ArticleScientific reports2013
Mining large-scale response networks reveals 'topmost activities' in Mycobacterium tuberculosis infection.
Article in Scientific reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Systems-level profiling of early peripheral host-response landscape variations across COVID-19 severity states in an Indian cohort.Genes and immunity · 2023Article
- Functional and Biochemical Characterization of the MazEF6 Toxin-Antitoxin System of Mycobacterium tuberculosis.Journal of bacteriology · 2022Article
- A new blood-based RNA signature (RiScience · 2022Article
- Article
- Immune Subtyping in Latent Tuberculosis.Frontiers in immunology · 2021Article
- A Multi-Pronged Computational Pipeline for Prioritizing Drug Target Strategies for Latent Tuberculosis.Frontiers in chemistry · 2020Article
- VapC21 Toxin Contributes to Drug-Tolerance and Interacts With Non-cognate VapB32 Antitoxin inFrontiers in microbiology · 2020Article
- Identification of a gene signature for discriminating metastatic from primary melanoma using a molecular interaction network approach.Scientific reports · 2017Article
- Article
- Unbiased Identification of Blood-based Biomarkers for Pulmonary Tuberculosis by Modeling and Mining Molecular Interaction Networks.EBioMedicine · 2017Article
- Comparative Proteomics Analysis of Human Macrophages Infected with VirulentFrontiers in cellular and infection microbiology · 2017Article
- Meta-analysis of host response networks identifies aNPJ systems biology and applications · 2017Article
- DenHunt - A Comprehensive Database of the Intricate Network of Dengue-Human Interactions.PLoS neglected tropical diseases · 2016Article
- Expression profiling of lymph nodes in tuberculosis patients reveal inflammatory milieu at site of infection.Scientific reports · 2015Article
- A multi-scale approach to designing therapeutics for tuberculosis.Integrative biology : quantitative biosciences from nano to macro · 2015Article
- Macrophage defense mechanisms against intracellular bacteria.Immunological reviews · 2015Review
- The application of transcriptional blood signatures to enhance our understanding of the host response to infection: the example of tuberculosis.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2014Review
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mycobacterium tuberculosis owes its high pathogenic potential to its ability to evade host immune responses and thrive inside the macrophage. The outcome of infection is largely determined by the cellular response comprising a multitude of molecular events. The complexity and inter-relatedness in the processes makes it essential to adopt systems approaches to study them. In this work, we construct a comprehensive network of infection-related processes in a human macrophage comprising 1888 proteins and 14,016 interactions. We then compute response networks based on available gene expression profiles corresponding to states of health, disease and drug treatment. We use a novel formulation for mining response networks that has led to identifying highest activities in the cell. Highest activity paths provide mechanistic insights into pathogenesis and response to treatment. The approach used here serves as a generic framework for mining dynamic changes in genome-scale protein interaction networks.
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