Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Comparison of Bleo, Asthma, TH2 and Infection Models

ABSTRACT: Disease-Specific Gene Expression Profiling in Multiple Models of Lung Disease We profiled lung gene expression in 12 mouse models of infection, allergy, and lung injury. A total of 24 transcripts, including many involved in inflammation and immune activation, were differentially expressed in a substantial majority (9 or more) of the models. Expression patterns distinguished three groups of models: (1) bacterial infection (n = 5), with changes in 89 transcripts, including many related to nuclear factor-B signaling, cytokines, chemokines, and their receptors; (2) bleomycin-induced diseases (n = 2), with changes in 53 transcripts, including many related to matrix remodeling and Wnt signaling; and (3) T helper cell type 2 (allergic) inflammation (n = 5), with changes in 26 transcripts, including many encoding epithelial secreted molecules, ion channels, and transporters. 2 color design with a reference pool

ORGANISM(S): Mus musculus

SUBMITTER: Michael Salazar

PROVIDER: E-GEOD-4231 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Disease-specific gene expression profiling in multiple models of lung disease.

Lewis Christina C CC Yang Jean Yee Hwa JY Huang Xiaozhu X Banerjee Suman K SK Blackburn Michael R MR Baluk Peter P McDonald Donald M DM Blackwell Timothy S TS Nagabhushanam Vijaya V Peters Wendy W Voehringer David D Erle David J DJ

American journal of respiratory and critical care medicine 20071120 4

<h4>Rationale</h4>Microarray technology is widely employed for studying the molecular mechanisms underlying complex diseases. However, analyses of individual diseases or models of diseases frequently yield extensive lists of differentially expressed genes with uncertain relationships to disease pathogenesis.<h4>Objectives</h4>To compare gene expression changes in a heterogeneous set of lung disease models in order to identify common gene expression changes seen in diverse forms of lung pathology ...[more]

PMID: 18029791

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Project description:Obesity and diabetes associated visual impairment and vascular dysfunctions are increasing reasons for vision loss. The detailed mechanisms in these diseases are still largely unknown, but mice models have been useful to study these mechanisms and explore the detailed effects of potential compounds. Such compounds usually have antioxidant and anti-inflammatory properties. These properties are found in anthocyanins and a major source of dietary anthocyanins in Nordic diet is bilberries (European wild blueberries, Vaccinium myrtillus). In this explorative study we show results with differentially expressed genes in retina using a high-fat diet (HFD) mouse model. Our findings displayed differential regulation of genes in pathways for apoptosis, inflammation and oxidative stress, especially systemic lupus erythematosus (SLE), mitogen activated protein kinase (MAPK) and glutathione metabolism. Mice fed with HFD had increased retinal gene expression of several crystallins, which was reduced in the retina of mice fed with bilberries. Bilberries seem to reduce the expression of genes in MAPK and to increase the expression of genes in glutathione metabolism pathway. All together despite minor effects in the mouse phenotype, a diet rich in bilberries may prevent the retinal gene expression changes in the early stages of obesity. Mice were fed ad libitum with normal control diet (NCD, 10% kcal fat), high-fat diet (HFD, 45% kcal fat), 5% (w/w) freeze-dried biberries (Vaccinium myrtillus) in NCD (NCD+BB) or HFD (HFD+BB) for 12 weeks. Diets were prepared in Research Diets Inc. Feed consumption and weight gain were measured during the feeding trial, and blood pressure and serum markers of obesity at the end. Retinas were collected and RNA extracted from all 24 mice samples, and pooled retinas from 4 mice per group were hybridized with standard Illumina protocols. The expression in retinas was analyzed using R, Pathvisio and DAVID to screen for differences between high-fat and berry induced changes to control diets and further bilberry induced changes to HFD up- or downregulated transcripts. diet: NCD, HFD, NCD+BB, HFD+BB

Project description:The unicellular cyanobacterium Synechocystis sp. PCC 6803 is a model system for studying biochemistry, genetics and molecular biology of photobiological processes. Despite its importance in basic and applied research, the genome-wide picture of transcriptional regulation in this bacterium is limited. Characteristic transcriptional responses to changes in the growth environment are expected to provide a scaffold for describing the Synechocystis transcriptional regulatory network as well as efficient means for functional annotation of genes in the genome. We designed, validated and used Synechocystis genome-wide oligonucleotide (70-mer) microarray (representing 96.7% of all chromosomal ORFs) to study transcriptional activity of the cyanobacterial genome in response to S deprivation. The microarray data were verified by quantitative RT-PCR. We made five main observations: 1) Transcriptional changes upon sulfate withdrawal were relatively moderate, but significant and consistent with growth kinetics; 2) S acquisition genes encoding for a high-affinity sulfate transporter were significantly induced, while decreased transcription of genes for phycobilisome, photosystems I and II, cytochrome b6/f, and ATP synthase indicated reduced light-harvesting and photosynthetic activity; 3) S deprivation elicited transcriptional responses associated with general growth arrest and stress; 4) A large number of genes regulated by S availability encode hypothetical proteins or proteins of unknown function; 5) Hydrogenase structural and maturation accessory genes were not identified as differentially expressed, even though increased hydrogen evolution was observed. The expression profiles recorded by using this oligonucleotide-based microarray platform revealed that during transition from the condition of plentiful sulfur to no sulfur, Synechocystis undergoes coordinated transcriptional changes, including genes whose products are involved in sensing nutrient limitations and tuning bacterial metabolism. The transcriptional profile of the nutrient limitation was dominated by decrease in abundances of many transcripts. However, these changes were unlikely due to the across-the-board, non-specific shut down of transcription in a condition of growth arrest. Down-regulation of transcripts encoding proteins whose function depends on a cellular sulfur status indicated that the observed repression has a specific regulatory component. The repression of certain sulfur-related genes was paralleled by activation of genes involved in internal and external S scavenging. Keywords: stress response, time course Synechocystis sp. PCC 6803 was grown photoautotrophically in BG-11 medium supplemented with 8mM NaHCO3 and buffered with 10mM HEPES (pH 7.4). The cells were grown in 250ml flasks at 32oC under a light intensity of 25µmol photons m-2 s-1. Cultures were bubbled with sterile air containing 1% (v/v) CO2. Log phase cells (OD730nm=0.6) were harvested by centrifugation (2000×g for 12 min) washed once and then re-suspended in sulfate-free media (MgSO4 replaced by the same molarity of MgCl2). In addition, all S-containing trace metals in BG-11 were replaced by non-S containing metals. Cells were harvested and fixed for microarray analysis by adding 10% (v/v) ice-cold 5% phenol in ethanol stop solution at the following time points: before S-depravation (time 0, control), 1, 3, 6, 12, 24, 48 and 72 hr after S-depravation. S-deprivation with HEPES buffering control experiment was performed as described above, except that HEPES buffer was used upon sulfate removal. Bacterial samples for a time course were taken at time 0, 1, 12 and 24 hrs after sulfate withdrawal. Growth stage control experiment was done in parallel with S deprivation experiments. Samples were taken at 0, 1, 2.5, 4, 7, 11 and 48 hr after OD730nm reached 0.60. All the experiments were done in biological replicates.

Dataset Information

Comparison of Bleo, Asthma, TH2 and Infection Models

Publications

Disease-specific gene expression profiling in multiple models of lung disease.

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