Filters
Technology
Platform
GSE24150
Homo sapiens
1 Downloadable Sample
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Microarray based mRNA profiling was used to identify the mechanism of action for the small molecule b-AP15.
Publication Title
Inhibition of proteasome deubiquitinating activity as a new cancer therapy.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 8 Downloadable Samples
Illumina HiSeq 2500
Description
Growth factors (GFs) suppression by steroid hormones recurs in embryology and is co-opted in pathology. While studying mammary cell migration, which is stimulated by GFs and antagonized by glucocorticoids (GCs), we found that GCs inhibit positive feedback loops activated by GFs and stimulate the reciprocal negative loops. Although no alterations in DNA methylation accompany the transcriptional events instigated by either stimulus, forced demethylation of distal regions broadened the repertoire of inducible genes. Our data indicate that the crosstalk involve transcription factors like p53 and NF-kB, along with reduced pausing (and traveling) of RNA polymerase II (RNAPII) at the promoters (and bodies) of GF-inducible genes. In addition, while GFs hyper-acetylated chromatin at unmethylated promoters and enhancers of genes involved in motility, GCs hypo-acetylated the corresponding regions. In conclusion, stably unmethylated genomic regions that encode feedback regulatory modules and differentially recruit RNAPII and acetylases/deacetylases underlie suppression of growth factor signaling by glucocorticoids. Overall design: RNA-Seq – EGF treatemnt for 60 min of WT and DNMT1a and DNMT3b double-knockout HCT116 cells
Publication Title
Epigenetic mechanisms underlie the crosstalk between growth factors and a steroid hormone.
Sample Metadata Fields
Treatment, Subject
View Samples- Rattus norvegicus
- 16 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Vitamin A is the only known compound that produces spontaneous fractures in rats. In an effort to resolve the molecular mechanism behind this effect, we fed young rats high doses of vitamin A and performed a global transcriptional analysis of diaphyseal bone after one week, i.e. just before the first fractures appeared. Microarray gene expression analysis revealed that 68 transcripts were differentially expressed in hypervitaminotic cortical bone and 118 transcripts were found when the bone marrow was also included. 98% of the differentially expressed genes in the bone marrow sample were up-regulated. In contrast, hypervitaminotic cortical bone without marrow showed reduced expression of 37% of differentially expressed genes. Gene Ontology (GO) analysis revealed that only samples containing bone marrow were associated to a GO term, which principally represented extracellular matrix (ECM). This is consistent with the histological findings of increased endosteal bone formation. Four of the genes in this ECM cluster and four other genes, including Cyp26b1 which is known to be up-regulated by vitamin A, were selected and verified by real-time PCR. In addition, immunohistochemical staining of bone sections confirmed that the bone-specific molecule, osteoadherin (Omd) was up-regulated. Further analysis of the major gene expression changes revealed distinct differences between cortical bone and bone marrow, e.g. there appeared to be augmented Wnt signaling in the bone marrow but reduced Wnt signaling in cortical bone. Moreover, induced expression of hypoxia-associated genes was only found in samples containing bone marrow. Together, these results corroborate our previous observations of compartment-specific effects of vitamin A, with reduced periosteal but increased endosteal bone formation, and suggest important roles for Wnt signaling and hypoxia in the processes leading to spontaneous fractures.
Publication Title
Microarray profiling of diaphyseal bone of rats suffering from hypervitaminosis A.
Sample Metadata Fields
Sex, Age, Specimen part, Disease
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
We performed microarray analysis to investigate the gene expression profile changes induced by Hmg20b knock down in I/11 cells.
Publication Title
The DNA binding factor Hmg20b is a repressor of erythroid differentiation.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The specific contribution of the two TNF-receptors Tnfr1 and Tnfr2 to TNF-induced inflammation in the glomerulus is unknown. In mice, TNF exposure induces glomerular expression of inflammatory mediators like adhesion molecules and chemokines in vivo, and glomerular accumulation of leukocytes.
Publication Title
Distinct contributions of TNF receptor 1 and 2 to TNF-induced glomerular inflammation in mice.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 251 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
593 FFPE colorectal cancer samples were used to generate three prediction models: Recurrence prediction, 5FU efficacy prediction, and FOLFOX efficacy prediction
Publication Title
Building personalized treatment plans for early-stage colorectal cancer patients.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Expression profiling of cultured HL-1 cardiomyocytes subjected to hypoxia for 8 hours.
Publication Title
The VLDL receptor promotes lipotoxicity and increases mortality in mice following an acute myocardial infarction.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 57 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances.
Publication Title
Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study.
Sample Metadata Fields
Sex, Specimen part, Subject, Time
View Samples- Rattus norvegicus
- 6 Downloadable Samples
- Affymetrix Rat Genome 230 2.0 Array (rat2302)
Description
Maternal obesity during the pre-implantation period leads to a pro-inflammatory milieu in the ovaries. We conducted a global transcriptomic profiling in ovaries from TEN fed rats during the pre-implantation period. Microarray analysis revealed that obesity lead to increased expression of genes related to inflammation, decreased glucose transporters, and dysregulation of ovarian function-related genes in the ovaries. Our results suggest maternal obesity led to an up-regulation of inflammatory genes and Egr-1 protien expression in peri-implantation ovarian tissue, and a concurrent down-regulation of glucose transporters mRNA and AKT and PI3K protein levels.
Publication Title
Maternal obesity is associated with ovarian inflammation and upregulation of early growth response factor 1.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 3 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
ES cells differentiated in the presence of the Wnt inhibitor DKK1 fail to express the transcription factor Snail and undergo EMT or mesoderm differentiation. We generated an ES cell line, A2.snail, that induced Snail expression upon addition of doxycycline addition.
Publication Title
Snail promotes the cell-autonomous generation of Flk1(+) endothelial cells through the repression of the microRNA-200 family.
Sample Metadata Fields
Specimen part, Cell line
View Samples