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GSE85650
Mus musculus
24 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Genomic binding of PAX8-PPARG fusion protein regulates cancer-related pathways and alters the immune landscape of thyroid cancer.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
PAX8-PPARG fusion protein (PPFP) results from a t(2;3)(q13;p25) chromosomal translocation, is found in 30% of follicular thyroid carcinomas, and demonstrates oncogenic capacity in transgenic mice. A PPARG ligand, pioglitazone, is highly therapeutic in mice with PPFP thyroid carcinoma. We used our previously characterized transgenic mouse model of PPFP thyroid carcinoma to identify PPFP binding sites in vivo using ChIP-seq, and to identify genes and pathways regulated by PPFP with and without pioglitazone treatment via integration with RNA-seq and Affymetrix microarray data. This submission contains the Affymetrix microarray data. PPFP and pioglitazone regulated genes involved in lipid and fatty acid metabolism, ribosome function, immune processes, cell death and other cancer-related processes. The RNA-seq data yielded similar findings.
Publication Title
Genomic binding of PAX8-PPARG fusion protein regulates cancer-related pathways and alters the immune landscape of thyroid cancer.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 15 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Quiescent and dividing hemopoietic stem cells (HSC) display marked differences in their ability to move between the peripheral circulation and the bone marrow. Specifically, long-term engraftment potential predominantly resides in the quiescent HSC subfraction, and G-CSF mobilization results in the preferential accumulation of quiescent HSC in the periphery. In contrast, stem cells from chronic myeloid leukemia (CML) patients display a constitutive presence in the circulation. To understand the molecular basis for this, we have used microarray technology to analyze the transcriptional differences between dividing and quiescent, normal, and CML-derived CD34+ cells.
Publication Title
Transcriptional analysis of quiescent and proliferating CD34+ human hemopoietic cells from normal and chronic myeloid leukemia sources.
Sample Metadata Fields
Specimen part, Disease, Subject
View Samples- Homo sapiens
- 11 Downloadable Samples
Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF-β Pathway.
Sample Metadata Fields
Specimen part, Disease, Race
View Samples- Homo sapiens
- 11 Downloadable Samples
- Affymetrix Human Gene 2.0 ST Array (hugene20st), Illumina HumanMethylation450 BeadChip (HumanMethylation450_15017482)
Description
Placental Tissue Samples from 36 women (17 normotensive women, denoted with a P, and 19 preeclamptic women, denoted with a Q) were analyzed for differenital methylation
Publication Title
Epigenetics and Preeclampsia: Defining Functional Epimutations in the Preeclamptic Placenta Related to the TGF-β Pathway.
Sample Metadata Fields
Specimen part, Disease, Race
View Samples- Mus musculus
- 6 Downloadable Samples
Illumina HiSeq 2500
Description
RNA-seq was performed on eosinophils isolated from colons of naive C57/BL6 mice. Overall design: 2 samples of naive colonic eosinophils
Publication Title
Reuse of public, genome-wide, murine eosinophil expression data for hypotheses development.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
Microarray studies revealed that as a first hit, SV40 T/t-antigen causes deregulation of 462 genes in mammary gland cells (ME-cells) of WAP-SVT/t transgenic animals. The majority of deregulated genes are cell-proliferation specific and Rb-E2F dependent, causing ME-cell proliferation and gland hyperplasia but not breast cancer formation. In the breast tumor cells, a further 207 genes are differentially expressed, most of them belonging to the cell communication category. In tissue culture, breast tumor cells frequently switch off WAP-SVT/t transgene expression and regain the morphology and growth characteristics of normal-ME-cells, although the tumor-revertant cells are aneuploid and only 114 genes regain the expression level of normal-ME-cells. The profile of retransformants shows that only 38 deregulated genes appear to be tumor-relevant and that none of them is considered to be a typical breast cancer gene.
Publication Title
Gene expression profiling: cell cycle deregulation and aneuploidy do not cause breast cancer formation in WAP-SVT/t transgenic animals.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 32 Downloadable Samples
- Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)
Description
Alternative promoters (APs) occur in >30% protein-coding genes and contribute to proteome diversity. However, large-scale analyses of AP regulation are lacking, and little is known about their potential physiopathologic significance. To better understand the transcriptomic impact of estrogens, which play a major role in breast cancer, we analyzed gene and AP regulation by estradiol in MCF7 cells using pan-genomic exon arrays. We thereby identified novel estrogen-regulated genes, and determined the regulation of AP-encoded transcripts in 150 regulated genes. In <30% cases, APs were regulated in a similar manner by estradiol, while in >70% cases, they were regulated differentially. The patterns of AP regulation correlated with the patterns of estrogen receptor (ER) and CCCTC-binding factor (CTCF) binding sites at regulated gene loci. Interestingly, among genes with differentially regulated APs, we identified cases where estradiol regulated APs in an opposite manner, sometimes without affecting global gene expression levels. This promoter switch was mediated by the DDX5/DDX17 family of ER coregulators. Finally, genes with differentially regulated promoters were preferentially involved in specific processes (e.g., cell structure and motility, and cell cycle). We show in particular that isoforms encoded by the NET1 gene APs, which are inversely regulated by estradiol, play distinct roles in cell adhesion and cell cycle regulation, and that their expression is differentially associated with prognosis in ER+ breast cancer. Altogether, this study identifies the patterns of AP regulation in estrogen-regulated genes, demonstrates the contribution of AP-encoded isoforms to the estradiol-regulated transcriptome, as well as their physiopathologic significance in breast cancer.
Publication Title
Estrogen regulation and physiopathologic significance of alternative promoters in breast cancer.
Sample Metadata Fields
Disease, Disease stage, Cell line, Time
View Samples- Homo sapiens
- 12 Downloadable Samples
- Affymetrix Human Gene 2.1 ST Array (hugene21st)
Description
This study was designed to compare the global gene expression change induced by the circulating, prodomain bound forms of BMP9 and BMP10 (pro-BMP9 and pro-BMP10) in human pulmonary arterial endothelial cells (PAECs). This is different from many previous studies which used the growth factor domain of BMP9 and/or BMP10.
Publication Title
Molecular basis of ALK1-mediated signalling by BMP9/BMP10 and their prodomain-bound forms.
Sample Metadata Fields
Sex, Age
View Samples- Glycine max
- 11 Downloadable Samples
- Affymetrix Soybean Genome Array (soybean)
Description
This study was designed to identify candidate genes associated with iron efficiency in soybeans. Two genotypes, Clark (PI548553) and IsoClark (PI547430), were grown in both iron sufficient (100uM Fe(NO3)3) and iron deficient (50uM Fe(NO3)3) hydroponics conditions. The second trifoliate was harvested for RNA extraction for the microarray experiment. Candidate genes were identified by comparing gene expression profiles within genotypes between the two iron growth conditions.
Publication Title
Integrating microarray analysis and the soybean genome to understand the soybeans iron deficiency response.
Sample Metadata Fields
No sample metadata fields
View Samples