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• Investigating_low_frequency_variants_in_CAD_MI_cases__controls_and_pedigrees_using_whole_exome_sequencing_and_custom_pulldowns

  The Cardiogenics re-sequencing study will consist of three parts: Eight pools of 25 individuals will be sequenced using a Nimblegen hybrid-capture solution specific to miRNA sequences, 80 pools of 25 individuals will be sequenced using a custom Agilent SureSelect array covering genes associated with coronary artery disease (CAD) and myocardial infarction (MI), 10 individuals from families with a history of CAD/MI will be exome sequenced using the Sanger exome array. The experiment will use the early onset patients from the German MI cohort and the UK BHF CAD/MI cohort both of which have strong family history. For controls we will consider individuals from the UKBS and KORA cohorts.

  Study EGAS00001000050

• RNA sequencing from patient-derived intestinal organoids

  RNA from the duodenal organoids was isolated using an RNeasy Kit (Qiagen, Hilden, Germany) following the manufacturer’s instructions. RNA purity and concentration were measured using a NanoDrop One spectrophotometer (NanoDrop Technologies, Wilmington, Delaware, USA). Preparation of the RNA library and transcriptome sequencing was conducted by Novogene Co., LTD (Cambridge, UK). Messenger RNA was purified from total RNA using polyA selection and subjected to library construction. Sequencing was performed on an Illumina platform, and 150 bp paired-end reads were generated.

  Study EGAS50000000338

• Smart-seq 2 single cell sequencing of CD4 and CD8 T cells from the blood and synovial fluid of 4 psoriatic arthritis patients.

  This dataset was used to characterise T cell gene expression and clonality at sites of active inflammation within the joints of psoriatic arthritis (PsA) patients, and to compare these results with T cells from the peripheral blood of those same patients. Freshly sorted CD45RA negative CD3+CD4+ and CD3+CD8+ single cells from four patients were individually flow sorted into 96-well full-skirted plates (Eppendorf) containing 10µL of a 2% Dithiothreitol (DTT, 2M Sigma-Aldrich), RTL lysis buffer (Qiagen) solution. Cell lysates were sealed, mixed and spun down before storing at -80 ºC. Paired-end multiplexed sequencing libraries were prepared following the Smart-seq 2 protocol using the Nextera XT DNA library prep kit (Illumina). A pool of barcoded libraries from four different plates were sequenced across two lanes on the Illumina HiSeq 2500.

  Dataset EGAD00001006342

• Cell-free DNA and bone marrow samples from myelodysplastic syndromes

  We have assessed the molecular profile of a cohort of 70 patients with MDS by next-generation sequencing (NGS) using cfDNA and compared the results to paired bone marrow (BM) DNA. Sequencing of BM DNA and cfDNA showed a comparable mutational profile and variant allele frequencies (VAF) strongly correlated between both sample types. Our results support the analysis of cfDNA as a promising strategy for performing molecular characterization, detection of chromosomal aberrations and monitoring of MDS patients.

  Study EGAS00001005992

• DAC Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma

  Data access requests for the raw data used in publication "Longitudinal Multi-Omics Study Reveals Molecular Drivers and Tumor Microenvironment in Extramedullary Multiple Myeloma"

  Dac EGAC50000000016

• Akershus University Hospital Data Access Committee for Immunoglobulin Heavy-Chain locus in Multiple Sclerosis datasets in FEGA Norway

  This is the Data Access Committee appointed by Akershus University Hospital (AHUS) for datasets from Immunoglobulin Heavy-Chain locus in Multiple Sclerosis studies.

  Dac EGAC50000000659

• Microbial infections in Alzheimer’s patients

  In the present study, we have examined fungal and bacterial infection in brain tissue from 10 AD patients and 16 control subjects by next-generation sequencing NGS using MiSeq sequencing platform (Illumina).

  Dataset EGAD00001003886

• Single cell T cell Landscape and T Cell Receptor Repertoire Profiling of AML in Context of PD-1 Blockade Therapy

  Eight pretreatment and 14 posttreatment bone marrow (BM) aspirates from 8 patients with R/R AML treated with azacitidine and nivolumab along with 2 control BM from healthy donors were profiled with scRNA sequencing with matching scTCR -, scBCR - and scATAC sequencing. Additionally, the targeted DNA sequencing in at least 1 time point per patient (total evaluated 17/22 samples, two samples were performed using CLIA-certified molecular diagnostic assay and data is not available) was performed. The Fastq files and/or bam files are available in this dataset.

  Study EGAS00001004894

• The role of MALT1 in driving IBN resistance in MCL

  The bulk RNA-seq dataset was generated for the cell lines below and used for two major purposes: 1. DEG analysis and GSEA analysis comparing IBN-R and IBN-S cells 2. DEG analysis and GSEA analysis comparing MCL cells with/without MI-2 treatment.

  Study EGAS00001006832

• Highlighted samples from the BCH CRDC

  These exomes are from some of the patients and family members detailed in our forthcoming publication, Children’s Rare Disease Cohorts: an integrative research and clinical genomics initiative. While this paper details an institutional collection of exomes, the samples here were specifically highlighted as having significant findings.

  Study EGAS00001004436

• Homopolymer switches WES dataset

  This project used NGS (next generation sequencing) in mismatch repair deficient colorectal cancer samples. The project investigated the role of secondary MMR (mismatch repair) gene mutations in tumor evolution. This dataset includes BAM files from multi-region Whole Exome Sequencing of 49 samples from 22 patient tumors.

  Dataset EGAD50000000319

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

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

  Dataset EGAD50000000344

• Tumor Profiler Project - MEL bulk transcriptomics data

  The dataset contains bulk transcriptomics data from 80 samples from 77 different patients with melanoma. Samples were collected from the tumor. Sequencing was performed in paired-end mode and sequencing data is provided in fastq format.

  Dataset EGAD50000000851

• Tumor Profiler Project - MEL scDNA data

  The dataset contains 10x Chromium single-cell DNA sequencing data from 63 samples from 60 different patients with melanoma. Samples were collected from the tumor. Sequencing was performed in paired-end mode and sequencing data is provided in fastq format.

  Dataset EGAD50000000852

• Subset of EGAS00001004662 WGS data (2 tumor/control pairs) which are used in EGAS00001004813 (Titel: Comprehensive Genomic and Transcriptomic Analysis of Rare Cancers for Guiding of Therapy (H021))

  Part of the published data from EGAS00001004662 resulted in the publication of this study EGAS00001004813

  Dataset EGAD00001008906

• CLL2 dataset used in FLTseq paper

  This dataset contains CLL2 data used in FLTseq paper. The dataset contains the data of CITEseq, FLTseq, RaCHseq, Exonseq and bulk RNAseq.

  Dataset EGAD00001008114

• WGS on patients 5-7, study of metastatic prostate cancer

  Data from the study of subclonal metastatic expansion in prostate cancer. Whole genome shotgun sequencing of six samples, tumour and whole blood, from the three additional patients whose somatic variants were examined in depth.

  Dataset EGAD00001001344

• circulating-tumor DNA sequencing of healthy samples

  In this study we have sequenced the TP53 gene (exons) from circulating-tumor DNA of 125 controls samples. Each ctDNA samples was sequenced independently twice.

  Study EGAS00001003989

• Analysis of enhancer-promoter connectivity alterations

  The study uncovers epigenomic changes associated with dexamethasone response heterogeneity in myeloma cells, revealing rewired promoter-enhancer interactions and DNA loop stabilization

  Study EGAS00001007411

• Exploring_the_landscape_of_somatic_mutations_in_normal_tissue___GI___LYNCH___WGS

  Somatic mutations (burdens and signatures) and clonal dynamics in normal human tissues from the gastrointestinal tract of individuals with tumour predisposition syndromes and DNA damage repair defects.

  Study EGAS00001003882

• Exploring_the_landscape_of_somatic_mutations_in_normal_tissue___GI___MAP___WGS

  Somatic mutations (burdens and signatures) and clonal dynamics in normal human tissues from the gastrointestinal tract of individuals with tumour predisposition syndromes and DNA damage repair defects.

  Study EGAS00001004122

• SNV and indel calls from 8086 individuals in the British Autozygosity Populations BioResource dataset

  This includes variant calls (single nucleotide variants and small insertions/deletions) from 8086 (mostly British Pakistani/British Bangladeshi) individuals from the following studies: 1. 3781 British Pakistani/British Bangladeshi adults from East London Genes and Health 2. 2791 British South Asian mothers from Born in Bradford 3. 1428 British South Asian adults from Birmingham 4. 86 individuals (mixed ancestries) from families with rare diseases, from Queen Mary University London All of the Birmingham and most of the Born in Bradford samples were previously sequenced as part of PMID: 26940866. Mapping was done with bwa-mem and variant calling was carried out with GATK HaplotypeCaller. We removed variant sites for which the following was true: SNPs: "QD < 2.0 || FS > 30 || MQ < 40.0 || MQRankSum < -12.5 || ReadPosRankSum < -8.0" Indels: "QD < 2.0 || FS > 30 || ReadPosRankSum < -20.0"

  Dataset EGAD00001004581

• Influence of culture media on airway differentiation at the Air-Liquid Interface

  Single-cell dataset of human airways after in vitro regeneration at the Air-Liquid Interface. Samples from 2 donors were used for the establishment of Human Bronchial Epithelial Cell cultures (HBECs) and were analyzed during proliferation, at the onset of differentiation (ALI0) and after full differentiation (ALI28), in 4 distinct culture media. Single-cell RNAseq was performed with 10x Genomics 3’ v2 RNA-seq using hashtag antibodies for multiplexing, and sequenced on a NextSeq 500. Samples from 3 additional donors were used for the establishment of Human Nasal Epithelial Cell cultures (HNECs) and were analyzed during proliferation in three distinct culture media. Single-cell RNAseq was performed with 10x Genomics 3’ v3 RNA-seq without multiplexing, and sequenced on a NextSeq 2000.

  Dataset EGAD00001011362

• Role of cohesin/CTCF in human monocyte differentiation

  Here we study genome architecture in a postmitotic differentiation setting, the differentiation of human blood monocytes (MO). We profiled and compared epigenetic, transcriptome and 3D conformation landscapes during MO differentiation (either into dendritic cells or macrophages) across the genome, with and without siRNA-mediated depletion of RD21 or CTCF, and detected numerous architectural changes, ranging from higher level compartments

  Study EGAS00001005508

• DNA Replication Speed controls Epigenome Integrity and T Cell Fate

  Epigenetic mechanisms maintain cellular identities by enforcing stable, cell type-specific transcriptional programs while also allowing regulated plasticity for adaptations to environmental cues like differentiation signals. Dysregulation of this dual capacity has been linked to cancer and chronic inflammation, with the regulatory mechanisms remaining poorly understood. Here, we identify DNA replication speed as a physiological regulator controlling epigenome stability and plasticity. Using T-lymphocytes as a model, we demonstrate that fast DNA replication speed impaired epigenome stability, causing DNA methylation maintenance errors at cell type-specific enhancers and heterochromatin, ultimately leading to compromised cell function. However, accelerated DNA replication speed supported epigenome plasticity during differentiation, promoting successful cell-type transitions

  Study EGAS50000001273