Filters
Technology
Platform
GSE19338
Mus musculus
24 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Expression profiles obtained from the villus and crypt layers of murine large intestine can elucidate the process of differentiation undergone by epithelial cells as they migrate from the undifferentiated bottom of the crypt to the villus tip before being shed into the intestinal lumen. This series includes profiles from wild type mice, as well as mice harboring mutations in genes (APC and p21) which play key roles in the differentiation process.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 47 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
K562 cell line mock treated or for 24 hours with one micromolar imatinib.
Publication Title
No associated publication
Sample Metadata Fields
No sample metadata fields
View Samples- Bos taurus
- 27 Downloadable Samples
- Affymetrix Bovine Genome Array (bovine)
Description
Female sex steroid hormones, estradiol-17 (E2) and progesterone (P4) regulate reproductive function and gene expression in a broad range of tissues. Given the central role of the liver in regulating homeostasis including steroid hormone metabolism, we sought to understand how E2-17 and P4 interact to affect global gene expression in liver. Eight ovariectomized cows were randomly assigned to 4 treatment groups applied in a replicated Latin Square design: 1) No hormone supplementation, 2) E2-17 treatment (ear implant), 3) P4 treatment (intravaginal inserts), and 4) E2-17 combined with P4. After 14 d of treatment, liver biopsies were collected, allowing 28 d intervals between periods. Changes in gene expression in the liver biopsies were monitored using Affymetrix bovine-specific arrays. Treatment with E2-17 altered expression of 479 genes, P4 472 genes, and combined treatment significantly altered expression of 468 genes. In total, 578 genes exhibited altered expression including a remarkable number (346 genes) that responded similarly to E2-17, P4, or combined treatment. Additional evidence for similar gene expression effects of E2-17 and/or P4 were: principal component analysis placed almost every treatment array at a substantial distance from control arrays; Venn diagrams indicated overall treatment effects for most regulated genes; clustering analysis indicated the two major clusters had all treatments upregulating (cluster 1; 172 genes) or downregulating (cluster 2: 173 genes) expression. Thus, unexpectedly, common biological pathways are regulated by E2-17 and/or P4 in liver. Future studies are needed to elucidate mechanism(s) responsible for overlapping actions of E2-17 and P4 on the liver transcriptome. KEYWORDS: estradiol, progesterone, global gene expression, liver, cows.
Publication Title
No associated publication
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 3 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The miR-96 and RARγ signaling axis governs androgen signaling and prostate cancer progression.
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 18 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Gene body methylation can alter gene expression and is a therapeutic target in cancer.
Sample Metadata Fields
Sex, Cell line, Treatment, Time
View Samples- Homo sapiens
- 26 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
A small number of tumor-derived cell lines have formed the mainstay of cancer therapeutic development, yielding drugs with impact typically measured as months to disease progression. To develop more effective breast cancer therapeutics, and more readily understand their potential clinical impact, we constructed a functional metabolic portrait of 46 independently-derived breast tumorigenic cell lines, contrasted with purified normal breast epithelial subsets, freshly isolated pleural effusion breast tumor samples and culture-adapted, non-tumorigenic mammary epithelial cell derivatives. We report our analysis of glutamine uptake, dependence, and identification of a significant subset of triple negative samples that are glutamine auxotrophs. This NCBI GEO submission comprises a small datasest generated to compare the expression profiles of the above nontumorigenic, purified normal and purified pleural effusion samples with 10 established breast cancer-derived cell lines. This dataset was subsequently merged with a previously published expression dataset derived from 45 independent breast cancer derived cell lines (Neve, et al 2006), and analyses contrasting various subsets of the merged dataset were published.
Publication Title
Glutamine sensitivity analysis identifies the xCT antiporter as a common triple-negative breast tumor therapeutic target.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 18 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Demethylation treatment reduce gene body methylation as well as gene expression
Publication Title
Gene body methylation can alter gene expression and is a therapeutic target in cancer.
Sample Metadata Fields
Cell line, Treatment, Time
View Samples- Homo sapiens
- 2 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Expression levels of retinoic acid receptor gamma (NR1B3/RARG, encodes RARG), are commonly reduced in prostate cancer (PCa). Therefore we sought to establish the cellular and gene regulatory consequences of reduced RARG expression, and determine RARG regulatory mechanisms. RARG shRNA approaches in non-malignant (RWPE-1 and HPr1-AR) and malignant (LNCaP) prostate models revealed that reducing RARG levels, rather than adding exogenous retinoid ligand, had the greatest impact on prostate cell viability and gene expression. ChIP-Seq defined the RARG cistrome which was significantly enriched at active enhancers associated with AR binding sites. Reflecting a significant genomic role for RARG to regulate androgen signaling, RARG knockdown in HPr1-AR cells significantly regulated the magnitude of the AR transcriptome. RARG down-regulation was explained by increased miR-96 in PCa cell and mouse models, and TCGA PCa cohorts. Biochemical approaches confirmed that miR-96 directly regulated RARG expression and function. Capture of the miR-96 targetome by biotin-miR96 identified that RARG and a number of RARG interacting co-factors including TACC1 were all targeted by miR-96, and expression of these genes were prominently altered, positively and negatively, in the TCGA-PRAD cohort. Differential gene expression analyses between tumors in the TCGA-PRAD cohort with lower quartile expression levels of RARG and TACC1 and upper quartile miR-96, compared to the reverse, identified a gene network including several RARG target genes (e.g. SOX15) that significantly associated with worse disease free survival (hazard ratio 2.23, 95% CI 1.58 to 2.88, p=0.015). In summary, miR-96 targets a RARG network to govern AR signaling, PCa progression and disease outcome.
Publication Title
The miR-96 and RARγ signaling axis governs androgen signaling and prostate cancer progression.
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 1 Downloadable Sample
- Illumina HumanHT-12 V4.0 expression beadchip
Description
Expression levels of retinoic acid receptor gamma (NR1B3/RARG, encodes RARG), are commonly reduced in prostate cancer (PCa). Therefore we sought to establish the cellular and gene regulatory consequences of reduced RARG expression, and determine RARG regulatory mechanisms. RARG shRNA approaches in non-malignant (RWPE-1 and HPr1-AR) and malignant (LNCaP) prostate models revealed that reducing RARG levels, rather than adding exogenous retinoid ligand, had the greatest impact on prostate cell viability and gene expression. ChIP-Seq defined the RARG cistrome which was significantly enriched at active enhancers associated with AR binding sites. Reflecting a significant genomic role for RARG to regulate androgen signaling, RARG knockdown in HPr1-AR cells significantly regulated the magnitude of the AR transcriptome. RARG down-regulation was explained by increased miR-96 in PCa cell and mouse models, and TCGA PCa cohorts. Biochemical approaches confirmed that miR-96 directly regulated RARG expression and function. Capture of the miR-96 targetome by biotin-miR96 identified that RARG and a number of RARG interacting co-factors including TACC1 were all targeted by miR-96, and expression of these genes were prominently altered, positively and negatively, in the TCGA-PRAD cohort. Differential gene expression analyses between tumors in the TCGA-PRAD cohort with lower quartile expression levels of RARG and TACC1 and upper quartile miR-96, compared to the reverse, identified a gene network including several RARG target genes (e.g. SOX15) that significantly associated with worse disease free survival (hazard ratio 2.23, 95% CI 1.58 to 2.88, p=0.015). In summary, miR-96 targets a RARG network to govern AR signaling, PCa progression and disease outcome.
Publication Title
The miR-96 and RARγ signaling axis governs androgen signaling and prostate cancer progression.
Sample Metadata Fields
Sex, Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 103 Downloadable Samples
- Illumina HumanHT-12 V4.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
CLL intraclonal fractions exhibit established and recently acquired patterns of DNA methylation.
Sample Metadata Fields
Sex, Specimen part, Subject
View Samples