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GSE46699
Homo sapiens
124 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Both cigarette smoking and obesity have been implicated in increased risk of clear cell renal cell carcinoma (ccRCC); however, there are limited data regarding the molecular mechanisms that underlie these associations. We used a multi-stage design to identify and validate specific molecular targets that are associated with smoking or obesity-related ccRCC.
Publication Title
ANKS1B is a smoking-related molecular alteration in clear cell renal cell carcinoma.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Histone Methyltransferase G9a Is Required for Cardiomyocyte Homeostasis and Hypertrophy.
Sample Metadata Fields
Treatment
View Samples- Mus musculus
- 6 Downloadable Samples
- Illumina MouseWG-6 v2.0 expression beadchip
Description
The role of the histone mehyltrasferase G9a (also known as Ehmt2) in cardiac hypertrophy has not been studied extensively. To address how G9a promotes cardiac hypertrophy, we assessed the gene expression signature defined by G9a in cardiomyocytes (CM) of mice subject to transverse aortic constriction (TAC) for 1 wk, a surgical procedure that causes cardiac hypertrophy following the induction of pressure overload. To this end, we compared the expression profiles of CMs isolated from mice treated with the G9a inhibitor BIX-01294 and control groups (untreated and DMSO-treated mice at baseline and after TAC). The expression profiles were defined by Illumina arrays .
Publication Title
Histone Methyltransferase G9a Is Required for Cardiomyocyte Homeostasis and Hypertrophy.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 4 Downloadable Samples
NextSeq 500
Description
The role of the histone mehyltrasferase G9a (also known as Ehmt2) in heart has not been extensively studied. To identify the genes regulated by G9a in the normal heart, we first generated a conditional, cardiac-specific KO mouse for this gene using the Cre-Lox approach, crossing G9a flox/flox mice with aMHC-MerCreMer mice (Cre mice were used as controls). Then, we sequenced total RNA (Total-RNA-seq) from cardiomyocyte-enriched populations isolated from G9a-KO and Cre mice, and compared the two expression profiles. Overall design: Profiling of the transcriptome of cardiomyocyte-enriched populations isolated from G9a-KO and Cre mice. Two biological replicates were profiled for each cell type.
Publication Title
Histone Methyltransferase G9a Is Required for Cardiomyocyte Homeostasis and Hypertrophy.
Sample Metadata Fields
Cell line, Subject
View Samples- Danio rerio
- 24 Downloadable Samples
- IlluminaHiSeq2500, NextSeq500
Description
Using zebrafish tet2-/-;tet3-/- mutants, we identify functions for Tet enzymes and 5-hydroxymethylcytosine (5hmC) in regulating gene expression and cell type-specific differentiation during retinal development. Overall design: RNAseq from tet2-/-;tet3-/- mutant and sibling embryonic eye tissues dissected at 72hpf and 36hpf.
Publication Title
Tet-mediated DNA hydroxymethylation regulates retinal neurogenesis by modulating cell-extrinsic signaling pathways.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 25 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
It is unknown if gene expression profiles from primary RCC tumors differ from patient-matched metastatic tumors. Thus, we sought to identify differentially expressed genes between patient-matched primary and metastatic RCC tumors in order to understand the molecular mechanisms underlying the development of RCC metastases.
Publication Title
Differential gene expression profiling of matched primary renal cell carcinoma and metastases reveals upregulation of extracellular matrix genes.
Sample Metadata Fields
Specimen part, Subject
View Samples- Mus musculus
- 8 Downloadable Samples
- Illumina HiSeq 2000
Description
The Polymerase Associated Factor (PAFc) complex is an epigenetic regulating complex that has been shown to to be important for Acute Myeloid Leukemias harboring an MLL chromosomal translocations, such as MLL-AF9 leukemias. This study describes the transcriptomic profiling of AML cells following genetic deletion of the PAFc subunit Cdc73. Overall design: Cdc73floxed cells were transformed to an AML using MLL-AF9 oncogene transduction. The cells were also transduced with a 4OHT inducible CreER. The cells were then treated for 24 or 48 hours with 4OHT to induce genetic excision of Cdc73 and polyA mRNA was isolated for sequencing of the transcriptome. Biological duplicates are labelled _1 and _2.
Publication Title
The PAF complex regulation of Prmt5 facilitates the progression and maintenance of MLL fusion leukemia.
Sample Metadata Fields
Cell line, Treatment, Subject, Time
View Samples- Mus musculus
- 26 Downloadable Samples
- Affymetrix Mouse Expression 430A Array (moe430a)
Description
In our investigations of the molecular pathways of prostate tumorigenesis in Nkx3.1; Pten mutant mice using gene expression profiling, we now find that the AP-1 transcription factors, c-Jun and c-Fos, are significantly up-regulated during cancer progression. Forced expression of c-Fos and c-Jun in prostate cancer cells results in increased tumorigenicity, activation of Erk MAP kinase, and enhanced survival in the absence of androgens, which are hallmarks of disease progression. In humans, Jun and Fos proteins are significantly up-regulated during prostate cancer progression and significantly correlated with activation of Erk MAP kinase. Most notably, expression of Jun is associated with disease recurrence independent of other currently used prognostic indicators.
Publication Title
Activator protein-1 transcription factors are associated with progression and recurrence of prostate cancer.
Sample Metadata Fields
Age
View Samples- Homo sapiens
- 13 Downloadable Samples
- Affymetrix Human Genome U133A Array (hgu133a)
Description
Gene transfer into HSCs by gammaretroviral vectors (RV) is an effective treatment for inherited blood disorders, although potentially limited by the risk of insertional mutagenesis. We evaluated the genomic impact of RV integration in T-lymphocytes from adenosine deaminase (ADA)-Severe combined immunodeficiency (SCID) patients 10 to 30 months after infusion of autologous, genetically-corrected CD34+ cells. Expression profiling on ex vivo T-cell bulk population revealed no difference with respect to healthy controls. To assess the effect of vector integration on gene expression at the single cell level, primary T-cell clones were isolated from two patients. T-cell clones harboured either one or two vector copies per cell and displayed partial to full correction of ADA expression, purine metabolism and TCR-driven functions. Analysis of retroviral integration sites (RIS) indicated a high diversity in T-cell origin, consistent with the polyclonal TCR-Vbeta repertoire. Quantitative transcript analysis of 120 genes within a 200kb-window around RIS showed modest (2.8- to 5.2-fold) disregulation of 5.8% genes in 18.6% of the T-cell clones compared to controls. Nonetheless, affected clones maintained a stable phenotype and normal functions in vitro. These results confirm that RV-mediated gene transfer for ADA-SCID is safe, and provide crucial information for the development of future gene therapy protocols.
Publication Title
Integration of retroviral vectors induces minor changes in the transcriptional activity of T cells from ADA-SCID patients treated with gene therapy.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 27 Downloadable Samples
- IlluminaHiSeq2000
Description
Advantages of RNA-Seq over array based platforms are quantitative gene expression and discovery of expressed single nucleotide variants (eSNVs) and fusion transcripts from a single platform, but the sensitivity for each of these characteristics is unknown. We measured gene expression in a set of manually degraded RNAs, nine pairs of matched fresh-frozen, and FFPE RNA isolated from breast tumor with the hybridization based, NanoString nCounter, (226 gene panel) and with whole transcriptome RNA-Seq using RiboZeroGold ScriptSeq V2 library preparation kits. We performed correlation analyses of gene expression between samples and across platforms. We then specifically assessed whole transcriptome expression of lincRNA and discovery of eSNVs and fusion transcripts in the FFPE RNA-Seq data. For gene expression in the manually degraded samples, we observed Pearson correlation of >0.94 and >0.80 with NanoString and ScriptSeq protocols respectively. Gene expression data for matched fresh-frozen and FFPE samples yielded mean Pearson correlations of 0.874 and 0.783 for NanoString (226 genes) and ScriptSeq whole transcriptome protocols respectively. Specifically for lincRNAs, we observed superb Pearson correlation (0.988) between matched fresh-frozen and FFPE pairs. FFPE samples across NanoString and RNA-Seq platforms gave a mean Pearson correlation of 0.838. In FFPE libraries, we detected 53.4% of high confidence SNVs and 24% of high confidence fusion transcripts. Sensitivity of fusion transcript detection was not overcome by an increase in depth of sequencing up to 3-fold (increase from ~56 to ~159 million reads). Both NanoString and ScriptSeq RNA-Seq technologies yield reliable gene expression data for degraded and FFPE material. The high degree of correlation between NanoString and RNA-Seq platforms suggests discovery based whole transciptome studies from FFPE material will produce reliable expression data. The RiboZeroGold ScriptSeq protocol performed particularly well for lincRNA expression from FFPE libraries but detection of eSNV and fusion transcripts was less sensitive. Overall design: We performed RNASeq on RNA from nine matched pairs of fresh-frozen and FFPE tissues from breast cancer patients. The goal was to test the RiboZeroGold ScriptSeq complete low input library preparation kit for degraded RNA samples.
Publication Title
Gene expression, single nucleotide variant and fusion transcript discovery in archival material from breast tumors.
Sample Metadata Fields
No sample metadata fields
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