Dataset Information

Measuring bovine ?? T cell function at the site of Mycobacterium bovis infection.

ABSTRACT: Bovine ?? T cells are amongst the first cells to accumulate at the site of Mycobacterium bovis infection; however, their role in the developing lesion remains unclear. We utilized transcriptomics analysis, in situ hybridization, and a macrophage/?? T cell co-culture system to elucidate the role of ?? T cells in local immunity to M. bovis infection. Transcriptomics analysis revealed that ?? T cells upregulated expression of several novel, immune-associated genes in response to stimulation with M. bovis antigen. BCG-infected macrophage/?? T cell co-cultures confirmed the results of our RNAseq analysis, and revealed that ?? T cells from M. bovis-infected animals had a significant impact on bacterial viability. Analysis of ?? T cells within late-stage M. bovis granulomas revealed significant expression of IFN-? and CCL2, but not IL-10, IL-22, or IL-17. Our results suggest ?? T cells influence local immunity to M. bovis through cytokine secretion and direct effects on bacterial burden.

SUBMITTER: Rusk RA

PROVIDER: S-EPMC5703227 | biostudies-literature | 2017 Dec

REPOSITORIES: biostudies-literature

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Measuring bovine γδ T cell function at the site of Mycobacterium bovis infection.

Rusk Rachel A RA Palmer Mitchell V MV Waters W Ray WR McGill Jodi L JL

Veterinary immunology and immunopathology 20171027

Bovine γδ T cells are amongst the first cells to accumulate at the site of Mycobacterium bovis infection; however, their role in the developing lesion remains unclear. We utilized transcriptomics analysis, in situ hybridization, and a macrophage/γδ T cell co-culture system to elucidate the role of γδ T cells in local immunity to M. bovis infection. Transcriptomics analysis revealed that γδ T cells upregulated expression of several novel, immune-associated genes in response to stimulation with M. ...[more]

PMID: 29129226

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Project description:BACKGROUND: Mycobacterium bovis, the causative agent of bovine tuberculosis, is an intracellular pathogen that can persist inside host macrophages during infection via a diverse range of mechanisms that subvert the host immune response. In the current study, we have analysed and compared the transcriptomes of M. bovis-infected monocyte-derived macrophages (MDM) purified from six Holstein-Friesian females with the transcriptomes of non-infected control MDM from the same animals over a 24 h period using strand-specific RNA sequencing (RNA-seq). In addition, we compare gene expression profiles generated using RNA-seq with those previously generated by us using the high-density Affymetrix® GeneChip® Bovine Genome Array platform from the same MDM-extracted RNA. RESULTS: A mean of 7.2 million reads from each MDM sample mapped uniquely and unambiguously to single Bos taurus reference genome locations. Analysis of these mapped reads showed 2,584 genes (1,392 upregulated; 1,192 downregulated) and 757 putative natural antisense transcripts (558 upregulated; 119 downregulated) that were differentially expressed based on sense and antisense strand data, respectively (adjusted P-value ? 0.05). Of the differentially expressed genes, 694 were common to both the sense and antisense data sets, with the direction of expression (i.e. up- or downregulation) positively correlated for 693 genes and negatively correlated for the remaining gene. Gene ontology analysis of the differentially expressed genes revealed an enrichment of immune, apoptotic and cell signalling genes. Notably, the number of differentially expressed genes identified from RNA-seq sense strand analysis was greater than the number of differentially expressed genes detected from microarray analysis (2,584 genes versus 2,015 genes). Furthermore, our data reveal a greater dynamic range in the detection and quantification of gene transcripts for RNA-seq compared to microarray technology. CONCLUSIONS: This study highlights the value of RNA-seq in identifying novel immunomodulatory mechanisms that underlie host-mycobacterial pathogen interactions during infection, including possible complex post-transcriptional regulation of host gene expression involving antisense RNA.

Dataset Information

Measuring bovine ?? T cell function at the site of Mycobacterium bovis infection.

Publications

Measuring bovine γδ T cell function at the site of Mycobacterium bovis infection.

Similar Datasets

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