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GSE7868
Homo sapiens
9 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Androgen receptor (AR) is a ligand-dependent transcription factor that plays a key role in the onset and progression of prostate cancer. Surprisingly little is known of AR binding sites and collaborating transcription factors in the human genome. Here we have identified the DNA sequence motifs that are significantly enriched within the authentic 90 AR target regions found on chromosomes 21 and 22 in human prostate cancer cells by combining chromatin immunoprecipitation for AR with chromosome-scale tiled oligonucleotide microarrays. By integrating the DNA sequence motif data with the gene expression profiles from human prostate cancers we identified the transcription factors that recognize each of these motifs. These factors form complexes with AR, bind to specific AR target regions and govern androgen-dependent transcription. Together with AR these collaborating transcription factors form a regulatory network that directs prostate cancer growth and survival and identify potential new opportunities for therapeutic intervention.
Publication Title
A hierarchical network of transcription factors governs androgen receptor-dependent prostate cancer growth.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 9 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
AZD1208 is a novel PIM kinase inhibitor that we have shown inhibits tumorigenesis in tissue recombination models, Myc-CaP allograft models, and human prostate cancer xenografts. We sought to determine the intracellular pathways that are responsible for the anti-tumor effect. To this end we used the tissue recombination protocol to implant MYCCaP cells into castrated mice. MYCCaP cells are an androgen-dependent mouse cell line that overexpresses the oncogene MYC. The mice used for implantation were castrated, so any tumors that result from the grafting procedure are androgen-independent. The grafted mice were divided into a control population receiving vehicle, and a test population receiving AZD1208. The tumors were harvested and in vitro cell lines were made. The new cell lines have been perpetuated in androgen-depleted media.
Publication Title
PIM kinase inhibitor AZD1208 for treatment of MYC-driven prostate cancer.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The estrogen receptor is the master transcriptional regulator of breast cancer phenotype and the archetype of a molecular therapeutic target. We mapped all estrogen receptor and RNA polymerase II binding sites on a genome-wide scale, identifying the authentic cis binding sites and target genes, in breast cancer cells. Combining this unique resource with gene expression data demonstrates distinct temporal mechanisms of estrogen-mediated gene regulation,particularly in the case of estrogen-suppressed genes. Furthermore, this resource has allowed the identification of cis-regulatory sites in previously unexplored regions of the genome and the cooperating transcription factors underlying estrogen signaling in breast cancer.
Publication Title
Genome-wide analysis of estrogen receptor binding sites.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 28 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Medulloblastoma is the most common form of malignant paediatric brain tumour and is the leading cause of childhood cancer related mortality. The four molecular subgroups of medulloblastoma that have been identified WNT, SHH, Group 3 and Group 4 - have molecular and topographical characteristics suggestive of different cells of origin. Definitive identification of the cell(s) of origin of the medulloblastoma subgroups, particularly the poorer prognosis Group 3 and Group 4 medulloblastoma, is critical to understand the pathogenesis of the disease, and ultimately for the development of more effective treatment options.
Publication Title
Gene expression analyses of the spatio-temporal relationships of human medulloblastoma subgroups during early human neurogenesis.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
We compared the gene expression profile from a group of children with T-cell acute lymphoblastic leukamia who remained in continuous complete remission (CCR) (n = 7) with that from a group who relapsed (n = 5), using Affymetrix HG-U133A arrays. Using the decision-tree based supervised learning algorithm Random Forest (RF), genes were ranked with respect to their ability to discriminate between patients who remained in CCR and those who relapsed. From the 300 top-ranked probe sets 9 genes were selected for further investigation and validation in an independent cohort of 25 T-ALL patients using quantitative real time polymerase chain reaction.
Publication Title
Identification of novel molecular prognostic markers for paediatric T-cell acute lymphoblastic leukaemia.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Subject
View Samples- Homo sapiens
- 23 Downloadable Samples
IlluminaHiSeq2500
Description
We evaluated changes in mRNA stability and transcription using 4sU metabolic pulse labeling across a four hour time course following activation of Jurkat T cells with PMA and PHA Overall design: Measurement of total mRNA (T) and 4sU labeled mRNA (IP) in three biological replicates at five time points: prior to activation (U) and the first four hours after activation (1-4)
Publication Title
Functional coordination and HuR-mediated regulation of mRNA stability during T cell activation.
Sample Metadata Fields
No sample metadata fields
View Samples- Bos taurus
- 10 Downloadable Samples
- Affymetrix Bovine Genome Array (bovine)
Description
To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture.
Publication Title
Characterization of beef transcripts correlated with tenderness and moisture.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.
Sample Metadata Fields
Sex, Specimen part, Disease, Cell line
View Samples- Homo sapiens
- 4 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
To formally address the biological activity of ETS1 in vitro, we measured the transcriptional effect of ETS1 knock down by transducing HPB-ALL leukemia cell lines with a plKO - shETS1 and plko shLUC control. Samples were hybridized to Affymetrix Human Genome U133 Plus 2.0 arrays. Log2 abundance estimates were obtained using gcrma package of Bioconductor, which is a version of the Robust Multi-Array Average (RMA) algorithm. We provide a supplementary file with gene annotation, which performs a two-sample T-test and computes an average fold-change.
Publication Title
Combinatorial ETS1-dependent control of oncogenic NOTCH1 enhancers in T-cell leukemia.
Sample Metadata Fields
Sex, Cell line
View Samples- Escherichia coli
- 24 Downloadable Samples
- Affymetrix E. coli Genome 2.0 Array (ecoli2)
Description
To study the physiological roles of polyamines, we have carried out a global microarray analysis on the effect of adding polyamines to an Escherichia coli mutant that lacks polyamines because of deletions in the genes in the polyamine biosynthetic pathway. Previously, we have reported that the earliest response to the polyamine addition is the increased expression of the genes for the glutamate dependent acid resistance system (GDAR). We also presented preliminary evidence for the involvement of rpoS and gadE regulators. In the current study further confirmation of the regulatory roles of rpoS and gadE is shown by a comparison of genome-wide expression profiling data from a series of microarrays comparing the genes induced by polyamine addition to polyamine-free rpoS+/gadE+ cells with genes induced by polyamine addition to polyamine-free rpoS and gadE cells. The results indicate that most of the genes in the E. coli GDAR system that are induced by polyamines require rpoS and gadE. Our data also show that, gadE is the main regulator of GDAR and other acid-fitness-island genes. Both polyamines and rpoS are necessary for the expression of gadE genes from the three promoters of gadE (P1, P2 and P3). The most important effect of polyamine addition is the very rapid post-transcriptional increase in the level of RpoS sigma factor. Our current hypothesis is that polyamines increase the level of RpoS protein, and that this increased RpoS level is responsible for the stimulation of gadE expression, which in turn induces the GDAR system in E. coli.
Publication Title
Polyamines Stimulate the Level of the σ38 Subunit (RpoS) of Escherichia coli RNA Polymerase, Resulting in the Induction of the Glutamate Decarboxylase-dependent Acid Response System via the gadE Regulon.
Sample Metadata Fields
Treatment
View Samples