Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Transcriptional profiling of disease progression in bovine tuberculosis and the identification of potential diagnostic biomarkers


ABSTRACT: The definition of biomarkers correlating with disease progression could have impact on the rational design of novel diagnostic approaches for bovine tuberculosis in cattle. We have used the advantages of the murine model to identify promising candidates in the host transcriptome post-infection. RNA from BALB/c splenocytes and lung cells after aerogenic Mycobacterium bovis infection were with high-density microarrays to defining biomarkers of disease progression. In antigen-stimulated splenocytes we found statically significant modulation of 1109 genes early after infection and 1134 at later time-point post-infection. 618 of these genes were modulated at both time points. In the lung 282 genes were significantly modulated post-infection. Amongst the most strongly up-regulated genes were gra

ORGANISM(S): Mus musculus

SUBMITTER: ELIHU Aranday-Cortes 

PROVIDER: E-GEOD-33058 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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