Literature DB >> 19486308

Gene expression profiling of the host response to Mycobacterium bovis infection in cattle.

D E MacHugh1, E Gormley, S D E Park, J A Browne, M Taraktsoglou, C O'Farrelly, K G Meade.   

Abstract

Bovine tuberculosis (BTB), caused by Mycobacterium bovis, continues to pose a threat to livestock worldwide and, as a zoonotic infection, also has serious implications for human health. The implementation of comprehensive surveillance programmes to detect BTB has been successful in reducing the incidence of infection in many countries, yet BTB has remained recalcitrant to eradication in several EU states, particularly in Ireland and the UK. There are well-recognized limitations in the use of the current diagnostics to detect all infected animals and this has led to renewed efforts to uncover novel diagnostic biomarkers that may serve to enhance the performance of the tests. Studies of single immunological parameters have so far been unable to unlock the complexities of the immune response to mycobacterial infection. However, the development of high-throughput methods including pan-genomic gene expression technologies such as DNA microarrays has facilitated the simultaneous identification and analysis of thousands of genes and their interactions during the immune response. In addition, the application of these new genomic technologies to BTB has identified pathogen-associated immune response signatures of host infection. The objective of these investigations is to understand the changing profile of immune responses throughout the course of infection and to identify biomarkers for sensitive diagnosis, particularly during the early stages of infection. Transcriptional profiling via microarray and more recently via next-generation sequencing technologies may lead to the development of specific and sensitive diagnostics for M. bovis infection and will enhance the prospect of eradication of tuberculosis from cattle populations.

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Year:  2009        PMID: 19486308     DOI: 10.1111/j.1865-1682.2009.01082.x

Source DB:  PubMed          Journal:  Transbound Emerg Dis        ISSN: 1865-1674            Impact factor:   5.005


  11 in total

1.  Gene expression profiling of Mycobacterium avium subsp. paratuberculosis in simulated multi-stress conditions and within THP-1 cells reveals a new kind of interactive intramacrophage behaviour.

Authors:  Andrea Cossu; Leonardo Antonio Sechi; Stefania Zanetti; Valentina Rosu
Journal:  BMC Microbiol       Date:  2012-05-30       Impact factor: 3.605

Review 2.  The impact of transcriptomics on the fight against tuberculosis: focus on biomarkers, BCG vaccination, and immunotherapy.

Authors:  Carlos Rodrigo Zárate-Bladés; Celio Lopes Silva; Geraldo A Passos
Journal:  Clin Dev Immunol       Date:  2010-12-20

Review 3.  Tuberculosis immunity: opportunities from studies with cattle.

Authors:  W Ray Waters; Mitchell V Palmer; Tyler C Thacker; William C Davis; Srinand Sreevatsan; Paul Coussens; Kieran G Meade; Jayne C Hope; D Mark Estes
Journal:  Clin Dev Immunol       Date:  2010-12-06

Review 4.  Sequencing technologies and genome sequencing.

Authors:  Chandra Shekhar Pareek; Rafal Smoczynski; Andrzej Tretyn
Journal:  J Appl Genet       Date:  2011-06-23       Impact factor: 3.240

5.  Genome-wide transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis reveals suppression of host immune genes.

Authors:  Kate E Killick; John A Browne; Stephen D E Park; David A Magee; Irene Martin; Kieran G Meade; Stephen V Gordon; Eamonn Gormley; Cliona O'Farrelly; Karsten Hokamp; David E MacHugh
Journal:  BMC Genomics       Date:  2011-12-19       Impact factor: 3.969

6.  Differential gene expression segregates cattle confirmed positive for bovine tuberculosis from antemortem tuberculosis test-false positive cattle originating from herds free of bovine tuberculosis.

Authors:  Ailam Lim; Juan P Steibel; Paul M Coussens; Daniel L Grooms; Steven R Bolin
Journal:  Vet Med Int       Date:  2012-06-04

7.  Analysis of the Bovine Monocyte-Derived Macrophage Response to Mycobacterium avium Subspecies Paratuberculosis Infection Using RNA-seq.

Authors:  Maura E Casey; Kieran G Meade; Nicolas C Nalpas; Maria Taraktsoglou; John A Browne; Kate E Killick; Stephen D E Park; Eamonn Gormley; Karsten Hokamp; David A Magee; David E MacHugh
Journal:  Front Immunol       Date:  2015-02-04       Impact factor: 7.561

8.  Whole-transcriptome, high-throughput RNA sequence analysis of the bovine macrophage response to Mycobacterium bovis infection in vitro.

Authors:  Nicolas C Nalpas; Stephen D E Park; David A Magee; Maria Taraktsoglou; John A Browne; Kevin M Conlon; Kévin Rue-Albrecht; Kate E Killick; Karsten Hokamp; Amanda J Lohan; Brendan J Loftus; Eamonn Gormley; Stephen V Gordon; David E MacHugh
Journal:  BMC Genomics       Date:  2013-04-08       Impact factor: 3.969

9.  Draft Genome Sequences of Mycobacterium bovis BZ 31150 and Mycobacterium bovis B2 7505, Pathogenic Bacteria Isolated from Archived Captive Animal Bronchial Washes and Human Sputum Samples in Uganda.

Authors:  Sylvia I Wanzala; Jesca Nakavuma; Dominic A Travis; Praiscillia Kia; Sam Ogwang; Srinand Sreevatsan
Journal:  Genome Announc       Date:  2015-10-08

10.  RNA-seq Transcriptional Profiling of Peripheral Blood Leukocytes from Cattle Infected with Mycobacterium bovis.

Authors:  Kirsten E McLoughlin; Nicolas C Nalpas; Kévin Rue-Albrecht; John A Browne; David A Magee; Kate E Killick; Stephen D E Park; Karsten Hokamp; Kieran G Meade; Cliona O'Farrelly; Eamonn Gormley; Stephen V Gordon; David E MacHugh
Journal:  Front Immunol       Date:  2014-08-26       Impact factor: 7.561

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