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Homo sapiens
12 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
The study aims to define gene expression changes associated with mithramycin treatment of Ewing Sarcoma cell lines.
Publication Title
Identification of an inhibitor of the EWS-FLI1 oncogenic transcription factor by high-throughput screening.
Sample Metadata Fields
Cell line, Treatment
View Samples- Homo sapiens
- 53 Downloadable Samples
NextSeq 500
Description
Activation of identity determining transcription factors (TFs), or core regulatory TFs, is governed by cell-type specific enhancers, an important subset of these being super enhancers (SEs). This mechanism is distinct from constitutive expression of housekeeping genes. The characterization of drug-like small molecules to selectively inhibit core regulatory circuitry is of high interest for treatment of cancers, which are addicted to core regulatory TF function at SEs. Surprisingly, we find histone deacetylases (HDAC) to be an indispensable component of SE-driven transcription. While histone acetylation is a marker for active genes, over accumulation of acetylation selectively halts core regulatory transcription. We show this conundrum may in part be explained by a SE-specific need for resetting histones to maintain SE boundaries, to facilitate enhancer-promoter looping and high levels of transcription. Overall design: RNA-seq data for FP-RMS cells treated with various concentrations of various small molecules modulators of epigenetic processes.
Publication Title
Chemical genomics reveals histone deacetylases are required for core regulatory transcription.
Sample Metadata Fields
Specimen part, Cell line, Treatment, Subject
View Samples- Mus musculus
- 11 Downloadable Samples
- Illumina Genome Analyzer II
Description
T cell development comprises a stepwise process of commitment from a multipotent precursor. To define molecular mechanisms controlling this progression, we probed five stages spanning the commitment process using deep sequencing RNA-seq and ChIP-seq methods to track genome-wide shifts in transcription, cohorts of active transcription factor genes, histone modifications at diverse classes of cis-regulatory elements, and binding patterns of GATA-3 and PU.1, transcription factors with complementary roles in T-cell development. The results locate potential promoter-distal cis-elements in play and reveal both activation sites and diverse mechanisms of repression that silence genes used in alternative lineages. Histone marking is dynamic and reversible, and while permissive marks anticipate, repressive marks often lag behind changes in transcription. In vivo binding of PU.1 and GATA-3 relative to epigenetic marking reveals distinctive, factor-specific rules for recruitment of these crucial transcription factors to different subsets of their potential sites, dependent on dose and developmental context. Overall design: Genome-wide expression profiles, global distributions of three different histone modifications, and global occupancies of two transcription factors were examined in five developmentally related immature T populations. High throughput sequencing generated on average 9-30 million of mappable reads (single-read) for each ChIP-seq sample, and 10-15 million (single-read) for RNA-seq. Independent biological replicates were analyzed for individual populations. Terminology: FLDN1_RNA-seq_sample1 and FLDN1_RNA-seq_sample2 are independent biological replicates for the same cell type.
Publication Title
Dynamic transformations of genome-wide epigenetic marking and transcriptional control establish T cell identity.
Sample Metadata Fields
Specimen part, Cell line, Subject
View Samples
SRP018838- Homo sapiens
- 62 Downloadable Samples
- IlluminaHiSeq2000
Description
RNA-seq transcriptome measurements are typically performed by isolating RNA from large numbers of cells in culture or tissues. While highly informative, such experiments mask the variability in gene expression patterns that exists between individual cells. To gain insight into the dynamics of gene expression on the level of single-cells, we have carried out the transcriptomes of single-cells from the GM12878 cell line using RNA-seq. Overall design: Single GM12878 cells were picked and RNA-seq libraries were generated using the SMART-seq protocol. We also carried out RNA-seq experiments on pools of 10, 30 and 100 cells, on 100pg and 10ng of total RNA, and on pools of 10 cells that were subsequently split into 10 separate sample and processed as if they were single cells in order to assess technical variation in our experiments.
Publication Title
From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 119 Downloadable Samples
- Illumina HiSeq 2500, Illumina HiSeq 2000
Description
We report the application of single-cell and bulk RNA sequencing technology to examine the noncoding transcriptome of cells undergoing reprogramming to the pluripotent state. Overall design: Examination of noncoding RNAs in reprogrammming cells. We examined iPS cells grown in standard ES cell culture conditions, as well as iPS cells grown in "2i" conditions (small molecule inhibition of Mek and Gsk3). We also compared our iPS samples to male and female ES cells (mES, fES).
Publication Title
Single-cell transcriptome analysis reveals dynamic changes in lncRNA expression during reprogramming.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 39 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
Specimen part, Disease
View Samples GSE11057- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. It has been applied to yeast and other systems but not to blood samples.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
Specimen part, Disease
View Samples GSE11058- Homo sapiens
- 16 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Microarray deconvolution is a technique for quantifying the relative abundance of constituent cells in a mixture based on that mixture's microarray signature and the signatures of the purified constituents. Its ability to discriminate related human cells is unknown.
Publication Title
Deconvolution of blood microarray data identifies cellular activation patterns in systemic lupus erythematosus.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 24 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Familial hypertrophic cardiomyopathy (FHC) is a disease characterized by ventricular hypertrophy, fibrosis, and aberrant systolic and/or diastolic function. Our laboratories have previously developed 2 mouse models that affect cardiac performance. One transgenic mouse model encodes an FHC-associated mutation in -tropomyosin (Tm180) that displays severe cardiac hypertrophy with fibrosis and impaired physiological performance. The other model was a gene knockout of phospholamban (PLB), a regulator of calcium uptake in the sarcoplasmic reticulum of cardiomyocytes; the hearts of these mice exhibit hypercontractility with no pathological abnormalities. Previous work in our laboratories show that the hearts of mice that were genetically crossed between the Tm180 and PLB KO mice rescues the hypertrophic phenotype and improves their cardiac morphology and function.
Publication Title
Microarray analysis of active cardiac remodeling genes in a familial hypertrophic cardiomyopathy mouse model rescued by a phospholamban knockout.
Sample Metadata Fields
Age, Specimen part
View Samples- Mus musculus
- 79 Downloadable Samples
- Affymetrix Mouse Gene 2.0 ST Array (mogene20st)
Description
Transcript data from heart tissue from fasted-state male BXD strains on chow or high fat diet
Publication Title
Quantifying and Localizing the Mitochondrial Proteome Across Five Tissues in A Mouse Population.
Sample Metadata Fields
Specimen part, Treatment
View Samples