11750 results for "cancer rna-seq"

in 39.30 milliseconds.

• TCRseq

  T cell receptor sequencing of tumor samples. Briefly, DNAse I treated tumor RNA samples were subjected to library preparation using AmpliSeq Immune Repertoire Panel (Illumina) and sequenced using NextSeq500.

  Study EGAS50000000258

• Transcriptional Reference Map of Human Natural Killler Cells

  Here we performed single-cell RNA sequencing of both bulk NK and sorted NK subsets to establish a transcriptional reference map of human natural killer cells.

  Study EGAS50000000014

• Inherited defects of piRNA biogenesis cause transposon de-repression, impaired spermatogenesis, and human male infertility

  Effect of biallelic variants in genes of the piRNA pathway on biogenesis of pachytene piRNAs. RNA isolated from snap frozen testicular tissue

  Study EGAS50000000397

• Single-cell RNAseq of hematological toxicity following CAR-T cells injection

  Bone marrow aspirations obtained from patients treated with CAR-T cells were analyzed using single cell RNA sequencing (CD3+, CAR T+, CD34+ sorted populations).

  Study EGAS50000000776

• circulating cell-free RNAs, CF-miRNAs, Sequencing with Qiaseq and NextSeq 550

  This dataset includes small RNA sequencing data from circulating cell-free RNAs (CF-miRNAs). miRNA libraries were prepared using the Qiaseq miRNA Library Kit with adaptations for low RNA input and sequenced on the Illumina NextSeq 550 platform

  Dataset EGAD50000001503

• RNA-sequencing of PBMCs from COVID-19 patients experiencing different degrees of the disease (mild and critical), and control patients

  Bulk RNA-sequencing of peripheral blood mononuclear cells collected from mild COVID-19 (n = 4), critical COVID-19 (n = 12) and control (n = 8) patients. Sequencing data is provided as FASTQ files.

  Dataset EGAD50000001405

• p200503_fn1

  RNA-Sequencing data of tumor spheroids (HT-29) incubated with medium conditioned by Fusobacterium nucleatum treated CAFs (patient derived CAF20 and CAF32 as well as the CAF05 cell line).

  Study EGAS50000001120

• Single-cell transcriptomic data of 9 DHG-H3G34 patient tumors.

  We applied single-cell/single-nucleus RNA-sequencing to a patient cohort of 9 fresh and frozen untreated diffuse hemispheric gliomas, H3G34-mutant (DHG-H3G34).

  Study EGAS50000000534

• Sequencing data for CLL patients

  Single-cell RNA-sequencing and other genome-wide approaches were applied to a cohort of CLL patients receiving Venetoclax treatment to study mechanisms of resistance.

  Study EGAS00001005815

• FACS-based purification and paired-end RNA sequencing

  We performed a prospective investigation in Sézary syndrome by the application of a standardized multiparameter flow cytometry, FACS-cell sorting, and RNA-sequencing for an in-depth immunophenotypic and transcriptional profiling of Sézary cells.

  Dataset EGAD00001007687

• RNA sequencing data to study therapeutic targeting of ependymoma

  This dataset conatains RNA sequencing data from 24 patients. Up to two lanes per tumour sample have been seqeunced on a Illumina HiSeq2000 instrument in paired-end mode resulting in 58 Fastq files.

  Dataset EGAD00001003966

• RNA sequencing of human fetal brain at 7, 9, 12, 15 and 21 gestational weeks

  The dataset contains raw sequences (FASTQ files) from the Illumina 2x150bp paired-end RNA sequencing profiles of 11 fetal human brain samples at 7, 9, 12, 15 and 21 gestational weeks

  Dataset EGAD00001003915

• Single cell RNA sequencing of CD34+ CB and BM samples in SLE and healthy controls

  Single cell RNA paired-end sequencing was performed on CD34+ progenitor cells derived from 4 SLE patients, 6 healthy control samples and 2 umbilical cord blood samples using Illumina MiSeq/NextSeq 500.

  Dataset EGAD00001011277

• Single cell RNA-seq mapping of nasal and tracheobronchial airways in human healthy volunteers

  The respiratory tract constitutes an elaborated line of defense based on a unique cellular ecosystem. Single-cell profiling methods enable the investigation of cell population distributions and transcriptional changes along the airways. We have explored cellular heterogeneity of the human airway epithelium in 10 healthy living volunteers by single-cell RNA profiling. 77,969 cells were collected by bronchoscopy at 35 distinct locations, from the nose to the 12th division of the airway tree. The resulting atlas is composed of a high percentage of epithelial cells (89.1%), but also immune (6.2%) and stromal (4.7%) cells with peculiar cellular proportions in different sites of the airways. It reveals differential gene expression between identical cell types (suprabasal, secretory, and multiciliated cells) from the nose (MUC4, PI3, SIX3) and tracheobronchial (SCGB1A1, TFF3) airways. By contrast, cell-type specific gene expression was stable across all tracheobronchial samples. Our atlas improves the description of ionocytes, pulmonary neuro-endocrine (PNEC) and brush cells, which are likely derived from a common population of precursor cells. We also report a population of KRT13 positive cells with a high percentage of dividing cells which are reminiscent of “hillock” cells previously described in mouse. Robust characterization of this unprecedented large single-cell cohort establishes an important resource for future investigations. The precise description of the continuum existing from nasal epithelium to successive divisions of lung airways and the stable gene expression profile of these regions better defines conditions under which relevant tracheobronchial proxies of human respiratory diseases can be developed.

  Study EGAS00001004082

• ChIP-seq of plasma cell-free nucleosomes identifies gene expression programs of the cells-of-origin

  Cell-free DNA in human plasma provides access to molecular information about the pathological processes in the organs or tumors from which it originates. These DNA fragments are derived from fragmented chromatin in dying cells, and retain some of the cell of origin histone modifications. Here, we apply chromatin immunoprecipitation of cell-free nucleosomes carrying active chromatin modifications followed by sequencing (cfChIP-seq) to 268 human samples. In healthy donors, we identified bone marrow megakaryocytes, but not erythroblasts, as major contributors to the cfDNA pool. In patients with a range of liver diseases, we show that we can identify pathology-related changes in hepatocyte transcriptional programs. In metastatic colorectal carcinoma patients, we detected clinically relevant, and patient-specific information, including transcriptionally active HER2 amplifications. Altogether, cfChIP-seq using low sequencing depth, provides systemic and genome-wide information, can inform diagnosis, and facilitate interrogation of physiological and pathological processes using blood samples.

  Study EGAS00001004913

• Epitope-linked Ig-seq of self-reactive plasma cells in celiac disease

  Study EGAS00001003658

• ChIP-seq of plasma cell-free nucleosomes identifies cell-of-origin gene expression programs

  Dac EGAC00001001875

• EGFR Mutant SCLC transformed exome seq

  Dataset EGAD00001001436

• ChIP_PEAKS

  ChIP-seq narrowPeaks. Software: MACS2 v2.1.2

  Dataset EGAD00010001923

• Human Inflammatory Skin Disease scRNA-seq

  Study EGAS00001005271

• ATRT ChIPSeq H3K27ac

  ATRT ChIPSeq H3K27ac

  Dataset EGAD00001004836

• Exome

  Exome Seq for Study EGAS00001001844

  Dataset EGAD00001002159

• Exome

  Exome Seq from EGAS00001001846

  Dataset EGAD00001002162

• BLUEPRINT Bisulfite-seq (CNAG)

  Bisulfite-Seq

  Study EGAS00001000418

• H3K27ac ChIP-seq in primary inflammatory (TPP) macrophages

  We investigated an intergenic haplotype on chr21q22, linked to five different inflammatory diseases, and identified the molecular mechanism by which the risk haplotype increases expression of the causal gene, ETS2. This mechanism was predicted to alter enhancer activity at the disease-associated locus. We therefore performed H3K27ac ChIP-seq in inflammatory macrophages from minor and major allele homozygotes at the causal allele and investigated the effect on enhancer activity. In doing so, we mechanistically delineated how the risk haplotype increases expression of ETS2.

  Study EGAS00001007562

• High-grade B-cell lymphoma, not otherwise specified: an LLMPP study

  Molecular characterization of high-grade B-cell lymphoma, not otherwise specified (HGBCL-NOS), is hindered by its rarity, evolving definition, and poor diagnostic reproducibility. To address this challenge, we analyzed 92 HGBCL-NOS tumors collected across Lymphoma/Leukemia Molecular Profiling Project sites. These tumors were profiled using whole-genome sequencing (WGS) or whole-exome sequencing (WES) to identify somatic mutations, WGS or low-pass WGS to detect copy number alterations, targeted capture sequencing to assess MYC and BCL2 structural variants, and RNA sequencing. The genetic features of HGBCL-NOS were compared to those of diffuse large B-cell lymphoma (DLBCL-NOS) and EBV-negative adult Burkitt lymphoma (BL). DLBCL-NOS tumors underwent targeted capture sequencing using a panel of 125 genes recurrently mutated in aggressive B-cell lymphomas. BL biopsies were drawn from the Burkitt Lymphoma Genome Sequencing Project and had available WGS (dbGaP Study Accession: phs000527.v18.p6).

  Study EGAS50000000932

• GATA6 expression distinguishes classical and basal-like subtypes in advanced pancreatic cancer.

  PURPOSE: To determine the impact of basal-like and classical subtypes in advanced PDAC and to explore GATA6 expression as a surrogate biomarker. EXPERIMENTAL DESIGN: Within the COMPASS trial patients proceeding to chemotherapy for advanced PDAC undergo tumour biopsy for RNA sequencing. Overall response rate (ORR) and overall survival (OS) were stratified by subtypes and according to chemotherapy received. Correlation of GATA6 with the subtypes using gene expression profiling, in situ hybridization (ISH) were explored. RESULTS: Between December 2015-May 2019, 195 patients (95%) had enough tissue for RNA sequencing; 39 (20%) were classified as basal-like and 156 (80%) as classical. RECIST response data were available for 157 patients; 29 basal-like and 128 classical where the ORR was 10% vs. 33% respectively (p=0.02). In patients with basal-like tumours treated with modified FOLFIRINOX (mFFX) (n=22) the progression rate was 60% compared to 15% in classical PDAC (p= 0.0002). Median OS in the intention to treat population (n=195) was 9.3 months for classical vs. 5.9 months for basal-like PDAC (HR 0.47 95% CI 0.32-0.69, p=0.0001). GATA6 expression by RNAseq highly correlated with the classifier (p<0.001) and ISH predicted the subtypes with sensitivity of 89% and specificity of 83%. In a multivariable analysis, GATA6 expression was prognostic (p=0.02). In exploratory analyses, basal-like tumours, could be identified by keratin 5, were more hypoxic and enriched for a T cell inflamed gene expression signature. CONCLUSIONS: The basal-like subtype is chemoresistant and can be distinguished from classical PDAC by GATA6 expression.

  Dataset EGAD00001006081

• Gene-Specific RNA Sequencing in PLCG2-Associated Immune Dysregulation with Cold Urticaria

  This study utilized gene-specific RNA-sequencing of PLCG2 to screen for disease causing in-frame exon-skipping transcripts of PLCG2 in a collection of 9 subjects with cold urticaria, 2 subjects with known PLCG2-associated antibody deficiency and immune dysregulation (PLAID)-causing deletions of PLCG2 (positive controls) and 3 healthy subjects (negative controls). Full length cDNA of PLCG2 was generated using gene specific reverse transcription of peripheral blood mononuclear cell RNA. The full length PLCG2 cDNA was used as the template to create Illumina sequencing libraries. To identify the underlying genetic basis for the exon-skipping transcripts, trio-based whole genome sequencing was performed for probands in whom in-frame exon-skipping transcripts of PLCG2 were identified.

  Study phs003807

• scRNA-seq reveals alterations of multiple alveolar macrophage states in chronic obstructive pulmonary disease

  Dac EGAC00001001547

• The paired FF/FFPE colon set, Exome-Seq

  Dataset EGAD00001000834

• AML scRNA-seq

  Dataset EGAD00001006537

• Single-cell RNA sequencing of blood immune cells before and after interleukin-2 immunotherapy

  Single-cell RNA sequencing of flow cytometry sorted human CD45+ immune cells from 3 systemic lupus erythematosus patients (SLE_002, SLE_004, and SLE_006) collected at baseline (day 0, before interleukin-2 immunotherpay) and day 5 (after 1 treatment cycle of interleukin-2 immunotherapy). Sorted immune cells were hash tagged and then stained with TotalSeq Human Universal Cocktail (Biolegend) before further processing for single-cell RNA sequencing using the 10X-Genomics platform. Samples from all 3 patients were pooled and loaded on 3 lanes of the chromium controller, resulting in 1 raw sequncing file for each lane.

  Dataset EGAD50000000662

• HipSci RNA sequencing for embryonic stem cell control lines

  The HipSci project brings together diverse constituents in genomics, proteomics, cell biology and clinical genetics to create a UK national iPS cell resource and use it to carry out cellular genetic studies. In this sub-study we perform RNA sequencing on commercially available embryonic stem cell lines as control samples against which to compare HipSci's iPS cell lines.

  Study EGAS00001001727

• Single cell RNA sequencing of bone marrow mononuclear cells

  Bone marrow aspirates were obtained from patients with relapsed/refractory large B cell lymphoma (rrLBCL), mononuclear cells isolated by ficoll density-gradient centrifugation, and loaded onto a 10X Chromium for single cell RNA-sequencing using 5’ chemistry without prior cryopreservation. Healthy donor bone marrow mononuclear cells were obtained from healthy allogeneic stem cell transplant donors and analyzed following viable cryopreservation.

  Study EGAS00001006836

• RNA sequencing of surgically removed lung adenocarcinoma afterwards treated with immune checkpoint inhibitors

  Patients with lung adenocarcinoma (LUAD) from The Cancer Genome Atlas (TCGA) database were enrolled in the training cohort to establish a prognostic signature based on the expression of tumor-specific amino acid metabolism related genes. The established signature was further investigated against an original cohort, KCC-ICI, of chemotherapy combined with immune checkpoint inhibitors. The signature consisting of nine genes, KYNU, PSPH, PPAT, MIF, GCLC, ACAD8, TYRP1, ALDH2, and HDC, could effectively stratify the OS in LUAD patients. The KCC-ICI cohort confirmed the predictive ability of the established signature in the clinical response to immune checkpoint blockade therapy, which correlated with the infiltration of immune cells (e.g., T lymphocytes and nature killer cells). We discovered that the high signature risk score patients showed a significantly lower concentration of plasma-free ??-aminobutyric acid (AABA).

  Study JGAS000675

• Single-cell Kinnex sequencing of Alzheimer's disease isoform profile

  Alzheimer’s disease (AD) is the most common cause of dementia, yet its molecular causes remain incompletely understood. RNA diversity in part arising from dysregulated splicing may contribute to AD pathogenesis; however, the ability to interrogate the resulting full-length isoforms in single brain cells has been technologically limited. Here we report the use of PacBio Kinnex long-read sequencing combined with 10X Genomics single-cell preparations to identify both annotated and unannotated RNA isoforms. Eight AD and seven non-diseased post-mortem human brains yielded ~70,000 single nuclei showing diverse, differentially expressed, and switched transcripts in multiple genes. Cell-type-specific isoform expression and variants with intra-exonic junctions associated with reverse transcriptase-mediated somatic gene recombination were also detected. Novel isoforms, including CHI3L1 and SEPTIN4, were altered in AD. Kinnex sequencing of RNA isoforms from single nuclei detected vast isoform diversity amongst brain cell types, representing an under-explored element in AD and other brain disorders.

  Study EGAS50000001476

• Identification of gene mutations and fusion genes in patients with Sézary Syndrome

  Sezary syndrome (SS) is a leukemic form of cutaneous T-cell lymphoma (CTCL) with an aggressive clinical course. The goal of our study is to understand the genetic basis of the disease by looking for driver gene mutations and fusion genes in 15 erythrodermic patients with circulating Sezary cels, fourteen of them fulfilling the diagnostic criteria of SS. Peripheral blood samples were collected for each patient and CD4+ T-lymphocytes and Granulocytes were isolated. DNA and RNA was extracted for matched normal and tumor materials. Whole exome sequencing was performed on matched normal and tumor tissues of 12 patients and RNA sequencing was performed on 10 patients. For 7 of these patients, we have both exome as well as RNA sequencing data. In this study, we present a complex genomic landscape of Sezary syndrome with several point mutations, copy number variations and fusion events which could contribute to the pathogenesis of SS.

  Study EGAS00001001706

• 10x Genomics single-cell RNA sequencing of cerebrospinal fluid

  This dataset contains fastq files from single-cell RNA sequencing of cerebrospinal fluid of 81 patients with multiple sclerosis (n=33) or other neurological disease (n=48) using the 10x Genomics Chromium single cell 3’ v2 chemistry. Sequencing was performed using an Illumina HiSeq4000 sequencer.

  Dataset EGAD50000000184

• Single-cell RNA-sequencing of peritoneal fluid from patients with achalasia

  The data published here contains single-cell RNA-sequencing (scRNAseq) data as obtained using the 3' scRNAseq using Chromium Single Cell 3’ Reagent from 10X Genomics on peritoneal fluid (PF) from patients with achalasia. Sequencing was performed in a paired-ended fashion on the NovaSeq6000.

  Dataset EGAD50000000251

• Human Brain Small Extracellular Vesicles Contain Selectively-Packaged, Full-Length mRNA

  sEVs were isolated from postmortem human brain tissue. RNA was extracted from the source brain tissue and the sEVs and prepared for RNA sequencing. cDNA was sequenced on the Illumina HiSeq using a 2x150 paired-end read configuration.

  Dataset EGAD50000000042

• RNA bulk sequencing on organoids from different organs with or without TS2/16 antibody

  RNA bulk sequencing on organoids from colon, ileum, jejunum, duodenum and pancreas duct with or without TS2/16 antibody. Also there is difference in extracellular matrix used, BME vs Colagen.

  Dataset EGAD50000001606

• RNA sequencing of T-LGLL patients

  RNA sequencing was performed on 15 T-LGLL patients and five control samples. The raw data is provided as fastq files.

  Dataset EGAD00001008408

• Longitudinal evaluation of serum microRNAs as biomarkers for neuroblastoma burden and therapeutic p53 reactivation

  Small RNA sequencing data (TruSeq small RNA library preparation kit v2) from serum samples and tumor tissue of orthotopically injected mice (SH-SY5Y cell line) and unengrafted mice, treated with idasanutlin, temsirolimus and vehicle control.

  Dataset EGAD00001009625

• RNA sequencing of Human Organoid Lines

  The study will use RNA sequencing to aid in benchmarking different culture conditions in a set of genetically annotated human organoid lines. The data will be used to assess whether there are any clonal differences introduced when culturing these lines in different conditions.

  Dataset EGAD00001007971

• A molecular atlas of the human postmenopausal fallopian tube and ovary from single-cell RNA

  This datasets contains raw sequencing fastq data of 17 samples from 7 donors of single cell RNA using10x genome technology of human postmenopausal fallopian tube and ovary tissues.

  Dataset EGAD00001010076

• RNA sequencing of control OM cells exposed to traffic-related air pollutants

  Total RNA sequencing of olfactory mucosa (OM) cells derived from cognitively healthy individuals exposed to traffic-related ultrafine particles (UFPs) for 24h and 72h in submerged cultures. The UFPs used for exposures were: A0, A20 and Euro6. Exposures were compared to the corresponding blank samples.

  Dataset EGAD00001011317

• BLUEPRINT release August 2014, ChIP-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell

  ChIP-Seq data for 1 CD34-negative, CD41-positive, CD42-positive megakaryocyte cell sample(s). 7 run(s), 7 experiment(s), 7 alignment(s). Part of BLUEPRINT release August 2014. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_chipseq_analysis_ebi_20140811

  Dataset EGAD00001000916

• EED inhibition of organoid development

  Transcriptomics and epigenomics after chemical inhibition of EED during early human brain organoid development. To investigate the role of H3K27me3 inhibition during neuroectoderm induction, we treated brain organoids with 3 concentrations of EED inhibitor (and control) during the transition of pluripotency to neuroepithelium. At the neuroepithelium stage, we profiled the organoids using scRNA-seq (transcriptome) and bulk Cut&Tag (H3K27me3, H3K27ac). Library preparation for scRNA-seq was carried out with the 10x genomics platform.

  Dataset EGAD50000000224

• Single cell analyses of transcriptome and epigenome in neuroblastoma infiltrated bone marrow

  We report transcriptional and genome-wide ATAC-seq analyses at single cell resolution of 16 bone marrow samples with and without neuroblastoma infiltration. Our samples span across several neuroblastoma models, including MYCN amplified, ATRX mutated, and sporadic (lacking either alteration).

  Study EGAS00001006106

• BLUEPRINT release August 2016, ChIP-Seq for osteoclast, on genome GRCh38

  ChIP-Seq data for 2 osteoclast sample(s). 17 run(s), 14 experiment(s), 14 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002391

• BLUEPRINT release August 2016, Bisulfite-Seq for effector memory CD8-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 2 effector memory CD8-positive, alpha-beta T cell sample(s). 30 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002383

• BLUEPRINT release August 2016, ChIP-Seq for monocyte - RPMI_T=4hrs, on genome GRCh38

  ChIP-Seq data for 3 monocyte - RPMI_T=4hrs sample(s). 8 run(s), 8 experiment(s), 8 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002328

• BLUEPRINT release August 2016, ChIP-Seq for plasma cell, on genome GRCh38

  ChIP-Seq data for 5 plasma cell sample(s). 24 run(s), 23 experiment(s), 23 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002281

• BLUEPRINT release August 2016, Bisulfite-Seq for CD34-negative, CD41-positive, CD42-positive megakaryocyte cell, on genome GRCh38

  Bisulfite-Seq data for 2 CD34-negative, CD41-positive, CD42-positive megakaryocyte cell sample(s). 29 run(s), 2 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002311

• BLUEPRINT release August 2016, Bisulfite-Seq for class switched memory B cell, on genome GRCh38

  Bisulfite-Seq data for 3 class switched memory B cell sample(s). 43 run(s), 4 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002354

• BLUEPRINT release August 2016, Bisulfite-Seq for effector memory CD4-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 2 effector memory CD4-positive, alpha-beta T cell sample(s). 34 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002367

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - MS275, on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia - MS275 sample(s). 7 run(s), 7 experiment(s), 7 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002342

• BLUEPRINT release August 2016, ChIP-Seq for T-cell Acute Lymphocytic Leukemia, on genome GRCh38

  ChIP-Seq data for 9 T-cell Acute Lymphocytic Leukemia sample(s). 41 run(s), 41 experiment(s), 41 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002400

• BLUEPRINT release August 2016, Bisulfite-Seq for central memory CD8-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 2 central memory CD8-positive, alpha-beta T cell sample(s). 36 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002486

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - MC2392, on genome GRCh38

  ChIP-Seq data for 2 Acute Promyelocytic Leukemia - MC2392 sample(s). 14 run(s), 12 experiment(s), 12 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002406

• BLUEPRINT release August 2016, Bisulfite-Seq for mature neutrophil - G-CSF/Dex. Treatment (16-20 hrs), on genome GRCh38

  Bisulfite-Seq data for 3 mature neutrophil - G-CSF/Dex. Treatment (16-20 hrs) sample(s). 33 run(s), 3 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002412

• DNA-seq FASTQ files from 16 carriers of the BMPR2 p.Arg491Gln mutation in a family affected by HPAH

  Paired-end DNA-seq FASTQ files from 16 carriers of the BMPR2 p.Arg491Gln mutation in a family affected by hereditary pulmonary arterial hypertension (HPAH). Whole genome sequencing of these samples was performed in an Illumina HiSeq 4000 instrument. Libraries were prepared using the Fisher PE Kit (Kapa Biosystems). Each sample was multiplexed across flowcells and lanes, leading to a total number of 86 FASTQ files.

  Dataset EGAD00001005756

• BLUEPRINT release August 2016, Bisulfite-Seq for CD4-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 8 CD4-positive, alpha-beta T cell sample(s). 108 run(s), 8 experiment(s), 16 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002460

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - CTR, on genome GRCh38

  ChIP-Seq data for 3 Acute Promyelocytic Leukemia - CTR sample(s). 22 run(s), 21 experiment(s), 21 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002490

• BLUEPRINT release August 2016, ChIP-Seq for macrophage, on genome GRCh38

  ChIP-Seq data for 9 macrophage sample(s). 55 run(s), 55 experiment(s), 55 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002504

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - MC2494, on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia - MC2494 sample(s). 2 run(s), 1 experiment(s), 1 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002516

• scRNA-seq of relapsed/refractory multipe myeloma with 10x Chromium (3´ v2)

  This dataset includes 87 scRNA-seq samples of bone marrow aspirates of 20 relapsed/refractory patients generated with the 3´(v2) kit of the 10x Chromium platform. Bone marrow cells have been sorted using CD138 +/- fractions using magnetic beads for plasma cell enrichment and processed independently. For 14/20 patients multiple treatment timepoints are available that includes samples before treatment and at relapse during treatment.

  Dataset EGAD00001006903

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - SAHA, on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia - SAHA sample(s). 1 run(s), 1 experiment(s), 1 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002298

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia, on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia sample(s). 7 run(s), 7 experiment(s), 7 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002304

• BLUEPRINT release August 2016, ChIP-Seq for neutrophilic myelocyte, on genome GRCh38

  ChIP-Seq data for 4 neutrophilic myelocyte sample(s). 28 run(s), 23 experiment(s), 23 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002318

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - ATRA, on genome GRCh38

  ChIP-Seq data for 3 Acute Promyelocytic Leukemia - ATRA sample(s). 21 run(s), 20 experiment(s), 20 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002319

• BLUEPRINT release August 2016, ChIP-Seq for monocyte - RPMI_T=6days, on genome GRCh38

  ChIP-Seq data for 3 monocyte - RPMI_T=6days sample(s). 10 run(s), 7 experiment(s), 7 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002413

• BLUEPRINT release August 2016, ChIP-Seq for Acute Lymphocytic Leukemia, on genome GRCh38

  ChIP-Seq data for 15 Acute Lymphocytic Leukemia sample(s). 79 run(s), 78 experiment(s), 78 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002421

• BLUEPRINT release August 2016, Bisulfite-Seq for CD8-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 4 CD8-positive, alpha-beta T cell sample(s). 57 run(s), 5 experiment(s), 8 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002496

• BLUEPRINT release August 2016, Bisulfite-Seq for mesenchymal stem cell of the bone marrow, on genome GRCh38

  Bisulfite-Seq data for 2 mesenchymal stem cell of the bone marrow sample(s). 39 run(s), 4 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002519

• Epigenetic dysregulation in autism spectrum disorder

  Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders characterized by deficits in social interaction and social communication, along with restricted and repetitive behaviour patterns. we globally interrogated the histone acetylomes of enhancers in a large cohort of ASD and control samples by analyzing tissue from three brain regions postmortem: prefrontal cortex (PFC), temporal cortex (TC) and cerebellum (CB). H3K27ac was selected as the representative acetylation mark and 288 ChIP-seq were performed on these postmortem samples.

  Dataset EGAD00001002725

• BLUEPRINT release August 2016, Bisulfite-Seq for endothelial cell of umbilical vein (proliferating), on genome GRCh38

  Bisulfite-Seq data for 2 endothelial cell of umbilical vein (proliferating) sample(s). 36 run(s), 2 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002451

• BLUEPRINT release August 2016, Bisulfite-Seq for central memory CD4-positive, alpha-beta T cell, on genome GRCh38

  Bisulfite-Seq data for 2 central memory CD4-positive, alpha-beta T cell sample(s). 41 run(s), 3 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002364

• BLUEPRINT release August 2016, ChIP-Seq for Acute Lymphocytic Leukemia - CTR, on genome GRCh38

  ChIP-Seq data for 1 Acute Lymphocytic Leukemia - CTR sample(s). 7 run(s), 7 experiment(s), 7 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002280

• BLUEPRINT release August 2016, ChIP-Seq for Acute Myeloid Leukemia - SAHA, on genome GRCh38

  ChIP-Seq data for 3 Acute Myeloid Leukemia - SAHA sample(s). 14 run(s), 14 experiment(s), 14 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002292

• BLUEPRINT release August 2016, ChIP-Seq for Multiple Myeloma, on genome GRCh38

  ChIP-Seq data for 4 Multiple Myeloma sample(s). 34 run(s), 28 experiment(s), 28 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002379

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - MC2884 (24h), on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia - MC2884 (24h) sample(s). 6 run(s), 6 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002312

• BLUEPRINT release August 2016, ChIP-Seq for Acute Promyelocytic Leukemia - MC2884, on genome GRCh38

  ChIP-Seq data for 1 Acute Promyelocytic Leukemia - MC2884 sample(s). 8 run(s), 8 experiment(s), 8 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002357

• BLUEPRINT release August 2016, Bisulfite-Seq for cytotoxic CD56-dim natural killer cell, on genome GRCh38

  Bisulfite-Seq data for 4 cytotoxic CD56-dim natural killer cell sample(s). 54 run(s), 5 experiment(s), 8 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002403

• BLUEPRINT release August 2016, ChIP-Seq for T-cell Prolymphocytic Leukemia, on genome GRCh38

  ChIP-Seq data for 3 T-cell Prolymphocytic Leukemia sample(s). 21 run(s), 21 experiment(s), 21 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002411

• BLUEPRINT release August 2016, Bisulfite-Seq for endothelial cell of umbilical vein (resting), on genome GRCh38

  Bisulfite-Seq data for 2 endothelial cell of umbilical vein (resting) sample(s). 35 run(s), 4 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002294

• BLUEPRINT release August 2016, ChIP-Seq for Burkitt Lymphoma, on genome GRCh38

  ChIP-Seq data for 3 Burkitt Lymphoma sample(s). 13 run(s), 13 experiment(s), 13 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002329

• BLUEPRINT release August 2016, ChIP-Seq for Acute Myeloid Leukemia - MC2884, on genome GRCh38

  ChIP-Seq data for 1 Acute Myeloid Leukemia - MC2884 sample(s). 3 run(s), 3 experiment(s), 3 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002344

• BLUEPRINT release August 2016, ChIP-Seq for monocyte - None, on genome GRCh38

  ChIP-Seq data for 3 monocyte - None sample(s). 17 run(s), 17 experiment(s), 17 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002279

• BLUEPRINT release August 2016, Bisulfite-Seq for precursor lymphocyte of B lineage, on genome GRCh38

  Bisulfite-Seq data for 1 precursor lymphocyte of B lineage sample(s). 11 run(s), 2 experiment(s), 2 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002291

• BLUEPRINT release August 2016, ChIP-Seq for erythroblast, on genome GRCh38

  ChIP-Seq data for 2 erythroblast sample(s). 14 run(s), 14 experiment(s), 14 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002377

• BLUEPRINT release August 2016, ChIP-Seq for monocyte - RPMI_LPS_T=4hrs, on genome GRCh38

  ChIP-Seq data for 2 monocyte - RPMI_LPS_T=4hrs sample(s). 5 run(s), 5 experiment(s), 5 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002399

• BLUEPRINT release August 2016, ChIP-Seq for Acute Myeloid Leukemia, on genome GRCh38

  ChIP-Seq data for 38 Acute Myeloid Leukemia sample(s). 244 run(s), 226 experiment(s), 226 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002418

• BLUEPRINT release August 2016, Bisulfite-Seq for mature conventional dendritic cell - GM-CSF_IL4_T=6_days_R848_T=24hrs, on genome GRCh38

  Bisulfite-Seq data for 3 mature conventional dendritic cell - GM-CSF_IL4_T=6_days_R848_T=24hrs sample(s). 60 run(s), 4 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002428

• BLUEPRINT release August 2016, Bisulfite-Seq for CD3-negative, CD4-positive, CD8-positive, double positive thymocyte, on genome GRCh38

  Bisulfite-Seq data for 2 CD3-negative, CD4-positive, CD8-positive, double positive thymocyte sample(s). 29 run(s), 2 experiment(s), 4 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002464

• BLUEPRINT release August 2016, Bisulfite-Seq for CD14-positive, CD16-negative classical monocyte, on genome GRCh38

  Bisulfite-Seq data for 6 CD14-positive, CD16-negative classical monocyte sample(s). 86 run(s), 6 experiment(s), 12 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002523

• RCC methyl-seq data

  methyl-seq data 64 cases

  Dataset EGAD00001009867

• BLUEPRINT release August 2016, Bisulfite-Seq for germinal center B cell, on genome GRCh38

  Bisulfite-Seq data for 3 germinal center B cell sample(s). 37 run(s), 4 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002511

• BLUEPRINT release August 2016, Bisulfite-Seq for immature conventional dendritic cell - GM-CSF_IL4_T=6_days, on genome GRCh38

  Bisulfite-Seq data for 3 immature conventional dendritic cell - GM-CSF_IL4_T=6_days sample(s). 61 run(s), 4 experiment(s), 6 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_bisulphite_analysis_CNAG_20160816

  Dataset EGAD00001002284

• BLUEPRINT release August 2016, ChIP-Seq for Acute Myeloid Leukemia - CTR, on genome GRCh38

  ChIP-Seq data for 7 Acute Myeloid Leukemia - CTR sample(s). 45 run(s), 44 experiment(s), 44 analysis(s) on human genome GRCh38. Part of BLUEPRINT release August 2016. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20160816/homo_sapiens/README_chipseq_analysis_ebi_20160816

  Dataset EGAD00001002340