Mycobacterium tuberculosis gene expression profiling within the context of protein networks.

Helmy Rachman; Michael Strong; Ulrich Schaible; Johannes Schuchhardt; Kristine Hagens; Hans Mollenkopf; David Eisenberg; Stefan HE Kaufmann; (2006) Mycobacterium tuberculosis gene expression profiling within the context of protein networks. Microbes and infection / Institut Pasteur, 8 (3). pp. 747-757. ISSN 1286-4579 DOI: 10.1016/j.micinf.2005.09.011
Copy

As one of the world's most successful intracellular pathogens, Mycobacterium tuberculosis, the causative agent of human tuberculosis, is responsible for two to three million deaths annually. The pathogenicity of M. tuberculosis relies on its ability to survive and persist within host macrophage cells during infection. It is of central importance, therefore, to identify genes and pathways that are involved in the survival and persistence of M. tuberculosis within these cells. Utilizing genome-wide DNA arrays we have identified M. tuberculosis genes that are specifically induced during macrophage infection. To better understand the cellular context of these differentially expressed genes, we have also combined our array analyses with computational methods of protein network identification. Our combined approach reveals certain signatures of M. tuberculosis residing within macrophage cells, including the induction of genes involved in DNA damage repair, fatty acid degradation, iron metabolism, and cell wall metabolism.

Full text not available from this repository.

Atom BibTeX OpenURL ContextObject in Span Multiline CSV OpenURL ContextObject Dublin Core Dublin Core MPEG-21 DIDL EndNote HTML Citation JSON MARC (ASCII) MARC (ISO 2709) METS MODS RDF+N3 RDF+N-Triples RDF+XML RIOXX2 XML Reference Manager Refer Simple Metadata ASCII Citation EP3 XML
Export

Downloads