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GSE17716
Saccharomyces cerevisiae
16 Downloadable Samples
Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Effect of FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains 1278b and S288c.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 12 Downloadable Samples
- Affymetrix Yeast Genome 2.0 Array (yeast2)
Description
Effect of either FLO8 or MSS11 deletion and -overexpression on yeast transcript profiles compared to wild type in laboratory yeast strains 1278b and S288c - also the effect of FLO11 (MUC1) overexpression in the 1278b genetic background
Publication Title
Many Saccharomyces cerevisiae Cell Wall Protein Encoding Genes Are Coregulated by Mss11, but Cellular Adhesion Phenotypes Appear Only Flo Protein Dependent.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 9 Downloadable Samples
Ion Torrent Proton
Description
Overexpression lines of MYB63 and MYB63/LAC17 were generated to test hypotheses of monolignol export. Transcriptomic analysis was performed to characterize the dwarf, monolignol-glucoside containing MYB63-OX lines, as well as the MYB63/LAC17-OX lines.
Publication Title
No associated publication
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 131 Downloadable Samples
- Affymetrix Human Genome U219 Array (hgu219)
Description
To evaluate the prognostic relevance of molecular subtypes and key transcription factors in pancreatic ductal adenocarcinoma (PDAC), we performed gene expression analysis of whole-tumor tissue obtained from 118 surgically resected PDAC and 13 control samples.
Publication Title
Prognostic relevance of molecular subtypes and master regulators in pancreatic ductal adenocarcinoma.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 116 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Lymph node involvement is the most important prognostic factor in breast cancer, but little is known about the underlying molecular changes. First, to identify a molecular signature associated with nodal metastasis, gene expression analysis was performed on a homogeneous group of 96 primary breast tumors, balanced for lymph node involvement. Each tumor was diagnosed as a poorly differentiated, estrogen positive, her2-neu negative invasive ductal cancer. (Affymetrix Human U133 Plus 2.0 microarray chips). A model, including 241 genes was built and validated on an internal and external dataset performed with Affymetrix technology. All samples used for validation had the same characteristics as the initial tumors. The area under the ROC curve (AUC) for the internal dataset was 0.646 and 0.651 for the external datasets. Thus, the molecular profile of a breast tumor reveals information about lymph node involvement, even in a homogeneous group of tumors. However, an AUC of 0.65 indicates only a weak correlation. Our model includes multiple kinases, apoptosis related and zinc ion binding genes. Pathway analysis using the Molecular Signatures Database revealed relevant gene sets (BAF57, Van 't Veer). Next, miRNA profiling was performed on 82/96 tumors using Human MiRNA microarray chips (Illumina). Eight miRNAs were significantly differentially expressed according to lymph node status at a significance level of 0.05, without correcting for multiple testing. The analysis of the inverse correlation between a miRNA and its computationally predicted targets point to general deregulation of the miRNA machinery potentially responsible for lymph node invasion. In conclusion, our results provide evidence that lymph node involvement in breast cancer is not a random process.
Publication Title
Prediction of lymph node involvement in breast cancer from primary tumor tissue using gene expression profiling and miRNAs.
Sample Metadata Fields
Disease, Disease stage
View Samples- Rattus norvegicus
- 50 Downloadable Samples
- Affymetrix Rat Gene 1.0 ST Array (ragene10st)
Description
Fetal asphyctic (FA) preconditioning is effective in attenuating brain damage incurred by a subsequent perinatal asphyctic insult. Unraveling mechanisms of this endogenous neuroprotection, activated by FA preconditioning, is an important step towards new clinical strategies for asphyctic neonates. Genomic reprogramming is thought to be, at least in part, responsible for the protective effect of preconditioning. Therefore, we investigated whole genome differential expression in the preconditioned rat brain.
Publication Title
Fetal asphyctic preconditioning alters the transcriptional response to perinatal asphyxia.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Pancreatic ductal adenocarcinoma (PDAC) is a heterogeneous cancer in which differences in survival rates might be related to a variety in gene expression profiles. Although the molecular biology of PDAC begins to be revealed, genes or pathways that specifically drive tumour progression or metastasis are not well understood. Therefore, we performed microarray analyses on whole-tumour samples of 2 human PDAC subpopulations with similar clinicopathological features, but extremely distinct survival rates after potentially curative surgery, i.e., good outcome (OS and DFS>50months) versus bad outcome (OS<19months and DFS<7months). Additionally, liver- and peritoneal metastases were analysed and compared to primary cancer tissue. The integrin and ephrin receptor families were upregulated in all PDAC samples, irrespective of outcome, supporting an important role of the interaction between pancreatic cancer cells and the surrounding desmoplastic reaction in tumorigenesis and cancer progression. Moreover, some components, such as ITGB1 and EPHA2, were upregulated in PDAC samples with a poor outcome, Additionally, overexpression of the non-canonical Wnt/-catenin pathway and EMT genes in PDAC samples with bad versus good outcome suggests their contribution to the invasiveness of pancreatic cancer, with -catenin being also highly upregulated in metastatic tissue. Thus, we conclude that components of the integrin and ephrin pathways and EMT-related genes might serve as molecular markers in pancreatic cancer as their expression seems to be related with prognosis.
Publication Title
Molecular markers associated with outcome and metastasis in human pancreatic cancer.
Sample Metadata Fields
Sex, Age, Specimen part, Disease stage
View Samples- Arabidopsis thaliana
- 30 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
Growth daylength, ambient CO2 level, and intracellular hydrogen peroxide (H2O2) availability all impact plant function by modulating signalling pathways, but interactions between them remain unclear. Using a whole-genome transcriptomics approach, we exploited the conditional photorespiratory nature of the catalase-deficient cat2 mutant to identify gene expression patterns responding to these three factors. Arabidopsis Col-0 and cat2 grown for 5 weeks in high CO2 in short days (SD) were transferred to air in SD or long days (LD), and microarray analysis was performed. Of more than 500 genes differentially expressed in Col-0 between high CO2 and transfer to air in SD, the response of about one-third was attenuated by transfer to air in LD. H2O2-responsive genes in cat2 were highly dependent on daylength. The majority of H2O2-induced genes were more strongly up-regulated after transfer to air in SD than to LD, while a smaller number showed an opposing pattern. Responses of other H2O2-dependent genes indicate redox-modulation of the daylength control of fundamental cell processes. The overall analysis provides evidence that (1) CO2 level modulates stress-associated gene expression; (2) both CO2 and H2O2 interact with daylength and photoreceptor signalling pathways; and (3) cellular signalling pathways may be primed to respond to increased H2O2 in a daylength-determined manner.
Publication Title
Day length is a key regulator of transcriptomic responses to both CO(2) and H(2)O(2) in Arabidopsis.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 23 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Most cancer deaths are caused by metastases, which are the end-results of circulating tumor cells (CTC) that detach from the cancer primary and succeed to survive in distant organs. The aim of the present study was to develop a gene signature of CTC and to assess its prognostic relevance after surgery for pancreatic ductaladenocarcinoma (PDAC).
Publication Title
Pancreatic cancer circulating tumour cells express a cell motility gene signature that predicts survival after surgery.
Sample Metadata Fields
Sex, Age, Disease stage
View Samples- Homo sapiens
- 24 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Cidofovir is an acyclic nucleoside phosphonate with strong antiviral activity against a broad spectrum of DNA viruses. Although it has previously been shown that cidofovir exerts an antiproliferative effect on HPV positive cells by the induction of apoptosis, the exact mechanism of action remains to be unraveled. In order to study the activity of cidofovir against HPV, gene expression profiling was performed in cidofovir-treated and cidofovir-resistant HeLa, HaCaT, and PHK cells by means of microarrays (HG-U133 Plus 2, Affymetrix).
Publication Title
Cidofovir selectivity is based on the different response of normal and cancer cells to DNA damage.
Sample Metadata Fields
Specimen part, Disease, Cell line
View Samples