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• The natural history of clonal haematopoiesis: phase 6 targeted

  Deep targeted sequencing of 56 genes associated with clonal haematopoiesis and haematological malignancy in peripheral blood-derived DNA from 11 older adults, each previously sampled 2-5 times over the preceding ~13 years.

  Dataset EGAD00001007683

• Metastatic Pediatric Sclerosing Epithelioid Fibrosarcoma

  This dataset contains different samples from a single patient with SEF. The dataset contains whole genome, whole exome and RNAseq information. Two of the DNA sequencing samples also contain matched normals.

  Dataset EGAD00001007516

• Metastatic Pediatric Sclerosing Epithelioid Fibrosarcoma

  This dataset contains different samples from a single patient with SEF. The dataset contains whole genome, whole exome and RNAseq information. Two of the DNA sequencing samples also contain matched normals.

  Dataset EGAD00001007515

• Cancer-associated fibroblasts promote drug resistance in ALK-driven lung adenocarcinoma cells by upregulating lipid biosynthesis

  Targeted therapy interventions using tyrosine kinase inhibitors (TKIs) provide encouraging treatment responses in ALK-rearranged lung adenocarcinomas, yet resistances occur almost inevitably. Apart from tumor cell-intrinsic resistance mechanisms, accumulating evidence supports a role of cancer-associated fibroblasts (CAFs) in affecting the therapeutic vulnerability of lung cancer cells. Here, we aimed to investigate underlying molecular networks shaping the therapeutic susceptibility of ALK-driven lung adenocarcinoma cells via tumor microenvironmental cues using three-dimensional (3D) spheroid co-culture settings. We show that CAFs promote therapy resistance of lung tumor cells against ALK inhibition by reducing apoptotic cell death and increasing cell proliferation. Using single-cell RNA-sequencing analysis, we show that genes involved in lipogenesis constitute the major transcriptional difference between TKI-treated homo- and heterotypic lung tumor spheroids. CAF-conditioned medium and CAF-secreted factors HGF and NRG1 were both able to promote resistance of 3D-cultured ALK-rearranged lung tumor cells via AKT signaling, which was accompanied by enhanced de novo lipogenesis and supression of lipid peroxidation. Notably, simultaneous targeting of ALK and SREBP-1 was able to overcome the established CAF-driven lipid metabolic-supportive niche of TKI-resistant lung tumor spheroids. Our findings highlight a crucial role of CAFs in mediating ALK-TKI resistance via lipid metabolic reprogramming and suggest new ways to overcome resistance towards molecular directed drugs by targeting vulnerabilities downstream of oncogenic signaling.

  Study EGAS50000000135

• To reveal the spectrum of gene mutations in grade II/III gliomas, whole exome sequencing of 52 samples including 4 multi-regional and 10 multi-time points sampling cases and 291 SNP-array were performed.

  To reveal the spectrum of gene mutations in grade II/III gliomas, whole exome sequencing of 52 samples including 4 multi-regional and 10 multi-time points sampling cases and 291 SNP-array were performed. Our analysis revealed high degrees of temporal/spatial heterogeneity generated during tumor expansion and relapse.

  Study EGAS00001001044

• Single-cell Transcriptomic and TCR Repertoire Profiling of DENV-specific CD8+ T Cells Across Dengue Disease Severities

  This dataset contains single-cell RNA sequencing (Smart-seq2) and paired TCR repertoire data of sorted dengue virus (DENV)-specific CD8⁺ T cells from individuals with differing clinical outcomes: asymptomatic dengue (AD), dengue fever (DF), and dengue hemorrhagic fever (DHF). Samples were obtained from HLA-A11⁺ and HLA-A24⁺ individuals during acute and convalescent phases, with antigen-specific CD8⁺ T cells isolated using HLA tetramers loaded with immunodominant DENV epitopes. The study identifies phenotypically distinct T cell subsets associated with disease severity, TCR avidity, and antigen reactivity to current or prior DENV serotypes. The dataset supports the understanding of CD8⁺ T cell heterogeneity, TCR features, and potential mechanisms of CD8⁺ T cell-mediated protection versus immunopathogenesis in dengue infection.

  Dataset EGAD00001015637

• Longitudinal Immune Dynamics of Mild COVID-19 Define Signatures of Recovery and Persistence

  SARS-CoV-2 has infected over 160 million and caused more than 3 million deaths to date. Most individuals (>80%) have mild symptoms and recover in the outpatient setting, but detailed studies of immune responses have focused primarily on moderate to severe COVID-19. We deeply profiled the longitudinal immune response in individuals with mild COVID beginning with early time points post-infection (1-15 days) and proceeding through convalescence to >100 days after symptom onset. We correlated data from single cell analyses of peripheral blood cells, serum proteomics, virus-specific cellular and humoral immune responses, and clinical metadata. Acute infection was characterized by vigorous coordinated innate and adaptive activation, including an early cellular and proteomic signature that correlated with the amplitude of virus-specific humoral responses after day 30. We characterized signals associated with recovery and convalescence to define a new signature of inflammatory cytokines, gene expression, and chromatin accessibility that persists in individuals with post-acute sequelae of SARS-CoV-2 infection (PASC).

  Study phs002576

• Genomic Copy-Number Variants Drive Apoptotic Resistance and Relapses on Immune Checkpoint Inhibitors

  We investigated the genomic mechanisms underlying acquired resistance (AR) to immune checkpoint inhibitors (ICIs) across tumor types, specifically by examining how copy number variant (CNV)-driven subclonal evolution contributes to clinical relapses in melanoma patients. We analyzed longitudinal clinical melanoma samples from patients who experienced relapses on ICI therapy, complemented by isogenic human melanoma cell line models (M486) and murine melanoma tumor systems. Single-cell whole-genome sequencing (scWGS) was employed to resolve subclonal CNV patterns in AR tumors. The scWGS data revealed that AR-dominant subclones systematically deleted pro-apoptotic genes while amplifying anti-apoptotic genes and innate resistance pathway components. Notably, shared and private AR subclonal CNVs preexisted selective pressure, with convergent evolution targeting apoptosis-regulatory pathways and resulting in downregulated apoptotic/mitochondrial priming that enables ICI resistance. scWGS datasets from isogenic human melanoma cell lines, patient-matched tumor samples, and murine melanoma models will be made available through dbGaP, enabling researchers to access high-resolution subclonal CNV profiles that define the genomic landscape of acquired ICI resistance evolution.

  Study phs004102

• Long-read sequencing of diagnosis and post-therapy medulloblastoma reveals complex rearrangement patterns and epigenetic signatures (Hipo_021)

  Cancer genomes harbor a broad spectrum of structural variants (SV) driving tumorigenesis, a relevant subset of which escape discovery using short-read sequencing. We employed Oxford Nanopore Technologies (ONT) long-read sequencing in a paired diagnostic and post- therapy medulloblastoma to unravel the haplotype-resolved somatic genetic and epigenetic landscape. We assemble complex rearrangements and such associated with telomeric sequences, including a 1.55 Megabasepair chromothripsis event. We uncover a complex SV pattern termed ‘templated insertion thread’ (TI thread), characterized by short (mostly <1kb) insertions showing prevalent self-concatenation into highly amplified structures of up to 50kbp in size. TI threads occur in 3% of cancers, with a prevalence ranging to 74% in liposarcoma, and frequent colocalization with chromothripsis. We also perform long-read based methylome profiling and discover allele-specific methylation (ASM) effects, complex rearrangements exhibiting differential methylation, and differential promoter methylation in cancer-driver genes. Our study shows the advantage of long-read sequencing in the discovery and characterization of complex somatic rearrangements.

  Study EGAS00001006629

• Participating PI's in the Asia Diversity Project

  Dac EGAC00001000565

• Evolution of the African pygmy phenotype

  Dac EGAC00001000216

• The CGGA Data Access Committee

  Dac EGAC00001001664

• The Xq22.3 contiguous gene deletion syndrome

  Dac EGAC00001002150

• The MITIMM Cancer Data Access Committee

  Dac EGAC00001002268

• High coverage target resequencing of coding and regulatory regions of 38 Parkinson disease genes associated either to the Mendelian or the sporadic forms of the disease

  Coding sequences and putative regulatory sequences (retrieved from Ensembl and including up to 2500 bp of promoter sequence upstream the transcription start site) were re-sequenced to a mean depth of 49X on 38 genes associated to Parkinson's disease (RAB25, NUCKS1, RAB7L1, GBA, SYT11, ACMSD, STK39, MCCC1, STBD1, GAK, DGKQ, BST1, SCARB2, HLA-DRB5, GPNMB, FGF20, ITGA8, HIP1R, STX1B, SETD1A, SREBF1, MED13, RAI1, MAPT, RIT2, GIGYF2, HTRA2, EIF4G1, SNCA, LRRK2, VPS35, PINK1, DJ1, ATP13A2, UCHL1, PARK2, FBXO7, and PLA2G6). Sequencing was performed on 249 Parkinson's idiopathic cases and 145 unrelated controls of Spanish origin. All sequencing data was generated with an Illumina Hiseq2000 instrument after enrichment with a custom NimbleGen array. Raw reads were mapped to human reference genome hg19/GRCh37 using BWA aligner.

  Study EGAS00001000973

• The Institute of Cancer Research - Endocrinology Team

  Dac EGAC00001000532

• The Ashkenazi Genome Consortium Data Access Committee

  Dac EGAC00001000151

• The EMC-ILC3 consortium Data Access Committee

  Dac EGAC00001000729

• The Xiaoping Miao's lab of HUST.

  Dac EGAC00001000897

• Lead investigator of the TONIC study

  Dac EGAC00001001150

• The Jerusalem Perinatal Study (JPS) data access committee

  Dac EGAC00001001421

• Head of the circulating cells platform

  Dac EGAC00001001508

• Cancer Genomics of the Kidney - Targeted Sequencing

  Dac EGAC00001003091

• Spatial Dynamics of the Developing Human Heart

  Dac EGAC50000000616

• Application of organoid culture system of human gastrointestinal and thoracic cancer in genome medicine

  In order to establish preclinical models, we have established three kinds of esophageal tumoroids derived from esophageal cancer patient. We performed whole exome sequencing to analyze genetic background of the tumoroids.

  Study JGAS000749

• APC-related multiple salivary gland lesions

  This study aims to investigate the genetic and molecular mechanisms underlying a novel phenotype of attenuated familial adenomatous polyposis (AFAP), where affected individuals develop multiple salivary gland tumours, including basal cell adenomas and adenocarcinomas.

  Study EGAS50000001159

• Comprehensive analysis of interaction between human gene expression and environmental metagenomes.

  WGS, 10x scRNA, 10X TCR, 10X BCR and CyTOF analyses were performed using blood samples collected from healthy volunteers aged 18 years or older who worked or lived in the Kashiwa-no-ha area.

  Study JGAS000321

• Single cell sequences in patients with malignant tumors

  We perfomed single cell RNA and TCR sequencing of 2 lung adenocarcinoma patients and 3 head and neck squamous cell carcinoma to assess the detailed biological mechanisms of resistance to immune checkpoint inhibitors.

  Study JGAS000480

• Novel genome editing strategies to uncover genotype-phenotype correlations in Polycystic Kidney Disease: a proof-of-concept

  Bulk RNA-seq of genome-edited HEK293T cell lines engineered to model specific PKD1 variants. This dataset enables the exploration of genotype-phenotype correlations in Polycystic Kidney Disease (PKD)

  Study EGAS50000001188

• GEOCODE Cohort

  We built a large cohort of 406 healthy individuals and expanded the immune cis-regulome through their whole blood transcriptome obtained after stimulation with specific toll-like receptor (TLR) agonists and T-cell receptor (TCR) antagonist

  Study EGAS50000000903

• Dopaminergic neuron differentiation of human embryonic stem cells

  2 replicates of dopaminergic neuron differentiation of human embryonic stem cells from timepoints day 17 and day 28, performed with 10X Genomics single cell RNA-seq. Part of the Ásgrimsdottir et al. (Arenas Lab).

  Study EGAS50000001099

• TruSight Oncology 500 ctDNA targeted sequencing data from endometrial cancer patients

  This dataset contains targeted sequencing data generated using the TruSight Oncology 500 ctDNA v2 assay from plasma-derived cell-free DNA of dMMR endometrial cancer patients, at baseline and C3D1 of immunotherapy. Sequencing was performed on Illumina NovaSeq600. Dataset includes aligned sequencing files in BAM format generated using the DRAGEN TruSight Oncology 500 ctDNA v2.6.0 analysis pipeline.

  Dataset EGAD50000002262

• Whole genome sequencing of patient derived cancer and normal organoids

  The dataset includes whole genome sequencing data generated from regional patient derived colorectal cancer (CRC) and adjacent normal tissue organoids. The dataset contains samples from a total of 10 different early CRC biobank patients from 2 different sequencing runs.

  Dataset EGAD50000002204

• Purified vs unpurified stem cell-islets

  A scRNAseq dataset consisting of stem cell-derived islets treated with gradient separation (HUES8_Pure_Islets) and unpurified control (HUES8_control_islets). scRNAseq was done on cryopreserved stage 7 stem cell (HUES8 cell line)-derived islets. Details about stem cell differentiation and sequencing can be found on the publication by Rajaei et al. (2025, Science Translational Medicine). This dataset correspond to Fig 4 of the publication.

  Dataset EGAD50000001396

• Whole genome sequencing of circulating cell-free DNA on Illumina and Ultima platforms

  The dataset includes Illumina (n=1) and Ultima (n=92) sequencing of circulating cell-free DNA. The dataset was generated through standard whole genome sequencing (Illumina n=1 & Ultima n = 15) and using a duplex unique molecular identifier whole genome sequencing workflow (Ultima, n=77). This dataset includes cancer samples and cancer-free control samples.

  Dataset EGAD50000001234

• Whole-genome sequencing with complement C1s deficiency linked to systemic lupus erythematosus

  This dataset includes two FASTQ files (R1 and R2) from an Illumina germline nuclear DNA whole-genome sequencing run of a single sample. The sample corresponds to a 34-year-old male with a rare deficiency in complement component C1s, linked to systemic lupus erythematosus (SLE). Genomic analysis revealed two novel mutations in the C1S gene.

  Dataset EGAD50000000988

• RNA-Seq profiles from the CheckMate-649 Clinical Trial

  This dataset contains RNA sequencing (RNAseq) data of 814 patients from the CheckMate 649 clinical trial whose ICF allows data deposition into a public repository. Gene expression profiling was performed retrospectively using RNAseq on a subset of baseline tumor samples. Paired-end FASTQ files were processed on Seven Bridges platform (Seven Bridges Genomics).

  Dataset EGAD50000001105

• Total RNA sequencing of fibroblasts from an individual with fragile X syndrome

  Total RNA sequencing of fibroblasts from an individual with a methylated CGG repeat >200x in the FMR1 5'UTR. Libraries were prepared with total RNA with Ribo-Zero ribosomal RNA depletion (illumina), and sequenced paired-end, 75bp on a NextSeq 550 system. This dataset contains three RNA-sequencing replicates from the same cell line.

  Dataset EGAD50000000920

• Short-read single-cell RNA-sequencing of the human brain in neurodegenerative diseases

  Nuclei were isolated from postmortem human brain tissue, and single-nucleus barcoded cDNA libraries were generated using the 10X Genomics 3' v3.1 kit. Samples were sequenced on an Illumina NovaSeq 6000 to an average of 343 million reads per sample and 52,000 reads per cell.

  Dataset EGAD50000000178

• Pediatric CNS tumor classification by DNA-methylation dataset

  In this study nanopore sequencing was applied to obtain sparse DNA methylation profiles from pediatric CNS tumor samples. A neural network was used to classify the tumor based on the obtained methylation profile.

  Dataset EGAD00010002599

• Breast_Cancer_Matched_Pair_Cell_Line_Whole_Genomes

  We propose to definitively characterise the somatic genetics of matched pair breast cancer cell lines through generation of comprehensive catalogues of somatic mutations by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Study EGAS00001000166

• Triple_Negative_Breast_Cancer_Whole_Genomes

  We propose to definitively characterise the somatic genetics of Triple negative breast cancer through generation of comprehensive catalogues of somatic mutations in 500 cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Study EGAS00001000092

• Bioinformatics analysis of chimerism in monochorionic dizygotic twins

  We conducted whole-genome sequencing on blood and buccal specimen from a family with chimerism identified in the two monochorionic dizygotic twins. Blood DNA was obtained from all family members. In addition, we obtained buccal specimen from the chimeric twins. Whole-genome sequencing was conducted on Illumina NovaSeq.

  Dataset EGAD00001009508

• GELATO clinical trial whole exome sequencing data (metastatic lesions)

  Paired-end whole exome sequencing of 19 lobular breast cancer metastatic tumors and matched normal samples obtained from 19 unique patients from the GELATO clinical trial. The included raw sequencing data in fastq format was generated using Illumina NovaSeq 6000 from fresh frozen material.

  Dataset EGAD00001009837

• RNASeq data from one small cell prostate cancer patient (4 samples from 3 time points)

  RNASeq data from one small cell prostate cancer patient - 4 cancer samples (FFPE) from Patient 1 collected at 3 different time points. mRNA was selected using the Magnetic mRNA Isolation Module (NEB) and sequenced on the Illumina NextSeq 500 as 75bp paired end reads (total read length 150bp).

  Dataset EGAD00001011154

• Ultra-fast deep-learned pediatric CNS tumor classification.

  In this study nanopore sequencing was applied to obtain sparse DNA methylation profiles from pediatric CNS tumor samples. A neural network was used to classify the tumor based on the obtained methylation profile.

  Dataset EGAD00001011303

• Single-cell transcriptome sequencing of regulatory and conventional T cells in breast cancer patients and healthy individuals.

  Identification of tumor-specific effects on gene expression profile of regulatory T cells and conventional T cells in humans, investigation of the clonal origin of regulatory T cells and impact analysis of tumor-specific conversion of conventional T cells into induced regulatory T cells on the peripheral regulatory T cell repertoire in humans.

  Dataset EGAD00001004069

• exome sequence of female patients suffering from Ovarian Meiotic Defects

  Exome sequencing was performed on 15 unrelated female patients suffering from primary infertility due to Ovarian Meiotic Defects (OMD). Each reference number corresponds to one of the tested subject. DNA was extracted from Saliva using Oragene saliva DNA collection kit (DNAgenotek Inc., Ottawa, Canada).Exome capture was performed with the Agilent V5 kit and sequencing was performed on Illumina HiSeq 2000.

  Dataset EGAD00001004035

• Whole genome sequencing of primary and metastatic high risk prostate cancer.

  Pan Prostate Cancer Group Melbourne BAM files. The total of 381 samples consist of 158 primary tumour samples, 46 metastasis samples and 177 whole blood samples. All sequencing was carried out on illumina HiSeq X Ten or HiSeq 2000 systems and were mapped to hg19 using BWA. The resulting BAM files were sorted by Samtools.

  Dataset EGAD00001004182

• Whole genome sequencing of metastatic cutaneous squamous cell carcinoma

  This dataset includes somatic small variant calling files derived from fifteen metastatic samples from cutaneous squamous cell carcinoma matched to normal blood samples. These samples were whole-genome sequenced by HiSeq X Ten and the resulting reads were mapped against the human genome (hg37) using BWA-MEM 0.7.10-r789. Somatic variant calling was then performed using strelka 1 (version 2.0.17).

  Dataset EGAD00001004530

• Childhood_Cancer_Paediatric_Behjati_SRF_Targeted_Nanoseq_TE_96389176_Managed_Access

  An exploratory study using targeted NanoSeq on a bait set of common paediatric cancer genes and cancer predisposition genes to assess mutations, mutational signatures, treatment effect, risk of relapse and to study the development of childhood cancer.

  Study EGAS00001007424

• Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations

  Molecular characterization of 20 tumors of 18 children with Lynch syndrome to investigate causality. This characterization includes the investigation of second hits, tumor mutational load, mutational signatures and MMR protein expression.

  Study EGAS00001006992

• Childhood_Cancer_Paediatric_Behjati_SRF_WGS_Nanoseq_Managed_Access

  An exploratory study using WGS NanoSeq on a bait set of common paediatric cancer genes and cancer predisposition genes to assess mutations, mutational signatures, treatment effect, risk of relapse and to study the development of childhood cancer.

  Study EGAS00001007898

• Characterization of Arabian Peninsula whole exomes

  We conducted whole exome sequencing (using the SureSelect Human All Exon V5 + UTRs target enrichment kit) of 90 individuals from AP (23 from Saudi Arabia, 24 from Yemen, 24 from Oman and 19 from UAE).

  Study EGAS00001006487

• Nascent transcriptome in T-ALL bone marrow

  Nascent RNA expression profiles were generated with Global Run-On sequencing (GRO-seq) from T-ALL patient samples to measure primary transcription genome-wide and to summarize the transcriptional activity at gene loci and enhancers.

  Study EGAS00001005864

• germline variants in children with hematological cancer

  Trio parent-child whole exome sequencing has been used to identify cancer predisposing syndrome (CPS) in our pediatric patients with hematological cancer, and it was identified in 3.8% of the total number of patients(131).

  Study EGAS00001006907

• RNAseq of ribosomal footprints

  Cancer genes can affect ribosomal RNA processing and this can underlie their essentiality to cells, making them cell-essential in the same way as ribosomal genes themselves. We want to confirm this, in order to understand the results of our CRISPR drop-out screens.NOTE FROM BESPOKE TEAM: Run a single read 1 (forward read) of 30 bases, then an index 1 read as normal. This would fit a 50cycle kit

  Dataset EGAD00001001930

• Exome sequencing of two siblings with a neurodegenerative disorder identifies causative compound heterozygous variants in SLC5A6

  Exome sequencing data of two siblings of with a neurodegenerative phenotype due to SMVT deficiency. Exonic sequences were enriched using the SeqCap EZ Human Exome Library v3.0 kit (Roche NimbleGen) and libraries sequenced as 100bp paired-end reads on the HiSeq 2000 platform (Illumina).

  Dataset EGAD00001005364

• RRBS DNA methylation analysis of in vitro differentiation from induced pluripotent stem cells to hepatocyte-like cells

  Fastq files of Reduced Representation Bisulfite Sequencing data (HaeIII, covering about 7 million CpGs per sample) of induced pluripotent stem cells (iPSC), definitive endoderm (DE) and hepatocyte-like cells (HLC). The dataset comprises data generated by the in vitro differentiation protocol Cellartis (Takara Bio, "CEL", n = 4).

  Dataset EGAD00001005933

• Single-cell TCR sequencing of gluten-specific T cells from 20 celiac disease patients uploaded on 2021_Data access committee

  In order to characterize the T cell receptor (TCR) repertoire of gluten specific T cells, we performed high-throughput DNA sequencing of rearranged TCR-α and TCR-β genes of the single HLA-DQ2.5:DQ2.5-gluten tetramer binding CD4+ T cells isolated from blood, biopsies and T cell line from celiac disease patients.

  Dataset EGAD00001006977

• Genetic Diseases of Immune Homeostasis and Autoimmunity Caused by GIMAP Deficiency

  We investigated 17 affected individuals in 9 kindreds with lymphopenia, splenomegaly, liver disease, thrombocytopenia, lymphadenopathy, severe recurrent lung infections, skin diseases, and lymphoma. Whole-exome sequencing of the cohort revealed mutations in GIMAP5. We also found another patient from one kindred with a unique mutation in the gene GIMAP6, discovered by whole-exome sequencing. A comprehensive investigation of this gene mutation through in vivo and in vitro experiments revealed that GIMAP6 deficiency results in defects in autophagy in patient T cells and interruption of GIMAP7 and GABARAPL2 interactions. GIMAP6 deficiency leads to affected patients to present with clinical phenotypes such as recurrent infections, lymphoproliferation, autoimmunity, and inflammation.

  Study phs002816

• Supraphysiologic MDM2 Expression Impacts P53-Independent Chromatin Networks and Therapeutic Responses in Sarcoma

  We collected multiple liposarcoma samples from different patients, including different subtypes (DD, WD) and normal adipose tissue as control. This study provides the biggest liposarcoma cohort to date, and examined the molecular regulatory circuits associated with MDM2 overexpression. To this end, we obtained not only RNA-seq data, but also ChIP-seq from Jun, RUNX, MDM2, P53 and H3K27ac, as well as hiChIP from tumor samples and cell lines. We found that MDM2 binds to thousands of genes involved in cellular growth and stress response in a P53-independent manner. Furthermore, we described these active genes engaged in multi-way topological interactions that resemble transcriptional hubs.

  Study phs003272

• Lysosomal Disease Network (LDN6719) Immune Response to Intrathecal Enzyme Therapy in Mucopolysaccharidosis 1 Patients

  In this study we characterized the immune response to intrathecal (IT) recombinant human alpha-L-iduronidase (rhIDU) in mucopolysaccharidosis I (MPS I) subjects with spinal cord compression who had been previously treated with intravenous rhIDU. Concentrations of specific antibodies and cytokines were measured in serum and cerebrospinal fluid (CSF) collected before monthly IT rhIDU infusions. These serologic findings were compared with clinical adverse event (AE) reports to establish temporal correlations with clinical symptoms. We found that IT rhIDU was generally well tolerated in the subjects studied although one subject had moderate to severe clinical symptoms and serologic abnormalities consistent with an immune response.

  Study phs000862

• Transcriptomic Profiling after B-Cell Depletion Reveals Central and Peripheral Immune Cell Changes in Multiple Sclerosis

  We investigated the immunological effects of B cell depletion therapy using ocrelizumab in treatment-naïve relapsing-remitting multiple sclerosis (RRMS) patients. Our primary aim was to delineate transcriptomic alterations in immune cell populations in peripheral blood before and after therapy, using single-cell RNA sequencing (scRNAseq). This study included 18 newly diagnosed, treatment-naïve RRMS patients who provided matched pre- and 6-month post-treatment peripheral blood mononuclear cells (PBMCs). A secondary cohort of five patients also contributed paired cerebrospinal fluid (CSF) samples. All RRMS patients were treated with ocrelizumab, except one patient in the CSF cohort who received rituximab.

  Study phs003938

• FusionSeq: a modular framework for finding gene fusions by analyzing Paired-End RNA-Sequencing data

  We have developed FusionSeq to identify fusion transcripts from paired-end RNA-sequencing. FusionSeq includes filters to remove spurious candidate fusions with artifacts such as misalignments or random pairing of transcript fragments and it ranks candidates according to several statistics. It also has a module to identify exact sequences at breakpoint junctions. FusionSeq detected known and novel fusions in a specially sequenced calibration data set, including 8 cancers with and without known rearrangements.

  Study phs000311

• Spatial omics analysis of non-small cell lung cancers for revealing molecular statuses of intratumor heterogeneity and tumor microenvironment

  In this study, we perform spatial transcriptome analysis Visium/Xenium and other omics analysis using surgical specimens of Japanese non-small cell lung cancer cases to understand omics statuses of cancer cells and their surrounding stromal and immune cells in local tumor regions. We aim to stratify lung cancer patients with considering intratumor heterogeneity and complicated microenvironent of lung cancer tissues by using spatial omics data and histopathological information.

  Study JGAS000613

• EGAD00010000768

  Replication data for HipSci normal samples using both HumanCoreExome-12_v1 and HumanOmni2.5-8 BeadChips

  Dataset EGAD00010000768

• 10x Single Cell Gene Expression Library SCRNA10X_CS_CHIP0183_003A

  10x Single Cell Gene Expression library SCRNA10X_CS_CHIP0183_003A for Follicular lymphoma patient sample TFRI_Cont_9

  Dataset EGAD00001010210

• 10x Single Cell Gene Expression Library SCRNA10X_CS_CHIP0187_001A

  10x Single Cell Gene Expression library SCRNA10X_CS_CHIP0187_001A for Follicular lymphoma patient sample TFRIPAIR10_FL

  Dataset EGAD00001010222

• Sequencing data from a phase II study of nivolumab and ipilimumab in recurrent or refractory cancer of unknown primary (CheCUP trial)

  Sequencing data from a phase II study of nivolumab and ipilimumab in recurrent or refractory cancer of unknown primary (CheCUP trial). Panel sequencing data from baseline FFPE biopsies were used to perform a comprehensive genomic profiling of CUP metastases. Combined targeted next-generation sequencing of patient-specific hotsport mutations and shallow whole genome sequencing of baseline and follow-up liquid biopsy samples were used to analyze ctDNA and to evaluate response to immunei checkpoint inhibitor treatment. In some cases, whole exome sequencing of peripheral blood mononuclear cells was performed to screen for potential CHIP and germline mutations.

  Dataset EGAD00001011130

• Single cell RNA-seq and ATAC-seq of human fetal forebrain tissue, weeks 8 to 11.

  Single cell RNA-seq from 6 and single nuclei ATAC-seq from 3 human fetal tissue samples. Samples from 8 to 11 weeks. Includes a 8.5 weeks samples with matching both ATAC-seq and RNA-seq runs. Data was sequenced using 10X Genomics chromium technology, for scRNA-seq samples belong to v2 and v3.

  Dataset EGAD00001008653

• Fecal WMS UC sequencing data

  Fecal WMS data from NCT02749630 ulcerative colitis patients. Stool samples were collected at screening as well as on day 64 and prepared for whole metagenomic sequencing.

  Dataset EGAD00001008817

• THE SAHEL 2.5 MILLION SNP ARRAY

  Dac EGAC00001000427

• The NOWAC study Data Access Committee

  Dac EGAC00001000521

• The Sample and Data Access Committee (SDAC) of CARTaGENE

  Dac EGAC00001000525

• The Ovarian Cancer Association Consortium Data Access Committee

  Dac EGAC00001000616

• The Kibbutzim Family study (KFS) data access committee

  Dac EGAC00001000805

• Genomic Heterogeneity and the Small Renal Mass

  Dac EGAC00001000875

• Present-day genomics from the Eurasian steppe

  Dac EGAC00001000878

• Genome Dynamics in the Immune system lab-imagine

  Dac EGAC00001001254

• DAC the Tel-Aviv Medical Center Neurosurgery dept

  Dac EGAC00001002176

• DAC Genetic variability in the glucocorticoid receptor NR3C1

  Dac EGAC00001002382

• The Solomon Islands: Human Origins array genotype data

  Dac EGAC00001002588

• The Ernest and Helen Scott Haematological Research Institute

  Dac EGAC00001002616

• The Swedish Childhood Tumor Biobank DAC

  Dac EGAC50000000095

• Hi-C on the OCIAML-2 Cell Line

  Study EGAS00001004743

• Age_Validation

  Rounded chronological age of the participants

  Dataset EGAD00010002753

• Age_TrainTest

  Rounded chronological age of the participants

  Dataset EGAD00010002755

• The Genomic Landscape of Tuberous Sclerosis Complex (TSC)

  In this study, we characterized the genomic landscape of tuberous sclerosis complex (TSC), a rare genetic disease causing multisystem growth of benign tumors and other hamartomatous lesions. We analyzed 127 human tissues, including 111 TSC-associated samples and 16 non-TSC negative controls, using multiple genomic platforms including whole exome sequencing, targeted sequencing of known disease-causative loci (TSC1 and TSC2), mRNA sequencing, high-density SNP arrays, and DNA methylation arrays.

  Study phs001357

• The Immunogenetics of Measles Immunity - Measles (MMR) vaccination (NIAID/NIH)

  To examine the role of gene polymorphisms (including functional studies of SNPs) on variations in vaccine-induced immune responses, in approximately 3,000 healthy school-age children, adolescents and young adults/adults, who were vaccinated with measles-containing vaccine (MMR). To achieve greatest power to detect SNPs associated with measles-specific immune response phenotypes, we pooled our data across three genotyping platforms and three cohorts (US cohort, San Diego cohort and Rochester cohort).

  Study phs001630

• Single Cell Analysis Reveals Immune Dysfunction from the Earliest Stages of CLL that can be Reversed by Ibrutinib

  We applied single cell RNA sequencing to broadly characterize circulating immune cells co-existing with leukemic cells during natural chronic lymphocytic leukemia (CLL) progression. We used peripheral blood mononuclear cells from patients diagnosed from monoclonal B-lymphocytosis (MBL) and CLL at different time-points, and age-matched healthy donors (HDs). We analyzed the differences in cell type proportions and immune cell states between MBL/CLL patients and HDs and over time.

  Study phs002705

• Measurement of the Male Germline Mutation Rate Using Sequential Sperm Samples

  We recalled 23 sperm donors with prior banked samples to provide a new sperm sample. The old and new sequential sperm samples were then profiled by high-fidelity duplex sequencing to measure individual-specific mutation rates and patterns. We also performed deep whole-genome sequencing of sequential sperm samples from two individuals followed by targeted validation, which measured remarkably stable mosaicism of clonal mutations that likely arose during embryonic and germline development.

  Study phs003716

• Elucidation of the association between viruses and autoimmune diseases and COVID-19

  We determined the presence or absence of endogenous herpesvirus 6 (eHHV-6) and calculated annelovirus levels from whole genome sequencing of 2,238 patients with autoimmune diseases and 2,919 controls. We performed genome-wide association analysis using WGS of 22 eHHV-6B-positive cases and -negative cases. Single-cell RNA sequencing was performed using human peripheral blood mononuclear cells from 3 eHHV-6B-positive SLE patients and 5 -negative SLE patients.

  Study JGAS000741

• RNA sequencing of serial samples from patients enrolled in the NA-PHER2 trial

  Improved outcomes in HER2+ breast cancer have resulted from chemotherapy and anti-HER2 therapies. However, HER2+ER+ cancers exhibit lower response rates. The NA-PHER2 trial investigated chemo-free preoperative HER2 and CDK4/6 blockade with or without endocrine therapy in HER2+ER+ breast cancer. Through RNA sequencing and tumour infiltrating lymphocytes (TIL) assessment in serial biopsies we identified predictive biomarkers of pCR, Day 14 Ki67 response, and unveiled treatment-induced molecular changes.

  Study EGAS50000000248

• Bone marrow microenvironment of 6 newly diagnosed myeloma patients using 10X Genomics scRNA- and TCR-sequencing

  10X Genomics scRNA- and TCR-sequencing (Chromium Next GEM Single Cell 5’ Reagent Kit v1.1) was performed on the plasma cell depleted mononuclear fraction of bone marrow aspirates from 6 patients with newly diagnosed multiple myeloma. Generated gene expression libraries were paired-end sequenced on the NovaSeq 6000 S2. Generated V(D)J libraries were paired-end sequenced on the NextSeq 550.

  Dataset EGAD00001009270

• SPECIAL: scRNA-seq

  Tumour biopsies were collected from twenty-three patients (46 samples) (of which 20 were matched) with locally advanced or metastatic melanoma (stage IIIB – stage IV). Library construction was done either with the Chromium Single Cell 3ʹ GEM, Library & Gel Bead Kit v3 (n = 16; 10x genomics, Cat#1000092) or the Chromium Single Cell A Chip Kit and 5’ Library & Gel Bead Kit (10x genomics, Cat#1000014). All libraries were sequenced on Illumina NextSeq, HiSeq4000 or NovaSeq6000 until sufficient saturation was reached (60% on average). The reference genome used in this study was GRCh38.

  Dataset EGAD00001009291

• Transcriptomic analyses of a large cohort of adult B cell acute lyphoblastic leukemia

  Total mononuclear cells (MNC) were isolated from peripheral blood (PB) or bone marrow (BM) samples of 105 Ph-/-/- (B-cell acute lymphoblastic leukemia [B-ALL] triple negative) and 31 Ph+ B-ALL adult patients using Lymphosep (Biowest, Nuaillé, France). A total of 15 samples from healthy subjects were processed including hematopoietic stem-progenitor cells (CD34+) from bone marrow specimens (n = 3), and bone marrow mononuclear cell samples (n = 3) from STEMCELL Technologies (Vancouver, Canada). PB MNC samples (n=5) and cord blood samples (n = 4). CD34+ cells were enriched from cord blood samples by immunomagnetic separation (CD34 MicroBead Kit, Miltenyi Biotec, Bergisch Gladbach, Germany).Libraries were prepared using the TruSight RNA Pan-Cancer Panel Kit (Illumina, San Diego, California, USA), following the manufacturer’s protocol. Sequencing was performed using the Illumina MiSeq instrument.

  Dataset EGAD00001010837

• The Landscape of N-6 Methyladenosine in Primary Localized Prostate Cancer

  Using meRIP-sequencing, we profiled N-6 methyladenosine (m6A) in a cohort of 148 primary prostate cancer samples as part of the Canadian Prostate Cancer Genome Network project (CPC-GENE). Paired-end sequencing of 150 bp reads were mapped to GRCh38.p13 using annotations from gencode.v34.chr_patch_hapl_scaff.annotation.gtf. Peaks were called using MeTPeak, joint peaks were identified and IP reads were quantitated, normalized and adjusted using Input reads to obtain estimates of m6A abundance.

  Study EGAS00001006925

• RNA-seq of cultured human hematopoietic stem and progenitor cells from umblical cord blood in cytokine-rich ex vivo culture conditions following sphingolipid modulation

  In order to elucidate the biological pathways altered by sphingolipid modulation with N-(4-hydroxyphenyl) retinamide (4HPR) treatment in human HSPC that may contribute to the restraint in proliferation while promoting persistence of HSC self-renewal, as well as determine the mechanism of synergy in enhancement of HSC self-renewal with CB CD34+ agonists UM171 and StemRegenin 1 (SR1), we performed RNA-sequencing (RNA-Seq) of 3 pools of lin-CB cells following 2 or 4 days with DMSO, 4HPR, UM171+SR1 or 3-Factor (4HPR+UM171+SR1). We identified modulation of sphingolipid metabolism regulates self-renewal through activating coordinated stress pathways that coalesce on endoplasmic reticulum stress and autophagy programs.

  Dataset EGAD00001005140

• Maastricht IBS 16S data

  Maastricht IBS cohort with biobank aims to identify subgroups of IBS according to phenotypical and genotypical characterization. This dataset represents 16S amlicon sequencing of the gut microbiome of case samples and matched controls. Fecal DNA was extracted using the Qiagen AllPrep kit with bead-beating step. Sequencing of bacterial 16S gene, domain V4, was performed using the Illumina MiSeq platform.

  Dataset EGAD00001007074