10148 results for "cancer rna-seq"

in 36.37 milliseconds.

• 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

• Reference epigenome IPS-Fibroblast02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007273

• Reference epigenome IPS-Fibroblast02 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007274

• Reference epigenome IPS-Fibroblast02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-Fibroblast02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007275

• Reference epigenome IPS-NPC01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007277

• Reference epigenome IPS-NPC01 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007279

• Reference epigenome IPS-NPC01 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007280

• Reference epigenome IPS-NPC01 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007281

• Reference epigenome IPS-NPC01 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007282

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

  IPS-NPC01 input ChIP-Seq paired end data

  Dataset EGAD00001007283

• Reference epigenome IPS-NPC02 h3k27ac ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007284

• Reference epigenome IPS-NPC02 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007285

• Reference epigenome IPS-NPC02 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007286

• Reference epigenome IPS-NPC02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007287

• Reference epigenome IPS-NPC02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-NPC02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007289

• Reference epigenome IPS-NPC02 input ChIP-Seq data generated from KEP study

  IPS-NPC02 input ChIP-Seq paired end data

  Dataset EGAD00001007290

• Reference epigenome IPS-ENeuron01 h3k27ac ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007291

• Reference epigenome IPS-ENeuron01 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007292

• Reference epigenome IPS-ENeuron01 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007294

• Reference epigenome IPS-ENeuron01 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007295

• Reference epigenome IPS-ENeuron01 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron01 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007296

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

  IPS-ENeuron01 input ChIP-Seq paired end data

  Dataset EGAD00001007297

• Reference epigenome IPS-ENeuron02 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007299

• Reference epigenome IPS-ENeuron02 h3k36me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007300

• Reference epigenome IPS-ENeuron02 h3k4me1 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007301

• Reference epigenome IPS-ENeuron02 h3k4me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007302

• Reference epigenome IPS-ENeuron02 h3k9me3 ChIP-Seq data generated from KEP study

  IPS-ENeuron02 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007303

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

  IPS-ENeuron02 input ChIP-Seq paired end data

  Dataset EGAD00001007304

• Reference epigenome Pancreas-Islet06 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007450

• Reference epigenome Pancreas-Islet06 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007451

• Reference epigenome Pancreas-Islet06 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007452

• Reference epigenome Pancreas-Islet06 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007453

• Reference epigenome Pancreas-Islet06 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007454

• Reference epigenome Pancreas-Islet06 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet06 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007455

• Reference epigenome Pancreas-Islet06 input ChIP-Seq data generated from KEP study

  Pancreas-Islet06 input ChIP-Seq paired end data

  Dataset EGAD00001007456

• Reference epigenome Pancreas-Islet07 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007457

• Reference epigenome Pancreas-Islet07 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007458

• Reference epigenome Pancreas-Islet07 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007459

• Reference epigenome Pancreas-Islet07 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007460

• Reference epigenome Pancreas-Islet07 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007461

• Reference epigenome Pancreas-Islet07 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet07 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007462

• Reference epigenome Pancreas-Islet07 input ChIP-Seq data generated from KEP study

  Pancreas-Islet07 input ChIP-Seq paired end data

  Dataset EGAD00001007463

• Reference epigenome Pancreas-Islet08 h3k27ac ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007464

• Reference epigenome Pancreas-Islet08 h3k27me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007465

• Reference epigenome Pancreas-Islet08 h3k36me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007466

• Reference epigenome Pancreas-Islet08 h3k4me1 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007467

• Reference epigenome Pancreas-Islet08 h3k4me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007468

• Reference epigenome Pancreas-Islet08 h3k9me3 ChIP-Seq data generated from KEP study

  Pancreas-Islet08 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007469

• Reference epigenome Pancreas-Islet08 input ChIP-Seq data generated from KEP study

  Pancreas-Islet08 input ChIP-Seq paired end data

  Dataset EGAD00001007470

• Reference epigenome Fat-adipocyte03 h3k27ac ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007471

• Reference epigenome Fat-adipocyte03 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007472

• Reference epigenome Fat-adipocyte03 h3k36me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007473

• Reference epigenome Fat-adipocyte03 h3k4me1 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007474

• Reference epigenome Fat-adipocyte03 h3k4me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007475

• Reference epigenome Fat-adipocyte03 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte03 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007476

• Reference epigenome Fat-adipocyte03 input ChIP-Seq data generated from KEP study

  Fat-adipocyte03 input ChIP-Seq paired end data

  Dataset EGAD00001007477

• Reference epigenome Fat-adipocyte04 h3k27ac ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007478

• Reference epigenome Fat-adipocyte04 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007479

• Reference epigenome Fat-adipocyte04 h3k36me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007480

• Reference epigenome Fat-adipocyte04 h3k4me1 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007481

• Reference epigenome Fat-adipocyte04 h3k4me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007482

• Reference epigenome Fat-adipocyte04 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte04 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007483

• Reference epigenome Fat-adipocyte04 input ChIP-Seq data generated from KEP study

  Fat-adipocyte04 input ChIP-Seq paired end data

  Dataset EGAD00001007484

• Reference epigenome Fat-adipocyte05 h3k27ac ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k27ac ChIP-Seq paired end data

  Dataset EGAD00001007485

• Reference epigenome Fat-adipocyte05 h3k27me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007486

• Reference epigenome Fat-adipocyte05 h3k36me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k36me3 ChIP-Seq paired end data

  Dataset EGAD00001007487

• Reference epigenome Fat-adipocyte05 h3k4me1 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k4me1 ChIP-Seq paired end data

  Dataset EGAD00001007488

• Reference epigenome Fat-adipocyte05 h3k4me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k4me3 ChIP-Seq paired end data

  Dataset EGAD00001007489

• Reference epigenome Fat-adipocyte05 h3k9me3 ChIP-Seq data generated from KEP study

  Fat-adipocyte05 h3k9me3 ChIP-Seq paired end data

  Dataset EGAD00001007490

• Reference epigenome Fat-adipocyte05 input ChIP-Seq data generated from KEP study

  Fat-adipocyte05 input ChIP-Seq paired end data

  Dataset EGAD00001007491

• ATAC-Seq of human stimulated and cultured CD4+ Treg cells

  This dataset includes whole genome sequence data for ATAC-seq (42 samples) of human stimulated and cultured CD4+ Treg cells.

  Dataset EGAD00001004829

• RNA sequencing data from visceral and abdominal subcutaneous adipose tissue from morbidly obese women with normal glucose tolerance or type 2 diabetes

  The study group consisted of 17 obese women with normal glucose tolerance and 15 obese women with T2DM. Adipose tissue specimens were taken from the epigastric region of the abdominal wall (SAT) and from the major omentum (VAT). RNA was isolated and RNA sequencing was used to analyse the transcriptome. Dharuri H et al, Diabetologia. 2014;57(11):2384-92.

  Study EGAS00001001872

• 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

• ICR_RNASeq_pHGG

  RNA sequencing of paediatric high grade gliomas and diffuse intrinsic pontine gliomas. RNA was sequenced from fresh frozen surgical material or from primary cells cultured under stem cell conditions. RNA was subjected to Illumina whole transcriptome paired end sequencing. Data is provided as paired-end FASTQ files

  Dataset EGAD00001004116

• RNA sequencing data pre-treatment and post-treatment for NABUCCO cohort 1

  NABUCCO cohort 1 sequencing data. The dataset includes RNA sequencing pre-treatment on tumor samples (n=18) and RNA sequencing post-treatment on bladder tumor samples (n=18).

  Dataset EGAD00001006855

• Enhancer Mapping in Chronic Lymphocytic Leukemia

  In this study we profile the epigenomic enhancer landscapes of CLL B cells (CD19+/CD5+) harvested from peripheral blood of patients from our Center. Included are results of ChIPseq profiling using chromatin immunoprecipitation of the enhancer histone mark H3K27ac (acetylated lysine 27 on histone H3), and open chromatin profiles using ATAC-seq (assay for transposase accessible chromatin). These profiles are used to define the global enhancer and super enhancer landscape of CLL B cells, and to derive active transcription factor networks associated with this disease. Also included are H3K27ac ChIP-seq and ATAC-seq datasets for non-CLL B cells obtained from the peripheral blood of normal adult donors.

  Study phs001704

• scRNA-seq data of BALF and blood cells from COPD and control

  Chronic obstructive pulmonary disease (COPD) is ranked the third leading cause of death worldwide and hence constitutes a significant burden, both medically and financially. To date, the cellular mechanism underlying COPD is poorly understood and thus no effective therapy is currently available. To broaden the current knowledge of the immune landscape in the alveolar space, we performed scRNA-Seq of CD45-enriched bronchoalveolar lavage fluid (BALF) cells and isolated blood leukocytes obtained from COPD patients and healthy controls using both the Seq-Well and the Chromium (10x Genomics) technology.

  Study EGAS00001004369

• Sample Multiplexing Oligo Comparison

  In this study, we compared various multiplexing reagents, including MULTI-Seq, Hashtag antibody, and CellPlex, in patient-derived xenografts (PDXs). We found that all multiplexing reagents worked well in cell types robust to ex vivo manipulation but suffered from signal-to-noise issues in more delicate sample types. We also compared the performance of fixed scRNA-Seq kits and CRISPR-based destruction of non-informative genes.

  Study EGAS50000000153

• COVID-19 Postmortem Lung snRNA-seq

  A deeper understanding of the pathological mechanisms of SARS-CoV-2 infection is required to combat COVID-19. Through this dataset, we analyze postmortem lung cells from patients that are infected/uninfected with SARS-CoV-2 with snRNA-seq.

  Study EGAS00001004689