9931 results for "cancer rna-seq"

in 51.16 milliseconds.

• Reference epigenome Islet-derived-iPSC02 mRNA-Seq data generated from KEP study

  Islet-derived-iPSC02 mRNA-Seq paired end data

  Dataset EGAD00001007165

• Reference epigenome Pancreas-Islet02 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007195

• Reference epigenome IPS-Fibroblast02 h3k27ac ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007270

• Reference epigenome IPS-Fibroblast02 input ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 input ChIP-Seq paired end data

  Dataset EGAD00001007276

• Reference epigenome IPS-ENeuron02 h3k27ac ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007298

• Genetic Mechanisms of Disease Lab DAC

  Data access for raw and processed H3K27ac ChIP-seq and ATAC-seq data from "Effect of ETS2 modulation on chromatin accessibility and enhancer activity in human macrophages".

  Dac EGAC50000000087

• reChIP-seq reveals widespread bivalency of H3K4me3 and H3K27me3 in CD4+ memory T-Cells

  Identification of genomic loci exhibiting the physical co-localization of two distinct DNA-associated proteins remains a technical challenge. To tackle this challenge we have developed a novel reChIP-seq approach that enriches for two distinct DNA-associated proteins in an unbiased and genome-wide manner. We illustrate the utility of our approach by identifying nucleosomes bivalently modified by H3K4me3 and H3K27me3 in primary human CD4+ central memory T-cells (TCMs). We unravel widespread bivalency of many unmethylated CpG-rich regions in TCMs overlapping with transcriptional start sites of developmental regulators. Furthermore, reChIP-seq uncovers two yet unobserved classes of bivalency, where either H3K4me3 or H3K27me3 is mixed with low but detectable bivalency. We provide evidence that bivalency is established by an interplay between genome and epigenome and thus attains stability. Our described reChIP-seq approach augments conventional ChIP-seq and is broadly applicable in the study of co-localization of DNA-associated proteins to unravel the intricate possibilities of combinatorial action.

  Study EGAS00001001568

• Whole genome sequencing of pheochromocytoma and paraganglioma arising from germline SDHB mutations

  Paired-end 150 basepair whole genome sequencing of 94 SDHB-deficient non-metastatic and metastatic pheochromocytoma and paraganglioma. Libraries were prepared using the Illumina® TruSeq™ DNA Nano library preparation method according to the manufacturer’s instructions at The University of Melbourne Centre for Cancer Research (UMCCR) using 200ng input DNA and a 550 base pair insert size. Samples were sequenced in separate batches on the Illumina® Nova-Seq 6000 according to manufacturer’s instructions (Illumina, USA). Included in this dataset are FASTQ format files containing raw read data, CRAM format files containing reads aligned to GRCh38, and VCF format files containing germline variants calls.

  Dataset EGAD50000000502

• Gene Expression and Biomarker Utility in Post-Mortem Samples

  The FAA Functional Genomics Team examined the feasibility of analyzing gene expression profiles using post-mortem brain, lung, muscle, and blood samples collected from aviation accident fatalities, with the goal of validating post-mortem extracted RNA for use in RNA sequencing. We compared the RNA sequencing results obtained from THC-positive and THC-negative samples to determine whether RNA sequencing on samples collected from aviation accident fatalities was possible and if any differences in gene expression associated with THC consumption were detectable post-mortem. The study population included 57 males of indeterminant age who perished in general aviation accidents and for whom post-mortem toxicological testing identified delta-9-THC or its primary or secondary metabolites, as well as negative controls. We determined that RNA sequencing on post-mortem aviation accident fatality samples is possible, and further identified genes showing differential expression in lung and muscle between THC-positive and THC-negative samples. We conclude that post-mortem tissue samples collected from aviation accident fatalities are suitable for gene expression profiling, but caution researchers that such samples have low RNA integrity numbers and some degree of microbial contamination is both probable and to be expected. Raw sequencing files (.fastq) from this study are available in dbGaP.

  Study phs003546

• Lipomatous tumors with 12q amplification

  The project concerns whole genome sequencing (short-read and long-read) and RNA-sequencing of lipomatous tumors with 12q-amplification. A subset of lipomatous tumors is driven by amplification of genes mapping to chromosome arm 12q, including the MDM2 gene. The goals of the study were to compare expression levels of genes mapping to 12q in tumors with amplification in rod-shaped or circularized chromosomes as well as to assess and compare the structural variants in those tumors. In total, 20 samples were analyzed, and the data were correlated with genomic data on bulk and single cell DNA from the same tumors. The fastq files from the tumors were uploaded to EGA.

  Study EGAS50000000062

• small RNA-sequencing and RNA-sequencing of human brain tissue with temporal lobe epilepsy

  This data set contains the raw .fastq files from two RNA-sequencing experiments and two small RNA-sequencing experiments. Both control brain tissue and tissue from sufferers of mesial temporal lobe epilepsy were sequenced. Two different brain regions were sequenced; the cortex and the hippocampus. For more details please see: Mills, James D., et al. "Coding and non-coding transcriptome of mesial temporal lobe epilepsy: Critical role of small non-coding RNAs." Neurobiology of disease 134 (2020): 104612.

  Dataset EGAD00001005735

• Primary_DIPG_expression_profiles

  In this study, we used RNA-sequencing gene expression profiling in order to characterize specific phenotypic traits in DIPG. Seventeen primary tumor samples stereotactically biopsied at diagnosis by neurosurgeons in the Necker-Enfants Malades hospital (Paris, France) and snap-frozen for RNA extraction and subsequent poly-A mRNA purification.

  Study EGAS00001007181

• ICGC MMML-seq Data Freeze March 2013 transcriptome sequencing

  ICGC MMML-seq Data Freeze March 2013 transcriptome sequencing

  Dataset EGAD00001000356

• Reference epigenome DB31_N_Alpha_mRNA-Seq data generated from KEP study

  A DB31_N_Alpha_mRNA-Seq paired end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003485

• Reference epigenome DB31_N_Alpha_smRNA-Seq data generated from KEP study

  A DB31_N_Alpha_smRNA-Seq single end data for alpha cells(PSA-NCAM(-), pancreas)

  Dataset EGAD00001003494

• Oxford Human islet ATAC-seq dataset of 5 human islets

  ATAC-seq data for 5 non-diabetic human pancreatic islet samples

  Dataset EGAD00001003759

• Reference epigenome ADMSC01_smRNA-Seq data generated from KEP study

  A ADMSC01_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003867

• Reference epigenome ADMSC02_smRNA-Seq data generated from KEP study

  A ADMSC02_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003868

• Reference epigenome ADMSC03_smRNA-Seq data generated from KEP study

  A ADMSC03_smRNA-Seq single end data for adipose-derived mesenchymal stroaml cells

  Dataset EGAD00001003869

• 4C-seq data of a primary AML with t(3;8)

  The viewpoints used in the 4C-seq data were either the EVI1 promoter or the MYC super-enhancer

  Dataset EGAD00001006818

• Reference epigenome Pancreas-Islet02 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007193

• Reference epigenome Pancreas-Islet02 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007194

• Reference epigenome Pancreas-Islet02 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007196

• Reference epigenome Pancreas-Islet02 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007197

• Reference epigenome Pancreas-Islet02 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007198

• Reference epigenome Pancreas-Islet02 input ChIP-Seq data generated from KEP study

  Pancreas-Islet02 input ChIP-Seq paired end data

  Dataset EGAD00001007199

• Reference epigenome Pancreas-Islet03 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007200

• Reference epigenome Pancreas-Islet03 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007201

• Reference epigenome Pancreas-Islet03 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007202

• Reference epigenome Pancreas-Islet03 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007203

• Reference epigenome Pancreas-Islet03 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007204

• Reference epigenome Pancreas-Islet03 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet03 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007205

• Reference epigenome Pancreas-Islet03 input ChIP-Seq data generated from KEP study

  Pancreas-Islet03 input ChIP-Seq paired end data

  Dataset EGAD00001007206

• Reference epigenome Pancreas-Islet04 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007207

• Reference epigenome Pancreas-Islet04 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007208

• Reference epigenome Pancreas-Islet04 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007209

• Reference epigenome Pancreas-Islet04 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007210

• Reference epigenome Pancreas-Islet04 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007211

• Reference epigenome IPS-ENeuron01 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007293

• Reference epigenome Pancreas-Islet04 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007212

• Reference epigenome Pancreas-Islet04 input ChIP-Seq data generated from KEP study

  Pancreas-Islet04 input ChIP-Seq paired end data

  Dataset EGAD00001007213

• Reference epigenome Pancreas-beta01 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007214

• Reference epigenome Pancreas-beta01 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007215

• Reference epigenome Pancreas-beta01 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007216

• Reference epigenome Pancreas-beta01 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007217

• Reference epigenome Pancreas-beta01 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007218

• Reference epigenome Pancreas-beta01 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-beta01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007219

• Reference epigenome Pancreas-beta01 input ChIP-Seq data generated from KEP study

  Pancreas-beta01 input ChIP-Seq paired end data

  Dataset EGAD00001007220

• Reference epigenome Fat-Preadipocyte01 h3k27ac ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007221

• Reference epigenome Fat-Preadipocyte01 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007222

• Reference epigenome Fat-Preadipocyte01 h3k36me3 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007223

• Reference epigenome Fat-Preadipocyte01 h3k4me1 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007224

• Reference epigenome Fat-Preadipocyte01 h3k4me3 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007225

• Reference epigenome Fat-Preadipocyte01 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007226

• Reference epigenome Fat-Preadipocyte01 input ChIP-Seq data generated from KEP study

  Fat-Preadipocyte01 input ChIP-Seq paired end data

  Dataset EGAD00001007227

• Reference epigenome Kidney-Podocyte01 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007228

• Reference epigenome Kidney-Podocyte01 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007229

• Reference epigenome Kidney-Podocyte01 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007230

• Reference epigenome Kidney-Podocyte01 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007231

• Reference epigenome Kidney-Podocyte01 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007232

• Reference epigenome Kidney-Podocyte01 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007233

• Reference epigenome Kidney-Podocyte01 input ChIP-Seq data generated from KEP study

  Kidney-Podocyte01 input ChIP-Seq paired end data

  Dataset EGAD00001007234

• Reference epigenome Kidney-Podocyte03 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007235

• Reference epigenome Kidney-Podocyte03 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007236

• Reference epigenome Kidney-Podocyte03 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007237

• Reference epigenome IPS-NPC01 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007278

• Reference epigenome Kidney-Podocyte03 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007238

• Reference epigenome Kidney-Podocyte03 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007239

• Reference epigenome Kidney-Podocyte03 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007240

• Reference epigenome Kidney-Podocyte03 input ChIP-Seq data generated from KEP study

  Kidney-Podocyte03 input ChIP-Seq paired end data

  Dataset EGAD00001007241

• Reference epigenome Kidney-Podocyte04 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007242

• Reference epigenome Kidney-Podocyte04 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007243

• Reference epigenome Kidney-Podocyte04 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007244

• Reference epigenome Kidney-Podocyte04 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007245

• Reference epigenome Kidney-Podocyte04 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007246

• Reference epigenome Kidney-Podocyte04 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007247

• Reference epigenome Kidney-Podocyte04 input ChIP-Seq data generated from KEP study

  Kidney-Podocyte04 input ChIP-Seq paired end data

  Dataset EGAD00001007248

• Reference epigenome Kidney-mesangial01 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007249

• Reference epigenome Kidney-mesangial01 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007250

• Reference epigenome Kidney-mesangial01 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007251

• Reference epigenome Kidney-mesangial01 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007252

• Reference epigenome Kidney-mesangial01 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007253

• Reference epigenome Kidney-mesangial01 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007254

• Reference epigenome Kidney-mesangial01 input ChIP-Seq data generated from KEP study

  Kidney-mesangial01 input ChIP-Seq paired end data

  Dataset EGAD00001007255

• Reference epigenome Kidney-mesangial02 h3k27ac ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007256

• Reference epigenome Kidney-mesangial02 h3k27me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007257

• Reference epigenome Kidney-mesangial02 h3k36me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007258

• Reference epigenome Kidney-mesangial02 h3k4me1 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007259

• Reference epigenome Kidney-mesangial02 h3k4me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007260

• Reference epigenome Kidney-mesangial02 h3k9me3 ChIP-Seq data generated from KEP study

  Kidney-mesangial02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007261

• Reference epigenome Kidney-mesangial02 input ChIP-Seq data generated from KEP study

  Kidney-mesangial02 input ChIP-Seq paired end data

  Dataset EGAD00001007262

• Reference epigenome IPS-Fibroblast01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007263

• Reference epigenome IPS-Fibroblast01 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007264

• Reference epigenome IPS-Fibroblast01 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007265

• Reference epigenome IPS-Fibroblast01 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007266

• Reference epigenome IPS-Fibroblast01 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007267

• Reference epigenome IPS-Fibroblast01 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007268

• Reference epigenome IPS-Fibroblast01 input ChIP-Seq data generated from KEP study

  IPS-Fibroblast01 input ChIP-Seq paired end data

  Dataset EGAD00001007269

• Reference epigenome IPS-Fibroblast02 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007271

• Reference epigenome IPS-Fibroblast02 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007272