Filters
Technology
Platform
GSE84079
Mus musculus
15 Downloadable Samples
Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Epithelial cells in the intestinal mucosa maintain gut homeostasis by interacting with different types of microbiota. Proper appropriate immune responses in the intestinal epithelium are essential for the preservation of the intestinal homeostasis. In the present study, we aimed to identify genotypic and phenotypic changes in mice following oral feeding of various substances which has been shown to differentially affect intestinal homeostasis. We orally fed C57BL/6 mice for either one or seven days with one of the four substances: dextran sulfate sodium (DSS); Typhoid VI Polysaccharide vaccine (Vi vaccine); antibiotic cocktails (AB) of ampicillin, vancomycin, neomycin, and metronidazole; or(probiotics)consisting of Lactobacillus Rhamnosus R0011and L. Acidophilus R0052.While DSS and AB feeding resulted in severe gut pathology characterized by infiltration of inflammatory cells, epithelium shedding, and distortion of paneth cells. Vi vaccine and probiotics feeding resulted in phenotypic improvement of the gut health characterized by epithelial cell proliferation and increased formation of tight junctions between epithelial cells. Interestingly, microarray data showed significant increase in the expression levels of genes regulating cell proliferation and intestinal homeostasis in the gut epithelium of probiotics-and Vi vaccine-fed mice compared to DSS-or AB-fed mice. In addition, expression levels of genes regulating cell death and inflammation were significantly increased in the gut epithelium of DSS- and AB-fed mice. These results suggest that intestinal homeostasis play a pivotal role in maintaining gut health and, subsequently, in protecting host against enteric bacteria and external pathogens infection.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Oryza sativa
- 18 Downloadable Samples
- Affymetrix Rice Genome Array (rice)
Description
Leaf rate elongation is extremely sensitive to soil water status.
Publication Title
Transcriptome profiling of leaf elongation zone under drought in contrasting rice cultivars.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Oryza sativa indica group
- 17 Downloadable Samples
- Affymetrix Rice Genome Array (rice)
Description
Rice deletion mutants have not been widely used in functional genomics, because the mutated genes are not tagged and therefore, difficult to identify
Publication Title
Detection of genomic deletions in rice using oligonucleotide microarrays.
Sample Metadata Fields
Specimen part
View Samples- Oryza sativa
- 8 Downloadable Samples
- Affymetrix Rice Genome Array (rice)
Description
OsPSTOL1 confers phosphorus (P)-deficiency tolerance in rice through enhancement of early root growth. The larger root surface area at early stage provides the plants an advantage for nutrient uptake.
Publication Title
The protein kinase Pstol1 from traditional rice confers tolerance of phosphorus deficiency.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 48 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The glycopeptide antibiotic vancomycin (VCM) represents one of the last lines of defense against methicillin-resistant Staphylococcus aureus infections. However, vancomycin is nephrotoxic, but the mechanism of toxicity is still unclear.
Publication Title
Gene expression analysis reveals new possible mechanisms of vancomycin-induced nephrotoxicity and identifies gene markers candidates.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 46 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
The objective of this study was analysis of the whole saliva transcriptome to search for biomarkers of psychosocial stressor exposure and substance use in young adults drawn from a population-based longitudinal cohort, the Oregon Youth Substance Use Project. We conducted genome-wide gene expression analysis on whole saliva RNA from 48 individuals stratified by psychosocial stressor exposure using an Affymetrix Gene ST 1.0 array. We applied Weighted Gene Co-expression Network Analysis (WCGNA) to characterize the high-level structure in the data and to relate expression patterns among samples to participant clinical characteristics. This approach finds clusters of correlated genes (modules) which can reflect clinical, histological, or intracellular organization and function.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Age, Specimen part, Race
View Samples- Rattus norvegicus
- 29 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
The objective of this study is to determine the molecular mechanisms of PMCol-induced hapatotoxicity using microarray
Publication Title
Toxicogenomics and metabolomics of pentamethylchromanol (PMCol)-induced hepatotoxicity.
Sample Metadata Fields
Specimen part, Treatment, Time
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Gene 1.1 ST Array (hugene11st)
Description
The Nicotine Metabolic Ratio (NMR), the ratio of two stable metabolites of nicotine, cotinine and trans-3hydroxycotinin, is a determinant of the number of cigarettes smoked per day (CPD), of smoking topography, responsiveness to treatment via transdermal nicotine for smoking cessation, and carcinogen activation and level. The predominant gene involved in nicotine metabolism is CYP2A6, a highly polymorphic locus located in a cluster of P450 cytochrome protein loci on chr19q13. A recent study comprehensively modeling CYP2A6 genetic variation at seven polymorphisms and a related Nicotine Metabolic Ratio, the cotinine: cotinine+nicotine ratio, explains 72% of NMRC/C+N variation. These results suggest that additional genes may be contributing to nicotine and cotinine metabolism directly or via interaction with CYP2A6 or other genes. To identify additional genes that may influence the NMR, we conducted a genome-wide gene expression analysis of lymphoblastoid cell line (LCL) gene expression in a sample of monozygotic twins discordant for the NMR.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens
- 153 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Over one million prostate biopsies are performed in the U.S. every year. However, pathology examination is not definitive in a significant percentage of cases due limited diagnostic tumor. We have observed that the microenvironment of prostate tumor cells exhibits numerous differential gene expression changes and have asked whether such information can be used to distinguish tumor from nontumor. We initially compared expression analysis data (Affymetrix U133plus2) from 18 volunteer biopsy specimens to 17 specimens containing largely tumor-adjacent stroma and identified 964 significant (p_adj < 0.01 and B > 0) expression changes. These genes were filtered to eliminate possible aging-related genes and genes expressed in tumor cells > 10% of the stroma cell expression level leading to 23 candidate genes (28 Affymetrix probe sets). A classifier based on the 28 probe sets was tested on 289 independent cases, including 195 tumor-bearing cases, 99 nontumor cases (normal biopsies, normal autopsies, remote stroma as well as pure tumor adjacent stroma) all with accuracies >85%, sensitivities >90% and specificities >85%. These results indicate that the prostate cancer microenvironment exhibits reproducible changes useful for categorization as tumor and nontumor.
Publication Title
In silico estimates of tissue components in surgical samples based on expression profiling data.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 125 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Prostate cancer gene expression profiles were studied in this project. A total RNA from 148 prostate sample with various amount of different cell types were hybridized to Affymetrix U133A arrays. The percentage of different cell types vary considerably among samples and were determined by pathologist. Cell type specific genes can be determined by linear regression using the methods of Stuart et al, PNAS, 2004.
Publication Title
In silico estimates of tissue components in surgical samples based on expression profiling data.
Sample Metadata Fields
No sample metadata fields
View Samples