7188 results for "({!join from=dataset_studies to=id v=$q1}) OR ("transcriptome" OR "RNA-seq" OR "rna sequencing" OR "rna-sequencing")"

in 42.34 milliseconds.

• Genentech gallbladder cancer study - RNA-seq

  Genentech gallbladder cancer study - RNA-seq

  Dataset EGAD00001004854

• Bulk RNA-seq osteosarcoma

  We profiled 23 patient osteosarcoma tumor samples by bulk RNA-seq. The raw fastqs are provided.

  Dataset EGAD00001011371

• Ovarian cancer EV RNA-seq

  Ovarian cancer EV RNA-seq

  Dataset EGAD00001008972

• RNA-Seq dataset

  10 RNA-Seq bam files including 4 cases with fusion and 6 controls without fusion.

  Dataset EGAD00001004360

• Dataset for RNA sequencing of Glioblastoma samples

  This dataset contains 10x scRNA sequencing of glioblastoma samples. Sequencing was performed on a Illumina HiSeq 4000. The sequencing was always paired.

  Dataset EGAD50000000081

• De novo metastatic prostate cancer cohort

  Fastq files from RNA sequencing of normal and tumor samples from 16 patients from the de novo metastatic prostate cancer cohort.

  Dataset EGAD50000002381

• Alveolar Rhabdomyosarcoma sequencing data

  This dataset comprises DNA sequencing for tumor and matched normal from an Alveolar Rhabdomyosarcoma patient. It also include RNA sequencing data from the tumor sample.

  Dataset EGAD00001006622

• Single cell targeted RNA sequencing

  Single cell hybrid-capture targeted sequencing of CD19 CAR T-cell infusion products used for standard of care treatment for relapsed/refractory large B-cell lymphoma.

  Dataset EGAD00001006327

• Dataset for RNA PCNSL

  RNA sequencing of 19 samples from PCNSL tumors. Sequencing was performed on a HiSeq X Ten using Illumina TruSeq Stranded mRNA Kit. Sequencing was always paired.

  Dataset EGAD00001011119

• Single cell RNA sequencing of human umbilical cord blood lymphoid progenitors

  We performed single cell RNA sequencing of human umbilical cord blood. To explore the differentiation pathway for human lymphoid lineage deeply, our target cells contain CD34+CD38+CD45RA+CD19-CD7-CD10+ cells (CD10SP). All these populations are evaluated by single cell RNA sequencing.

  Study JGAS000551

• Exome reads and RNA-seq

  Exome sequencing for 26 patients with matched blood RNA-seq for 41 patients

  Dataset EGAD00001002722

• GCLJ RNA-Seq data

  RNA-Seq data from 6 Giant Cell Lesions of the Jaw (GCLJ) samples.

  Dataset EGAD00001004320

• nccRCC RNA-Seq data of consented samples

  nccRCC RNA-Seq data of consented samples

  Dataset EGAD00001001022

• Single-cell Transcriptome for glioblastoma intra-tumoral heterogeneity

  Single-Cell RNA Sequencing of 355 cells isolated from 7 tissue fragments of 3 patients corresponding to locally adjacent tumor, multifocal with recurrence and sections segregated by a marker of tumor cellularity (5-ALA).

  Dataset EGAD00001002249

• ICR_RNASeq_pHGG

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

  Dataset EGAD00001004116

• RaScALL: Rapid screening of RNA-seq in acute lymphoblastic leukaemia

  RNA-sequencing (RNA-seq) efforts in acute lymphoblastic leukaemia (ALL) have identified numerous prognostically significant genomic alterations which can guide diagnostic risk stratification and treatment choices when detected early. However, a full RNA-seq Bioinformatics workflow is time-consuming and costly in a clinical setting where rapid detection and accurate reporting of clinically relevant alterations are essential. To accelerate the identification of ALL-specific alterations (including gene fusions, single nucleotide variants and focal gene deletions), we developed the rapid screening tool RaScALL, capable of identifying more than 100 prognostically significant lesions directly from raw sequencing reads. RaScALL uses the k-mer based targeted detection tool km and known ALL variant information to achieve a high degree of accuracy for reporting subtype defining genomic alterations compared to standard alignment-based pipelines. Gene fusions, including difficult to detect fusions involving EPOR and DUX4, were accurately identified in 98% (164 samples) of reported cases in a 180-patient Australian study cohort and 95% (n=63) of samples in a North American validation cohort. Pathogenic sequence variants were correctly identified in 75% of tested samples, including all cases involving subtype defining variants PAX5 p.P80R (n=12) and IKZF1 p.N159Y (n=4). Accurate detection of intragenic IKZF1 deletions resulting in aberrant transcript isoforms was also detectable with 98% accuracy. Importantly, the median analysis time for detection of all targeted alterations averaged 22 minutes per sample, significantly shorter than standard alignment-based approaches, ensuring accerelated risk-stratification and therapeutic triage.

  Study EGAS00001006460

• Oncogenic cooperation between the TCF7-SPI1 fusion and NRAS(G12D) requires β-catenin activity to drive T-cell acute lymphoblastic leukemia.

  In this study we investigate the role of TCF7-SPI1 fusions, more specifically in cooperation with RAS mutations. We make use of patients samples. This study contains paired-end RNA sequencing of the patients, Oxford Nanopore Technologies (ONT) sequencing, single cell RNA sequencing and RNA sequencing of treatment with inhibitors of these samples.

  Study EGAS00001005097

• Development of hunanized mice for human hematopoisis and immunity research

  We obtained peripheral blood or bone marrow samples from 112 acute myeloid leukemia patients and examined sensitivity and resistance of the AML samples to molecular targeting drugs. By doing RNA sequencing using AML cells, we found heterogenous gene expression patterns in AML with different mutational landscapes. From the RNA sequencing, we identified anti-apoptosis, cell cycle progression, and immune-related signals as pathways up-regulated in AML cells as compared with normal CD34+ cells. From the pathway analyses, we further setup in vitro experiments to find vulnerability genes in clinically-aggressive AML. BIRC, BCL2, MCL1, AURKB, and KIF10 may be essential molecules for AML cell survival and proliferation.

  Study JGAS000253

• Raw RNA sequencing of hepatoblastoma PDX cell line HB-303-LEF

  Raw RNA sequencing of hepatoblastoma PDX cell line HB-303-LEF

  Study EGAS50000000928

• RNA sequencing of pretreatment, on-treatment and posttreatment gastric and gastroesophageal junction tumors treated with neoadjuvant anti-PD-L1 plus chemotherapy

  This set contains a total of 78 files cram files with RNA sequencing data from 20 patients included in the PANDA study treated with 1 cycle of monotherapy atezolizumab and 4 cycles atezolizumab plus chemotherapy (docetaxel, oxaliplatin and capecitabine). RNA was isolated from fresh frozen material and sequenced at 4 timepoints baseline, after monotherapy atezolizumab, after combination atezolizumab plus chemotherapy and at resection (due to 2 missing samples, there is a total of 78 samples).

  Dataset EGAD50000000241

• Transcriptomic analysis of hiPSC-derived vascular cells from CADASIL and isogenic control patient lines

  Bulk-RNA sequencing from hiPSC-derived cells (hiPSC; Endothelial Cells; Neural Crests Cells; Vascular Smooth Muscle Cells) from CADASIL patient lines (n=3) and respective isogenic-controls (n=3). CADASIL is a hereditary brain small vessel disease caused by pathogenic variants in the NOTCH3 gene, which lead to deposits of NOTCH3 protein in the walls of small arteries. This causes pathological vessel wall changes including degeneration of vascular smooth muscle cells. To investigate the impact of pathogenic NOTCH3 variants in hiPSC and differentiated cells we performed a bulk-RNA sequencing.

  Dataset EGAD50000002181

• Hypothalamic transcriptome in Prader-Willi syndrome

  Transcriptional analysis of brain tissue from people with molecularly defined causes of obesity may highlight novel disease mechanisms and therapeutic targets. Prader-Willi syndrome (PWS) is a genetic obesity syndrome characterised by severe hyperphagia. We performed RNA sequencing of the hypothalamus from 4 individuals with PWS and 4 age-matched controls.

  Study EGAS00001002901

• 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

• Facioscapulohumeral dystrophy transcriptome signatures correlate with different stages of disease and are marked by different MRI biomarkers

  This project includes RNA-sequencing data from human FSHD and control skeletal muscle biopsies. This project includes data from 28 FSHD patients (total 37 samples, including vastus lateralis and tibialis anterior muscles) and 12 control individuals (total 24 samples, including vastus lateralis and tibialis anterior muscles).

  Study EGAS00001005782

• 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

• snRNA-seq schizophrenia control Prefrontal cortex

  In this study, we performed RNA sequencing of single nuclei from the prefrontal cortex of donors with and without schizophrenia using the 10x Genomics Chromium Single Cell protocol. The project rationale is to determine cell type specific transcriptomic changes between the two groups and linking them to the risk for schizophrenia.

  Study EGAS50000001703

• SF12264 snRNA-Seq Primary GBM

  Single Nuclei RNA-Seq Primary GBM. Gender Female Age 51. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005410

• RNA-seq of SMARCA2/4 knock-down prostate cancer cell lines

  RNA-seq of SMARCA2/4 knock-down prostate cancer cell lines (LNCaP and 22Rv1, 15 samples altogether). Dataset contains BAM files from RNA-seq performed using Illumina HiSeq 2500.

  Dataset EGAD00001005800

• Human adipocyte bulk RNA-seq dataset

  The dataset contains raw RNA-seq data of human adipocytes from 13 individuals.

  Dataset EGAD00001008335

• RNA-seq for IgA BMPC project

  7 RNA-seq samples in total: CD19n_IgAn (x2) , CD19n_IgAp (x2) , CD19p_IgAn (x1), CD19p_IgAp (x2)

  Dataset EGAD00001006862

• Single cell and plasma RNA sequencing

  Single cell and plasma RNA sequencing for RNA liquid biopsy for hepatocellular carcinoma

  Study EGAS00001005194

• Single-cell RNA sequencing of sorted regulatory T cells

  Single-cell RNA sequencing of flow cytometry enriched CD4+ CD127- CD25+ regulatory T cells from 8 systemic lupus erythematosus patients (SLE_001 to SLE_007, and SLE_009) 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 (incl. generation of TCR libraries). Samples from patients SLE_001, SLE_002, SLE_004, SLE_006 were collected and processed on the first day of experiment (Day 1), and samples from patients SLE_003, SLE_005, SLE_007, SLE_009 on the second day of experiment (Day 2). On each day, samples were pooled and distributed to four lanes on the chromium controller. Run ID 245269 and ID 245270 identify samples sequenced on separate flow cells. Provided are raw sequencing files.

  Dataset EGAD50000000663

• RNA-seq of BCR-ABL1 lymphoblastic leukemia

  This dataset is derived from whole-transcriptome sequencing (RNA-seq) of RNA from 57 BCR-ABL1 lymphoblastic leukemias (53 diagnostic, 4 relapse).

  Dataset EGAD00001010307

• 10X single-nuclei RNA sequencing

  Single-nuclei sequencing data from four neuroblastoma patients. Each patient was run on two lanes, resulting in two runs per patient. Data is provided in paired-end fastq files.

  Dataset EGAD50000000727

• Long-read RNA sequencing of human normal liver organoid with or without SF3B4 overexpression

  Project aims to find alternative splicing events and resulting transcript isoforms modulated by SF3B4

  Study EGAS50000000849

• Hypoxia and plasma treatment of glioblastoma organoids

  RNA sequencing of organoids derived from human glioblastoma subject to hypoxia, plasma, or a combination of both for 72h, sampled at 0, 24, 72, and 144h.

  Dataset EGAD50000002081

• Star-based RNA count files

  To ellucidate gene activity in mRCC, RNA Sequencing data was generated as part of the EuroTarget study. Star aligner 2.7 was used to generate count files

  Dataset EGAD50000002296

• Gene expression associated with Klinefelter syndrome

  RNA-sequencing profiling of leucocytes from peripheral blood samples from 9 KS patients, 9 control males and 13 female controls

  Dataset EGAD00001010078

• The Extracellular RNA Quality Control (exRNAQC) study (phase 1)

  mRNA capture sequencing and small RNA sequencing data (FASTQ files) of the exRNAQC study phase 1.

  Dataset EGAD00001007697

• PrevANZ RNAseq dataset

  Whole blood samples collected at baseline and week 12 in PAXgene Blood RNA tubes. RNA sequencing on the Illumina NovaSeq 6000 System generated 150 base pair length paired end reads.

  Dataset EGAD00001011069

• Infiltrative and drug-resistant slow-cycling cells support metabolic heterogeneity in glioblastoma

  Glioblastoma patient derived Fast/Slow cycling cancer stem cell RNA sequencing. Consists of 3 patient cell lines and 6 files

  Dataset EGAD00001004380

• RNA sequencing of undifferentiated sarcomas

  mRNA sequencing of 50 undifferentiated sarcoma tumour samples and 5 adjacent muscle tissue samples. BAM files are provided, with metadata specifying which samples are tumour/normal.

  Dataset EGAD00001004439

• Single-cell RNA-seq cases

  Single-cell RNA-seq cases (Tumor and adjacent tissue)

  Dataset EGAD00001008835

• RNA-Seq and small RNA-Seq of tuberous sclerosis complex cortical tubers and age-matched controls.

  This dataset contains both standard RNA-Seq and small RNA-Seq of TSC related cortical tubers and age matched cortical controls. For the standard RNA-Seq paired-end sequencing was carried out. Each sample was split across multiple lanes. For the files available here the multiple lanes have been merged together, resulting in one forward and one reverse .fastq file for each sample. Small RNA-Seq was carried out on the same samples that underwent standard RNA-Seq. Again paired-end sequencing was carried out. The files here are raw and will need to be undergo quality control and trimming.

  Dataset EGAD00001003444

• RNA sequencing of 12 NSCLC samples from 4 patients at MDACC

  Multi-region RNA sequencing of 12 NSCLC samples from 4 patients at MDACC

  Study EGAS00001005951

• Whole exome RNA sequencing of FFPE material from 49 pediatric BCP-LBL patients.

  This study contain the results of whole exome-targeted transcriptome analyses of FFPE material from 49 pediatric B-cell precursor lymphoblastic lymphoma patients. Data are provided as Fastq files.

  Study EGAS50000000289

• Transcriptome sequencing of Gingivo-buccal Cancer - ICGC India Project YR03

  This dataset pertains to transcriptome sequencing of paired RNA samples.RNA was isolated from the tumor and adjacent normal tissues of 12 patients (24 samples). We have performed rRNA removal followed by total RNA sequencing in Illumina HiSeq platform.We have uploaded TopHat2 aligned BAM files.

  Dataset EGAD00001003981

• Single cell RNA sequencing of human cord Blood CD34 Cells

  We performed single cell RNA sequencing and ATAC e valuation of human umbilical cord blood. To explore the differentiation pathway for human lymphoid lineage, our target cells contain CD34-positive cord blood. That population is evaluated by single cell RNA sequencing and single cell ATAC.

  Study JGAS000528

• Bulk RNA-seq

  This RNA-seq dataset comprises 57 samples, from which the proportions of immune cell fractions were estimated using CIBERSORTx.

  Dataset EGAD50000001797

• RNA-Seq Medulloblastoma data

  RNA-Seq data from 12 medulloblastoma samples, all group 4 medulloblastomas. The data consists of BAM files aligned using STAR

  Dataset EGAD00001010850

• Single-cell RNA-sequencing of a multi-region pleural mesothelioma case

  Single-cell RNA-sequencing from three distant regions of an epithelioid pleural mesothelioma case.

  Study EGAS00001008062

• SF10127 snRNA-Seq Primary GBM

  Single Nuclei RNA Seq of primary GBM. Gender Female Age 44. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference

  Dataset EGAD00001005403

• SF4297 snRNA-Seq Primary GBM

  Single Nuclei RNA-Seq Primary High-grade Glioma. Gender male age 39. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference

  Dataset EGAD00001005415

• SF4400 snRNA-Seq Primary GBM

  Single Nuclei RNA-Seq Primary High-grade Glioma. Gender Female Age 51. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference

  Dataset EGAD00001005399

• SF9259R snRNA-Seq Primary GBM

  Single Nuclei RNA-Seq Primary High-grade Glioma. Gender Male Age 73. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005401

• SF6996 snRNA-Seq Primary GBM

  Single Nuclei RNA-Seq Primary High-grade Glioma. Gender Female age 40. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005402

• RNA-seq of Shprintzen-Goldberg syndrome dermal fibroblasts

  RNA-seq of dermal fibroblasts treated ± TGF-β from control and Shprintzen-Goldberg syndrome patients.

  Dataset EGAD00001006801

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

  Dataset contains 46 paired-end RNA-seq samples from 3 patients.

  Dataset EGAD00001010290

• JAGuaR outputs from RNA-seq

  JAGuaR outputs from RNA-seq of 35 pancreatic neuroendocrine neoplasms.

  Dataset EGAD00001006990

• RNA-seq from human embryonic tissues (pancreas_2, tongue_2)

  Additional unpublished RNA-seq data generated in conjunction with our mulit-tissue ChiP-seq project.

  Dataset EGAD00001005115

• McGill EMC Release 4 for assay "RNA-seq"

  McGill EMC Release 4 for assay "RNA-seq": Transcriptome profiling by high-throughput sequencing

  Dataset EGAD00001001290

• MS meninges single nuclei RNA sequencing

  10X 3' (RNA) samples of isolated single nuclei from highly inflamed leptomeninges and adjacent grey matter from 3 MS patients used in the paper.

  Dataset EGAD50000001235

• Long-read RNA-sequencing of three adult human neural retina samples for 17 lncRNA loci.

  Long-read direct cDNA sequencing (Oxford Nanopore Technologies) of three independent post-mortem human retina samples of 17 lncRNA loci.

  Dataset EGAD50000001402

• Hypoxia acts as an environmental cue for the human TRM differentiation program

  Dataset consists of 19 bam files from RNA sequencing experiments batch1 and batch2.

  Dataset EGAD00001007692

• RNA Sequencing of human fetal brain (FBSeq)

  FastQ files with paired-end RNAseq data for human fetal brain homogenate from 120 samples (12-19 post-conception weeks).

  Dataset EGAD00001004363

• RNA-seq of PDAC patient-derived xenograft tumors

  This dataset contains single cell RNA-seq data of stromal cells derived from two PDX models (N = 2 in total) and bulk RNA-seq data of two PDX models treated with gemcitabine and our novel antibody-drug conjugate, C6-EBET (N = 59 in total). Bulk RNA-seq experiments were performed with Agilent SureSelect Strand Specific RNA Library Prep Kit (Agilent). Single cell RNA-seq experiments were performed with Chromium Single Cell 3' Reagent Kits v2 Chemistry (10x Genomics).

  Dataset EGAD00001010130

• Bulk RNA-Seq

  Human data for transcriptome (bulk RNA-Seq) in eight B-cell precursors: HSC, CLP, pro-B, pre-B, Immature B, Transitional B, Naive B CD5-, Naive B CD5+ cells

  Dataset EGAD00001010906

• Exome and RNA sequencing of Greenlanders

  This study contains whole exome sequence of 27 Greenlanders and deep RNA sequencing of 17 Greenlanders

  Study EGAS00001002727

• Characterizing the tumor immune microenvironment of ependymomas using targeted gene expression profiles and RNA-sequencing the pros and cons

  RNA sequencing data of a collection of 6 pediatric ependymoma cases

  Study EGAS00001006535

• Single Cell RNA-Seq

  Examination of Sample Multiplexing Reagents for Single Cell RNA-Seq. Nine techniques applied to samples from four PDX models: #105, #177, #233, #264

  Dataset EGAD50000000216

• Single nucleus RNA-seq of human epiglottis and subglottis

  This dataset contains single nucleus RNA-seq of human epiglottis and subglottis tissue performed using the 10X platform

  Dataset EGAD50000001279

• Bulk RNA-seq of Human Epiglottis and Subglottis

  This study contains bulk and single nucleus RNA-seq of human epiglottis and subglottis tissue.

  Dataset EGAD50000001278

• Glioblastoma stem cell lines RNA-seq

  RNA-seq data for three Glioblastoma stem cell (GSC) lines exposed to PRMT5 inhibitor and control samples.

  Dataset EGAD00001006095

• 7 samples RNA-seq raw data

  Dataset comprising raw paired RNA-seq data in fastq.gz format for 7 samples of rosette forming brain tumors

  Dataset EGAD00001009265

• RNA-seq of UTUC samples

  This dataset includes transcription profiling by RNA-seq of 3 upper urinary tract urothelial tumours (UTUC).

  Dataset EGAD00001008138

• RNA-seq data from sorted CML and normal samples

  RNA-seq data from sorted populations from 10 CML samples and 4 normal bone marrow samples.

  Dataset EGAD00001004079

• B Cell Lymphocytosis and Reprogramming due to a CARD11 Bi-Allelic Gain-of-Function Mutation

  This is a single-cell RNA sequencing (scRNA-seq) study using peripheral blood mononuclear cells (PBMC) from 2 healthy donors and 2 patients with B cell Expansion with NF-κB and T cell Anergy (BENTA). Samples were not hashed or multiplexed. The 10X Genomics Platform was used for sequencing. Principal findings include transcriptome changes due to mono- or bi-allelic mutations in the gene CARD11. FASTA files will be available through dbGaP.

  Study phs004115

• Bulk and RIP-seq transcriptome datasets from skin fibroblasts in PTBP1- and PTBP2-related disorders

  PTBP1- and PTBP2-related disorders are rare human conditions that cause variable neurodevelopmental phenotypes, including intellectual disability and behavioral problems such as autism spectrum disorder, anxiety, aggressiveness, and attention disorders, with or without hyperactivity. PTBP1-related disorder is also associated with skeletal dysplasia. In this study, we generated bulk RNA sequencing and RNA immunoprecipitation sequencing (RIP-seq) data from skin fibroblasts obtained from patients and healthy controls.

  Study EGAS50000001210

• Transcriptome analysis of Familial dysautonomia patient cells treated with splice-regulating compounds

  In order to investigate familial dysautonomia patient fibroblasts in response to splice-regulating compounds, cells were treated with RECTAS or TG003 and transcriptome study was conducted by RNA-seq. Splicing profiles of cells in each condition were then analyzed.

  Study JGAS000170

• MTLE small RNA-sequencing and RNA-sequencing Data Access Committee

  Dac EGAC00001001427

• SEGA RNA-sequencing and small RNA-sequencing Data Access Commitee

  Dac EGAC00001001467

• Resilience and Susceptibility Patterns in the Viral Immune Response Using RNA-Seq (ReSP VIRUS Study)

  This is a cross sectional study to investigate the relationship between nasal mucosa gene expression and clinical outcomes in infants with critical Respiratory Syncytial Virus (RSV) infection. We collected nasal mucosa samples from infants admitted to the pediatric intensive care unit with polymerase chain reaction confirmed RSV bronchiolitis. Samples were obtained by mucosal scrape biopsy of the inferior turbinate using a sterile plastic curette and bulk RNA-sequencing of mRNA was performed. Clinical data was extracted from the electronic health record including: demographics, medical history, duration of symptoms, time from admission to sample collection, hospital and intensive care unit length of stay, and type and duration of respiratory support.

  Study phs003053

• Single-cell RNA-seq data of the tumor microenvironment of lymphocyte-rich Hodgkin lymphoma and other Hodgkin lymphoma subtypes

  Lymphocyte-rich classic Hodgkin lymphoma (LR-CHL) is a rare subtype of Hodgkin lymphoma. Recent technical advances have allowed for the characterization of specific crosstalk mechanisms between malignant Hodgkin Reed-Sternberg (HRS) cells and different normal immune cells in the tumor microenvironment (TME) of CHL. However, the TME of LR-CHL has not yet been characterized at single cell resolution. Here, using single cell RNA sequencing, we examined the immune cell profile of 8 cell suspension samples of LR-CHL in comparison to 20 samples of the mixed cellularity (9 cases) and nodular sclerosis (11 cases) subtypes of CHL, as well as 5 reactive lymph node controls.

  Study EGAS00001005541

• Epigenetic profiling of colorectal cancer initiating cells (CC-ICs) and investigation of changes in transcriptome following EZH2 inhibition using RNA-seq.

  Epigenetic profiling of colorectal cancer initiating cells (CC-ICs) to identify bivalently marked genes (H3K4me3 and H3K27me3 ChIP-seq), and investigation of changes in transcriptome following EZH2 inhibition using RNA-seq.

  Dataset EGAD00001004133

• RNA-seq data for Heterogeneity of IKZF1 genomic alterations and risk of relapse in childhood BALL

  RNA-seq data for 14 samples with B-cell acute lymphoblastic leukemia

  Dataset EGAD50000000151

• Single-cell RNA-seq of Bone marrow samples

  For two donors, we collected CD34 plus and CD34 minus hematopoietic cells for the single-cell RNA-seq analysis.

  Dataset EGAD50000000514

• RNA-seq data for de-methylation of FOXP3-TSDR study

  22 RNA-seq samples of ex-vivo (TN and Treg), cultured Treg, TET1 and untreated mCherry-MOCK

  Dataset EGAD00001006865

• RNA-seq data for HCC patients from Y90+Nivolumab trial

  This dataset includes RNA-seq fastq files of pre-treatment and on-treatment samples from 28 patients

  Dataset EGAD00001010132

• RNA-Seq of tumors

  RNA-Seq on an Ion Torrent Proton of corresponding tumor material of two metastasized breast cancer patients (Breast7, Breast13).

  Dataset EGAD00001002216

• RNA-Seq Illumina GAII dataset

  RNA-Seq Illumina GAII dataset for the TraIT cell-line use case (added reverse and forward reads).

  Dataset EGAD00001001626

• SF11964 scRNA-Seq Low Grade Glioma IDHR132H mutant Male

  Single cell RNA-Seq Low Grade Astrocytoma IDHR132H mutant. Male, 64. Single Cell RNA seq from primary astrocytoma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference through Cellranger count (10xGenomics.)

  Dataset EGAD00001005396

• SF12090 snRNA-Seq IDHR132H Wild-type Primary GBM Male

  Single Nuclei RNA-Seq Primary IDHR132H Wild-type GBM. Male, 61. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference.

  Dataset EGAD00001005412

• SF11977 scRNA-Seq Primary GBM IDHR132H Wildtype Female

  SF11977 single cell RNA-seq IDHR132H Wild-type GBM Female, 61 Single Cell RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference through Cellranger count (10xGenomics.)

  Dataset EGAD00001005391

• SF10022 snRNA-Seq Primary High-grade Glioma

  SF10022 single nuclei RNA-Seq Primary High-grade glioma. gender Male Age 65. Single Nuclei RNA seq from high grade primary glioma sample. NovaSeq6000 was used for RNA seq. The files uploaded are bam files created with grch38 reference

  Dataset EGAD00001005409

• scRNA-seq of bulk and sorted NK

  Here we performed single-cell RNA sequencing to characterize NK cell subsets. Sorted NK cell subsets representing discrete stages of NK cell differentiation as well as bulk NK cells were sequenced.

  Dataset EGAD50000000020

• Triple-negative breast cancer sequencing data

  Single-cell RNA sequencing and spatial transcriptomic sequencing data associated with manuscript 'Ectopic NMDAR expression in cancer unmasks germline-encoded autoimmunity'

  Dataset EGAD50000002266

• The Extracellular RNA Quality Control (exRNAQC) study (phase 2)

  mRNA capture sequencing and small RNA sequencing data (FASTQ files) of the exRNAQC study phase 2 (interaction study)

  Dataset EGAD00001009724

• Sequencing of uveal melanoma metastases

  Whole genome, exome and RNA sequencing of uveal melanoma metastases, primary tumors and matched normal DNA.

  Dataset EGAD00001006031

• PD1-targeted delivery of an IL-2 variant induces a multifaceted anti-tumoral T cell response in human lung cancer

  To explore PD1-IL2v-specific effects on CD8 and CD4 T cells at a transcriptomic level, we performed single-cell RNA sequencing 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.

  Study EGAS50000000396

• Bulk RNA-sequencing datasets from Caco-2 cells under normal or inflamed conditions treated with 4HTBZ or vehicle.

  This dataset contains 4 bulk RNA sequencing files (.fastq.gz) and a metadata file (.csv) from Caco-2/TC7 intestinal epithelial cells under normal or inflamed conditions, followed by treatment with 4HTBZ or vehicle. The cDNA libraries were prepared with the QuantSeq 3′ mRNA-Seq Kit (Lexogen, Inc.) and sequenced on an Illumina HiSeq4000 system. The metadata file provides sample information (experimental condition and code identifier). Raw sequencing reads were quality-checked with FastQC, trimmed with Trimmomatic, and aligned to the human reference genome (GRCh38) using HISAT2.

  Dataset EGAD50000001759