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...
Uloženo v:
| Vydáno v: | BMC genomics Ročník 12; číslo 1; s. 611 |
|---|---|
| Hlavní autoři: | , , , , , , , , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
| Vydáno: |
London
BioMed Central
19.12.2011
BioMed Central Ltd Springer Nature B.V BMC |
| Témata: | |
| ISSN: | 1471-2164, 1471-2164 |
| On-line přístup: | Získat plný text |
| Tagy: |
Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
| 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 |
| BookMark | eNp9k0tv1TAQhSNURGlhzwpZsAAWKfEjuckGqaqgVCpC4rG2bGeS65LYwXZa-lv4s0y4pfRWUEVKHOc7Z-zxyV6247yDLHtCiwNK6-o1FSuaM1qJnLK8ovRe9vB6aufGeDfbi_GsKOiqZuWDbJcxioOCPcx-HoPzI-QXtgWSgnLRBDsl650ayBR8ZwfreuI7MgF-WEPAeT1435IB5m_eXCaIpAt-JEalNACxrgOToCUXNq3Jh0vjtcL3YOeRaH9uIwlwDmqIJM7TFCBGLLYUWPuYiB3H2QHpwUF8lN3vkIPHV8_97Ou7t1-O3uenH49Pjg5Pc1NVIuUr3mnNoatKAaWoO9YIAaYsi7psFZRci6ZQ0Gi8qbIuWKnLRlNWrTTlQE3L97OTjW_r1Zmcgh1VuJReWfl7wodeqpCsGUBqUzAteNcZoYQw0DDO61Xbcl61VLMOvd5svKZZj9AacNjUYct0-4uza9n7c8lZw8paoMGLK4Pgv88QkxxtNDAMyoGfo2waVrOGNw2SL-8kacFEhaGoCkSf3ULP_BzwiNGPCUwCpzVCzzdQr3CneIweF2gWT3mINSmv-WqxOvgHhVcLozUYT0wMbAtebQmQSfAj9WqOUZ58_rTNPr3Zveu2_ckrAsUGMMHHGKC7Rmghl19CLpmXS-YlZRJ3j5LqlsTYpJaE48LtcJeQboQRa7gewt-m_VfzC5B4H9Q |
| CitedBy_id | crossref_primary_10_3892_etm_2015_2814 crossref_primary_10_1016_j_livsci_2018_07_011 crossref_primary_10_3389_fimmu_2014_00396 crossref_primary_10_1038_s42003_025_07846_x crossref_primary_10_1371_journal_pntd_0012882 crossref_primary_10_1186_1471_2164_14_230 crossref_primary_10_1371_journal_pone_0041066 crossref_primary_10_3389_fimmu_2020_00765 crossref_primary_10_1016_j_tube_2022_102235 crossref_primary_10_1038_s41598_022_14376_7 crossref_primary_10_1017_S0967199424000224 crossref_primary_10_1186_1297_9716_43_25 crossref_primary_10_1371_journal_pone_0032034 crossref_primary_10_1016_j_vetimm_2017_06_003 crossref_primary_10_1371_journal_pone_0225658 crossref_primary_10_1007_s11033_016_4088_6 crossref_primary_10_3389_fmicb_2022_1041314 crossref_primary_10_3389_fvets_2014_00004 crossref_primary_10_1371_journal_pone_0139678 crossref_primary_10_1007_s12011_023_03841_7 crossref_primary_10_1128_iai_00313_21 crossref_primary_10_1128_IAI_00401_19 crossref_primary_10_3389_fvets_2021_662002 crossref_primary_10_1038_srep31014 crossref_primary_10_1016_j_vetimm_2014_12_001 crossref_primary_10_1371_journal_pone_0239938 crossref_primary_10_1111_age_12140 crossref_primary_10_3389_fgene_2018_00278 crossref_primary_10_1016_j_vetimm_2013_02_016 crossref_primary_10_1016_j_vetimm_2014_04_006 |
| 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. |
| DBID | C6C AAYXX CITATION CGR CUY CVF ECM EIF NPM ISR 3V. 7QP 7QR 7SS 7TK 7U7 7X7 7XB 88E 8AO 8FD 8FE 8FH 8FI 8FJ 8FK ABUWG AEUYN AFKRA AZQEC BBNVY BENPR BHPHI C1K CCPQU DWQXO FR3 FYUFA GHDGH GNUQQ HCIFZ K9. LK8 M0S M1P M7P P64 PHGZM PHGZT PIMPY PJZUB PKEHL PPXIY PQEST PQGLB PQQKQ PQUKI RC3 7QL 7T5 H94 7X8 5PM DOA |
| DOI | 10.1186/1471-2164-12-611 |
| DatabaseName | Springer Nature OA Free Journals CrossRef Medline MEDLINE MEDLINE (Ovid) MEDLINE MEDLINE PubMed Gale In Context: Science ProQuest Central (Corporate) Calcium & Calcified Tissue Abstracts Chemoreception Abstracts Entomology Abstracts (Full archive) Neurosciences Abstracts Toxicology Abstracts Health & Medical Collection ProQuest Central (purchase pre-March 2016) Medical Database (Alumni Edition) ProQuest Pharma Collection Technology Research Database ProQuest SciTech Collection ProQuest Natural Science Collection ProQuest Hospital Collection Hospital Premium Collection (Alumni Edition) ProQuest Central (Alumni) (purchase pre-March 2016) ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central UK/Ireland ProQuest Central Essentials Biological Science Collection ProQuest Central Natural Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Engineering Research Database ProQuest Health & Medical Collection Health Research Premium Collection (Alumni) ProQuest Central Student SciTech Premium Collection ProQuest Health & Medical Complete (Alumni) Biological Sciences ProQuest Health & Medical Collection Medical Database Biological Science Database Biotechnology and BioEngineering Abstracts ProQuest Central Premium ProQuest One Academic (New) Publicly Available Content Database ProQuest Health & Medical Research Collection ProQuest One Academic Middle East (New) ProQuest One Health & Nursing ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic (retired) ProQuest One Academic UKI Edition Genetics Abstracts Bacteriology Abstracts (Microbiology B) Immunology Abstracts AIDS and Cancer Research Abstracts MEDLINE - Academic PubMed Central (Full Participant titles) DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef MEDLINE Medline Complete MEDLINE with Full Text PubMed MEDLINE (Ovid) Publicly Available Content Database ProQuest Central Student Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Health & Medical Complete (Alumni) ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College ProQuest One Health & Nursing ProQuest Natural Science Collection ProQuest Pharma Collection Environmental Sciences and Pollution Management ProQuest Central ProQuest One Applied & Life Sciences ProQuest One Sustainability ProQuest Health & Medical Research Collection Genetics Abstracts Health Research Premium Collection Health and Medicine Complete (Alumni Edition) Natural Science Collection ProQuest Central Korea Health & Medical Research Collection Biological Science Collection Chemoreception Abstracts ProQuest Central (New) ProQuest Medical Library (Alumni) ProQuest Biological Science Collection Toxicology Abstracts ProQuest One Academic Eastern Edition ProQuest Hospital Collection Health Research Premium Collection (Alumni) Biological Science Database ProQuest SciTech Collection Neurosciences Abstracts ProQuest Hospital Collection (Alumni) Biotechnology and BioEngineering Abstracts Entomology Abstracts ProQuest Health & Medical Complete ProQuest Medical Library ProQuest One Academic UKI Edition Engineering Research Database ProQuest One Academic Calcium & Calcified Tissue Abstracts ProQuest One Academic (New) ProQuest Central (Alumni) Bacteriology Abstracts (Microbiology B) AIDS and Cancer Research Abstracts Immunology Abstracts MEDLINE - Academic |
| DatabaseTitleList | Publicly Available Content Database MEDLINE MEDLINE - Academic Genetics Abstracts |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ Open Access Full Text url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: NPM name: PubMed url: http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed sourceTypes: Index Database – sequence: 3 dbid: PIMPY name: Publicly Available Content Database url: http://search.proquest.com/publiccontent sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Biology Veterinary Medicine Agriculture Economics |
| EISSN | 1471-2164 |
| EndPage | 611 |
| ExternalDocumentID | oai_doaj_org_article_bc02b43ffc4a44ce923387dd336d1b2f PMC3292584 2598311201 A282138370 22182502 10_1186_1471_2164_12_611 |
| Genre | Validation Studies Research Support, Non-U.S. Gov't Journal Article |
| GeographicLocations | Ireland |
| GeographicLocations_xml | – name: Ireland |
| GroupedDBID | --- 0R~ 23N 2VQ 2WC 2XV 4.4 53G 5VS 6J9 7X7 88E 8AO 8FE 8FH 8FI 8FJ AAFWJ AAHBH AAJSJ AASML ABDBF ABUWG ACGFO ACGFS ACIHN ACIWK ACPRK ACUHS ADBBV ADRAZ ADUKV AEAQA AENEX AEUYN AFKRA AFPKN AFRAH AHBYD AHMBA AHSBF AHYZX ALMA_UNASSIGNED_HOLDINGS AMKLP AMTXH AOIJS BAPOH BAWUL BBNVY BCNDV BENPR BFQNJ BHPHI BMC BPHCQ BVXVI C1A C6C CCPQU CS3 DIK DU5 E3Z EAD EAP EAS EBD EBLON EBS EJD EMB EMK EMOBN ESX F5P FYUFA GROUPED_DOAJ GX1 H13 HCIFZ HMCUK HYE IAO IGS IHR INH INR IPNFZ ISR ITC KQ8 LK8 M1P M48 M7P M~E O5R O5S OK1 OVT P2P PGMZT PHGZM PHGZT PIMPY PJZUB PPXIY PQGLB PQQKQ PROAC PSQYO PUEGO RBZ RIG RNS ROL RPM RSV SBL SOJ SV3 TR2 TUS U2A UKHRP W2D WOQ WOW XSB AAYXX AFFHD CITATION ALIPV CGR CUY CVF ECM EIF NPM 3V. 7QP 7QR 7SS 7TK 7U7 7XB 8FD 8FK AZQEC C1K DWQXO FR3 GNUQQ K9. P64 PKEHL PQEST PQUKI RC3 7QL 7T5 H94 7X8 5PM |
| ID | FETCH-LOGICAL-c664t-73fbb3ef654e548f2944ec55085dae53b490ae9b0aea58025b59b1267b13e1cd3 |
| IEDL.DBID | DOA |
| ISICitedReferencesCount | 36 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000301437500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1471-2164 |
| IngestDate | Fri Oct 03 12:47:50 EDT 2025 Tue Nov 04 02:02:13 EST 2025 Fri Sep 05 08:25:45 EDT 2025 Tue Oct 07 09:36:14 EDT 2025 Mon Oct 06 18:17:03 EDT 2025 Tue Nov 11 10:17:43 EST 2025 Tue Nov 04 17:42:44 EST 2025 Thu Nov 13 15:32:03 EST 2025 Thu Apr 03 06:58:24 EDT 2025 Sat Nov 29 08:06:09 EST 2025 Tue Nov 18 21:50:08 EST 2025 Sat Sep 06 07:28:42 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 1 |
| Keywords | Bovine Genome Array Differentially Express Gene Single Intradermal Comparative Tuberculin Test Differentially Express Peripheral Blood Leukocyte |
| Language | English |
| License | 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. |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c664t-73fbb3ef654e548f2944ec55085dae53b490ae9b0aea58025b59b1267b13e1cd3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 ObjectType-Undefined-3 |
| OpenAccessLink | https://doaj.org/article/bc02b43ffc4a44ce923387dd336d1b2f |
| PMID | 22182502 |
| PQID | 924250318 |
| PQPubID | 44682 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_bc02b43ffc4a44ce923387dd336d1b2f pubmedcentral_primary_oai_pubmedcentral_nih_gov_3292584 proquest_miscellaneous_992829399 proquest_miscellaneous_1024661160 proquest_journals_924250318 gale_infotracmisc_A282138370 gale_infotracacademiconefile_A282138370 gale_incontextgauss_ISR_A282138370 pubmed_primary_22182502 crossref_primary_10_1186_1471_2164_12_611 crossref_citationtrail_10_1186_1471_2164_12_611 springer_journals_10_1186_1471_2164_12_611 |
| PublicationCentury | 2000 |
| PublicationDate | 2011-12-19 |
| PublicationDateYYYYMMDD | 2011-12-19 |
| PublicationDate_xml | – month: 12 year: 2011 text: 2011-12-19 day: 19 |
| PublicationDecade | 2010 |
| PublicationPlace | London |
| PublicationPlace_xml | – name: London – name: England |
| PublicationTitle | BMC genomics |
| PublicationTitleAbbrev | BMC Genomics |
| PublicationTitleAlternate | BMC Genomics |
| PublicationYear | 2011 |
| Publisher | BioMed Central BioMed Central Ltd Springer Nature B.V BMC |
| Publisher_xml | – name: BioMed Central – name: BioMed Central Ltd – name: Springer Nature B.V – name: BMC |
| 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 |
| SSID | ssj0017825 |
| Score | 2.1898727 |
| 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... |
| SourceID | doaj pubmedcentral proquest gale pubmed crossref springer |
| SourceType | Open Website Open Access Repository Aggregation Database Index Database Enrichment Source Publisher |
| StartPage | 611 |
| 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 |
| SummonAdditionalLinks | – databaseName: Biological Science Database dbid: M7P link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Lb9QwELaggAQHHssrtCCDkBCVol3HzuuECqLAoVXFS71ZsWMvK7bJstkU7W_hzzLjOAspai9c9pBMvI4z_jzjGX9DyHMrUiGMtWEMyhSKRKkwy4si5FpPbFlEWpTWFZtIDw-z4-P8yOfmND6tssdEB9RlrXGPfJyjbYwa-GrxI8SiURhc9RU0LpMrSJLAXebe0SaIAItf3Ecms2TMAIfDCNwDzEZIGBusRI6w_19Y_mtdOpszeSZw6taj_Vv_-Sa3yU1viNK9TnPukEumGpEbe9OlJ-MwI3KtK1S5HpHRV8yacUd36YGPxt8lv96Zqj4x4c9ZaegKF70egqDhrhg4dJ3WliKdsuMvmFOXKU_npv1e6zXYuRQPuFDtuJRplxpmSorbw_RgrQFtHJt0e0JVfTprKDJOwYyhTbvwKbwV_gGeVaEzPOti6BTh-x75sv_285v3oS_2EOokEasw5VYpbmwSCwNelI1y0CEN_lMWl4WJuRL5pDC5gp8izsBSU3GuWJSkinHDdMnvk62qrsxDQjObTKARZVhhRAEeZYlnYFhis5TDBR2Qcf_hpfZM6FiQYy6dR5QlElVFoqpIFklQlYC83Dyx6FhALpB9jbq0kUP-bnehXk6lhwOp9CRSglurRSGENmBm8ywtS86TkqnIBuQZaqJEho4KU4CmRds08sOnj3IPnGSG-wqTgLzwQraG_uvCn6iAUUBSr4HkzkASIEQPbm_3mio9hDVyo6YBebq5iw9iVl5l6raBIYgE2HcsgRboOTJ5jrF6MIMD8qCbQZuRibB6QDyJApIO5tZg6IZ3qtk3R4HOozwC0zkgu_0s_NPx8z7Mowvfcptcd-ECwAaW75Ct1bI1j8lVfbqaNcsnDlh-Aws4g_4 priority: 102 providerName: ProQuest – databaseName: SpringerLINK Contemporary 1997-Present dbid: RSV link: http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwnR3LbtQw0KoKSFx4P0ILMggJgRQ1sR0nPhZEgQMVagH1ZsWOvazYJlWzKdpv4WeZcZKFFIoElxzicWJN5pl5EfLUi1wI532cATHFQhoTF6osY25t4quSWVH5MGwi398vjo7Uhw3CxlqYkO0-hiSDpA5sXcidFMRozMC6x2QCieW8l0DZFciMB4ef15ED0HjZGI78w66J-gld-n-Xxb8oo_OJkueipUEJ7V3_n-PfINcGk5Pu9jRyk2y4-ha50g-hXN0m39-4ujl28bd55egSVdcoSGBTP9Ib3kMbT7EpcuhCsKAh350uXPe1sSuwVimWqVAbOiLTPsHLVRR_8tL3KwsyI_SE7o6pac7mLcW-UUD3tO1OhkTcGl-AFSd0jhUrjs5QCN8hn_Zef3z1Nh5GNsRWSrGMc-6N4c7LTDjwhTxTQAkWvKAiq0qXcSNUUjpl4FJmBdhbJlMmZTI3KXeprfhdslk3tbtPaOFlAg8xLi2dKMEvrLCSJZW-yDncsBHZGb-ktkM_cxyrsdDBrymkRpRrRLlOmQaUR-T5esdJ38vjL7AvkTjWcNiFO9xoTmd6YGptbMKM4N5bUQphHRjLvMirinNZpYb5iDxB0tLYZ6PGRJ5Z2bWtfnd4oHfB1U3x70ASkWcDkG_g_LYc6iIAC9iaawK5PYEEQWAny1sjBetBELVaoUuJgjsij9eruBFz62rXdC2ggAmw0lIJT6AXwCiFEXcwZiNyr2eJNWYYzgDIEhaRfMIsE9RNV-r5l9DInDPFwACOyIuRZX4e_KIP8-BfgLfI1RADAJZL1TbZXJ527iG5bM-W8_b0URAcPwDE-myG priority: 102 providerName: Springer Nature |
| Title | Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes |
| URI | https://link.springer.com/article/10.1186/1471-2164-12-611 https://www.ncbi.nlm.nih.gov/pubmed/22182502 https://www.proquest.com/docview/924250318 https://www.proquest.com/docview/1024661160 https://www.proquest.com/docview/992829399 https://pubmed.ncbi.nlm.nih.gov/PMC3292584 https://doaj.org/article/bc02b43ffc4a44ce923387dd336d1b2f |
| Volume | 12 |
| WOSCitedRecordID | wos000301437500001&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVADU databaseName: BioMed Central customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: RBZ dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.biomedcentral.com/search/ providerName: BioMedCentral – providerCode: PRVAON databaseName: DOAJ Open Access Full Text customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: DOA dateStart: 20000101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVHPJ databaseName: ROAD: Directory of Open Access Scholarly Resources customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: M~E dateStart: 20000101 isFulltext: true titleUrlDefault: https://road.issn.org providerName: ISSN International Centre – providerCode: PRVPQU databaseName: Biological Science Database customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: M7P dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/biologicalscijournals providerName: ProQuest – providerCode: PRVPQU databaseName: Health & Medical Collection customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: 7X7 dateStart: 20090101 isFulltext: true titleUrlDefault: https://search.proquest.com/healthcomplete providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: BENPR dateStart: 20090101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: Publicly Available Content Database customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: PIMPY dateStart: 20090101 isFulltext: true titleUrlDefault: http://search.proquest.com/publiccontent providerName: ProQuest – providerCode: PRVAVX databaseName: SpringerLink Contemporary customDbUrl: eissn: 1471-2164 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017825 issn: 1471-2164 databaseCode: RSV dateStart: 20001201 isFulltext: true titleUrlDefault: https://link.springer.com/search?facet-content-type=%22Journal%22 providerName: Springer Nature |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1fb9MwELdggMQL4j9hozIICYEUNU4cJ3nc0AZ7WFV1gMqTFTv2qOiSaWmG-ln4stw5SVmGBi-8RKp9TlLf-XwX3_2OkNeWJ5wba_0YhMnnQik_zfLcj7QObJGHmhfWFZtIJpN0Ps-ml0p9YUxYCw_cTtxY6SBUPLJW85xzbcAgidKkKKJIFEyFFrUvWD29M9WdH8C-F7u8ooT5IXgE_QFlKsabNgxKEIwNNiSH2_-ndr60PV0Nnbxyfuq2pYP75F5nT9Ld9n88IDdM-ZDcaStMrh-Rnx9MWZ0a_8eiMHSF-1KvJWBQW68bbksrSxHx2EEMLKkLZqdL03yv9BpMUYo5KFQ7uGPaRm-ZguIXXHq01qAQHOBzc0pVdbGoKYJCgVDTujnromxLfACmk9AFpqMYeoIa9jH5fLD_6f1Hv6vH4Gsh-MpPIqtUZKyIuQFHx4YZsFmDi5PGRW7iSPEsyE2m4JLHKRhTKs4UC0WiWGSYLqInZKusSvOM0NSKAG6iDMsNz8HpKzBNhQmbJhE0aI-Me6ZI3YGVY82MpXROSyokslEiGyULJbDRI283I85aoI6_0O4hnzd0CLHtGkDwZCd48l-C55FXKCUSQTRKjNI5yZu6lofHM7kLfixD1z_wyJuOyFbw_jrvkh5gFhB3a0C5M6CEVa4H3du9MMpOy9QyQ38RtbJHXm56cSAGzpWmamqYgpCDCcYE3IFeQ5NleJwOlqpHnrbSvZmZEAH-4yD0SDKQ-8HUDXvKxTeHUh6FWQjWrUfe9Svk94tfx5jn_4Mx2-Su-_APy5tlO2Rrdd6YF-S2vlgt6vMRuZnME3dNR-TW3v5kOhs53THCsN8ptE0Pj6Zf4dfs-Msvb190Ig |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1Lb9NAEB6VFgQceISXaYEFgRBIVuP1-nVAqDxKo5KqgoLKafGud0NEa5c4aZXfwm_gPzLj2AEXtbceuORgjzfr8cw3s7vzAHhsRSSEsdYNUJhcESrlxkmaur7WXZulXIvMVs0moq2teHc32V6AX00uDIVVNphYAXVWaNojX03INyYJfHnww6WmUXS42nTQmEnFppke4YqtfNF7g5_3Cefrb3deb7h1UwFXh6EYu5FvlfKNDQNh0Fu3PMG5avTT4yBLTeArkXRTkyj8SYMYPQIVJMrjYaQ833g683Hcc7AkcDbxIixt9_rbX-bHFmhug-YsNA5XPUR-l-OChOIfQs9r2b6qRcC_huAvS3g8SvPYUW1lAdev_me8uwZXalebrc104zosmLwDl9cGo7rciOnAhVkrzmkHOp8pLqhKTmb9Ot7gBvx8Z_Ji37hHw8ywMZn1BmRx4Fm7c2QVKyyjgtFVhYY9VuUCsD0z-V7oKXryjFJ4mK6qRbNZ8JvJGG2As_5UI55W9bIn-0wVh8OSUU0txARWTg7qIOWc_oCycdiQsnkMG5CBugmfzoR7t2AxL3JzB1hswy4OooyXGpHimjmjLB8vtHHk4wXtwGojaFLXtd6p5cierNZ8cShJNCWJpvS4RNF04Nn8iYNZnZNTaF-R7M7pqEJ5daEYDWQNeFLpLlfCt1aLVAhtcCHhx1GW-X6YeYpbBx6R5EuqQZJTkNMgnZSl7H38INd4zD3aOek68LQmsgXOX6d1zghygcqWtShXWpQIkrp1e7nRDFmDdCnnauHAw_ldepDiDnNTTEpkARfowXohjsBOoEkSikZAR9-B2zONnXOGU3-EoMsdiFq63GJd-04-_FYVefd5gggjHHjeaP2fiZ_0Ye6e-pYP4OLGTv-9fN_b2lyGS9XhCOKSl6zA4ng0MffgvD4cD8vR_RrWGHw9azT4DajC4qw |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV1Zj9MwELbQcogX7iPsAgYhIVaKmtiOkzwuR2EFVCsW0L5ZsWOXim5SNc2i_hb-LDM5CllYJMRLH-Jxkk484xnPzDeEPHEiFsI650ewmHwhtfaTNMt8bkzg8owZkbum2UQ8mSRHR-lBd-BW9dnufUiyrWlAlKZiNVrkrhXxRI5CUKk-A0sfEwsklvaeF9gyCL31w8-bKALsflEfmvzDrMFW1CD2_66Xf9mYTidNnoqcNhvS-Or__pVr5EpnitK9du1cJ-dscYNcbJtTrm-S769tUR5b_9sst3SFW1qvYGBS2-obnklLRxEsuUEnmNMmD57Obf21NGuwYimWr1DTICXTNvHL5hQPf-n7tQFd0mBF18dUlyeziiKeFMgDrepFl6Bb4AOwEoXOsJLF0ikq51vk0_jVxxdv_K6Vg2-kFCs_5k5rbp2MhAUfybEUVogB7yiJ8sxGXIs0yGyq4SeLErDDdJTqkMlYh9yGJue3yVZRFvYuoYmTAdxE2zCzIgN_MccKl1C6JOZwwXhk1H9VZTqcc2y3MVeNv5NIhSxXyHIVMgUs98izzYxFi_HxF9rnuFA2dIjO3Vwol1PVCbvSJmBacOeMyIQwFoxonsR5zrnMQ82cRx7jMlOIv1Fggs80q6tK7R9-UHvgAod4ahB45GlH5Ep4f5N19RLABYTsGlDuDChBQZjB8Ha_mlWnoCqVoquJCt0jjzajOBFz7gpb1hWwgAmw3kIJd6Bn0KQpRuLByPXInVY8Npxh2BsgCphH4oHgDFg3HClmXxqAc85SBoaxR3Z78fn54md9mHv_QvyQXDp4OVbv9idvt8nlJkwA0hemO2RrtaztfXLBnKxm1fJBo09-AKMJeE4 |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Genome-wide+transcriptional+profiling+of+peripheral+blood+leukocytes+from+cattle+infected+with+Mycobacterium+bovis+reveals+suppression+of+host+immune+genes&rft.jtitle=BMC+genomics&rft.au=Killick%2C+Kate+E&rft.au=Browne%2C+John+A&rft.au=Park%2C+Stephen+DE&rft.au=Magee%2C+David+A&rft.date=2011-12-19&rft.pub=BioMed+Central&rft.eissn=1471-2164&rft.volume=12&rft.spage=611&rft.epage=611&rft_id=info:doi/10.1186%2F1471-2164-12-611&rft_id=info%3Apmid%2F22182502&rft.externalDocID=PMC3292584 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1471-2164&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1471-2164&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1471-2164&client=summon |