Project description:This SuperSeries is composed of the following subset Series: GSE36341: mRNA degradation in Mycobacterium tuberculosis under aerobic conditions GSE36342: mRNA degradation in Mycobacterium smegmatis under aerobic conditions GSE36343: mRNA degradation in Mycobacterium tuberculosis during cold and hypoxic stress GSE36344: mRNA degradation in Mycobacterium tuberculosis with DosR ectopically induced Refer to individual Series
Project description:Comparison of gene expression profile of the whiB4 mutant strain of Mycobacterium tuberculosis with the wild type Mycobacterium tuberculosis H37RV Mtb WhiB4 mutant mRNA was compared with the mRNA of wtMtb H37RV under aerobic conditons
Project description:This SuperSeries is composed of the following subset Series: GSE34919: Genome-wide Definition of the SigF Regulon in Mycobacterium tuberculosis (ChIP-chip) GSE34922: Genome-wide Definition of the SigF Regulon in Mycobacterium tuberculosis (Expression) Refer to individual Series
Project description:Transcriptional profiling of Mycobacterium tuberculosis H37Rv strains comparing control DMSO treated strains with Lupulone treated strains. Goal was to determine the effects of Lupulone against Mycobacterium tuberculosis H37Rv strains.
Project description:Transcriptional profiling of Mycobacterium tuberculosis H37Rv strains comparing control DMSO treated strains with Linezolid treated strains. Goal was to determine the effects of Linezolid against Mycobacterium tuberculosis H37Rv strains.
Project description:Analysis of mesenchymal stell cell gene expression level upon Mycobacterium tuberculosis infection. Transcriptome landscape provide important information of the response of stem cell infetion with Mycobacterium tuberculosis such as antibacterial pathways and specific anabolic/catabolic cellular functions.
Project description:We analyzed the genes expressed, or the transcriptome, of bacilli (Mycobacterium tuberculosis) growing in fatty acids as sole carbon source. Using new technologies to massively sequence of RNA molecules we identified a group of genes that provides novel insight regarding the metabolic pathways and transcriptional regulation of latent M. Tuberculosis.