Abstract
Molecular signatures and their interactions behind the successful establishment of infection of Mycobacterium tuberculosis (Mtb) inside macrophage are largely unknown. In this work, we present an inter-system scale atlas of the gene expression signatures, their interactions and higher order gene functions of macrophage-Mtb environment at the time of infection. We have carried out large-scale meta-analysis of previously published gene expression microarray studies andhave identified a ranked list of differentially expressed genes and their higher order functions in intracellular Mtb as well as the infected macrophage. Comparative analysis of gene expression signatures of intracellular Mtb with the in vitro dormant Mtb at different hypoxic and oxidative stress conditions led to the identification of the large number of Mtb functional groups, namely operons, regulons and pathways that were common and unique to the intracellular environment and dormancy state. Some of the functions that are specific to intracellular Mtb are cholesterol degradation and biosynthesis of immunomodulatory phenolic compounds. The molecular signatures we have identified to be involved in adaptation to different stress conditions in macrophage environment may be critical for designing therapeutic interventions against tuberculosis. And, our approach may be broadly applicable for investigating other host-pathogen interactions.
Highlights
Mycobacterium tuberculosis (Mtb) is the causative factor for tuberculosis (TB)
We carried out Functional over-representation analysis (FOA) to identify higher order functions of induced or suppressed gene expression signatures both in Mtb as well as in the infected macrophages by considering functional groups of genes such as operons, regulons, pathways, complexes and biological process
From this analysis, it is clear that Mtb effectively fights against the oxidative, starvation and hypoxic conditions presented by the host as defence against infection
Summary
Mycobacterium tuberculosis (Mtb) is the causative factor for tuberculosis (TB). Besides HIV, Mtb is the leading cause of death worldwide[1,2,3]. Many independent microarray studies were conducted to identify differentially expressed genes in Mtb as well as macrophages during the stable infection[10,11,12,13,14,15,16,17,18,19]. We performed simultaneous meta-analysis of gene expression microarray data from infected host cell (macrophage) as well as pathogen (Mtb) to identify the ranked list of gene expression signatures induced in host-pathogen environment. Functional over-representation analysis (FOA) of different gene groups namely complexes, pathways, regulons and gene ontology terms among the gene expression signatures was performed which led us to identify the system-wide functions in Mtb-macrophage environment. Inclusion of operons for FOA of Mtb gene expression signatures identified many unknown pathways/complexes and adaptive mechanisms within the macrophage environment
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