23014 results for "ega"

in 32.89 milliseconds.

• WGS data of paediatric T-ALL acute lymphoblastic leukemia (set2)

  The dataset includes FASTQ and CRAM files from diagnostic and matched remission (control) samples of one T-ALL patient (ALLK-118), and relapse (from BM and tonsil) and matched remission (control) samples of another T-ALL sample (ALLT-317, tonsil relapse ALLT-3107L). Diagnostic sample of ALLT-317 in the first dataset in this submission. Sequencing library was made using PCR free-based WGS library preparation (PCR-), using NEBNext® Ultra™ II DNA Library Prep Kit (Cat No. E7645). Both diagnostic/relapse (90x) and remission (30x) samples were sequenced using Illumina Novaseq 6000.

  Dataset EGAD50000002014

• Dataset of 2485 CD8 T cells from non-muscle-invasive bladder cancer patients in context of BCG treatment

  FASTQ files from scRNAseq (smartseq2 protocol) from 2485 CD8 T cells from 4 non-muscle-invasive bladder cancer patients who received BCG treatment (induction treatment of 6 weekly instillations). Concerning the 'phenotype' column in metadata : pre-treatment samples include tumor samples ('Tumor') and normal adjacent bladder tissue ('Extratumor'). For post-treatment samples : no residual tumor was found in the bladder of the 4 patients after the BCG treatment . The post-treatment samples with 'Tumor' as phenotype denote samples from macroscopically suspect zones, but with microscopically no tumor detected.

  Dataset EGAD50000002007

• Bulk RNA and ATACseq of 2 XLP patients and 5-6 HD

  The dataset contains five samples from P1, one pre-HSCT and four post-HSCT, one sample from P2 and 5-6 HD. RNAseq reads were processed using the LUMC BIOWDL RNAseq pipeline v5.0.0 (https://github.com/biowdl/RNA-seq). Genes with log2CPM≥1 in at least 10% of all samples were retained for downstream analysis. Differential gene expression analysis was performed using the dgeAnalysis R-Shiny application (https://github.com/LUMC/dgeAnalysis/tree/v1.4.4). ATACseq reads were processed using the LUMC BIOWDL Chipseq pipeline 1.0.0-dev (https://github.com/biowdl/ChIP-seq).

  Dataset EGAD50000002072

• Dataset of scRNAseq from 56 CRC, treatment-naive and post-chemotherapy

  The dataset includes FASTQ source files of scRNA-seq for 56 CRC patients, sequenced with Illumina 10x platform. All patients were diagnosed with colorectal cancer between 2014 and 2022 at the Gustave Roussy Institute. Cohort includes 32 samples from untreated patients and 24 samples from patients who received chemotherapy. Chemotherapy included FOLFOX or FOLFIRI as first line, in some cases in combination with anti-VEGF or anti-EGRF drugs (avastin, bevacizumab or cetuximab) as the second and third lines. The post-treatment cohort included 18 responders (partial response, stable disease and complete response) and 6 progressors (progressive disease).

  Dataset EGAD50000001218

• PRO-SPeCT: PROstate cancer heterogeneity deconvolution through Single cell Profiling of Chromatin accessibility and Transcriptomic output

  38 prostate cancer specimens derived from five human patients with ISUP ≥ 3 pathology who underwent radical prostatectomy and pelvic lymph node dissection at surgery as part of the International Cancer Genome Consortium (ICGC) late-onset cohort. Using single-cell multiome (expression and chromatin accessibility from RNA and ATAC, respectively) sequencing assay, we characterized 282,956 nuclei/cells, with a median of 6 primary tumor foci from the prostate gland and 3 locoregional lymph node metastases across all patients.

  Dataset EGAD50000000745

• Single-cell RNA-seq profiling of patient derived organoids

  The aim of this study was to profile developement of resistance to cancer treatments using organoids. Two patient derived colorectal cancer organoids were profiled using single cell RNAseq after treatment with a combination of different anticancer drugs. The organoids were profiled both after 4 weeks of treatment and after a drug holiday of 2 weeks.

  Study EGAS50000001025

• single nuclei multiomics (ATAC-RNA) of KOLF2.1J human induced pluripotent stem cells-derived differentiated dopaminergic neurons

  We processed nuclei from hIPSCs differentiated optimized protocols for generating dopaminergic neurons. Cells differentiated with a first iteration were RNA and ATAC-sequenced, to understand our protocol caveats to address for optimization. Cells differentiated with a second protocol and in vivo were RNA-sequenced to validate the identities of our cells.

  Study EGAS50000001418

• Single-nuclei multiomic analysis of KOLF2.1J human induced pluripotent stem cells-derived differentiated dopaminergic neurons

  Datasets consists of 12 samples of nuclei from hIPSCs differentiated optimized protocols for generating dopaminergic neurons. 6 single nuclei (RNA-ATAC) samples of XMAS protocol with cells collected at days 0,11,16,28,42 and 56 after differentiation. 3 snRNA-seq samples from AMS protocol of cells collected at days 14,16 and 28 after differentiation and 3 snRNA-seq samples with AMS protocol until day 14 grafted and grafts processed after 5 months grafting.

  Dataset EGAD50000002054

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

  Single-cell RNA sequencing was performed on metastatic colorectal cancer (mCRC) organoids derived from a cetuximab-sensitive patient-derived xenograft (PDX) model. The objective of this analysis was to investigate, at single-cell resolution, the transcriptional changes previously identified in bulk RNA-seq analyses of PDX models exposed to anti-EGFR therapeutic pressure.

  Study EGAS50000001460

• Genomic Data from Patients with Advanced Rare Cancers Treated with Pembrolizumab

  Rare cancers lack effective evidence-based treatments despite contributing substantially to cancer-related mortality. The goal of this study is to identify molecular biomarkers associated with response to pembrolizumab in patients with advanced rare cancers.This dataset includes genomic profiling generated from patients enrolled in an investigator-initiated phase II basket trial of pembrolizumab.

  Study EGAS50000001508

• Transcriptomic Data from Patients with Advanced Rare Cancers Treated with Pembrolizumab

  Rare cancers lack effective evidence-based treatments despite contributing substantially to cancer-related mortality. The goal of this study is to identify molecular biomarkers associated with response to pembrolizumab in patients with advanced rare cancers.This dataset includes transcriptomic profiling generated from patients enrolled in an investigator-initiated phase II basket trial of pembrolizumab.

  Study EGAS50000001509

• ChIP-seq analysis of clear cell renal cell carcinoma

  In order to understand the epigenetic basis on ccRCC, we performed ChIP-seq on 3 ccRCC cell lines (786-O, A498, UMRC-2), and 1 normal kidney epithelium cell line (HK-2), cultured under normoxic (20% O2) and hypoxic (0.05% O2) conditions. This study analysed data from H3k4me1, H3K4me3, H3K27ac, H3k27me3, H3k36me3, CTCF, and HIF1A

  Study EGAS50000001322

• R compatible Seurat's objetc .rds files with count data and metadata from single cell RNA seq analysis to characterize the prostate cancer tumoral microenviroment of 31 fusion biopses.

  Pre-processed Seurat objects with cellular and functional annotation information from the scRNAseq study on PC fusion biopsy samples. The data consists of rds files composed of normalised counts matrices, normalised and scaled counts, functional enrichment counts at the cellular level and metadata with patient grouping and cellular annotation variables. There are 3 .rds files, one with the total cells (SCP_data_analysis), with the selection of cells annotated as cancerous (selected_cancer_analysis) and cancer-associated fibroblasts (selected_caf_analysis).

  Dataset EGAD50000001298

• Dataset of the transcriptomic profiling of skin biopsies from 221 psoriasis patients following treatment with Zasocitinib

  This dataset contains the paired fastq files generated from 221 samples collected from patients with moderate-to-severe plaque psoriasis and sequenced on the Illumina NovaSeq 6000 platform. Patients were randomized in a 1:1:1:1:1 ratio to receive oral Zasocitinib at doses of 2 mg, 5 mg, 15 mg, 30 mg, or placebo once daily for 12 weeks. Clinical response was defined as achieving a PASI 75 response at week 12, while histologic response was defined as the absence of KRT16-positive cells in lesional skin after 12 weeks of treatment.

  Dataset EGAD50000002224

• scRNA transcriptome and TCR sequencing data modeling treatment responses in eight renal cell carcinoma patient

  Single cell RNA sequencing and coupled TCR sequencing data generated following immunological treatments in patient-derived ex vivo tumor models. Dataset consist of 46 sequencing samples originating from eight individual patient-derived ex vivo models. Single cell RNA and TCR sequencing data is generated using 10X Genomics platform with 5´ sequencing. The submission contains 46 Fastq files where each patient-derived ex vivo model and it's transcriptomic response to specified treatment is a unique sequencing run. TCR sequencing runs are submitted as one file per individual model, gathering all the treatment conditions.

  Dataset EGAD50000001934

• A single-cell atlas of the early COPD lung - Nanopore long-read

  Single cell atlas of the human airways from 10 patients suffering of early stage Chronic Obstructive Pulmonary Disease and 12 healthy age matched volunteers. This dataset was sequenced by 10X Genomics 3’ RNA-seq profiling. It is composed of more than 400 000 cells coming from 119 samples total. Sampling was performed by brushings and biopsies from the nose to the 6 th division of the airways. 14 samples were also sequenced using Nanopore long-read sequencing.

  Dataset EGAD50000001002

• Single-cell genotype-to-phenotype (scG2P) data of single nuclei from cell line mixing experiment and six donors

  We developed Single-cell genotype-to-phenotype (scG2P) to profile mutations in driver gene hotspots and capture mRNA targets of interest, validating this assay in a cell line mixing experiment of KYSE-270, KYSE-410, and HCT-116, and applied the assay to esophageal biopsy samples from six donors.

  Study EGAS50000001429

• EM-seq data from plasma cfDNA samples of ALS patients, control and C9-carriers

  This dataset contains targeted EM-seq data from 61 plasma cfDNA samples spanning 20 sporadic ALS, 10 C9orf72-ALS, 10 asymptomatic C9orf72 expansion carriers, and 21 non-disease controls. Libraries were prepared with the NEBNext Enzymatic Methyl-seq (EM-seq) kit, captured using the Twist Human Methylome Panel (3.98 M CpGs; 123 Mb), and sequenced on Illumina NovaSeq 6000 (150 bp paired-end; ~45× on-target depth) with unmethylated lambda DNA spike-in and a 20% PhiX balance library. The dataset includes per-sample gzipped FASTQ files (R1/R2) and minimal metadata.

  Dataset EGAD50000001808

• Transcriptomics for IMMU-SCCHN1 cohort

  The goal of IMMUcan is to understand how the immune system interacts with tumors and how therapeutic interventions influence this interaction. This cohort includes patients with confirmed locally recurrent and/or metastatic squamous cell carcinoma of the head and neck (SCCHN) who receive first-line treatment with immune checkpoint inhibitors (ICI) or ICI combined with chemotherapy. This dataset contains transcriptomics data processed with the STAR pipeline. Two sequencing kits were employed: Roche KAPA for high-quality RNA samples and Takara SMART-Seq Stranded for samples with limited RNA quantities.

  Dataset EGAD50000002206

• Common origin and somatic mutation patterns of composite lymphomas and leukemias

  The dataset contains six composite lymphomas and leukemias cases (four composite B-cell lymphomas (case 1-4), and two combinations of B-cell and T-cell lymphoma (case 5+6)). Two tumor and one non-tumor (NTC) sample were sequenced from each case after library prep with NEBNext Ultra DNA Library Prep Kit, Exome capturing was done with NimbleGen SeqCap EZ Choice kit, and sequenced on a Illumina HiSeq 2000 HO and given as fastq files. WGA (Qiagen REPLI-g kit) was used for case 2 and 3. Case 1-4 were microdisected, case 5+6 were flow-sorted.

  Dataset EGAD50000001486

• Genomic evolution of pancreatic cancer at single-cell resolution

  This project assesses genomic evolution of pancreatic cancer using the Mission Bio Tapestri platform and Whole Exome Sequencing. The Mission Bio Tapestri platform is a single-cell DNA sequencing platform using a targeted gene panel to assess SNV/CNV. Several samples, including primary and metastatic tissue, were used to investigate changes at single-cell resolution.

  Study EGAS50000001351

• Identification of cell type differences in FOXN1 mutation carriers by scRNA-seq

  scRNA-seq was performed on the BD Rhapsody platform. CD45+ lymphocytes from two FOXN1het patients and one cord blood sample as control were sorted from frozen cryopreserved samples. The samples were split and each sample was stained with 4 Sampletag antibodies before Abseq staining with the BD Immune Discovery panel and 6 additional antibodies was performed to better classify immune cell subsets. The sorted and stained populations were pooled before loading onto the BD Rhapsody cartridge. The manufacturer's protocol was followed for library construction and samples were sequenced on an Illumina NovaSeq 6000.

  Dataset EGAD50000001708

• Bleomycin Induced Pneumonitis WGS dataset

  This is whole genome sequencing data from a cohort of 18 patients with germ cell tumours or Hodgkin Lymphoma, who developed clinically significant bleomycin-induced pneumonitis despite low clinical risk. DNA was extracted from whole blood, and 150-base paired-end reads were generated on an Illumina NovaSeq 6000 instrument to a minimum 30x depth. Sequence reads were aligned to the GRCh38 reference with BWA MEM, and germline variants were called following GATK best practice procedures. The dataset comprises per-sample read alignment files in BAM format, and a joint-called germline variant file in VCF format.

  Dataset EGAD50000002221

• 10X single-cell Multiome (RNA+ATAC) and single-cell RNAseq of xenograft-derived HSPC, progenitors and myeloid progeny

  10X genomics chromium single-cell ATAC+RNA (Multiome) was use to prepare single-nucleus RNA- and ATAC-seq libraries for human HSPC sorted from xenografts recovered from inflammatory challenge. 10X genomics 3' kits were used to prepare single-cell RNA-seq libraries for committed progenitors and myeloid cells from the same xenografts. These were sequenced on an Illumina NovaSea 6000 platform; BAM files are provided. Samples from 3 conditions were sequenced for each cell type; 3 chromatin accessibility runs and 9 gene expression runs are provided.

  Dataset EGAD50000002328

• EHMT2 alterations cause a Kleefstra-like syndrome

  We report clinical and molecular correlates associated with six de novo EHMT2 variants identified in patients presenting with a Kleefstra syndrome–like phenotype. Transcriptomic profiling of patient-derived fibroblasts and induced pluripotent stem cells (iPSCs) reveals shared gene expression signatures between EHMT2 variant carriers and Kleefstra syndrome, compared with cell lines derived from healthy donors.

  Study EGAS50000001637

• Single Cell RNASeq for ARMS tumors

  6 samples from 3 mice related to Alveolar Rhabdomysarcoma. In this study, we employ scRNA-seq to analyze ARMS tumors from a conditional mouse model of ARMS. The conditional knock-in mouse model of ARMS, in which the Pax3-Foxo1 allele is activated in the skeletal muscle cell lineage via Myf6Cre (Myf6CrePax3P3Fm/P3FmTrp53F2-10/F2-10; referred to hereafter as GEMM-ARMS) has been described previously23,24. These mice also carry Cre-activated reporters, eYFP to label Pax3::Foxo1-expressing cells and dsRED2 to labels Myh2-expressing cells. Some tumors are derived from GEMM-ARMS mice, and some are allografts of GEMM-ARMS tumors into immunodeficient mice

  Dataset EGAD50000002241

• CAGEKID: Cancer Genomics of the Kidney

  The aim of CAGEKID is to carry out comprehensive detection of DNA markers for conventional (clear cell) renal carcinoma. The project includes complete analysis of somatic and constitutional DNA variation, methylation patterns and expression in a large number of constitutional/tumor pairs. CAGEKID is a part of the International Cancer Genome Consortium, ICGC.

  Study EGAS00001000083

• Genomic Variant Dataset of 5,309 Jeju Residents: Integrated WGS and SNP Array Analysis

  This dataset comprises genomic data from the Jeju Genome Project (JGP). WGS libraries were prepared using TruSeq Nano DNA kits and sequenced on Illumina NovaSeq 6000, with variants called via the DRAGEN Germline pipeline (v4.0.3). Genotyping was performed using the customized Axiom_JPMI v1 Chip on the Affymetrix GeneTitan platform. Raw data were processed using APT (v2.11.4), followed by phasing with Eagle (v2.4.1) and imputation via Minimac3 (v2.0.1) using a JGP-specific reference panel to optimize accuracy for the Jeju population.

  Dataset EGAD50000002451

• RNA-sequencing of N-ERD patients with Dupilumab therapy

  Transcriptomic profiles of Non-steroidal anti-inflammatory drug-exacerbated respiratory disease (N-ERD) patients before and after aspirin challenge during 24 weeks of Dupilumab therapy. To investigate the dynamics of nasal mediators during aspirin provocation in N-ERD patients before and twenty-four weeks after therapy with the IL-4 receptor alpha-blocking antibody dupilumab.

  Study EGAS50000000386

• Variant calling for LUNG-NSCLC2 cohort

  The goal of IMMUcan is to understand how the immune system interacts with tumors and how therapeutic interventions influence this interaction. This cohort includes patients with non-small cell lung cancer who had surgical resection. This is a subcohort of the EORTC SPECTAlung study. This dataset contains whole exome sequencing data from tumor samples processed with the Vegan pipeline. In the absence of matching germline samples, variant calling is performed using two panel of normals (one for female and one for male). It includes SNP and CNV calling.

  Dataset EGAD50000002235

• Long-read and short-read isoform sequencing in breast cancer

  The goal of this project was to perform long-read RNA sequencing (LR-seq, PacBio) in combination with short-read RNA-seq for systematic characterization of the isoform diversity in primary breast tumor samples. We sequenced the full-length transcriptomes of 26 breast tumors and 4 normal breast samples.

  Study EGAS00001004819

• Signals of positive selection in Peruvians from three ecological regions

  In this study, genome-wide single-nucleotide polymorphism (SNP) data (Illumina Infinium® MEGA array) was gathered for 200 individuals distributed across Perú, and then analyzed to investigate signals of recent positive selection specific to populations living in the high-altitude environments of the Andes, the arid Pacific coast and the Amazon rainforest.

  Study EGAS00001005692

• The role of the mammalian SWI/SNF chromatin remodeling complex in neuroendocrine prostate cancer

  We sought to determine the effects of SMARCA4 and SMARCA2 depletion in prostate cancer cell lines. We performed siRNA-mediated knock-down of SMARCA4 and SMARCA2 in an androgen-sensitive (LNCaP) cell line and in a castration-resistant prostate cancer (CRPC)-adenocarcinoma cell line (22Rv1) and compared global transcriptional alterations using RNA-seq.

  Study EGAS00001004177

• Chordoma_Targeted_Sequencing_Study

  This Study uses a focused bespoke bait pull down library method to target findings of Chordoma whole genome and whole exome sequencing studies in order to validate findings. This method will also be used on a larger set of tumour only samples in order to find precedence of these findings in a larger set of patient samples.

  Study EGAS00001000280

• Benchmark and validation of whole exome sequencing of a trio and singleton

  Whole exome paired-end sequencing data was obtained for a trio and a fourth unrelated individual sequenced to high depth (95x) using a paired-end library with the Illumina HiSeq platform and aligned by BWA 0.5.9. The bam files were analysed and experimentally vaidated for the novel insertion of mobile elements.

  Study EGAS00001000852

• Ribosome_Profiling_of_Macrophages_during_Salmonella_Infection

  The aim of this study is to assess translational changes in macrophages over a time course of Salmonella infection. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001001285

• HipSci_Illumina 450K Methylation analysis_Healthy volunteers

  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 performed Methylation analysis using the Infinium HumanMethylation450 BeadChip on iPS cells generated from skin biopsies from healthy volunteers.

  Study EGAS00001000865

• The_evolution_of_CML

  This project aims to investigate the timing of acquistion of key driver events in CML such as the canonical BCR/ABL gene fusion and their clonal trajectories in order determine selection advantage of such clones. Colonies derived from single haematopoietic progenitors will be sequenced as clonal units. This is in line with other work in the Nangalia lab and CASM.

  Study EGAS00001005095

• Whole exome sequencing from early stage non-small cell lung cancer patients at MDACC

  The purpose of the study is to evaluate the mutational landscape and tumor mutational burden in tumor from patients with early stage non-small cell lung cancer. Mutational landscape was compared to the T cell repertoire to determine the relationship between somatic mutations and T cell response in early-stage NSCLC.

  Study EGAS00001004026

• RNAseq_Pulldown_

  We propose to definitively characterise the somatic genetics of ER+ve, HER2-ve breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses. In this experiment cDNA derived form Breast Cancer Cell lines was used in an Agilent whole exome pulldown experiment.

  Study EGAS00001000230

• Fecal Microbiota Transplantation for refractory immune checkpoint inhibitor-associated colitis

  We report the first case series of ICI associated colitis successfully treated with fecal microbiota transplantation (FMT), with reconstitution of the gut microbiome and a relative increase in the proportion of regulatory T cells (Tregs) within the colonic mucosa. These preliminary data provide evidence that modulation of the gut microbiome may abrogate ICI-associated colitis.

  Study EGAS00001003217

• Panel-based next-generation sequencing study of human liver samples.

  Panel-based next-generation sequencing study of 150 human surgical liver samples from Caucasian donors with detailed medical documentation. The overall purpose of the study was to identify expression quantitative trait loci (eQTL) in human liver for genes involved in absorption, distribution, metabolism and excretion of drugs, other xenobiotics, and endogenous substances.

  Study EGAS00001003426

• Cell_Line_Sub_Clone_Rearrangement_Screen

  Genomic libraries (500 bps) will be generated from total genomic DNA cancer samples and subjected to paired end sequencing on the llumina GA. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000178

• Investigation of relapse prediction in infants with MLL-rearranged Acute Lymphoblastic Leukemia

  In infants with ALL, accurate relapse prediction would enable treatment strategies that take relapse risk into account, with potential benefits for both low- and high-risk patients. Through analysis of bone marrow biopsies taken at initial diagnosis, we show that single-cell RNA sequencing can predict future relapse occurrence.

  Study EGAS00001003986

• Integrative_Oncogenomics_of_Multiple_Myeloma

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from Multiple Myeloma patient DNA and matched normal DNA from the same patients. Two lanes of Illumina GA sequencing will be performed on the resulting exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000036