Project description:Analyzed 84 genes from macrophages infected with Histoplasma capsulatum for changes in expression over 24 hours Macrophages infected with Histoplasma capsulatum were analyzed for alterations in apoptosis genes, 5 biological replicate (rep1-5)
Project description:To identify signaling pathways that are induced by macrophages infected with Histoplasma capsulatum, we examined the whole genome expression profile of murine bone marrow derived macrophages infected with conidia, the natural infectious particle of Histoplasma. Conidia induced the expression of signature Type I interferon response genes. The induction of a Type I interferon response was specific to conidia, yeast cells did not trigger the response. Macrophages that lack the Type I interferon receptor, IFNAR1, were infected and compared to wild-type macrophages. The expression of some Type I IFN response genes are dependent upon Keywords: Murine bone marrow derived macrophage transcriptional response to infection with Histoplasma capsulatum conidia We analyzed a series of 24 MEEBO arrays on which were hybed RNA amplified from bone marrow derived macrophages from C57BL/6 (WT) or ifnar1-/- mice either mock infected or infected with H. capsulatum conidia or yeast cells.
Project description:The fungal pathogen Histoplasma capsulatum is thought to be the most common cause of fungal respiratory infections in immunocompetent humans, yet little is known about its biology. Here we provide the first genome-wide studies to experimentally validate its genome annotation. A functional interrogation of the Histoplasma genome provides critical support for continued investigation into the biology and pathogenesis of H. capsulatum and related fungi. We employed a three-pronged approach to provide a functional annotation for the H. capsulatum G217B strain. First, we probed high-density tiling arrays with labeled cDNAs from cells grown under diverse conditions. These data defined 6,172 transcriptionally active regions (TARs), providing validation of 6,008 gene predictions. Interestingly, 22% of these predictions showed evidence of anti-sense transcription. Additionally, we detected transcription of 264 novel genes not present in the original gene predictions. To further enrich our analysis, we incorporated expression data from whole-genome oligonucleotide microarrays. These expression data included profiling under growth conditions that were not represented in the tiling experiment, and validated an additional 2,249 gene predictions. Finally, we compared the G217B gene predictions to other available fungal genomes, and observed that an additional 254 gene predictions had an ortholog in a different fungal species, suggesting that they represent genuine coding sequences. These analyses yielded a high confidence set of validated gene predictions for H. capsulatum. The transcript sets resulting from this study are a valuable resource for further experimental characterization of this ubiquitous fungal pathogen. The data is available for interactive exploration at http://histo.ucsf.edu.
