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GSE3486
Mus musculus
36 Downloadable Samples
Affymetrix Mouse Expression 430A Array (moe430a)
Description
In order to test the hypothesis that fibroblasts from different tissues are phenotypically distinct from one another, we have subjected tendon, skin and corneal fibroblasts of fetal mouse to mechanical stimulation by fluid flow and analyzed the transcriptional responses of the cells using Affymetrix MOE430 chip set containing two arrays MOE430A and MOE430B.
Publication Title
Phenotypic responses to mechanical stress in fibroblasts from tendon, cornea and skin.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Human genome-wide Affymetrix GeneChip arrays were used to compare the levels of gene expression in the peripheral blood mononuclear cells (PMBCs) of male patients with post-viral chronic fatigue (n=8) and male healthy control subjects (n=7). Patients and healthy subjects differed significantly in the level of expression of 366 genes. Analysis of the differentially expressed genes indicated functional implications in immune modulation, oxidative stress and apoptosis. Prototype biomarkers were identified on the basis of differential levels of gene expression and possible biological significance. Differential expression of key genes identified in this study offer an insight into the possible mechanism of chronic fatigue following infection. The representative biomarkers identified in this research appear promising as potential biomarkers for diagnosis and treatment.
Publication Title
A gene signature for post-infectious chronic fatigue syndrome.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
The Runx genes are important in development and cancer, where they can act either as oncogenes or tumour supressors. We compared the effects of ectopic Runx expression in established fibroblasts, where all three genes produce an indistinguishable phenotype entailing epithelioid morphology and increased cell survival under stress conditions. Gene array analysis revealed a strongly overlapping transcriptional signature, with no examples of opposing regulation of the same target gene. A common set of 50 highly regulated genes was identified after further filtering on regulation by inducible RUNX1-ER. This set revealed a strong bias toward genes with annotated roles in cancer and development, and a preponderance of targets encoding extracellular or surface proteins reflecting the marked effects of Runx on cell adhesion.
Publication Title
Gene array analysis reveals a common Runx transcriptional programme controlling cell adhesion and survival.
Sample Metadata Fields
No sample metadata fields
View Samples- Drosophila melanogaster
- 10 Downloadable Samples
- Affymetrix Drosophila Genome Array (drosgenome1)
Description
The experiment was designed to identify genes abundant or enriched in adult Drosophila melanogaster Malpighian (renal) tubule as compared to the whole fly.
Publication Title
Function-informed transcriptome analysis of Drosophila renal tubule.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Drosophila melanogaster
- 10 Downloadable Samples
- Affymetrix Drosophila Genome Array (drosgenome1)
Description
This is an affymetrix array experiment comparing the transcriptome of the Malpighian tubule (or renal tubule) of 7-day adult Oregon R strain Drosophila melanogaster with matched whole fly samples.
Publication Title
Function-informed transcriptome analysis of Drosophila renal tubule.
Sample Metadata Fields
No sample metadata fields
View Samples- Rattus norvegicus
- 18 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.
Sample Metadata Fields
Cell line, Treatment
View Samples- Rattus norvegicus
- 16 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
RAS mutations are highly relevant for progression and therapy response of human tumours, but the genetic network that ultimately executes the oncogenic effects is poorly understood. Here we used a reverse-engineering approach in an ovarian cancer model to reconstruct KRAS oncogene-dependent cytoplasmic and transcriptional networks from perturbation experiments based on gene silencing and pathway inhibitor treatments. We measured mRNA and protein levels in manipulated cells by microarray, RT-PCR and Western Blot analysis, respectively. The reconstructed model revealed complex interactions among the transcriptional and cytoplasmic components, some of which were confirmed by double pertubation experiments. Interestingly, the transcription factors decomposed into two hierarchically arranged groups. To validate the model predictions we analysed growth parameters and transcriptional deregulation in the KRAS-transformed epithelial cells. As predicted by the model, we found two functional groups among the selected transcription factors. The experiments thus confirmed the predicted hierarchical transcription factor regulation and showed that the hierarchy manifests itself in downstream gene expression patterns and phenotype.
Publication Title
Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.
Sample Metadata Fields
Cell line, Treatment
View Samples- Rattus norvegicus
- 2 Downloadable Samples
Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
RAS mutations are highly relevant for progression and therapy response of human tumours, but the genetic network that ultimately executes the oncogenic effects is poorly understood. Here we used a reverse-engineering approach in an ovarian cancer model to reconstruct KRAS oncogene-dependent cytoplasmic and transcriptional networks from perturbation experiments based on gene silencing and pathway inhibitor treatments. We measured mRNA and protein levels in manipulated cells by microarray, RT-PCR and Western Blot analysis, respectively. The reconstructed model revealed complex interactions among the transcriptional and cytoplasmic components, some of which were confirmed by double pertubation experiments. Interestingly, the transcription factors decomposed into two hierarchically arranged groups. To validate the model predictions we analysed growth parameters and transcriptional deregulation in the KRAS-transformed epithelial cells. As predicted by the model, we found two functional groups among the selected transcription factors. The experiments thus confirmed the predicted hierarchical transcription factor regulation and showed that the hierarchy manifests itself in downstream gene expression patterns and phenotype.
Publication Title
Reverse engineering a hierarchical regulatory network downstream of oncogenic KRAS.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Preeclampsia complicates more than 3% of all pregnancies in the United States and Europe. High-risk populations include women with diabetes, dyslipidemia, thrombotic disorders, hyperhomocysteinemia, hypertension, renal diseases, previous preeclampsia, twin pregnancies, and low socioeconomic status. In the latter case, the incidence may increase to 20% to 25%. Preeclampsia is a major cause of maternal and fetal morbidity and mortality. Preeclampsia is defined by systolic blood pressure of more than 140 mm Hg and diastolic blood pressure of more than 90 mm Hg after 20 weeks gestation in a previously normotensive patient, and new-onset proteinuria. Abnormal placentation associated with shallow trophoblast invasion (fetal cells from outer cell layer of the blastocyst) into endometrium (decidua) and improper spiral artery remodeling in the decidua are initial pathological steps.
Publication Title
Dysregulation of the circulating and tissue-based renin-angiotensin system in preeclampsia.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
The presence of different types of immune cells in adipose tissue has been demonstrated in numerous studies. Whereas cells of the immune system in white adipose tissue contribute to the low-grade chronic inflammation under obese conditions, their function in brown adipose tissue (BAT) remains largely elusive. Here we report a role of regulatory T (Treg) cells in BAT physiology.Ablation of Treg cells resulted in massive invasion of macrophages into BAT concordant with rearrangement of BAT morphology. Treg ablated animals displayed reduced energy expenditure. Our results for the first time demonstrate a functional role of Treg cells in the regulation of energy homeostasis.
Publication Title
Brown adipose tissue harbors a distinct sub-population of regulatory T cells.
Sample Metadata Fields
Treatment
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