Project description:Rat has been treated with different compounds with the purpose of investigating toxicological mechanisms. But toxic and non-toxic compounds has been administered. 3 toxic (ANIT, DMN, NMF) 3 non-tox (Caerulein, dinitrophenol(DNP), Rosiglitazone) in 5-plicates (30 arrays in all) and 9 untreated (control), 39 samples in all. The array data was used to identify genes with biomarker potential for detecting toxic properties of compounds. Keywords: other
Project description:Rat has been treated with different compounds with the purpose of investigating toxicological mechanisms. But toxic and non-toxic compounds has been administered. 3 toxic (ANIT, DMN, NMF) 3 non-tox (Caerulein, dinitrophenol(DNP), Rosiglitazone) in 5-plicates (30 arrays in all) and 9 untreated (control), 39 samples in all. The array data was used to identify genes with biomarker potential for detecting toxic properties of compounds. Keywords: other Rats was treated with different compounds and RNA from liver was extracyed after 48 hours. Microarrays (GeneChip Rat230 version 2) was run on the RNA
Project description:Fuel ethanol is now considered a global energy commodity that is fully competitive with gasoline. We have determined genome copy number differences that are common to five industrially important fuel ethanol yeast strains responsible for the production of billions of gallons of fuel ethanol per year from sugarcane. The fuel strains used were CAT1, BG1, PE2, SA1, and VR1 (note that two independent isolates were analyzed, denoted by "-1" and "-2"). These array-CGH data were compared with array-CGH data from nine other non-fuel industrial yeasts: An ale brewing strain ("Sc-ale"), four wine strains (GSY2A, GSY3A, GSY10A, GSY11B), and 4 bakers' yeast strains (GSY149, GSY150, GSY154, GSY155). Our results reveal significant amplifications of the telomeric SNO and SNZ genes only in the fuel strains, whose protein products are involved in the biosynthesis of vitamins B6 (pyridoxine) and B1 (thiamin). We show that these amplifications allow these yeasts to grow efficiently, especially at high sugar concentrations, regardless of the presence or absence of either of the two vitamins. Our results reveal important genetic adaptations that have been selected for in the industrial environment, which may be required for the efficient fermentation of biomass-derived sugars from other renewable feedstocks. A strain or line experiment design type assays differences between multiple strains, cultivars, serovars, isolates, lines from organisms of a single species. Strain Name: fuel strains used for aCGH Strain_or_line_design
Project description:Fuel ethanol is now considered a global energy commodity that is fully competitive with gasoline. We have determined genome copy number differences that are common to five industrially important fuel ethanol yeast strains responsible for the production of billions of gallons of fuel ethanol per year from sugarcane. The fuel strains used were CAT1, BG1, PE2, SA1, and VR1 (note that two independent isolates were analyzed, denoted by "-1" and "-2"). These array-CGH data were compared with array-CGH data from nine other non-fuel industrial yeasts: An ale brewing strain ("Sc-ale"), four wine strains (GSY2A, GSY3A, GSY10A, GSY11B), and 4 bakers' yeast strains (GSY149, GSY150, GSY154, GSY155). Our results reveal significant amplifications of the telomeric SNO and SNZ genes only in the fuel strains, whose protein products are involved in the biosynthesis of vitamins B6 (pyridoxine) and B1 (thiamin). We show that these amplifications allow these yeasts to grow efficiently, especially at high sugar concentrations, regardless of the presence or absence of either of the two vitamins. Our results reveal important genetic adaptations that have been selected for in the industrial environment, which may be required for the efficient fermentation of biomass-derived sugars from other renewable feedstocks. A strain or line experiment design type assays differences between multiple strains, cultivars, serovars, isolates, lines from organisms of a single species. Strain Name: fuel strains used for aCGH
Project description:Environmental compounds have been shown to promote epigenetic transgenerational inheritance of disease. The current study was designed to determine if a hydrocarbon mixture involving jet fuel (JP-8) promotes epigenetic transgenerational inheritance of disease. Gestating F0 generation female rats were transiently exposed during the fetal gonadal development period. The direct exposure F1 generation had an increased incidence of kidney abnormalities in both females and males, prostate and pubertal abnormalities in males, and primordial follicle loss and polycystic ovarian disease in females. The first transgenerational generation is the F3 generation, and the jet fuel lineage had an increased incidence of primordial follicle loss and polycystic ovarian disease in females, and obesity in both females and males. Analysis of the jet fuel lineage F3 generation sperm epigenome identified 33 differential DNA methylation regions, termed epimutations. Observations demonstrate hydrocarbons can promote epigenetic transgenerational inheritance of disease and sperm epimutations, potential biomarkers for ancestral exposures. Methylated sperm DNA was isolated from rats ancestrally exposed to jet fuel (Jip). Three independent samples from the treatment group were obtained. Differential DNA methylation between treatment groups was determined using Nimblegen microarrays. Treated samples were paired with control samples and hybridized together on arrays (Jip1/Cip1, Jip2/Cip2, and Jip3/Cip3), resulting in three arrays for the treatment.
Project description:Environmental compounds have been shown to promote epigenetic transgenerational inheritance of disease. The current study was designed to determine if a hydrocarbon mixture involving jet fuel (JP-8) promotes epigenetic transgenerational inheritance of disease. Gestating F0 generation female rats were transiently exposed during the fetal gonadal development period. The direct exposure F1 generation had an increased incidence of kidney abnormalities in both females and males, prostate and pubertal abnormalities in males, and primordial follicle loss and polycystic ovarian disease in females. The first transgenerational generation is the F3 generation, and the jet fuel lineage had an increased incidence of primordial follicle loss and polycystic ovarian disease in females, and obesity in both females and males. Analysis of the jet fuel lineage F3 generation sperm epigenome identified 33 differential DNA methylation regions, termed epimutations. Observations demonstrate hydrocarbons can promote epigenetic transgenerational inheritance of disease and sperm epimutations, potential biomarkers for ancestral exposures.
Project description:We are presenting here the application of toxicogenomics in the evaluation of the toxic effects of three dioxin-like compounds, two Polycyclic aromatic hydrocarbons (PAHs), Benzo(a)pyrene, Benzo(k) fluoranthene and b-naphthoflavone on the developing zebrafish embryo. The main goal is to distinguish the pattern of action of the chemical compounds and their needs varying the times of exposure. The results suggest a variety of MoA for different dioxin-like compounds, probably related to the nature and number of benzene rings. About 5% genes were affected by the treatment. Gene ontology (GO) analyses show that these genes are involved in the oxidation-reduction process. Representatives of each GO functional groups were selected and quantified by real-time PCR to validate the microarray data and to differentiate the action of dioxin-like compounds studied.
Project description:Development of LNA gapmers, antisense oligonucleotides used for efficient inhibition of target RNA expression, is limited by non-target mediated hepatotoxicity issues. In the present study, we investigated hepatic transcription profiles of mice receiving non-toxic and toxic LNA gapmers after a single and repeat administration. To understand the mechanism of LNA gapmer-induced heptotoxicity in mice, we investigated the transcription profiles of liver RNA isolated from mice receiving non-toxic sequence (NTS-1), toxic sequence (TS-2), or severely toxic sequence (HTS-3) of LNA gapmers at 25 mg/kg (dose volume of 10 mL/kg) at 8, 16, or 72 hrs after a single administration (by subcutaneous injection ) using microarray analysis. We also investigated the transcription profiles of liver RNA isolated from mice receiving non-toxic sequence (NTS-1) or toxic sequence (TS-2) of LNA gapmers at 25 mg/kg (dose volume of 10 mL/kg) at 2 weeks after repeated administration (by subcutaneous injection ) using microarray analysis.