hum Immunol. 1999 Jul;60(7):591-7 – reference: 15585824 - J Biomol Tech. 2004 Dec;15(4):276-84 – reference: 18762264 - Microbes Infect. 2008 Jul;10(9):995-1004 – reference: 21097893 - Nucleic Acids Res. 2011 Jan;39(Database issue):D1005-10 – reference: 1554334 - Aust Vet J. 1992 Jan;69(1):1-4 – reference: 7504064 - J Exp Med. 1993 Dec 1;178(6):2249-54 – reference: 21219179 - Annu Rev Immunol. 2011;29:447-91 – reference: 10547847 - Methods Mol Biol. 2000;132:365-86 – reference: 19302046 - Annu Rev Immunol. 2009;27:393-422 – reference: 21559306 - PLoS One. 2011;6(5):e19105 – reference: 16473874 - Bioinformatics. 2006 Apr 15;22(8):943-9 – reference: 21603213 - Clin Dev Immunol. 2011;2011:405310 – reference: 9582936 - Trends Microbiol. 1998 Mar;6(3):107-12 – reference: 16931720 - Science. 2006 Sep 29;313(5795):1972-5 – reference: 20689021 - Database (Oxford). 2010;2010:baq020 – reference: 20562268 - J Immunol. 2010 Jul 1;185(1):15-22 – reference: 18706831 - Cytokine. 2008 Sep;43(3):342-9 – reference: 14511237 - Immunology. 2003 Oct;110(2):234-41 – reference: 15879155 - J Immunol. 2005 May 15;174(10):6518-23 – reference: 7975105 - Vet Rec. 1994 Aug 6;135(6):134-5 – reference: 21123190 - Nucleic Acids Res. 2011 Jan;39(Database issue):D830-4 – reference: 20796305 - Genome Biol. 2010;11(8):R88 – reference: 21475309 - Nat Rev Immunol. 2011 May;11(5):343-54 – reference: 16322770 - PLoS Pathog. 2005 Nov;1(3):279-85 – reference: 14670350 - Tuberculosis (Edinb). 2004;84(1-2):93-101 – reference: 14734116 - Curr Opin Immunol. 2004 Feb;16(1):96-102 – reference: 21835698 - Tuberculosis (Edinb). 2011 Sep;91(5):390-9 – reference: 10490993 - J Immunol. 1999 Oct 1;163(7):3920-7 – reference: 17291332 - Genome Biol. 2007;8(2):R19 – reference: 15599394 - J Clin Invest. 2004 Dec;114(12):1699-703 – reference: 15983898 - Clin Infect Dis. 2005 Aug 1;41 Suppl 3:S189-93 – reference: 15219996 - Mol Immunol. 2004 Jul;41(6-7):577-82 – reference: 20725040 - Nature. 2010 Aug 19;466(7309):973-7 – reference: 8245795 - J Exp Med. 1993 Dec 1;178(6):2243-7 – reference: 14576437 - Science. 2003 Oct 24;302(5645):654-9 – reference: 12244136 - J Immunol. 2002 Oct 1;169(7):3480-4 – reference: 15310472 - Microbes Infect. 2004 Aug;6(10):946-59 – reference: 19220975 - Vet Res. 2009 May-Jun;40(3):22 – reference: 16760377 - J Leukoc Biol. 2006 Aug;80(2):415-23 – reference: 11238656 - J Immunol. 2001 Mar 15;166(6):4074-82 – reference: 17974019 - BMC Genomics. 2007;8:400 – reference: 17485472 - Nucleic Acids Res. 2007 Jul;35(Web Server issue):W71-4 – reference: 11726920 - Nat Genet. 2001 Dec;29(4):365-71 – reference: 19131115 - Vet Immunol Immunopathol. 2009 May 15;129(1-2):119-25 – reference: 17205474 - J Infect Dis. 2007 Feb 1;195(3):357-65 – reference: 21420804 - Vet Microbiol. 2011 Jul 5;151(1-2):14-22 – reference: 12093187 - Vet J. 2002 Mar;163(2):115-27 – reference: 10426995 - Science. 1999 Jul 30;285(5428):732-6 – reference: 17486091 - Nat Immunol. 2007 Jun;8(6):610-8 – reference: 18787177 - Am J Respir Cell Mol Biol. 2009 Apr;40(4):491-504 – reference: 16380191 - Trends Genet. 2006 Feb;22(2):101-9 – reference: 15128816 - J Immunol. 2004 May 15;172(10):6272-80 – reference: 21670739 - Immunol Cell Biol. 2012 Apr;90(4):411-20 – reference: 16150494 - Vet Immunol Immunopathol. 2005 Oct 18;108(1-2):37-43 – reference: 21232552 - Dev Comp Immunol. 2011 May;35(5):580-91 – reference: 16040149 - FEMS Microbiol Rev. 2005 Nov;29(5):1041-50 – reference: 8073627 - Vet Microbiol. 1994 May;40(1-2):41-52 – reference: 21430653 - Mucosal Immunol. 2011 May;4(3):271-8 – reference: 21197423 - Clin Dev Immunol. 2011;2011:192630 – reference: 14563349 - Cytokine Growth Factor Rev. 2003 Dec;14(6):467-77 – reference: 15790353 - Immunol Rev. 2005 Apr;204:102-15 – reference: 12885945 - J Leukoc Biol. 2003 Aug;74(2):277-86 – reference: 20219253 - Vet Immunol Immunopathol. 2010 Jul;136(1-2):1-11 – reference: 10651937 - Immunology. 2000 Jan;99(1):23-9 – reference: 16513150 - Res Vet Sci. 2006 Oct;81(2):190-210 – reference: 21717066 - Immunol Res. 2011 Aug;50(2-3):202-12 – reference: 10588727 - Proc Natl Acad Sci U S A. 1999 Dec 7;96(25):14459-63 – reference: 19486308 - Transbound Emerg Dis. 2009 Aug;56(6-7):204-14 – reference: 15083155 - Nat Rev Microbiol. 2004 Mar;2(3):189-202 – reference: 21242003 - Vet Immunol Immunopathol. 2011 Mar 15;140(1-2):130-9 – reference: 10490990 - J Immunol. 1999 Oct 1;163(7):3898-906 – reference: 17213830 - Immunol Cell Biol. 2007 Feb-Mar;85(2):103-11 |
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| Snippet | Background
Mycobacterium bovis
is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies... Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies have... Background Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies... Abstract Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent... Background: Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent studies... Abstract Background Mycobacterium bovis is the causative agent of bovine tuberculosis (BTB), a pathological infection with significant economic impact. Recent... |
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| SubjectTerms | Agriculture Animal Genetics and Genomics Animals Biomedical and Life Sciences Biomedical research Care and treatment Cattle Cluster analysis College campuses Data processing Diagnosis DNA probes Economic impact Economics Editing Female Food Gene expression Gene Expression Profiling Genetic aspects Genetic transcription Genome Genomes Genomics Immune response Immune system Immunity, Innate - genetics Infection Leukocytes Leukocytes - microbiology Life Sciences Lymphocytes Microarrays Microbial Genetics and Genomics Molecular modelling Monocytes Mycobacterium Mycobacterium bovis Mycobacterium bovis - immunology Non-human and non-rodent vertebrate genomics Peripheral blood Plant Genetics and Genomics Proteomics Research Article Reverse Transcriptase Polymerase Chain Reaction Risk factors Studies Systems analysis Technological change Transcription Transcription, Genetic Tuberculosis Tuberculosis in cattle University colleges Veterinary medicine |
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| Title | Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes |
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