4.7 Article

RNA-Seq Transcriptome Analysis of Peripheral Blood From Cattle Infected With Mycobacterium bovis Across an Experimental Time Course

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FRONTIERS IN VETERINARY SCIENCE
卷 8, 期 -, 页码 -

出版社

FRONTIERS MEDIA SA
DOI: 10.3389/fvets.2021.662002

关键词

biomarker; cattle; gene expression; host-pathogen interaction; immune response; time series; tuberculosis; Mycobacterium bovis

资金

  1. Science Foundation Ireland [SFI/08/IN.1/B2038, SFI/15/IA/3154]
  2. Department of Agriculture, Food and the Marine [RSF 06 405, 17/RD/US-ROI/52]
  3. Department for Environment, Food & Rural Affairs Project Grant [SE3224]
  4. European Union [KBBE-211602-MACROSYS]
  5. Brazilian Science Without Borders-CAPES Grant [BEX-13070-13-4]
  6. UCD Wellcome Trust [097429/Z/11/Z]

向作者/读者索取更多资源

This study analyzed the transcriptome of hosts infected with Mycobacterium bovis using high-throughput functional genomics technologies, identifying a 19-gene transcriptional biosignature of infection. These genes displayed differential expression at different time points post-infection, serving as candidate host biomarkers for infection.
Bovine tuberculosis, caused by infection with members of the Mycobacterium tuberculosis complex, particularly Mycobacterium bovis, is a major endemic disease affecting cattle populations worldwide, despite the implementation of stringent surveillance and control programs in many countries. The development of high-throughput functional genomics technologies, including RNA sequencing, has enabled detailed analysis of the host transcriptome to M. bovis infection, particularly at the macrophage and peripheral blood level. In the present study, we have analysed the transcriptome of bovine whole peripheral blood samples collected at -1 week pre-infection and +1, +2, +6, +10, and +12 weeks post-infection time points. Differentially expressed genes were catalogued and evaluated at each post-infection time point relative to the -1 week pre-infection time point and used for the identification of putative candidate host transcriptional biomarkers for M. bovis infection. Differentially expressed gene sets were also used for examination of cellular pathways associated with the host response to M. bovis infection, construction of de novo gene interaction networks enriched for host differentially expressed genes, and time-series analyses to identify functionally important groups of genes displaying similar patterns of expression across the infection time course. A notable outcome of these analyses was identification of a 19-gene transcriptional biosignature of infection consisting of genes increased in expression across the time course from +1 week to +12 weeks post-infection.

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