12304 results for "cancer rna-seq"

in 22.64 milliseconds.

• 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

• 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 h3k27me3 ChIP-Seq data generated from KEP study

  IPS-NPC01 h3k27me3 ChIP-Seq paired end data

  Dataset EGAD00001007278

• 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

• oxBS-seq for APL

  Oxidative bisulfite sequencing (oxBS-Seq) for APL

  Dataset EGAD00001008135

• Paired-end ATAC-seq analysis of the 3D spatially mapped GBM samples.

  Dataset contains 70 paired-end ATAC-seq samples from 8 patients.

  Dataset EGAD00001010311

• Single-cell/single-nucleus RNA-seq of Embryonal Tumor with Multilayered Rosettes (ETMR)

  Embryonal tumor with multilayered rosettes (ETMR) is a pediatric brain tumor with dismal prognosis. We analyzed eleven ETMR patient samples using single-cell transcriptomics. We reveal a spatially distinct cellular hierarchy that spans highly proliferative neural stem-like cells and more differentiated neuron-like cells. C19MC is predominantly expressed in stem-like cells and controls a transcriptional network governing stemness and lineage commitment. Systematic analysis of receptor-ligand interactions between malignant cell types reveals FGFR and NOTCH signaling as oncogenic pathways. Our study provides fundamental insights into ETMR pathobiology and a powerful rationale for more effective targeted therapies.

  Study EGAS50000000937

• Systematic immune cell dysregulation and molecular subtypes revealed by single cell RNA-seq of subjects with type 1 diabetes

  Type 1 diabetes mellitus (T1DM) is a prototypic endocrine autoimmune disease resulting from an immune-mediated destruction of pancreatic insulin-secreting beta-cells. A comprehensive immune cell phenotype evaluation in T1DM has not been performed thus far at the single. In this cross-sectional analysis, we generated a single-cell transcriptomic dataset of peripheral blood mononuclear cells (PBMCs) from 46 manifest T1DM (Stage 3) cases and 31 matched controls.Our study reveals a surprisingly strong systemic dimension at the level of immune cell network in T1DM, defines disease-relevant molecular subtypes and has the potential to guide non-invasive test development and patient stratification.

  Study EGAS50000000231

• Evaluation of protocols for rRNA depletion-based RNA sequencing of nanogram inputs of mammalian total RNA

  Study EGAS00001003849

• MuTHER adipose tissue small RNA expression

  MuTHER adipose tissue small RNA expression

  Dataset EGAD00001000105

• Single Cell ATAC-Seq of MELAS

  This dataset includes combined single Assay for Transposase-Accessible Chromatin, using sequencing (ATAC-seq), and mitochondrial DNA sequencing of peripheral blood mononuclear cells from three individuals with m.3243A>G associated MELAS (Mitochondrial Encephalopathy, Lactic Acidosis, and Stroke-like episodes).

  Study phs002217

• Chromatin segmentation of myometrium and UL subclasses

  Histone modification ChIP-seq for chromatin state annotations of myometrium and UL subclasses. Altogether 5 analyses and 210 runs. Includes fastq files; both ChIP and Input for each sample. Some Inputs are used for multiple ChIP experiments. ChIP-seq alignment files for trimmed, mapping q20 and nonredundant reads; both ChIP and Input for each sample. Software: Trim Galore v0.6.7; Bowtie 2 v2.5.0; samtools v1.6

  Dataset EGAD50000001443

• ChIP-seq for 10 samples

  This dataset contains ChIP-seq data generated from two patient-derived xenograft (PDX) models. For each model, sequencing data are provided from input control (n=1), IgG control (n=2), and FOXF1 immunoprecipitation (n=2). All the 10 samples are in bam file type.

  Dataset EGAD50000001786

• scRNA-seq of Patient-derived tumor fragments (PDTFs)

  scRNA-seq of Patient-derived tumor fragments (PDTFs) which were treated with either Isotype (DP47), Isotype-IL2v (DP47-IL2v), anti-PD1 (PembroPGLALA) or PD1-IL2v (PembroPGLALA-IL2v) for 48 hours. Dataset content: 10 samples from 3 donors File type: paired-end fastq files Protocol: Chromium Single Cell 3' Reagent Kits User Guide (Dual Index) with Feature Barcoding technology for Cell Surface Protein (CG000317) Technology: Illumina sequencing Experimentation: scRNA-seq using the 10X technology

  Dataset EGAD50000000584

• 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