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Histoplasma capsulatum

ABSTRACT: Genome-wide reprogramming of transcript architecture by temperature specifies the developmental states of the human pathogen Histoplasma [ribosome profiling]

PROVIDER: PRJNA283425 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR2015210.fastq.gz	Fastqsanger.gz
	SRR2015211.fastq.gz	Fastqsanger.gz
	SRR2015212.fastq.gz	Fastqsanger.gz
	SRR2015213.fastq.gz	Fastqsanger.gz
	SRR2015214.fastq.gz	Fastqsanger.gz

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Experimental annotation of Histoplasma capsulatum transcribed regions using high-resolution tiling arrays

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.

2011-08-12 | GSE31155 | GEO

Genome-wide reprogramming of transcript architecture by temperature specifies the developmental states of the human pathogen Histoplasma [ribosome profiling]

Project description:Eukaryotic cells integrate layers of gene regulation to coordinate complex cellular processes; however, mechanisms of post-transcriptional gene regulation remain poorly studied. The human fungal pathogen Histoplasma capsulatum (Hc) responds to environmental or host temperature by initiating unique transcriptional programs to specify multicellular (hyphae) or unicellular (yeast) developmental states that function in infectivity or pathogenesis, respectively. Here we used recent advances in next-generation sequencing to uncover a novel post-transcriptional mechanism of gene regulation in Hc developmental cell types. We found that ~2% percent of Hc transcripts exhibit 5’ leader sequences that differ markedly in length between morphogenetic states. Ribosome density and mRNA abundance measurements uncovered a class of differential leader transcripts that exhibit tight transcriptional and translational regulation. Further examination of these dually regulated genes revealed that some control Hc morphology and that their strict regulation is necessary for the pathogen to make appropriate developmental decisions in response to temperature. This series contains ribosomal footprinting data for Hc G217B.

2015-07-16 | GSE68705 | GEO

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