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Mus musculus
6 Downloadable Samples
Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We identify sites of combinatorial control by performing high throughput ChIP experiments on p300, CREB-binding protein (CBP), the deacetylase SIRT1 and on multiple DNA-binding transcription factors in three different tissues. We present a quantitative model of transcriptional regulation that reveals the contribution of each binding site to tissue-specific gene expression in several mouse cell types. Binding to both evolutionarily conserved and non-conserved sequences is found to contribute significantly to transcriptional regulation. We demonstrate that binding location strongly predicts the expression level of nearby genes.
Publication Title
A quantitative model of transcriptional regulation reveals the influence of binding location on expression.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
ESCs and NPCs are two setm cell types which rely on expression of the transcription factor Sox2. We profilled gene expression in ESCs and NPCs to correlate genome-wide Sox2 ChIP-Seq data in these cells with expression of putative targets
Publication Title
SOX2 co-occupies distal enhancer elements with distinct POU factors in ESCs and NPCs to specify cell state.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 22 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
There are an estimated 21million diabetics in the United States and 150 million diabetics worldwide. The World Health Organization anticipates that these numbers will double in the next 20 years. Metabolic syndrome is a well recognized set of symptoms that increases a patients risk of developing diabetes. Insulin resistance is a factor in both metabolic syndrome and Type 2 diabetes. It is characterized by decreased insulin stimulated glucose uptake in peripheral tissues, decreased adiponectin levels, increased adipocyte FFA and cytokine production, and increased insulin and hepatic glucose output. Prevention or reversal of insulin resistance should serve as an important strategy in addressing the growing health concerns posed by the Diabetes epidemic. While increased adiposity is associated with insulin resistance, the role of the cell types present within adipose (adipocytes, pre-adipocytes, endothelial cells, macrophages, fibroblasts, leukocytes and smooth muscle cells) in insulin resistance is unclear. In an effort to begin dissection of this question, we examined the transcriptional response of the buoyant and non-buoyant fractions isolated from insulin sensitive or TNF induced insulin resistant hMSC derived adipocytes before and after treatment with insulin.
Publication Title
Genome-wide profiling of H3K56 acetylation and transcription factor binding sites in human adipocytes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Homo sapiens
- 8 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
EGFRvIII is the most common deletion mutant of EGFR in human cancer and its levels are highly correlated with poor prognosis in GBM. The deletion of exons 2-7 removes most of the extracellular ligand binding domain, so it is unable to bind EGF or other EGFR-binding ligands. Nevertheless, the mutant receptor is constitutively phosphorylated, and is capable of activating downstream signaling pathways at a low level.
Publication Title
Linking proteomic and transcriptional data through the interactome and epigenome reveals a map of oncogene-induced signaling.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 6 Downloadable Samples
Illumina Genome Analyzer IIx
Description
The earliest stages of Huntington’s disease are marked by changes in gene expression that are caused in an indirect and poorly understood manner by polyglutamine expansions in the huntingtin protein (HTT). To explore the hypothesis DNA methylation may be altered in cells expressing mutated HTT, we use reduced-representation bisulfite sequencing (RRBS) to map sites of DNA methylation in cells carrying either wild-type or mutant HTT. We find that a large fraction of the genes that change in expression in the presence of mutant huntingtin demonstrate significant changes in DNA methylation. Regions with low CpG content, which have previously been shown to undergo methylation changes in response to neuronal activity, are disproportionately affected. Based on the sequence of regions that change in methylation, we identify AP-1 and SOX2 as transcriptional regulators associated with DNA methylation changes, and we confirm these hypotheses using genome-wide chromatin immunoprecipitation (ChIP-Seq). Our findings suggest new mechanisms for the effects of polyglutamine-expanded HTT. These results also raise important questions about the potential effects of changes in DNA methylation on neurogenesis and at later stages, cognitive decline in Huntington’s patients. Overall design: mRNA-seq in STHdhQ7/Q7 and STHdhQ111/Q111 cells
Publication Title
Extensive changes in DNA methylation are associated with expression of mutant huntingtin.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
HSF1 drives a transcriptional program distinct from heat shock to support highly malignant human cancers.
Sample Metadata Fields
Specimen part, Cell line, Treatment
View Samples- Homo sapiens
- 20 Downloadable Samples
- Affymetrix HT Human Genome U133A Array (hthgu133a)
Description
Heat-Shock Factor 1 (HSF1), master regulator of the heat-shock response, facilitates malignant transformation, cancer cell survival and proliferation in model systems. The common assumption is that these effects are mediated through regulation of heat-shock protein (HSP) expression. However, the transcriptional network that HSF1 coordinates directly in malignancy and its relationship to the heat-shock response have never been defined. By comparing cells with high and low malignant potential alongside their non-transformed counterparts, we identify an HSF1-regulated transcriptional program specific to highly malignant cells and distinct from heat shock. Cancer-specific genes in this program support oncogenic processes: cell-cycle regulation, signaling, metabolism, adhesion and translation. HSP genes are integral to this program, however, even these genes are uniquely regulated in malignancy. This HSF1 cancer program is active in breast, colon and lung tumors isolated directly from human patients and is strongly associated with metastasis and death. Thus, HSF1 rewires the transcriptome in tumorigenesis, with prognostic and therapeutic implications.
Publication Title
HSF1 drives a transcriptional program distinct from heat shock to support highly malignant human cancers.
Sample Metadata Fields
Cell line, Treatment
View Samples- Mus musculus
- 15 Downloadable Samples
Description
Diet-induced obesity (DIO) predisposes individuals to insulin resistance, and adipose tissue has a major role in the disease. Insulin resistance can be induced in cultured adipocytes by a variety of treatments, but what aspects of the in vivo responses are captured by these models remains unknown. We use global RNA sequencing to investigate changes induced by TNF-a, hypoxia, dexamethasone, high insulin, and a combination of TNF-a and hypoxia, comparing the results to the changes in white adipose tissue from DIO mice. We found that different in vitro models capture distinct features of DIO adipose insulin resistance, and a combined treatment of TNF-a and hypoxia is most able to mimic the in vivo changes. Using genome-wide DNase I hypersensitivity followed by sequencing, we further examined the transcriptional regulation of TNF-a-induced insulin resistance, and we found that C/EPBß key regulator of adipose insulin resistance. Overall design: RNA-seq for 6 insulin resistance conditions and 2 control conditions, Dnase hypersensitivity-seq of 4 conditions and 1 control condition, ChIP-seq on p65 after TNFa treatment.
Publication Title
Analysis of in vitro insulin-resistance models and their physiological relevance to in vivo diet-induced adipose insulin resistance.
Sample Metadata Fields
No sample metadata fields
View Samples
SRP046257- Mus musculus
- 12 Downloadable Samples
- Illumina HiSeq 2000
Description
RNA-Seq performed on Dicer KO and WT murine mesenchymal stem cells from total RNA MicroRNAs (miRNAs) are small non-coding RNAs that regulates development and disease but induce only moderate repression of directs mRNA targets, suggesting that they coordinate with other modes ofs cellular regulation to effect large changes in gene expression. Ins this work we decouple direct effects of global miRNA loss froms transcriptional changes downstream in a pair of isogenic murines fibroblast cell lines with and without Dicer expression. Wes demonstrate how effects on direct miRNA targets are amplified bys transcription machinery through the construction of a network models that identifies specific transcription factors that cause changes ins mRNA expression upon Dicer loss. Through transcription factors over-expression, we delineate miRNA-mediated transcriptional programss and identify miRNA-mediated coherent and incoherent feed-forwards loops, suggesting a functional role of the interaction between miRNAss and transcription factors. In total, our results indicate thats miRNAs tightly control transcription factors within a denses interconnected network to modulate gene expression. Overall design: Total RNA was analyzed from adult mesenchymal stem cells (immortalized monoclonal lines of murine MSCs) with and without Dicer (WT: Dicer f/f, KO: Dicer -/-), as well as from WT cells transfected with an empty vector or a vector containing Tead4, Sox9 or Pbx3 transcripts.
Publication Title
Elucidating MicroRNA Regulatory Networks Using Transcriptional, Post-transcriptional, and Histone Modification Measurements.
Sample Metadata Fields
No sample metadata fields
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