3924 results for "RNA AND sequencing OR transcriptome"

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• BLUEPRINT release August 2014, RNA-Seq for hematopoietic multipotent progenitor cell

  RNA-Seq data for 3 hematopoietic multipotent progenitor cell sample(s). 9 run(s), 3 experiment(s), 3 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_rnaseq_analysis_crg_20140811

  Dataset EGAD00001000919

• BLUEPRINT release August 2014, RNA-Seq for hematopoietic stem cell

  RNA-Seq data for 3 hematopoietic stem cell sample(s). 8 run(s), 3 experiment(s), 3 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_rnaseq_analysis_crg_20140811

  Dataset EGAD00001000939

• BLUEPRINT release August 2014, RNA-Seq for granulocyte monocyte progenitor cell

  RNA-Seq data for 3 granulocyte monocyte progenitor cell sample(s). 3 run(s), 3 experiment(s), 3 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_rnaseq_analysis_crg_20140811

  Dataset EGAD00001000922

• Paired RNA-Seq of fCAB treated and bisulfite treated VDH01, partly depleted for NSUN3

  Paired RNA-seq of bisulfite treated VDH01 samples control or depleted for NSUN3 (4 replicates each). The samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of fCAB treated vdh01 samples control or depleted for NSUN3(4 replicates each). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of fCAB treated VDH01 samples (3). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq. Paired RNA-seq of bisulfite treated VDH01 samples (3). the samples were prepped with NEBNext Ultra II DNA library prep kit and sequenced on MiSeq.

  Dataset EGAD00001008742

• Epithelioid sarcoma dataset

  This deposit consists of DNA and RNA sequencing data from 32 EPS patients. 28 samples had tumor DNA sequencing data. 2 had matched normal sequencing data. 27 samples had tumor RNA sequencing data.

  Dataset EGAD00001008515

• BM xenograft TARGET-seq+ single-cell transcriptome sequencing

  Single-cell whole transcriptome sequencing data for 5 xenografted bone marrow samples (4 cases with clonal haematopoiesis and 1 without clonal haematopoiesis). For each sample, mice were treated with two doses of PBS or hTNFa. CD34+ HSPCs and CD34-CD33+ myeloid cells were isolated from xenografted mice, sorted into plates, and TARGET-seq+ was performed to generate plate-based 3' transcriptome data. Additionally, cells from a control primary bone marrow sample (NOC153) were included on each plate. Each library consist of 192 cells sorted into a single plate. FASTQ files are provided; R1 contains cell barcodes and R2 contains the cDNA read. For demultiplexing and pre-processing instructions see: https://github.com/asgerjakobsen/TARGET-seq-plus-RNA.

  Dataset EGAD50000002382

• CMV infection during pregnancy

  This study aims to characterize the transcriptional diversity, clonal composition, and viral target antigens of CMV-specific CD8 T cells among pregnant women with different anti-CMV serological patterns. Single-cell RNA sequencing (scRNA-seq) combined with MHC-peptide dextramers were performed using CD8 T cells from pregnant donors.

  Study JGAS000728

• single-cell RNA sequencing and RNA sequencing of normal uterine cervix

  We designed this study to identify molecular markers of HPV18 early promoter. In this study, we developed patient-derived organoids from squamous-columular junction of normal uterine cervix and infected HPV18 into those organoids to elucidate the molecular biological characteristics of HPV18-activated cells.

  Study JGAS000640

• A single-cell atlas of meningioma.

  In this study, we examined the breadth of cell types and states in meningioma using the largest single-cell cohort of meningioma by generating more than 7.5 million total cells from meningioma and surrounding dura, profiled using single-nuclear RNA sequencing and high-resolution spatial transcriptomics.

  Study EGAS50000001589

• Expression profiles of DLL1 positive and negative subpopulations in metastatic colorectal cancer organoids under cetuximab treatment

  Bulk RNA sequencing was performed on metastatic colorectal cancer (mCRC) organoids subjected to cetuximab treatment and FACS-sorted according to DLL1 positivity. This study is part of a larger set of studies focused on investigating cetuximab induced populations in mCRC organoids

  Study EGAS50000001780

• Single-nucleus RNA sequencing (snRNA-seq) of seven human diffuse midline glioma (DMG) patient tumour samples.

  This dataset comprises 7 paired (14 total) FASTQ files of single-nucleus RNA sequencing (snRNA-seq) data generated from seven human diffuse midline glioma (DMG) patient tumour samples. snRNA-seq libraries were generated using the 10X Chromium Controller and Chromium Next GEM Single Cell 3’ kit version 3.1 in line with the manufacturer’s instructions. Generated libraries were sequenced on an Illumina NextSeq 2000 (P3 XLEAP-SBS chemistry) at targeted 20,000 reads per nucleus.

  Dataset EGAD50000002514

• Single-cell RNA sequencing of metastatic colorectal cancer organoids treated with cetuximab

  Organoids were seeded in 12-well plates at a density of 5 × 10⁴ cells per well, embedded in 200 µL of Matrigel diluted 1:1 with culture medium, and maintained under EGF-deprived conditions. After four days of growth, organoids were either left untreated or treated with cetuximab (20 µg/mL). Following 72 hours of treatment, organoids were harvested, dissociated, and live single cells were sorted for single-cell RNA sequencing using the 10x Genomics platform.

  Dataset EGAD50000002104

• Single-cell RNA sequencing of metastatic colorectal cancer patient-derived xenografts treated with cetuximab

  Tumor implantation and expansion were performed in two 6-week-old NOD/SCID mice. Once tumors reached an average volume of approximately 700 mm³, mice were randomly assigned to one of two treatment arms: vehicle (physiological saline, intraperitoneally, twice weekly) or cetuximab (20 mg/kg, intraperitoneally, twice weekly). After 1 week of treatment, mice were sacrificed, and tumors were harvested and preserved in sCelLiVE® Buffer for downstream single-cell RNA sequencing analysis.

  Dataset EGAD50000002103

• RnaSeq data from 414 tumor samples with non muscle invasive bladder cancer

  A better understanding of the molecular landscape of non-muscle-invasive bladder cancer (NMIBC) is essential to improve risk assessment and identify potential therapeutic targets. Here, we perform a comprehensive genomic analysis of patients diagnosed with NMIBC based on whole-exome- (n=438), shallow whole-genome- (n=362), and total RNA-sequencing (n=414). This dataset contains 414 BAM files corresponding to the full total RNA-sequencing dataset.

  Dataset EGAD50000000733

• Stimulation of healthy donor NK cells with IL-15, TGF-β, and tumor cells for 6 days to induce a taNK phenotype.

  To generate sufficient number of taNK cells for functional assays, we established an in vitro model mimicking the taNK phenotype. Bulk RNA sequencing validated the phenotype by comparing CD103⁺CD49a⁺ (ta)NK cells to CD103⁻CD49a⁻ non-taNK cells.

  Study EGAS50000001658

• Single cell RNA sequencing of bone marrow mononuclear cells from healthy donors and B-cell lymphoma patients following CD19 CAR T-cell therapy

  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.

  Dataset EGAD00001009774

• Integrated analysis of whole genome and RNA sequencing in 22 HBV-associated HCCs

  RIKEN collection WGS and RNA-seq reads for 66 HBV-associated HCC and matched blood or liver samples from 22 donors.

  Dataset EGAD00001001035

• Bam files from Whole exome sequencing (WES, ~50x mean read depth) of metachronous bladder tumors

  In this study we characterized genomic alterations in two to five metachronous bladder tumors from 29 patients initially diagnosed with early stage disease. Fourteen patients (32 tumors) had non progressive disease (NPD) and 15 patients (34 tumors) had progressive disease (PD). Whole exome sequencing (WES, ~50x mean read depth and whole transcriptome RNA-seq was performed (RNA was not advalible for 4 tumors) Data provided here consist of 122 Bam files for WES (83 Tumors and 39 blood)

  Dataset EGAD00001002716

• RNA sequencing of human intra- and extracranial endothelial cells

  This data set contains the raw .fastq files from one RNA-sequencing experiment. Endothelial cells of the basilar artery and endothelial cells of the carotid artery were post-mortem derived with laser microdissection and sequenced. For this analysis both the basilar- and the carotid artery endothelial cells of eleven individuals were sequenced. For more details please see: DMA Hermkens et al. "Profiling the Unique Protective Properties of Intracranial Arterial Endothelial Cells" Acta Neuropathol Commun. 2019 Oct 14; PMID: 31610812.

  Dataset EGAD00001006203

• Single-cell RNA sequencing of T-LGLL patients

  Single-cell RNA sequencing was performed on viably frozen cells from 11 T-LGLL samples from 9 T-LGLL patients and 6 age-matched healthy samples. The raw data is available as fastq files.

  Dataset EGAD00001008409

• Single cell data from TB patients

  The dataset comprises single-cell RNA sequencing (scRNA-seq) data derived from around 60,000 PBMCs collected from donors across different severity groups of extrapulmonary tuberculosis (EPTB) and healthy controls (3 healthy, 3 mild, 3 intermediate, 3 severe). The data include both transcriptomic and surface protein expression profiles obtained using the BD Rhapsody Single-Cell Multiomics System. Libraries were prepared for whole transcriptome analysis (WTA), AbSeq, and sample tagging, with sequencing performed on a NovaSeq 6000 system.

  Dataset EGAD50000001118

• Genetically unique biospecimens derived from individuals with or without Type 1 Diabetes

  In this dataset, samples correspond to pools of genetically unique biospecimens derived from individuals with or without Type 1 Diabetes. Each sample alias contains all the DNA test numbers for that pool. Each experiment corresponds to scmxGEX (multiome RNA gene expression), scmxATAC (multiome ATAC sequencing), scRNA (single cell RNA sequencing), scATAC (single cell ATAC sequencing) for each pool. Runs link the appropriate fastq files to each experiment. Deconvolution using genetic information is required for single sample-based testing.

  Dataset EGAD50000001257

• WES and RNA-seq of pre-invasive lung adenocarcinoma

  The prevalence of lung adenocarcinoma (LUAD) has increased sharply in East Asia. Early diagnosis leads to better survival rates, but this requires an improved understanding of the molecular changes during early tumorigenesis, particularly in non-smokers. We performed whole exome-sequencing and RNA-sequencing of samples from 94 East Asian patients with precancerous lesions (25 with atypical adenomatous hyperplasia [AAH]; 69 with adenocarcinoma in situ [AIS]) and 73 patients with early invasive lesions (minimally invasive adenocarcinoma [MIA]). This datasets contains the sequencing raw data (FASTQ format).

  Dataset EGAD50000000637

• Whole-genome and transcriptome sequencing of tumor-stage mycosis fungoides

  Mycosis fungoides (MF) is the most common cutaneous T-cell lymphoma (CTCL), a group of malignancies derived from skin-homing malignant T cells. We subjected tumor biopsies from MF patients to whole-genome sequencing and RNA-sequencing to investigate genomic alterations and deregulated gene expression in the disease.

  Study EGAS00001002860

• Whole genome, RNA-seq and single-cell Multiome profile of multiple myeloma

  We analyzed multiple myeloma samples from two patients included in the observational prospective cohort MYRACLE before talquetamab treatment and after relapse. Five other myelomas from the same cohort were included for comparison. Normal plasma cells were also retrieved. All samples were analyzed by whole genome sequencing and single-nucleus Multiome, except one that could only be analyzed by bulk RNA sequencing.

  Dataset EGAD00001010057

• Comparison between b2m KO and US2 expressing iPSC lines

  This dataset contains bulk RNA-seq transcriptomic profiles from a human induced pluripotent stem cell (hiPSC) line and three engineered derivatives: B2M knockout, EGFP overexpression, and US2 overexpression, alongside the parental line. Total RNA integrity was assessed using the Experion RNA StdSens 1K Analysis Kit on the Bio-Rad Experion Automated Electrophoresis System prior to library preparation and sequencing. Libraries were sequenced on an Illumina NovaSeq 6000 generating ~20 million reads per sample. Raw read quality was assessed with FastQC, reads were aligned to the human reference genome hg38 (Ensembl release 109) using STAR, and alignment/library QC metrics (e.g., orientation, composition, coverage) were evaluated with Picard.

  Dataset EGAD50000002321

• Paired RNA-Seq data of Primary lymphomas of the central nervous system (PCNSL)

  Primary lymphomas of the central nervous system (PCNSL) are diffuse large B-cell lymphomas (DLBCLs) which are confined to the central nervous system (CNS). Paired RNA-Seq sequencing was done on Illumina HiSeq2000 machines using Illumina TruSeq RNA library preparation kit. About 36 tumor samples were sequenced.

  Dataset EGAD00001007811

• Transcriptome sequencing of Gingivo-buccal Cancer : ICGC-India Project_YR03

  Transcriptome Sequencing of Gingivo-buccal Cancer: ICGC-India ProjectAs a part of the ICGC, India has undertaken genomic studies on gingivobuccal cancer of the oral cavity, which is the most prevalent form of cancer among men in India. There are various known environmental (life-style) correlates of this cancer, the most important of which are tobacco chewing and HPV infection. Transcriptome sequencing of paired RNA samples – isolated from the tumor and adjacent normal tissues of 12 patients – have been performed. Detailed clinical characterization of the patients, collection of data on demographic and environmental exposures, and isolation of DNA samples from adjacent normal and tumor tissues collected from each patient are being done at the Advanced Centre for Research, Treatment and Education on Cancer, Mumbai. Sequencing is being performed at the National Institute of Biomedical Genomics, Kalyani.

  Study EGAS00001002851

• Transcriptome sequencing of Gingivo-buccal Cancer : ICGC-India Project_Batch05

  Transcriptome Sequencing of Gingivo-buccal Cancer: ICGC-India ProjectAs a part of the ICGC, India has undertaken genomic studies on gingivobuccal cancer of the oral cavity, which is the most prevalent form of cancer among men in India. There are various known environmental (life-style) correlates of this cancer, the most important of which are tobacco chewing and HPV infection. Transcriptome sequencing of paired RNA samples – isolated from the tumor and adjacent normal tissues of 28 patients – have been performed. Detailed clinical characterization of the patients, collection of data on demographic and environmental exposures, and isolation of DNA samples from adjacent normal and tumor tissues collected from each patient are being done at the Advanced Centre for Research, Treatment and Education on Cancer, Mumbai. Sequencing is being performed at the National Institute of Biomedical Genomics, Kalyani.

  Study EGAS00001003285

• RNA-seq analysis of BMP-stimulated glioma initiating cells

  Bone morphogenetic protein (BMP) signaling has been shown to suppress progression of glioblastoma by promoting astrocytic differentiation; however, roles of BMP signaling in cell proliferation and apoptosis of glioblastoma cells remains to be elucidated. We here performed RNA-seq analysis of glioma initiating cells to identify transcriptional target(s) of BMP.

  Study JGAS000077

• SATB1 KO Treg and Teff cells: RNA-seq

  We expanded human Treg and CD4+ Teff cells for 9 days, re-activated the cells and performed CRISPR/Cas9 RNP-mediated KO at day 11. The cells were treated with a pro-inflammatory cytokine IL-12 on day 12. 4 days after editing, living cells were FACS-sorted, the RNA was extracted and prepared for RNA-seq. AAVS1 KO served as control. The transcription factors SATB1 and two other targets (included to increase the robustness of the dataset) were knocked-out. Three biological replicates have been applied.

  Dataset EGAD50000001277

• scRNAseq sequencing reads and count matrices of murine splenocytes from diffuse large B-cell lymphoma

  Single-cell RNA-seq of 91 murine splenocytes from Bcl6tg/+ and Cd70-/-; Bcl6tg/+ diffuse large B-cell lymphoma mouse models and Cd70-/- and wild-type controls.

  Dataset EGAD00001012104

• Locally advanced prostate cancer cohort

  Fastq files from RNA sequencing and BAM files from tNGS of normal and tumor samples from 17 patients from the locally advanced prostate cancer cohort.

  Dataset EGAD50000002380

• Mucosal Melanoma transcriptomes

  This is an RNA sequencing dataset of 101 mucosal melanoma tumors. The original corresponding study is titled "Diversity of the immune microenvironment and response to checkpoint inhibitor immunotherapy in mucosal melanoma" by J.L. Vos et al., published in JCI Insight.

  Dataset EGAD50000000892

• Adipose tissue macrophage dysfunction is associated with a breach of vascular integrity in NASH

  We report single-cell RNA sequencing data from myeloid cells of the human visceral adipose tissue in non-alcoholic fatty liver disease patients

  Dataset EGAD50000000615

• Tumor reactive γδ T cells contribute to a complete response to PD-1 blockade in a Merkel cell carcinoma patient

  Single cell RNA and TCR sequencing of γδ T cells FACS sorted from peripheral blood of two Merkel cell carcinoma patients

  Dataset EGAD50000000137

• Patient-derived GBM cultures TMZ+BMP4 treated

  Batch RNA sequencing of passages 5-7 of three patient-derived monolayer glioblastoma cultures in which TMZ and BMP4 synergize. 3 biological replicates, either untreated, only temozolomide, only BMP4 or temozolomide + BMP4

  Dataset EGAD00001010163

• Human tumor single-cell mutiome

  We profiled 1 patient neuroblastoma-FOXR2 tumor sample by single-cell multiome RNA + ATAC. The raw fastqs are provided.

  Dataset EGAD00001010902

• Genomic Analysis of Medullary Thyroid Carcinoma

  Sequence data from two medullary thyroid carcinoma patients: WGS datasets generated from tumors and matched normal tissues and RNA-Seq from tumors are included.

  Dataset EGAD00001001618

• Hydroxycarbamide effect on gene expression in MPN

  Whole RNA-sequencing of CD34+ cells and neutrophils derived from MPN patients before hydroxycarbamide treatment and after 9-months of treatment. CD34+ cells= 5 patients, 10 samples; neutrophils= 7 patients, 14 samples. Fastq files provided.

  Dataset EGAD00001006330

• Smart-seq2 raw reads of human kidney glomerular single cells

  Smart-seq2 single cell RNA sequencing reads from kidney glomerular single cells of healthy human individuals. The dataset contains single-end fastq files of 766 single cells.

  Dataset EGAD00001006861

• Single cell RNA sequencing of colorectal cancer patients (KUL3)

  All libraries were sequenced on Illumina HiSeq4000 until sufficient saturation was reached.

  Dataset EGAD00001008584

• PAMELA - 142 patients with HER2+ breast cancer

  RNA sequencing data of 141 samples from 141 patients with HER2+ breast cancer treated withletrozole or tamoxifen (SOLTI-1114 PAMELA trial)

  Dataset EGAD00001009054

• Single-cell RNA-seq from tumor-on-chip (TOC)

  8 Fastq files of single-cell RNAseq data from tumor-on-chip (TOC) after 42h of TNBC and CAF mono- or co-culture

  Dataset EGAD50000001296

• Longitudinal 3'RNA-Seq data from MEMORI trial

  80 bam files generated from 3'RNAseq of tumour biopsies from oesophageal adenocarcinoma. Samples were collected within the clinical MEMORI trial.

  Dataset EGAD50000000357

• PDX RNA

  RNAseq from PDX tumours under treatment with dpbs or eribulin. Sarcomatous or mixed sarcoma/carcinoma. 6 PDX tumours each with 2 treatments gave 12 pairs of fastq files.

  Dataset EGAD00001009658

• RCC transcriptomic data

  RNA-seq data. 287 Japanese RCC cases.

  Dataset EGAD00001010003

• Human Epidermis scRNA

  Single cell RNA-seq analysis of human skin.

  Dataset EGAD00001004367

• RNAseq of 704 patients with soft tissue tumors

  The dataset contains transcriptome sequencing (RNA-seq) data of 704 soft tissue tumors (STT) from 704 patients. The sequencing data comes in FASTQ format and contains 1408 files. A total of 56 different STT types were included in the present study and each tumor type was represented by >2 samples. The vast majority of the patients had been diagnosed and treated at the sarcoma centers in Lund (Sweden) or Stockholm (Sweden) during the period 1988-2020, but also a few samples from other centers, obtained through previous collaborative projects, were included. RNA was extracted from fresh frozen tumor material and samples were primary lesions unless otherwise indicated. The sequencing was performed using 2x150 bp paired-end chemistry on a series of Illumina instruments at various facilities during the period 2013-2023.Samples were obtained after informed consent from the patients and the study was approved by the regional ethics committee (Etikprövningsmyndigheten, Uppsala, dnr 2023-01550-01, dnr 2025-02997-02).

  Dataset EGAD50000002120

• Paired exome analysis in urothelial carcinoma

  In this study we characterized genomic alterations in two to five metachronous tumors from 29 patients initially diagnosed with early stage disease. Fourteen patients (32 tumors) had non progressive disease (NPD) and 15 patients (34 tumors) had progressive disease (PD). Whole exome sequencing (WES, ~50x mean read depth), Ultra deep targeted sequencing (~6,809x mean read depth) and whole transcriptome RNA-seq was performed for all samples. In addition multiregional WES was performed on 8 adjacent regions from a single tumor.

  Study EGAS00001001686

• Whole Transcriptome Sequencing of NXF1 or CRM1 depleted Cell

  mRNA exporters, NXF1 and CRM1 are known to function in mRNA export. However, since each target mRNA has not been identified genome-widely, it is not clear whether they export exclusive mRNA subsets. To reveal this point, we prepared the nuclear and the cytoplasmic RNAs under either exporter inhibited condition and carried out RNA-seq. In these experiments, we also focused in the export machinery of aberrant transcripts that usually retained and decayed in the nucleus.

  Study JGAS000294

• DupiAERD

  Dataset contains bulk RNA sequencing reads from 44 NERD patients under dupilumab therapy before and after aspirin provocation at baseline and after 24 weeks of treatment. Dataset is a multiplexed .bam file containing all sequencing reads with tagged identifiers.

  Dataset EGAD50000000565

• RNAseq data of metastatic breast cancer samples

  Paired-end RNA sequencing data from 28 metastatic breast cancer samples. Sequencing was performed on the Illumina NovSeq 6000 and HiSeq 4000 using TruSeq Stranded mRNA Kit.

  Dataset EGAD50000000818

• Bulk transcriptomic analyses of monocyte-derived dendritic cells treated with CES1i

  The data published here contains bulk RNA-sequencing (RNAseq) data as obtainedfrom monocyte-derived dendritic cells in treated with/without LPS and with/without CESi (WWL113). Sequencing was performed in a paired-ended fashion on the NovaSeq6000.

  Dataset EGAD50000000344

• Small RNA sequencing of human oocytes and early embryos

  This dataset contains single-end fastq files for human oocytes (n=12), zygotes (n=5), and early embryos (n=10) sequenced with Illumina NextSeq500. The sequencing libraries were prepared from single oocytes, zygotes, and embryos in two batches.

  Dataset EGAD50000000227

• Single-cell RNA/ATAC multiome profiling of hepatoblastoma resection samples

  10x Genomics Chromium Next GEM Single Cell Multiome ATAC + Gene Expression data of hepatoblastoma tissue samples. BAM files containing sequencing data of resection material of PT13 and PT17.

  Dataset EGAD50000001750

• Korean Advanced Thyroid Cancer Dataset

  Massively-parallel DNA sequencing of 113 advanced thyroid cancers and Massively-parallel RNA sequencing of 25 advanced thyroid cancers

  Dataset EGAD00001004845

• Single-cell genome and transcriptome profiling of high-grade serous ovarian cancer

  This dataset contains joint single-cell whole-genome sequencing (scWGS) and mRNA sequencing data generated using DNTR-seq from 4 high-grade serous ovarian cancer samples. Approximately 500 quality-controlled single cells per patient were profiled, with DNA and RNA libraries sequenced separately but derived from the same individual cells. Raw sequencing files are provided in FASTQ format and enable analysis of subclonal copy number alterations, gene dosage effects, and transcriptional heterogeneity.

  Dataset EGAD50000002361

• The cellular state space of AML unveils novel NPM1 subtypes with distinct clinical outcomes and immune evasion properties

  Acute myeloid leukemia (AML) is a genetically and cellularly heterogeneous disease. We characterized 120 AMLs using bulk genomic and transcriptomic analyses (WES, MP-WGS, RNA-seq), and single-cell RNA sequencing (scRNA-seq). Our results reveal an extensive cellular heterogeneity that distorts the bulk transcriptomic profiles. Notably, NPM1 mutated AML could be stratified into two novel, clinically relevant classes (NPM1class I and NPM1class II).

  Study EGAS50000001084

• WES, sWGS and RNA-seq of Asian breast cancer

  The dataset contains a full genomics characterization of 527 Asian breast tumours. This includes whole-exome sequencing of tumour tissue at 80X, whole-exome sequencing of matched normal (blood) tissue at 40X, shallow-whole genome sequencing at 0.1X for copy number analyses, and RNA-seq of tumour tissue at 40X coverage (>15 million reads). Whole-exome libraries were prepared using the Nextera Rapid Capture Exome Kit; exome capture was performed in pools of 3 and subjected to paired end 75 sequencing on a HiSEQ4000 platform. RNA libraries were prepared using the TruSeq Stranded Total RNA HT kit with Ribo-Zero Gold as per manufacturer’s instructions and also subjected to paired end 75 sequencing on a HiSEQ4000 platform. Uploaded bam files have been mapped to the hs37d5 human genome and processed using the standard GATK pipelines. Paired clinical, demographic, genotyping, and overall survival data for these patients are available from the associated publications or by request.

  Dataset EGAD00001006399

• MATISSE bulk RNA-sequencing data

  Tumor availability: Bulk RNA sequencing was performed on tumor biopsies of 48 patients at baseline and 45 patients across time points (baseline n=48, week 1 n=38, week 2 n=34, week 4 n=37), including lymph node metastasis that were sequenced in addition to the primary tumor. Tumor RNA was extracted from formalin-fixed paraffin-embedded (FFPE) primary tumor and lymph node metastasis sections containing at least 10% viable tumor cells present in the sample, except for on-treatment samples with a complete pathological response in which we isolated samples with at least 10% immune-infiltration with no viable tumor cells. A pathologist (LS) scored the tumor percentage and indicated the most tumor-dense region on a hematoxylin and eosin (H&E) stain slide for subsequent RNA isolation. According to the manufacturer's protocol, five to 10 FFPE slides (10 µm) were used for RNA isolation using the AllPrep DNA/RNA FFPE isolation kit (Qiagen, 80234) and the QIAcube. Genetic Diagnostics and Sequencing Services (CeGaT) performed RNA sequencing in Germany. Data processing: Demultiplexing of the sequencing reads was performed with Illumina bcl2fastq (v2.20). Adapters of the reads (Pico v2 SMART adapter, first three nucleotides of the second sequencing read) were trimmed with Skewer (v0.2.2), without quality trimming. RNA-sequencing data was aligned to GRCh38 (Ensembl v109) using STAR (v2.7.9) in 2-pass mode with default settings. Gene counts were generated with the HTSeq (v2.0.2). FastQC (v0.12.1) and MultiQC (v1.14) were used for assessing data quality, on FASTQ files and intermediate processing steps.

  Dataset EGAD50000001470

• Raw sequencing data from chromosome conformation capture, RNA sequencing and chromatin assays in human primary monocytes

  This dataset contains raw sequencing data from eQTL Capture Hi-C, ATAC-seq and RNA-seq experiments in monocytes isolated from 34 healthy male donors, as well as from Hi-C, 4C-seq and CTCF ChIP-seq in subsets of individuals. The data are released as paired-end Illumina FASTQ files. Hi-C and Capture Hi-C used DpnII digestion and Tn5-based low-input library preparation. In Capture Hi-C, this was followed by targeted capture with custom-designed biotinylated RNA probes targeting ~1100 eQTL regions. ATAC-seq was performed on PFA-fixed cells using a digitonin-based protocol. 4C-seq and CTCF ChIP-seq were performed using standard protocols.

  Dataset EGAD50000001116

• Single-cell RNA and TCR sequencing of CSF cells and PBMCs from individuals with neurological disorders

  We performed single-cell RNA sequencing combined with T-cell receptor sequencing to characterize immune cells from cerebrospinal fluid (CSF) and peripheral blood mononuclear cells (PBMCs) of patients with multiple sclerosis and individuals with other inflammatory neurological diseases used as controls. The aim of this study was to identify and characterize T cells with TCRs shared among people with MS and enriched in the CSF compartment.

  Study EGAS50000001897

• RNAseq of paired FL and tFL samples

  This dataset contains RNA profiling of paired FL and tFL samples (n=11 pairs) sequenced by Illumina NextSeq500 instrument. Libraries used in this mRNA-seq dataset were prepared with QuantSeq FWD library preparation kit (Lexogen, Catalog Number: 015) with the addition of UMI module. RNAs used for library preparation were isolated from FFPE tissues using ALLPREP RNA/DNA FFPE kit (QIAGEN,Catalog number: 80234). Data are uploaded as FASTQ format.

  Dataset EGAD50000001384

• Single-cell RNA-seq Libraries via 10x Genomics and Illumina NovaSeq

  This dataset contains single-cell RNA-seq libraries prepared using the Chromium Single Cell 5' Library & Gel Bead Kit v1.1 (10x Genomics). Cells were partitioned into nanoliter-scale GEMs for barcoding and reverse transcription, followed by amplification and purification of cDNAs. Libraries were sequenced on an Illumina NovaSeq 6000 using 150 bp paired-end reads, ensuring high-resolution transcriptomic profiling.

  Dataset EGAD50000001680

• Processed miRNA Counts for the miRNA Profiling from Indian HFrEF Cohort Dataset

  This dataset contains processed miRNA count data for the 49 Heart Failure samples profiled by miRNAseq for the Indian HFrEF Cohort from the study Integrated Transcriptomic and Regulatory RNA Profiling Reflects Complex Pathophysiology and Uncovers a Conserved Gene Signature in End Stage Heart Failure RNA-Seq data.

  Dataset EGAD50000001195

• RNA seq samples

  Dataset contains 12 RNA-Seq samples sequenced on the Illumina NextSeq500 sequencer. 6 samples are controls (D1-Tact-Plasma,D2-Tact-Plasma,D3-Tact-Plasma,D1-TUnstim-Plasma,D2-TUnstim-Plasma,D3-TUnstim-Plasma) 6 samples are case (D1-Tact-SF,D2-Tact-SF,D3-Tact-SF,D1-TUnstim-SF,D2-TUnstim-SF,D3-TUnstim-SF)

  Dataset EGAD50000001189

• RNA-seq (raw fastq files)

  RNA-seq data from lumbar spinal cord blocks from 10 ALS samples and Controls. Raw fastq files are provided in this dataset.

  Dataset EGAD50000000833

• CRC cell line RNA-seq

  RNA-Seq data for C32, CACO2, CL11, HT29, SW403, SW948 MSS CRC cell lines and HCEC-1CT normal colon cell line

  Dataset EGAD50000000297

• RNA-seq of STIC lesions and adjacent normal samples

  In this study, we characterize premalignant lesions of the fallopian tube (serous tubal intraepithelial carcinomas) to explore the earliest events of tumorigenesis following mutation of the TP53 tumor suppressor gene. We conduct laser capture microdissection to isolate premalignant cells from adjacent normal cells, and subject isolated tissues to RNA-seq. Our findings reveal the earliest transcriptional changes established during premalignancy within the fallopian tube.

  Dataset EGAD50000000289

• FFPE cohort with RNA-seq data of tumor samples

  This dataset contains RNA-seq raw data in fastq format from 14 tumor samples. The samples are from primary tumors or metastasis and represent various cancer entities. The samples are formalin-fixed paraffin-embedded (FFPE) treated. For target enrichment SureSelect XT Human All Exon V6 was used. The libraries were sequenced in paired-end mode (2 x 50 nt) on a NovaSeq6000 S2 flow cell.

  Dataset EGAD00001006781

• RNA-seq dataset: Short-term fasting before living kidney donation has an immune-modulatory effect

  This dataset contains 13 RNA-seq samples in CRAM format, generated using the Illumina NovaSeq 6000 platform. The Roche_mRNA_UniversalAdapterUniquePrime protocol was used for library preparation. The aim of the study is to determine the effect of Short-Term Fasting on the abundance and phenotype of different immune cell populations.

  Dataset EGAD00001015472

• RNA-seq dataset of Oncogenic and immunological targets for matched therapy of pediatric blood cancer patients: Dutch iTHER study experience

  RNA-seq dataset of Oncogenic and immunological targets for matched therapy of pediatric blood cancer patients: Dutch iTHER study experience

  Dataset EGAD00001015639

• Genomic Profiling of Advanced Pancreatic Cancer to inform therapy - RNA-Seq unmapped reads

  Genomics-Driven Precision Medicine for Advanced Pancreatic Cancer - Early Results from the COMPASS Trial - RNA-Seq unmapped reads

  Dataset EGAD00001003582

• RNAseq of 76 samples from Uveal Melanoma tumors

  Hotspot mutations in the spliceosome gene SF3B1 are reported in 20% of uveal melanomas. SF3B1 is involved in 3'-splice site (3'ss) recognition during RNA splicing; however, the molecular mechanisms of its mutation have remained unclear. Here we show, using RNA-Seq analyses of uveal melanoma, that the SF3B1 R625/K666 mutation results in deregulated splicing at a subset of junctions, mostly by the use of alternative 3'ss.

  Dataset EGAD00001004398

• Circular RNA characterization in functionally distinct brain regions

  RNA extracted from middle temporal gyrus (MG) brain region of healthy elderly controls. Three pairs of samples were generated, each pair consisting of one sample that was enriched for circular RNAs using RNase R, and a second sample that was not enriched (total N=6). Remaining samples in the study from other functionally distinct brain regions are currently under process and will be released soon.

  Dataset EGAD00001004211

• FASTQ files of the RNA-Seq data for the study "Genomic landscape of lung adenocarcinoma in East Asians"

  FASTQ files of the RNA-Seq data for both the normal and tumor samples for the study "Genomic landscape of lung adenocarcinoma in East Asians". For raw read count data as well as other metadata, please download from https://src.gisapps.org/OncoSG_public/study/summary?id=GIS031 by clicking the download icon next to the dataset title.

  Dataset EGAD00001004421

• PanCurX Translational Research Initiative - RNA-Seq mapped and unmapped reads

  Integration of Genomic and Transcriptional Features in Pancreatic Cancer Reveals Increased Cell Cycle Progression in Metastases - RNA-Seq mapped and unmapped reads

  Dataset EGAD00001004548

• BLUEPRINT release August 2015, RNA-Seq for Leukemia, on genome GRCh38

  RNA-Seq data for 1 Leukemia sample(s). 1 run(s), 1 experiment(s), 1 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001551

• BLUEPRINT release August 2015, RNA-Seq for common lymphoid progenitor, on genome GRCh38

  RNA-Seq data for 5 common lymphoid progenitor sample(s). 20 run(s), 5 experiment(s), 5 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001558

• BLUEPRINT release August 2015, RNA-Seq for common myeloid progenitor, on genome GRCh38

  RNA-Seq data for 3 common myeloid progenitor sample(s). 3 run(s), 3 experiment(s), 3 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001538

• BLUEPRINT release August 2015, RNA-Seq for hematopoietic multipotent progenitor cell, on genome GRCh38

  RNA-Seq data for 3 hematopoietic multipotent progenitor cell sample(s). 9 run(s), 3 experiment(s), 3 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001561

• BLUEPRINT release January 2015, RNA-Seq for Leukemia

  RNA-Seq data for 1 Leukemia sample(s). 1 run(s), 1 experiment(s), 1 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_rnaseq_analysis_crg_20140811

  Dataset EGAD00001001178

• BLUEPRINT release January 2015, RNA-Seq for Acute promyelocytic leukemia

  RNA-Seq data for 7 Acute promyelocytic leukemia sample(s). 7 run(s), 7 experiment(s), 7 alignment(s). Part of BLUEPRINT release January 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20140811/homo_sapiens/README_rnaseq_analysis_crg_20140811

  Dataset EGAD00001001181

• BLUEPRINT release August 2015, RNA-Seq for megakaryocyte-erythroid progenitor cell, on genome GRCh38

  RNA-Seq data for 4 megakaryocyte-erythroid progenitor cell sample(s). 4 run(s), 4 experiment(s), 4 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001492

• BLUEPRINT release August 2015, RNA-Seq for granulocyte monocyte progenitor cell, on genome GRCh38

  RNA-Seq data for 3 granulocyte monocyte progenitor cell sample(s). 3 run(s), 3 experiment(s), 3 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001501

• BLUEPRINT release August 2015, RNA-Seq for hematopoietic stem cell, on genome GRCh38

  RNA-Seq data for 6 hematopoietic stem cell sample(s). 13 run(s), 6 experiment(s), 6 alignment(s) on human genome GRCh38. Part of BLUEPRINT release August 2015. Analysis documentation available at http://ftp.ebi.ac.uk/pub/databases/blueprint/releases/20150820/homo_sapiens/README_rnaseq_analysis_crg_20150820

  Dataset EGAD00001001515

• BLUEPRINT release August 2014, RNA-Seq for macrophage

  RNA-Seq data for 1 macrophage sample(s). 1 run(s), 1 experiment(s), 1 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_rnaseq_analysis_crg_20140811

  Dataset EGAD00001000933

• BLUEPRINT release August 2016, RNA-Seq for megakaryocyte-erythroid progenitor cell, on genome GRCh38

  RNA-Seq data for 4 megakaryocyte-erythroid progenitor cell sample(s). 4 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002433

• BLUEPRINT release August 2016, RNA-Seq for hematopoietic stem cell, on genome GRCh38

  RNA-Seq data for 6 hematopoietic stem cell sample(s). 13 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002316

• BLUEPRINT release August 2016, RNA-Seq for granulocyte monocyte progenitor cell, on genome GRCh38

  RNA-Seq data for 3 granulocyte monocyte progenitor cell 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002306

• BLUEPRINT release August 2016, RNA-Seq for common myeloid progenitor, on genome GRCh38

  RNA-Seq data for 3 common myeloid progenitor 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002478

• BLUEPRINT release August 2016, RNA-Seq for common lymphoid progenitor, on genome GRCh38

  RNA-Seq data for 5 common lymphoid progenitor sample(s). 20 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002489

• BLUEPRINT release August 2016, RNA-Seq for hematopoietic multipotent progenitor cell, on genome GRCh38

  RNA-Seq data for 3 hematopoietic multipotent progenitor cell sample(s). 9 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_rnaseq_analysis_crg_20160816

  Dataset EGAD00001002363

• RNA-seq of human glioblastoma and matched gliomasphere cell lines (BLN panel)

  This dataset contains all RNA-seq runs for the BLN panel of cell lines and matched parental tumors. Tumor/cell line pairs have been authenticated using SNP profiles and all pairs were confirmed. Please note: The dataset also contains raw data from an early primary culture (BLN-1) where no stable cell line could be generated. Please also note different reference genomes.

  Dataset EGAD00001002893

• RNA-seq from PDAC samples

  Bam and fastq files from RNA-seq of PDAC samples described in Transcription phenotypes of pancreatic cancer are driven by genomic events events during tumour evolution

  Dataset EGAD00001005799

• Transcriptomic response of miRNAs of monocytes to bacterial and viral stimuli assessed by RNA-seq in Africans and Europeans

  The dataset includes raw RNA-seq data (fastq files) for miRNAs of monocytes before and after 6-hour exposure to four different immune stimuli, measured in 200 African- and European-descent healthy donors from Belgium. The stimuli include ligands for TLR4 (LPS), TLR1/2 (Pam3CSK4) and TLR7/8 (R848) and to a human seasonal influenza A virus (IAV).

  Dataset EGAD00001006181

• Cancer RNA-seq consisting of FASTQ paired-end reads from melanoma and lung cancer sample

  Cancer RNA-seq consisting of FASTQ paired-end reads from 6 individuals (4 melanoma, 1 lung cancer). RNASEQ was performed on illumina, Truseq capture kit, 40M-80M clusters. 2 Melanoma datasets contain reads from 1 tumor region and from a tumor derived cell line 2 Melanoma, 1 Colon and 1 lung datasets contain each reads from a single region.

  Dataset EGAD00001007951

• Acute myeloid leukemia single cell RNA-seq (Diagnosis and Relapse)

  To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed single-cell RNA-seq (SORT-seq) to longitudinally profile two t(8;21) (AML1-ETO = RUNX1-RUNX1T1), and four FLT3-ITD AML cases. All the samples are Bone marrow aspirates.

  Dataset EGAD00001008373

• TSGKO_RNASeq

  Libraries were prepared from RNA-extracted cell lines using Illumina RNA library prep kit. Samples were sequenced on Illumina HiSeq 4000 or HiSeq 2500.

  Dataset EGAD00001008559