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GSE61399
Homo sapiens
29 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Th1/Th17-type T-cell responses are upregulated in Behcets disease (BD). However, signaling pathways associated with this aberrant immune response are not clarified. Whole-genome microarray profiling was performed with human U133 (Plus 2.0) chips using mRNA of isolated CD14+ monocytes and CD4+ T-cells from PBMC in patients with BD (n=9) and healthy controls (HC) (n=9). Flow cytometric analysis of unstimulated (US) and stimulated (PHA) STAT3 and pSTAT3 expressions of PBMCs were also analysed (BD and HC, both n=26). JAK1 was observed to be upregulated in both CD14+ monocytes (1.94 fold) and CD4+ T-lymphocytes (1.40 fold) of BD patients. Using canonical pathway enrichment analysis, JAK/STAT signaling was identified as activated in both CD14+ monocytes (p=2.95E-06) and in CD4+ lymphocytes (p=8.13E-04) in BD. Interferon (p=1.02E-07) and IL-6 (p=8.91E-03) signaling pathways were also prominent in CD14+ monocytes. Basal unstimulated total STAT3 expression was significantly higher in BD (1.2 vs 3.45, p<0.05). The JAK1/STAT3 signaling pathway is activated in BD, possibly through the activation of Th1/Th17-type cytokines such as IL-2, IFN, IL-6, IL-17 and IL-23.
Publication Title
Activation of the JAK/STAT pathway in Behcet's disease.
Sample Metadata Fields
Specimen part, Disease
View Samples- Drosophila melanogaster
- 13 Downloadable Samples
- Affymetrix Drosophila Genome Array (drosgenome1)
Description
Whole testes were dissected from adult males. RNA from five or six biological replicates were generated and the expression profiles were determined using Affymetrix Drosophila Genechip 1 arrays. Comparisons between the bgcn- and Os+bgcn- groups allowed for the identification of stem cell genes.
Publication Title
Novel regulators revealed by profiling Drosophila testis stem cells within their niche.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 90 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Background: The ability to predict the spatial frequency of relapses in multiple sclerosis (MS) would enable treating physicians to decide when to intervene more aggressively and to plan clinical trials more accurately. Methods: In the current study our objective was to determine if subsets of genes can predict the time to the next acute relapse in patients with MS. Data-mining and predictive modeling tools were utilized to analyze a gene-expression dataset of 94 non-treated patients; 62 patients with definite MS and 32 patients with clinically isolated syndrome (CIS). The dataset included the expression levels of 10,594 genes and annotated sequences corresponding to 22,215 gene-transcripts that appear in the microarray. Results: We designed a two stage predictor. The first stage predictor was based on the expression level of 10 genes, and predicted the time to next relapse with a resolution of 500 days (error rate 0.079, p< 0.001). If the predicted relapse was to occur in less than 500 days, a second stage predictor based on an additional different set of 9 genes was used, resulting in a prediction with a resolution of 50 days as to the timing of the next relapse. The error rate of this predictor was 2.3 fold lower than the error rate of random predictions (error rate = 0.35, p<0.001). The predictors were further evaluated and found effective not only in untreated patients but were also valid for MS patients which subsequently received immunomodulatory treatments after the initial testing (the error rate of the first level predictor was < 0.18 with p<0.001 for all the patient groups). Conclusions: We conclude that gene expression analysis is a valuable tool that can be used in clinical practice to predict future MS disease activity. Similar approach can be also useful for dealing with other autoimmune diseases that characterized by relapsing-remitting nature
Publication Title
Prediction of acute multiple sclerosis relapses by transcription levels of peripheral blood cells.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage
View Samples- Mus musculus
- 46 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
18 different population of cells in different developmental stages in hematopoietic hierarchy have been purifyed by FACS analyses from wild type C57Bl6 mice and subjected to Micrroarray Affymetrix mouse 430.2 platform
Publication Title
CCAAT/enhancer binding protein alpha (C/EBP(alpha))-induced transdifferentiation of pre-B cells into macrophages involves no overt retrodifferentiation.
Sample Metadata Fields
No sample metadata fields
View Samples- Triticum aestivum
- 35 Downloadable Samples
- Affymetrix Wheat Genome Array (wheat)
Description
Gene-specific two-way ANOVA analysis for identification of candidate genes for processing quality, seed development, and interaction (quality x development)
Publication Title
Genome-wide transcriptome study in wheat identified candidate genes related to processing quality, majority of them showing interaction (quality x development) and having temporal and spatial distributions.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 34 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Myocardial infarction (MI) often results in left ventricular (LV) remodeling followed by heart failure (HF). It is of great clinical importance to understand the molecular mechanisms that trigger transition from compensated LV injury to HF and to identify relevant diagnostic biomarkers. In this study, we performed transcriptional profiling of LVs in rats with a wide range of experimentally induced infarct sizes and of peripheral blood mononuclear cells (PBMCs) in animals that developed HF.
Publication Title
Transcriptional profiling of left ventricle and peripheral blood mononuclear cells in a rat model of postinfarction heart failure.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Earlier work has shown that pre-B cells can be converted into macrophages by the transcription factor C/EBP? at very high frequencies. Using this system we have now performed a systematic analysis of the question whether during transdifferentiation the cells transiently reactivate progenitor restricted genes or even retrodifferentiate. A transcriptome analysis of transdifferentiating cells showed that most genes are continuously up or downregulated, acquiring a macrophage phenotype within 5 days. In addition, we observed the transient reactivation of a subset of immature myeloid markers, as well as low levels of the progenitor markers Kit and Flt3 and a few lineage inappropriate genes. However, we were unable to observe the re-expression of cell surface marker combinations that characterize hematopoietic stem and progenitor cells (HSPCs), including c-Kit and Flt3. This was the case even when C/EBPalpha was activated in pre-B cells under culture conditions that favor HSPC growth or when the transcription factor was activated in a time limited fashion. Together, our findings are consistent with the notion that the conversion from pre-B cells to macrophages is mostly direct and does not involve overt retrodifferentiation.
Publication Title
CCAAT/enhancer binding protein alpha (C/EBP(alpha))-induced transdifferentiation of pre-B cells into macrophages involves no overt retrodifferentiation.
Sample Metadata Fields
Specimen part, Time
View Samples- Triticum aestivum
- 12 Downloadable Samples
- Affymetrix Wheat Genome Array (wheat)
Description
Transcriptional comparison of developing grains between two wheat genotypes with contrasting levels of minerals in grain, using Affymetrix GeneChip Wheat Genome Array.
Publication Title
Comparative transcriptional profiling of two wheat genotypes, with contrasting levels of minerals in grains, shows expression differences during grain filling.
Sample Metadata Fields
Specimen part
View Samples- Gallus gallus
- 35 Downloadable Samples
NextSeq 500
Description
The goal of this study was to provide a global assessment of the host''s response to M. gallisepticum over a 7-day time course Overall design: Differential gene expression was assessed between Rlow infected and Hayflick''s only ''control chickens'' on days 1, 3, 5, and 7 (5 infected per day, 4 controls on day 1, 5 controls per days 3, 5, and 7), 39 total chickens assessed.
Publication Title
Transcriptional Profiling of the Chicken Tracheal Response to Virulent Mycoplasma gallisepticum Strain R<sub>low</sub>.
Sample Metadata Fields
Subject, Time
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Gene expression profile based classification of colonic diseases are suitable for identification of diagnostic mRNA expression patterns which can establish the basis of a new molecular biological diagnostic method
Publication Title
Diagnostic mRNA expression patterns of inflamed, benign, and malignant colorectal biopsy specimen and their correlation with peripheral blood results.
Sample Metadata Fields
No sample metadata fields
View Samples