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• Epigenomic analysis of human androgenetic trophoblast stem cells derived from complete hydatidiform mole

  A complete hydatidiform mole (CHM) is an abnormal pregnancy caused by genetic fertilization disorders. The aim of this study is to establish human trophoblast stem (TS) cell lines from CHMs and elucidate their pathogenesis.

  Study JGAS000207

• ATAC-SEQ MAIN - PHASE 1

  This is a study to test ATAC-seq protocols. CD4+ and CD8+ cells have been obtained from three different anatomical compartments. We aim to assay open-chromatin regions across these cells and perform comparative analyses.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/

  Dataset EGAD00001001320

• Acute myeloid leukemia whole exome sequencing (Diagnosis, Complete Remission and Relapse)

  To gain insight into the clonal heterogeneity of diagnosis (Dx) and relapse (Re) pairs, we employed whole exome sequencing 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 EGAD00001008375

• Balanced_Ependymoma

  We propose to definitively characterise the somatic genetics of a number of pediatric malignant tumours including ependymoma, high grade glioma and central nervous system primitive neurectodermal tumours through generation of comprehensive catalogues of somatic mutations by high coverage genome sequencing.

  Study EGAS00001000174

• Extracellular microRNA Biomarkers for Diagnostic and Prognostic Assessment of Preeclampsia at Triage

  This study is comprised of samples from 123 donors (71 cases and 52 controls) undergoing evaluation for preeclampsia. All samples were collected between 20 and 40 weeks of gestation. Small RNA sequencing was done on serum RNA obtained from donors. We were able to identify 3 bivariate extracellular miRNA biomarkers that can enable early diagnosis of preeclampsia. The raw fastq small-RNA sequencing fastq files will be submitted to dbGaP.

  Study phs003169

• Genetic Analysis of Syndromic Orofacial Clefting

  The goal of this study is to identify previously unknown genetic causes of human syndromic cleft lip/palate by using genome sequencing. Many previous studies have shown that isolated cleft lip and/or palate are not often likely to be monogenic or Mendelian diseases. We hope that by focusing on syndromic presentations, we will find novel causes of disorders which include orofacial clefting among their phenotype(s). Data provided will be fastq files from sequencing partners.

  Study phs002997

• Systematic Identification of Minor Histocompatibility Antigens Informs Outcomes after Allogeneic Stem Cell Transplantation

  This study cohort is composed of 287 patients affected by myeloid disease (AML/MDS) who were subjected to allogeneic hematopoietic cell transplantation (allo-HCT) from an HLA-matched related donor. For each study subject, we have collected genomic DNA from both donor and recipient (D-R). Resulting germline whole exome sequencing from D-R pairs has formed the basis for applying an analytical pipeline to systematically predict minor histocompatibility antigens (mHAgs)

  Study phs003394

• Dutch - BP

  The dataset encompasses 1110 Runs from the WGSPD Project 3 - Genomic Strategies to Identify High-impact Psychiatric Risk Variants Project

  Dataset EGAD50000001738

• Dutch - SCZ

  The dataset encompasses 804 Runs from the WGSPD Project 3 - Genomic Strategies to Identify High-impact Psychiatric Risk Variants Project

  Dataset EGAD50000001739

• UniKilinikum Wuerzburg MSNZ AGRasche/AG Riedel EMD DAC

  This is a Data access committee for the Data presented in the paper tilted "Spatially resolved transcriptomics reveals profound subclonal heterogeneity and T cell dysfunction in extramedullary myeloma"

  Dac EGAC50000000173

• Myeloma_Follow_up_Pilot

  Targeted capture of exonic and intronic regions of interest for the study of genomic alterations in multiple myeloma.

  Study EGAS00001000743

• RNAseq of pre- and post-5AZA-treated head and neck cancer patients refractory to anti-PD-1 therapy

  RNA sequencing (RNA-seq) was performed on baseline (before low-dose 5-aza treatment) and on-treatment (low-dose 5-aza treatment for 5 or 10 days) tumor samples from eight participants with head and neck cancer who were refractory to anti-PD-1 therapy. RNA library preparations, sequencing reactions, and initial bioinformatics analyses were conducted at GENEWIZ, LLC. In total, 16 150-bp pair-end RNAseq data were generated.

  Dataset EGAD50000001010

• Extrachromosomal DNA-driven oncogene dosage heterogeneity determines therapy response in neuroblastoma

  Characterization of ecDNA copy number-dependent plasticity of neuroblastoma patient-derived xenograft models. Data corresponds to single-cell G&T sequencing from an untreated neuroblastoma PDX and single-cell multiome ATAC + gene expression sequencing of a SHH medulloblastoma tumor.

  Study EGAS50000001040

• RNA Sequencing of Control and Myotonic Dystrophy Type 1 Cells During Myogenic Differentiation

  To investigate gene expression dynamics during myogenic differentiation in myotonic dystrophy type 1, RNA was collected from immortalized control, patient-derived, and CRISPR/Cas9-corrected myoblasts at proliferation (day -2) and at days 1 and 5 of differentiation. High-quality RNA was isolated and sequenced using poly(A)-enriched or rRNA-depleted protocols, yielding 100 bp paired-end reads with high coverage. A subset of samples at day 1 underwent deeper sequencing to enhance transcriptome resolution.

  Dataset EGAD50000001647

• Clinical sequencing in multiple myeloma

  DNA (n=1281) and RNA (n=767) were extracted from bone marrow aspirates where CD138+ selection had been performed to enrich plasma cells from patients with monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), or multiple myeloma (MM). DNA and/or RNA were sent to Foundation Medicine where targeted sequencing was performed using their Foundation 1 Heme panel. Resulting BAM files were returned along with annotations for somatic events including single nucleotide mutations, indels and structural rearrangements.

  Dataset EGAD00001004113

• Deep RNA sequencing in CLL

  Chronic lymphocytic leukemia (CLL) is a B-cell neoplasm with a heterogeneous clinical and biological behavior. We have performed deep RNA sequencing in different subpopulations of B-lymphocytes from healthy individuals and CLL cells from a cohort of 98 patients, and characterized the CLL transcriptional landscape with unprecedented resolution. The transcriptomic architecture of CLL uncovered here refines the biological characterization of the disease and opens new perspectives for the clinical management of patients.

  Study EGAS00001000374

• DAC for access to array genotypes from the PREGO biobank.

  Dac EGAC00001003484

• Molecular Characterization of Germ Cell Tumors

  We performed comprehensive molecular profiling of germ cell tumors, including whole exome sequencing and transcriptome sequencing, derived from patient samples. This project additionally explores mechanisms of chemosensivity in these patients, as well as mechanisms of tumor evolution in the context of treatment.

  Study phs000923

• Eosinophil Activation and Function in Parasitic Infections and Other Conditions with Increased Tissue or Peripheral Blood Eosinophilia in Humans

  Whole-genome sequencing of tumors and matched normal samples from 11 patients with PDGFR-rearranged hypereosinophilic syndrome reveals simple genomic alterations in this disease without recurrent somatic changes besides the known rearrangement.

  Study phs003180

• FIT interval CRCs versus Screen-detected CRCs

  Formalin-fixed, paraffin-embedded samples from 27 FIT interval CRC and 54 screen-detected CRCs collected in a pilot-program of FIT-based CRC screening in the southwest and northwest regions in the Netherlands, were used in this study. DNA was extracted for 1) Shallow Sequencing (copy number analysis) and 2) TSACP Amplicon Cancer Gene Panel (mutations) of 22 FIT Interval CRCs and 45 screen-detected CRCs.

  Dataset EGAD00001006409

• Predictor_RIO_TNBC

  In this study, samples fom a window study of the PARP inhibitor rucaparib in patients with primary triple negative or BRCA1/2 related breast cancer (RIO trial) will be investigated. Samples will undergo whole genome sequence and analysis, including use of HR Predict.

  Study EGAS00001002805

• Targeted sequencing of brain AVM tissues

  We previously identified somatic activating KRAS mutations in a majority of human arteriovenous malformations (AVMs), using whole exome sequencing. We have now performed targeted sequencing on AVMS, investigating genes in the RAS-MAPK pathway, angiogenesis and brain vascular disorders among others.

  Study EGAS00001006729

• cell-Free DNA Genomic Profiling and its Clinical Implementation in Advanced Prostate Cancer

  Sixty-eight patients with advanced prostate cancer in castration-resistant or castration-sensitive settings undergoing treatment at the University Hospital Basel or the St. Claraspital Basel (Switzerland) were selected for targeted parallel sequencing analysis on liquid biopsy (plasma cfDNA) and matched formalin-fixed, paraffin-embedded (FFPE) tumor tissue samples.

  Study EGAS50000000234

• Black Representation in Genomic Research Whole Blood eQTL Study

  This dataset contains whole genome sequencing (WGS) results, as well as mRNA-seq of RNA extracted from a venous blood sample, from 23andMe research participants of African ancestry. This dataset facilitates the study of gene expression, genetic variation and the genetic architecture of gene expression in individuals of African ancestry.

  Study phs002969

• LCM-RNAseq on human lung macrophages

  In the reported study, we employed Laser Capture Microdissection (LCM) for the transcriptome profiling of lung macrophages cells populations as a function of location within the healthy tissue. In detail, macrophage mini-bulks (100 cells each) were collected by LCM from 4 healthy human donors in 5 different locations of the airways (a total of 20 biopsies), including parenchyma (L1 – lower left lobe (LLL); L6 – 80% distance from LLL tip), trachea (L2), bronchi (L3 – 1st/2nd generation; L5 – 3rd/4th generation) and processed for RNA-seq.

  Dataset EGAD00001008694

• Personalised Mapping of Tumour Development in Synchronous Colorectal Cancer Patients

  We performed an in-depth characterisation of 12 tumours from 3 syCRC patients by analysing histopathological, whole genome sequencing and RNA-sequencing data. We assessed the extent of genetic overlap between synchronous tumours and examined associations between clinicopathological information and the molecular, microbial and immune features of each tumour genome.

  Study EGAS00001004413

• Clonal dynamics of normal haematopoiesis across the human lifespan

  Age-related loss of function in the human haematopoietic system is well documented, manifesting as reduced regenerative capacity, age-related cytopenias and immune dysfunction. However, the cellular and population level changes that underpin both this functional decline and the increased risk of clonal haematopoiesis and blood cancer in the elderly remain elusive. Here we performed whole genome sequencing on >3350 single haematopoietic stem cell / multipotent progenitors (HSC/MPP) derived colonies across 10 haematologically normal subjects aged 0 to 81. We found that HSC/MPPs accumulated 17 single nucleotide variants per year post birth and had a reduction in telomere length of 50bp per year throughout young adult life. We reconstructed phylogenies of the sampled HSC/MPPs to interrogate changes in clonal dynamics through life. Haematopoiesis in adults aged less than 65 was predominantly polyclonal, with few known driver mutations. In contrast, individuals aged over 75 displayed a profound change in clonal structure, with frequent clonal expansions, many unexplained by known driver mutations. The ratio of non-synonymous to synonymous mutations revealed widespread positive selection, estimating around 1000 driver mutations in the dataset (10-fold more than the number of known drivers). We identified novel genes ZNF318 and HIST2H3D as being under positive selection, despite not being enriched in myeloid malignancies. Our data show that HSC clonal dynamics is more complex than previously thought. One implication is that by old age, the majority of HSCs carry at least one of a number of largely undescribed driver mutations, which may underlie aspects of their functional decline.

  Dataset EGAD00001007851

• Cerebrospinal fluid circulating tumour DNA allows the characterisation and monitoring of medulloblastoma

  The molecular characterisation of medulloblastoma, the most common paediatric brain tumour, is crucial for the correct management and treatment of this heterogenous disease. In this study we show that CSF ctDNA allows the molecular characterisation and monitoring of medulloblastoma. This can ultimately facilitate the clinical management of medulloblastoma patients.

  Study EGAS00001004651

• STimage: Robust and interpretable prediction of gene markers and cell types from spatial transcriptomics data

  Spatial transcriptomics (ST) links tissue morphology with gene expression values, opening new avenues for digital pathology. Deep learning models are used to predict gene expression or classify cell types directly from images, offering significant clinical potential but still requiring improvements in interpretability and robustness. We present STimage as a comprehensive suite of models to predict spatial gene expression and classify cell types directly from standard H\&E images. STimage enhances robustness by estimating gene expression distributions and quantifying both data-driven (aleatoric) and model-based (epistemic) uncertainty using ensemble approach with foundation models. Interpretability is achieved through attribution analysis at single-cell resolution integrated with histopathological annotations, functional genes, and latent representations. We validated STimage across diverse datasets, demonstrating its performance across various platforms. STimage-predicted gene expression can stratify patient survival and predict drug response. By enabling molecular and cellular prediction from routine histology, STimage offers a powerful tool to advance digital pathology.

  Study EGAS50000001503

• Detection of clinically relevant genetic and transcriptomic landscape in DLBCL uniformly treated by R-CHOP

  Recent studies using next-generation sequencing strategies have described the landscape of genetic alterations in diffuse large B-cell lymphoma (DLBCL). However, little is known about the clinical relevance of recurrent mutations and copy number alterations and their transcriptional footprints. This study examines the frequency, interaction and clinical impact of recurrent genetic aberrations in DLBCL using high-resolution technologies in a large population-based cohort.

  Dataset EGAD00001003783

• 10x dataset of an obese human subject

  Biopsies from visceral adipose tissue from the omental depot (OAT) were obtained from an obese individual with participant informed consent obtained after the nature and possible consequences of the studies were explained under protocols approved by the Institutional Review Boards of the Perelman School of Medicine at the University of Pennsylvania, the Children’s Hospital of Philadelphia, or the Tel Aviv Sourasky Medical Center. The obese donor underwent bariatric surgery, the lean donor underwent cholecystectomy. OAT samples were placed in 1 mL of DMEM, and finely minced under sterile conditions before digestion in 50 mL of DMEM with 3 mg/1 mL collagenase IV (Gibco). Samples were incubated at 37°C in a rotating oven for 20-60 min. Adipocyte and stromal vascular fractions (SVF) were separated by centrifugation, and red blood cells (RBCs) were removed from the SVF by histopaque gradient (Sigma). Single-cell RNA-sequencing libraries were prepared using the Chromium platform (10x genomics), and sequenced on the MiSeq 500 or HiSeq 2500 Sequencing System (Illumina).

  Dataset EGAD00001005101

• MARS-seq dataset of five obese human subjects and a lean human subject

  Biopsies from visceral adipose tissue from the omental depot (OAT) were obtained from five obese individuals and one lean donor with participant informed consent obtained after the nature and possible consequences of the studies were explained under protocols approved by the Institutional Review Boards of the Perelman School of Medicine at the University of Pennsylvania, the Children’s Hospital of Philadelphia, or the Tel Aviv Sourasky Medical Center. The obese donors underwent bariatric surgery, the lean donor underwent cholecystectomy. OAT samples were placed in 1 mL of DMEM, and finely minced under sterile conditions before digestion in 50 mL of DMEM with 3 mg/1 mL collagenase IV (Gibco). Samples were incubated at 37°C in a rotating oven for 20-60 min. Adipocyte and stromal vascular fractions (SVF) were separated by centrifugation, and red blood cells (RBCs) were removed from the SVF by histopaque gradient (Sigma). Single-cell RNA-sequencing libraries were prepared using the MARS-seq pipeline, and sequenced on the MiSeq 500 or HiSeq 2500 Sequencing System (Illumina).

  Dataset EGAD00001005100

• NIPT samples for systematic evaluation of NIPT aneuploidy detection software tools

  This dataset contains two sets of samples. The reference sample set consists of a total of 669 samples that had been reported previously to be euploid by the NIPTIFY screening test. The validation sample set is based on a previously published validation study by Zilina et al. (1), consisting of 423 samples, of which 259 were high-risk pregnancies that had undergone diagnostic invasive prenatal analysis (1). All samples were sequenced with Illumina NextSeq 500 platform, producing 85 bp single-end reads with an average per-sample coverage of 0.32× at the University of Tartu, Institute of Genomics Core Facility, according to the manufacturer’s standard protocols, as described previously (1). This study was performed with the approval of the Research Ethics Committee of the University of Tartu (#315/T-13). 1. Zilina O, Rekker K, Kaplinski L, Sauk M, Paluoja P, Teder H, et al. Creating basis for introducing non‐invasive prenatal testing in the Estonian public health setting. Prenat Diagn [Internet]. 2019 Dec 6;39(13):1262-8. Available from: https://onlinelibrary.wiley.com/doi/abs/10.1002/pd.5578

  Dataset EGAD00001007712

• Finnish - THL SUPER

  The dataset encompasses 852 Runs from the WGSPD Project 3 - Genomic Strategies to Identify High-impact Psychiatric Risk Variants Project

  Dataset EGAD50000001466

• Tumor-reactive heterotypic CD8 T cell clusters from clinical samples

  Emerging evidence suggests a correlation between CD8+ T cell-tumor cell proximity and anti-tumor immune response. However, it remains unknown whether these cells exist as functional clusters that can be isolated from clinical samples. By conventional and imaging flow cytometry, we show here that from 21/21 human melanoma metastases, we could isolate heterotypic clusters, comprising CD8+ T cells interacting with one or more tumor cells and/or antigen-presenting cells (APCs). Single-cell RNA-sequencing revealed that T cells from clusters were enriched for gene signatures associated with tumor reactivity and exhaustion. Clustered T cells exhibited increased TCR clonality indicative of expansion, while TCR-matched T cells showed more exhaustion and co-modulation when conjugated to APCs than to tumor cells. T cells that were expanded from clusters ex vivo exerted on average 9-fold increased killing activity towards autologous melanomas, which was accompanied by enhanced cytokine production. Upon adoptive cell transfer into mice, T cells from clusters showed improved patient-derived melanoma control, which was associated with increased T cell infiltration and activation. Together, these results demonstrate that tumor-reactive CD8+ T cells are enriched in functional clusters with tumor cells and/or APCs and that they can be isolated and expanded from clinical samples. Typically excluded by single cell gating in flow cytometry, these distinct heterotypic T cell clusters serve as a valuable source to decipher functional tumor-immune cell interactions, while they may also be therapeutically explored.

  Study EGAS50000000785

• A distinct monocyte cellular state links systemic immune dysregulation to pulmonary impairment in long COVID

  single cell multiome dataset (snRNA-seq + snATAC-seq) from PBMC of patients with long COVID disease.

  Dataset EGAD50000001729

• FFPE CPA Accreditation Study

  FFPE CPA accreditation of genome-scale sequencing in routinely collected formalin-fixed paraffin-embedded (FFPE) cancer specimens versus matched fresh-frozen samples using targeted pulldown capture prior to Illumina sequencing.

  Dataset EGAD00001000678

• RNA-seq dataset of CD34+ HSPCs from LRMDS patients

  To profile transcriptional alterations of HSPCs in LR-MDS patients, 7AAD−CD45+Lin-CD235a−CD34+ cells were isolated from healthy donors and LR-MDS patients for RNA sequencing.

  Dataset EGAD00001015771

• Loss of RREB1 in pancreatic beta cells reduces cellular insulin content and affects endocrine cell gene expression

  Genome-wide studies have uncovered multiple independent signals at the RREB1 locus associated with altered type 2 diabetes risk and related glycaemic traits. However, little is known about the function of the zinc finger transcription factor Ras-responsive element binding protein 1 (RREB1) in glucose homeostasis or how changes in its expression and/or function influence diabetes risk.

  Dataset EGAD50000000515

• WES of germline, nevi, primary and metastatic Cutaneous Melanoma from patient 009 in CASVAC-0401 trial

  Samples: primary cutaneous melanoma (CM) non-associated or distal nevus (A); adjacent or CM-associated nevus (B); Primary-CM (C); and Lymph-Node Metastasis (LN-mts) (D). Whole-exome sequencing (WES) was performed in DNA extracted from the different samples (A-D) paired with the germline reference (G), processed with the Agilent SureSelect All Exon Human V5 Library in an Illumina Hiseq 4000 PE101 platform.

  Dataset EGAD00001009083

• BLUEPRINT RNA-seq data for rare cells in the haematopoietic lineages, from adult and cord blood samples.

  RNA-seq data for rare cells in the haematopoietic lineages, from adult and cord blood samples.

  Study EGAS00001000284

• scRNA seq and scTCR seq data from 5 melanoma patients

  The Chromium Controller and Chromium X platfor of 10X Genomics were used for single cell partitioning and barcoding. Each cell's transcriptome was barcoded during reverse transcription, pooled cDNA was amplified and Single Cell 5' Gene Expression (GEX), V(D)J and Feature Barcode (FB) Libraries were prepared according to the manufacturer's protocols (CG000330 and CG000331, 10X Genomics). All libraries were quantified and normalized on library QC data generated on the Bioanalyzer system according to manufacturer's protocols (G2938-90321 and G2938-90024, Agilent Technologies). Based on the expected target cell counts, a balanced library sub-pool of samples was compsed for SC5'GEX, V(D)J and FB libraries. Library sub-pools were quantified by qPCR, accodring to the KAPA Library Quantification Kit Illumina(R) Platforms protocol (KR0405, KAPA Biosystems). Based on qPCR results a final sequencing pool was composed. Paired end sequencing was performed on a NovaSeq 6000 Instrument (Illumina) using NovaSeq 6000 Reagent Kits v1.5 100 cycles (cat. no. 20028401, 20028319, 20028316 Illumina), using 28 cycles for Read 1, 10 cycles for Read i7, 10 cycles for Read i5 and 90 cycles for Read 2.

  Dataset EGAD50000001155

• Glioblastoma stem cell lines RNA-seq (Guilhamon et al.)

  RNA was extracted from GSCs using the Qiagen RNeasy Plus kit. RNA sample quality was measured by Qubit (Life Technologies) for concentration and by Agilent Bioanalyzer for RNA integrity. All samples had RIN above 9. Libraries were prepared using the TruSeq Stranded mRNA kit (Illumina). Two hundred nanograms from each sample were purified for polyA tail containing mRNA molecules using poly-T oligo attached magnetic beads, then fragmented post-purification. The cleaved RNA fragments were copied into first strand cDNA using reverse transcriptase and random primers. This is followed by second strand cDNA synthesis using RNase H and DNA Polymerase I. A single “A” base was added and adapter ligated followed by purification and enrichment with PCR to create cDNA libraries. Final cDNA libraries were verified by the Agilent Bioanalyzer for size and concentration quantified by qPCR. All libraries were pooled to a final concentration of 1.8nM, clustered and sequenced on the Illumina NextSeq500 as a pair-end 75 cycle sequencing run using v2 reagents to achieve a minimum of ~40 million reads per sample.

  Dataset EGAD00001006813

• CMMRD tumors sequencing data

  Whole exome sequencing data from the tumors of individuals with constitutional mismatch repair deficiency. These are 16 tumors from the bigger study of 41 tumors in total (from 17 individuals in total).

  Dataset EGAD50000000113

• piRNA analysis in human testis

  The dataset comprises RNAseq data of human testiculr tisue of fertile men with full spermatogenesis nd infertile men with biallelic variants in genes of the piRNA pathway.

  Dataset EGAD50000000585

• Assessing mitochondrial bioenergetics in coronary artery disease: A translational left ventricular tissue study in humans (The AMBITION study).

  Single nuclei transcriptomic data from the AMBITION study.

  Dataset EGAD00001011078

• Exome sequencing of hyperplastic polyposis patients

  In this project we are sequencing the exomes of patients with hyperplastic polyposis, and tumours from these patients.

  Study EGAS00001000040

• Functional dissection of inherited non-coding variation influencing multiple myeloma risk

  The project aimed at identification of genotype dependent chromatin accessibility in MM patients.

  Study EGAS00001005394

• The complexity of tobacco smoke induced mutagenesis in head and neck cancer - sequence data (Mutographs)

  The complexity of tobacco smoke induced mutagenesis in head and neck cancer - sequence data (Mutographs)

  Dataset EGAD00001015386

• The dataset for Genome-wide cell-free DNA fragmentation in patients with cancer

  The dataset for Genome-wide cell-free DNA fragmentation in patients with cancer includes 538 bam files from whole genome next-generation sequencing on the Illumina HiSeq2500. The samples analyzed include plasma samples from healthy individuals and patients with cancer.

  Dataset EGAD00001005339