Filters
Technology
Platform
GSE66577
Mus musculus
5 Downloadable Samples
Illumina Genome Analyzer, Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Cardiac transcriptome profiling of diabetic Akita mice using microarray and next generation sequencing.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 58 Downloadable Samples
Affymetrix Human Genome U95 Version 2 Array (hgu95av2)
Description
Background: The present study is aimed at identifying potential candidate genes as prognostic markers in human oral tongue squamous cell carcinoma (SCC) by large scale gene expression profiling. Methods: The gene expression profile of patients (n=37) with oral tongue SCC were analyzed using Affymetrix HG_U95Av2 high-density oligonucleotide arrays. Hierarchical clustering analyses failed to show significant segregation of patients. In patients (n=20) with available tumor and matched normal mucosa, 77 genes were found to be differentially expressed (P< 0.05) in the tongue tumor samples compared to their matched normal controls. Among the 45 over-expressed genes, MMP-1 encoding interstitial collagenase showed the highest level of increase (average: 34.18 folds). The 20 patients were then grouped into stage (early vs. late) and nodal disease (node positive vs. node negative) subgroups and genes differentially expressed in tumor vs. normal and between the subgroups were identified. Three genes, GLUT3, HSAL2, and PACE4, were selected for their potential biological significance in a larger cohort of 49 patients by quantitative real-time RT-PCR. Results: Using the criterion of two-fold or greater as overexpression, 30.6%, 24.5% and 26.5% of patients showed high levels of GLUT3, HSAL2 and PACE4, respectively. Univariate analyses demonstrated that GLUT3 over-expression correlated with depth of invasion (P<0.0001), tumor size (P=0.024), pathological stage (P=0.009) and recurrence (P=0.038). HSAL2 was positively associated with depth of invasion (P=0.015) and advanced T stage (P=0.0467). In survival studies, only GLUT3 showed a prognostic value with disease-specific (P=0.049), relapse-free (P-0.0042) and overall survival (P=0.003). PACE4 mRNA expression failed to show correlation with any of the relevant parameters. Conclusions: The characterization of genes identified to be significant predictors of prognosis by oligonucleotide microarray and further validation by real-time RT-PCR offers a powerful strategy for identification of novel targets for prognostication and treatment of oral tongue carcinoma.
Publication Title
Oral tongue cancer gene expression profiling: Identification of novel potential prognosticators by oligonucleotide microarray analysis.
Sample Metadata Fields
Specimen part
View Samples- Caenorhabditis elegans
- 6 Downloadable Samples
- Affymetrix C. elegans Genome Array (celegans)
Description
We previously identified a number of genes which were differentially expressed during mitochondrial stress in an ATFS-1-dependent manner using an atfs-1 loss-of-function mutant allele . To complement the findings from our previous microarray, we compared the transcript profiles from wild-type and atfs-1(et18) gain-of-function worms (which have constitutively active ATFS-1) in the absence of mitochondrial stress.
Publication Title
Maintenance and propagation of a deleterious mitochondrial genome by the mitochondrial unfolded protein response.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 28 Downloadable Samples
- Illumina HiSeq 2500
Description
Methamphetamine (Meth) seeking progressively increases after withdrawal (incubation of Meth craving), but the transcriptional mechanisms that contribute to this incubation are unknown. Here we used RNA-sequencing to analyze transcriptional profiles associated with incubation of Meth craving in central amygdala (CeA) and orbitofrontal cortex (OFC), two brain areas previously implicated in relapse to drug seeking. We trained rats to self-administer either saline (control condition) or Meth (10 days; 9 h/day, 0.1 mg/kg/infusion). Next, we collected brain tissue from CeA and OFC on withdrawal day 2 (when Meth seeking is low and non-incubated) and on day 35 (when Meth seeking is high and incubated), for subsequent RNA-sequencing. In CeA, we identified 10-fold more differentially expressed genes (DEGs) on withdrawal day 35 than day 2. These genes were enriched for several biological processes, including protein ubiquitination and histone methylation. In OFC, we identified many fewer expression changes than in CeA. Interestingly, there were more DEGs on withdrawal day 2 than on day 35. Several genes in OFC showed opposing expression changes on withdrawal day 2 (increase) when compared to withdrawal day 35 (decrease), which was further validated by qPCR. Our analyses highlight the CeA as a key region of transcriptional regulation associated with incubation of Meth seeking. In contrast, transcriptional regulation in OFC may contributes to Meth seeking during early withdrawal. Overall, these findings provide a unique resource of gene expression data for future studies examining transcriptional mechanisms in CeA that mediate Meth seeking after prolonged withdrawal. Overall design: Exp. 1 Genome-wide transcriptional profiling of CeA during incubation of Meth craving We performed intravenous surgeries on two groups of rats (total n=26) and trained them to self-administer either saline (n=12) or Meth (n=14) as described above in 2 independent runs. We performed live decapitation on withdrawal days 2 and 35, and collected CeA tissue for mRNA preparation. We used the extracted mRNA for library preparation and RNA-sequencing. We pooled tissue from two rats as one biological replicate. The number of biological replicates in each group was: Day 2: Saline=3, Meth=4; Day 35: Saline=3, Meth=3. Exp. 2 Genome-wide transcriptional profiling of OFC during incubation of Meth craving As above, two groups of rats (total n=32) were trained to self-administer saline (n=16) or Meth (n=16) in 2 independent runs. We performed live decapitation on withdrawal days 2 and 35, and collected OFC tissue for mRNA preparation. We used the extracted mRNA either for library preparation and RNA-sequencing or for cDNA synthesis and qPCR. We pooled tissue from two rats as one biological replicate. The number of biological replicates in each group was: Day 2: Saline=4, Meth=4; Day 35: Saline=4, Meth=4.
Publication Title
Genome-wide transcriptional profiling of central amygdala and orbitofrontal cortex during incubation of methamphetamine craving.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Needle biopsies were obtained from the vastus lateralis muscle of 6 healthy, sedentary, 672.5 year-old males before and after 3 months of training.
Publication Title
Effects of aerobic training on gene expression in skeletal muscle of elderly men.
Sample Metadata Fields
No sample metadata fields
View Samples- Caenorhabditis elegans
- 12 Downloadable Samples
- Affymetrix C. elegans Genome Array (celegans)
Description
We generated animals carrying a genomically integrated mir-124 promoter::gfp transgene and identified mir-124 promoter::GFP labelled cells as a subset of the C. elegans sensory neurons. We used fluorescence activated cell sorting (FACS) to isolate four distinct cell populations: mir-124 expressing (GFP+) and non-expressing (GFP-) cells from both wild-type and mutant animals. RNA samples obtained from the four cell populations were used for Affymetrix gene expression analysis to study the effect of mir-124 deletion on the transcriptome of mir-124 expressing (GFP+) and non-expressing (GFP-) cells.
Publication Title
The microRNA miR-124 controls gene expression in the sensory nervous system of Caenorhabditis elegans.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 4 Downloadable Samples
- Illumina HiSeq 2500
Description
Here we show that biotin-labelled miR-34a can be loaded to AGO2, and AGO2 immunoprecipitation can pulldown biotinylated miR-34a (Bio-miR pulldown). RNA-sequencing (RNA-seq) of the Bio-miR pulldown RNAs efficiently identified miR-34a mRNA targets, which could be verified with luciferase assays. In contrast to the approach of Bio-miR pulldown, RNA-seq of miR-34a overexpression samples had limited value in identifying direct targets of miR-34a. It seems that pulldown of 30 -Biotin-tagged miRNA can identify bona fide microRNA targets at least for miR34a. Overall design: biotin-labelled miR-34a pulldown and RNA sequencing of miR-34a overexpression samples
Publication Title
Comparing two approaches of miR-34a target identification, biotinylated-miRNA pulldown vs miRNA overexpression.
Sample Metadata Fields
Cell line, Subject
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. Previous studies have shown that miRNAs inhibit the translation and facilitate the degradation of their targeted mRNAs making them attractive candidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand and accurately predict the consequences of fluctuations in levels of miRNAs within the context of complex tumor cells. To evaluate the predictive power of current models, levels of miRNAs and their targeted messenger RNAs (mRNAs) were measured in laser captured micro-dissected (LCM) ovarian cancer epithelial cells (CEPI) and compared with levels present in ovarian surface epithelial cells (OSE). We found that the predicted inverse correlation between changes in levels of miRNAs and levels of their mRNA targets held for only ~6-11% of predicted target mRNAs. Our results underscore the complexities of miRNA-mediated regulation in vivo and caution against the widespread clinical application of miRNAs and miRNA inhibitors until the basis of these complexities is more fully understood.
Publication Title
Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 24 Downloadable Samples
Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133A 2.0 Array (hgu133a2), Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Response of A549 cells treated with Aspergillus fumigatus wild type germinating conidia (WT_GC) or PrtT protease deficient mutant conidia (PrtT-GC) or inert acrylic 2-4 micron beads (Beads) for 8h
Publication Title
PrtT-regulated proteins secreted by Aspergillus fumigatus activate MAPK signaling in exposed A549 lung cells leading to necrotic cell death.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples