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GSE71627
Homo sapiens
1 Downloadable Sample
Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
A common promoter hypomethylation signature in invasive breast, liver and prostate cancer cell lines reveals novel targets involved in cancer invasiveness.
Sample Metadata Fields
Sex, Disease, Disease stage, Cell line
View Samples- Homo sapiens
- 1 Downloadable Sample
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Cancer invasion and metastasis is the most morbid aspect of cancer and is governed by different cellular mechanisms than those driving the deregulated growth of tumors. We addressed here the question of whether a common DNA methylation signature of invasion exists in cancer cells from different origins that differentiates invasive from noninvasive cells. We identified a common DNA methylation signature consisting of hyper- and hypomethylation and determined the overlap of differences in DNA methylation with differences in mRNA expression using expression array analyses. A pathway analysis reveals that the hypomethylation signature includes some of the major pathways that were previously implicated in cancer migration and invasion such as TGF beta and ERBB2 triggered pathways. The relevance of these hypomethylation events in human tumors was validated by identification of the signature in several publicly available databases of human tumor transcriptomes. We shortlisted novel invasion promoting candidates and tested the role of four genes from the list C11orf68, G0S2, SHISA2 and TMEM156 in invasiveness using siRNA depletion. Importantly these genes are upregulated in human cancer specimens as determined by immunostaining of human normal and cancer breast, liver and prostate tissue arrays. Since these genes are activated in cancer they constitute a group of targets for specific pharmacological inhibitors of cancer invasiveness.
Publication Title
A common promoter hypomethylation signature in invasive breast, liver and prostate cancer cell lines reveals novel targets involved in cancer invasiveness.
Sample Metadata Fields
Sex, Disease, Disease stage, Cell line
View Samples- Homo sapiens
- 14 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Despite their distinct biology, granulosa cell tumours (GCTs) are treated the same as other ovarian tumours. Intriguingly, a recurring somatic mutation in the transcription factor Forkhead Box L2 (FOXL2) 402C>G has been found in nearly all GCTs examined. This investigation aims to identify the pathogenicity of mutant FOXL2 by studying its altered transcriptional targets. The expression of mutant FOXL2 was reduced in the GCT cell line KGN, and wildtype and mutant FOXL2 were overexpressed in the GCT cell line COV434. Comparisons were made between the transcriptomes of control cells and cells altered by FOXL2 knockdown and overexpression, to detect potential transcriptional targets of mutant FOXL2. Comparisons were made between the transcriptomes of control cells and cells altered by FOXL2 knockdown and overexpression, to detect potential transcriptional targets of mutant FOXL2.
Publication Title
The transcriptional targets of mutant FOXL2 in granulosa cell tumours.
Sample Metadata Fields
Cell line
View Samples- Arabidopsis thaliana
- 70 Downloadable Samples
- Arabidopsis Gene 1.0 ST Array (aragene10st)
Description
Many organisms acquired circadian clock system to adapt daily and seasonal environmental changes. Mammals have the master clock in the brains suprachiasmatic nucleus (SCN) that synchronizes other circadian clocks in the peripheral tissues or organs. Plants also have circadian clock in their bodies, but the presence of the tissue-specific functions of circadian clock is remained elusive. The aim of this experiment is to compare tissue-specific gene expression profile using gene expression Microarray.
Publication Title
Tissue-specific clocks in Arabidopsis show asymmetric coupling.
Sample Metadata Fields
Specimen part, Time
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Temporal expression of microRNA cluster miR-17-92 regulates effector and memory CD8+ T-cell differentiation.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 7 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
During acute viral infections, effector CD8+ T cells differentiate into memory precursors or short-lived terminal effectors. miR-17-92a over-expression skews CD8+ effector cells to the terminal differentiation.
Publication Title
Temporal expression of microRNA cluster miR-17-92 regulates effector and memory CD8+ T-cell differentiation.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
The goal of this experiment is to define how lack of Ikaros impacts gene expression in mature CD4 T cells, both in the resting and activated state. To do this, a conditional knockout mouse model was generated using Cre/lox technology. The floxed allele was designed such that the last translated exon and 3' UTR of the Ikaros gene (Ikzf1) are deleted in mature T cells (mediated by distal Lck-driven Cre). CD4 T cells from mice with floxed alleles that did not express Cre (Cre-) and those that did express Cre (Cre+) were analyzed.
Publication Title
Lack of Ikaros Deregulates Inflammatory Gene Programs in T Cells.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 2 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
CoMet, a fully automated Computational Metabolomics method to predict changes in metabolite levels in cancer cells compared to normal references has been developed and applied to Jurkat T leukemia cells with the goal of testing the following hypothesis: up or down regulation in cancer cells of the expression of genes encoding for metabolic enzymes leads to changes in intracellular metabolite concentrations that contribute to disease progression. Nine metabolites predicted to be lowered in Jurkat cells with respect to normal lymphoblasts were examined: riboflavin, tryptamine, 3-sulfino-L-alanine, menaquinone, dehydroepiandrosterone, -hydroxystearic acid, hydroxyacetone, seleno-L-methionine and 5,6-dimethylbenzimidazole. All, alone or in combination, exhibited antiproliferative activity. Of eleven metabolites predicted to be increased or unchanged in Jurkat cells, only two (bilirubin and androsterone) exhibited significant antiproliferative activity. These results suggest that cancer cell metabolism may be regulated to reduce the intracellular concentration of certain antiproliferative metabolites, resulting in uninhibited cellular growth and have the implication that many other endogenous metabolites with important roles in carcinogenesis are awaiting discovery.
Publication Title
Identification of metabolites with anticancer properties by computational metabolomics.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Translation is a critical cellular process to synthesize proteins from their transcripts. However, translational regulation in antigen-specific T cells in vivo has not been well defined.
Publication Title
Translation is actively regulated during the differentiation of CD8<sup>+</sup> effector T cells.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Our previous study using nude rats revealed that the parental JDCaP xenografts predominantly expressed full-length androgen receptor (AR) whereas the relapsed JDCaP xenografts after castration acquired AR splice variants including AR-V7 and ARv567es. To understand molecular mechanisms underlying the acquisition of AR splice variants in the JDCaP model, we performed microarray analysis using RNA samples of the xenografts without castration (Parent), the relapsed xenografts overexpressing full-length AR and AR-V7 (ARhiV7hi), and the relapsed xenografts expressing ARv567es (ARv567es).
Publication Title
The RNA helicase DDX39B and its paralog DDX39A regulate androgen receptor splice variant AR-V7 generation.
Sample Metadata Fields
Specimen part
View Samples