Detalle de: Tuberculosis Genomics Unit at IBV
| Title | Tuberculosis Genomics Unit at IBV |
| Description |
At the Tuberculosis Genomics Unit (TGU) we combine evolutionary, epidemiological, functional and genomic analyses to understand the biology of the Mycobacterium tuberculosis complex, and particularly the causative agents of human tuberculosis, Mycobacterium tuberculosis and Mycobacterium africanum. Furthermore, as the bacillus cannot be understood without the host we are also moving towards integrated host-pathogen “omics” approaches. Our final aim is to find new ways to fight the disease. We work in a unique environment in the interface between clinical and basic science. We therefore collaborate with clinical microbiology units and public health authorities to design new ways to control the spread of the disease. At the same time we collaborate with groups experts in many disciplines to elucidate the genetic determinants of M. tuberculosis virulence. We think that one of the ways to find those determinants is to understand how, when and where the genetic diversity of the bacilli appears and the evolutionary forces behind it. In this way we have been able to make important contributions to describe the global genomic diversity of the bacilli and its relationship with the immune system, the evolution of drug resistance and the changing human populations. Currently we are starting new lines of research on:
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| Home Page | https://www.ibv.csic.es/en/project/tuberculosis-genomics/ |
| Contact Email | icomas@ibv.csic.es |
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| Institution | IBV |
| Ontology | Genomics, Genome Sequencing, Molecular evolution, Phylogenetic Analysis, Drug resistance, Genomic surveillance |
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| Research Lines | Evolution of the Mycobacterium tuberculosis complex, Genomic epidemiology of M. tuberculosis, Genomic information in eHealth systems, NGS in clinical microbiology, Respiratory microbiome, Evolutionary systems biology of tuberculosis, Evolution of drug resistance |
| Funded Projects | Integrating genomics, epidemiology and evolution to accelerate tuberculosis eradication, Reconnecting transmission to global tuberculosis control by mapping pathogen transmission events to host infection status, PREDICIENDO GENOTIPOS EXITOSOS DE MYCOBACTERIUM TUBERCULOSIS COMBINANDO GENÓMICA DE POBLACIONES, APROXIMACIONES FUNCIONALES Y MODELOS DE INFECCIÓN, EXPLOTANDO LA INFORMACIÓN GENÓMICA DEL PATÓGENO PARA IDENTIFICAR NUEVOS DETERMINANTES DEL ÉXITO O FRACASO DEL TRATAMIENTO EN TUBERCULOSIS, MicroGLocal |
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| Researchers | Iñaki Comas Espadas |
