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GSE2196
Mus musculus
17 Downloadable Samples
Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)
Description
This experiment was performed to identify immediate early genes that were induced by PDGF specifically through Src family kinases (SFKs), MEK1/2, or PI 3-K.
Publication Title
Platelet-derived growth factor stimulates Src-dependent mRNA stabilization of specific early genes in fibroblasts.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 1 Downloadable Sample
Illumina HiSeq 2000
Description
Isoform quantification results for B6 mouse using Bowtie and RSEM. Overall design: ~400 islets were isolated and pooled from two B6 mice. Whole islet RNA was isolated using Rneasy purification columns (Qiagen), quantified (Nanodrop) and integrity verified (Agilent) prior to sequencing. ~94M total paired-end RNA-Seq reads were sequenced.
Publication Title
The Transcription Factor Nfatc2 Regulates β-Cell Proliferation and Genes Associated with Type 2 Diabetes in Mouse and Human Islets.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Mus musculus
- 424 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
In several models of obesity-induced diabetes, increased lipid accumulation in the liver has been associated with decreased diabetes susceptibility. For instance, deficiency in leptin receptor (db/db) leads to hyperphagia and obesity in both C57BL/6 and C57BLKS mice but, only on the C57BLKS background do the mice develop beta-cell loss leading to severe diabetes while C57BL/6 mice are relatively resistant. Liver triglyceride levels in the resistant C57BL/6 mice are 3 to 4 fold higher than in C57BLKS.
Publication Title
Systems genetics of susceptibility to obesity-induced diabetes in mice.
Sample Metadata Fields
Sex, Age
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To describe normal cardiac and brain development during late first and early second trimester in human fetuses using microarray and pathways analysis and the creation of a corresponding normal database. RNA from recovered tissues was used for transcriptome analysis with Affymetrix 1.0 ST microarray chip. From the amassed data we investigated differences in cardiac and brain development within the 10-18 GA period dividing the sample by GA in three groups: 10-12 (H1), 13-15(H2) and 16-18(H3) weeks. A fold change of 2 or above adjusted for a false discovery rate of 5% was used as initial cut-off to determine differential gene expression for individual genes. Test for enrichment to identify functional groups were carried out using the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG). Array analysis correctly identified the cardiac specific genes, and transcripts reported to be differentially expressed were confirmed by qRT-PCR.
Publication Title
Metabolic gene profile in early human fetal heart development.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 30 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Compelling evidence suggests that mitochondrial dysfunction contributes to the pathogenesis of heart failure, including defects in the substrate oxidation, and the electron transport chain (ETC) and oxidative phosphorylation (OXPHOS). However, whether such changes occur early in the development of heart failure, and are potentially involved in the pathologic events that lead to cardiac dysfunction is unknown. To address this question, we conducted transcriptomic/metabolomics profiling in hearts of mice with two progressive stages of pressure overload-induced cardiac hypetrophy: i) cardiac hypertrophy with preserved ventricular function achieved via transverse aortic constriction for 4 weeks (TAC) and ii) decompensated cardiac hypertrophy or heart failure (HF) caused by combining 4 wk TAC with a small apical myocardial infarction. Transcriptomic analyses revealed, as shown previously, downregulated expression of genes involved in mitochondrial fatty acid oxidation in both TAC and HF hearts compared to sham-operated control hearts. Surprisingly, however, there were very few changes in expression of genes involved in other mitochondrial energy transduction pathways, ETC, or OXPHOS. Metabolomic analyses demonstrated significant alterations in pathway metabolite levels in HF (but not in TAC), including elevations in acylcarnitines, a subset of amino acids, and the lactate/pyruvate ratio. In contrast, the majority of organic acids were lower than controls. This metabolite profile suggests bottlenecks in the carbon substrate input to the TCA cycle. This transcriptomic/metabolomic profile was markedly different from that of mice PGC-1a/b deficiency in which a global downregulation of genes involved in mitochondrial ETC and OXPHOS was noted. In addition, the transcriptomic/metabolomic signatures of HF differed markedly from that of the exercise-trained mouse heart. We conclude that in contrast to current dogma, alterations in mitochondrial metabolism that occur early in the development of heart failure reflect largely post-transcriptional mechanisms resulting in impedance to substrate flux into the TCA cycle, reflected by alterations in the metabolome.
Publication Title
Energy metabolic reprogramming in the hypertrophied and early stage failing heart: a multisystems approach.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Analysis of estrogen receptor (ER)-positive MCF7 cell total RNA expression and polysome-assiciated RNA expression following treatment with estradiol (E2) and vehicle (etoh).
Publication Title
Estrogen coordinates translation and transcription, revealing a role for NRSF in human breast cancer cells.
Sample Metadata Fields
Cell line
View Samples- Saccharomyces cerevisiae
- 83 Downloadable Samples
- Illumina HiSeq 2500, Illumina HiSeq 2000, Illumina Genome Analyzer IIx
Description
Purpose: The ability to rationally manipulate the transcriptional states of cells would be of great use in medicine and bioengineering. We have developed a novel algorithm, NetSurgeon, which utilizes genome-wide gene regulatory networks to identify interventions that force a cell toward a desired expression state. Results: We used NetSurgeon to select transcription factor deletions aimed at improving ethanol production in S. cerevisiae cultures that are catabolizing xylose. We reasoned that interventions that move the transcriptional states of cells utilizing xylose toward the fermentative state typical of cells that are producing ethanol rapidly (while utilizing glucose) might improve xylose fermentation. Some of the interventions selected by NetSurgeon successfully promoted a fermentative transcriptional state in the absence of glucose, resulting in strains with a 2.7-fold increase in xylose import rates, a 4-fold improvement in xylose integration into central carbon metabolism, or a 1.3-fold increase in ethanol production rate. Conclusions: We conclude by presenting an integrated model of transcriptional regulation and metabolic flux that will enable future metabolic engineering efforts aimed at improving xylose fermentation to prioritize functional regulators of central carbon metabolism. Overall design: Mutant and wildtype S. cerevisiae cells were put into 48 hour aerobic batch fermentations of synthetic complete medium supplmented with 2% glucose and 5% xylose and culture samples were taken at 4 hours and 24 hours for transcriptional profiling performed by RNA-Seq analysis. In addition, wildtype S. cerevisiae cells were grown in various single carbon sources for 12 hours and culture samples were taken for transcriptional profiling performed by RNA-Seq analysis.
Publication Title
Model-based transcriptome engineering promotes a fermentative transcriptional state in yeast.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 3 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
IL-10 production by Th17 cells is critical for limiting autoimmunity and inflammatory responses. Gene array analysis on Stat6 and T-bet double deficient Th17 cells identified the Th2 transcription factor c-Maf to be synergistically up-regulated by IL-6 plus TGFbeta, and associated with Th17 IL-10 production. Both c-Maf and IL-10 induction during Th17 polarization depended on Stat3, but not Stat6 or Stat1, and mechanistically differed from IL-10 regulation by Th2 or IL-27 signals. TGFbeta was also synergistic with IL-27 to induce c-Maf, and induced Stat1 independent IL-10 expression in contrast to IL-27 alone. Retroviral transduction of c-Maf was able to induce IL-10 expression in Stat6 deficient CD4 and CD8 T cells, and c-Maf directly transactivated IL-10 gene expression through binding to a MARE motif in the IL-10 promoter. Together, these data reveal a novel role for c-Maf in regulating T effector development, and suggest that TGFbeta may antagonize Th17 immunity by IL-10 production through c-Maf induction.
Publication Title
c-Maf regulates IL-10 expression during Th17 polarization.
Sample Metadata Fields
Sex, Specimen part
View Samples- Mus musculus
- 12 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
Few studies have investigated heterogeneity of selection response in replicate lines subjected to equivalent selection. We developed 4 replicate lines of mice based on high levels of voluntary wheel running (high runner or HR lines) while also maintaining 4 non-selected control lines. This led to the unexpected discovery of the HR mini-muscle (HRmini) phenotype, recognized by a 50% reduction in hindlimb muscle mass, which became fixed in 1 of the 4 HR selected lines.
Publication Title
Gene expression profiling of gastrocnemius of "minimuscle" mice.
Sample Metadata Fields
Sex, Specimen part
View Samples- Homo sapiens
- 49 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Background There are conflicting reports on the impact of soy on breast carcinogenesis. This study examines the effects of soy supplementation on breast cancer-related genes and pathways. Methods Women (n = 140) with early-stage breast cancer were randomized to soy protein supplementation (n = 70) or placebo (n = 70) for 7 to 30 days, from diagnosis until surgery. Adherence was determined by plasma isoflavones: genistein and daidzein. Gene expression changes were evaluated by NanoString inin pre- and post-treatment tumor tissue. Genome-wide expression analysis was performed on post-treatment tissue. Proliferation (Ki67) and apoptosis (Cas3) were assessed by immunohistochemistry. Results Plasma isoflavones rose in the soy group (two-sided Wilcoxon rank-sum test, P < .001) and did not change in the placebo group. In paired analysis of pre- and post-treatment samples, 21 genes (out of 202) showed altered expression (two-sided Students t-test, P < .05). Several genes including FANCC and UGT2A1 revealed different magnitude and direction of expression changes between the two groups (two-sided Students t-test, P < .05). A high-genistein signature consisting of 126 differentially expressed genes was identified from microarray analysis of tumors. This signature was characterized by overexpression (>2 fold) of cell cycle transcripts, including those which promote cell proliferation, such as FGFR2, E2F5, BUB1, CCNB2, MYBL2, CDK1, and CDC20 (P < .01). Soy intake did not result in statistically significant changes in Ki67 or Cas3. Conclusions Gene expression associated with soy intake and high plasma genistein define a signature characterized by overexpression of FGFR2 and genes that drive cell cycle and proliferation pathways. These findings raise the concerns that in a subset of women soy could adversely affect gene expression in breast cancer.
Publication Title
The effects of soy supplementation on gene expression in breast cancer: a randomized placebo-controlled study.
Sample Metadata Fields
Treatment
View Samples