Ontology highlight
ABSTRACT:
PROVIDER: PRJEB28273 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Fungal assemblages in agricultural fields using composted aquatic plants
| PRJDB6684 | ENA
Project description:19 cover crops species root exudates were characterized by GC-MS for chemical characterization of the root exudate profiles across different agricultural crops grown hydroponically.
2022-05-02 | MSV000089355 | MassIVE
Project description:Candida albicans is the major invasive fungal pathogen of humans, causing diseases ranging from superficial mucosal infections to disseminated, systemic infections which are often life threatening. Hematogenously disseminated candidiasis (HDC) has a 47% mortality rate despite current antifungal therapy. An increase in prevalence, as well as an increasing resistance to most of the clinically important antifungal therapies, provides a strong impetus to understand the molecular mechanisms of pathogenesis and the acquisition of drug resistance. This information holds promise to identify novel therapeutic targets. A complete and accurate characterization of how the transcriptome of C. albicans responds to its interaction with cells from the host is an absolute necessity to accomplish this goal. RNA-seq (deep-sequencing of cDNA) provides an unbiased method to define comprehensively and systematically the transcriptome of an organism. We propose a comprehensive characterization of the C. albicans transcriptome in two different human tissue culture models, using RNA-seq. Such a characterization will shed unprecedented light on how fungal pathogens sense and respond to the host environment and how the host tissue responds to fungal invasion. We performed a comprehensive characterization of the C. albicans transcriptome in two different murine models of candidiasis (HDC and oropharyngeal candidiasis (OPC)), and two different human tissue culture models, using RNA-seq. Because the two murine models accurately recapitulate the pathology that is observed in clinical cases of candidiasis, we are confident that gene expression levels will provide an accurate representation of what occurs during the course of an infection in humans. Such a characterization of the in vivo transcriptome will shed unprecedented light on how fungal pathogens sense and respond to the host environment and how the host tissue responds to fungal invasion. PRJNA86065 Two different strains of C. albicans (SC5314 or WO-1) were used to infect two different types of human tissue culture monolayers (HUVECs or OKF6-TERT2). RNA from the infection mixtures were harvested at 90 minutes, 5 hours and 8 hours post infection. Experiments were performed in biological duplicate.
2014-03-30 | E-GEOD-56091 | biostudies-arrayexpress
Project description:19 cover crops species root exudates were characterized by LC-MS/MS in DIA mode for chemical characterization of the root exudate profiles across different agricultural crops grown hydroponically.
2022-05-03 | MSV000089385 | MassIVE
Project description:Cropping soils vary in extent of natural suppression of soil-borne plant diseases. However, it is unknown whether similar variation occurs across pastoral agricultural systems. We examined soil microbial community properties known to be associated with disease suppression across 50 pastoral fields varying in management intensity. The composition and abundance of the disease-suppressive community were assessed from both taxonomic and functional perspectives.
2018-03-30 | GSE112489 | GEO
Project description:Comparison of the transcriptome profiles of a widely commercialized maize MON810 variety and its non-GM near-isogenic counterpart grown in agricultural fields. The Helen variety was commercialized by Limagrain Iberica. Variety Helen B was obtained by Advanta; authorized the 11/08/2005; now commercialized by Limagrain Iberica. The insert integrated into the maize genome contains: Cauliflower Mosaic Virus 35S promoter + maize HSP70 intron (partial) + synthetic sequence coding for the Bacillus thuringensis CRYIA(b) insecticidal protein (truncated).
2010-09-21 | E-MEXP-2366 | biostudies-arrayexpress
Project description:Candida albicans is the major invasive fungal pathogen of humans, causing diseases ranging from superficial mucosal infections to disseminated, systemic infections which are often life threatening. Hematogenously disseminated candidiasis (HDC) has a 47% mortality rate despite current antifungal therapy. An increase in prevalence, as well as an increasing resistance to most of the clinically important antifungal therapies, provides a strong impetus to understand the molecular mechanisms of pathogenesis and the acquisition of drug resistance. This information holds promise to identify novel therapeutic targets. A complete and accurate characterization of how the transcriptome of C. albicans responds to its interaction with cells from the host is an absolute necessity to accomplish this goal. RNA-seq (deep-sequencing of cDNA) provides an unbiased method to define comprehensively and systematically the transcriptome of an organism. We propose a comprehensive characterization of the C. albicans transcriptome in two different human tissue culture models, using RNA-seq. Such a characterization will shed unprecedented light on how fungal pathogens sense and respond to the host environment and how the host tissue responds to fungal invasion. We performed a comprehensive characterization of the C. albicans transcriptome in two different murine models of candidiasis (HDC and oropharyngeal candidiasis (OPC)), and two different human tissue culture models, using RNA-seq. Because the two murine models accurately recapitulate the pathology that is observed in clinical cases of candidiasis, we are confident that gene expression levels will provide an accurate representation of what occurs during the course of an infection in humans. Such a characterization of the in vivo transcriptome will shed unprecedented light on how fungal pathogens sense and respond to the host environment and how the host tissue responds to fungal invasion. PRJNA211732
2014-03-30 | GSE56092 | GEO