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• Transcriptome Sequencing PPGL (2)

  RNA-Seq data (n=81) library preparation was performed as previously reported by Calsina et al 2023 using QuantSeq 3' mRNA-Seq Library Prep Kit FWD for Illumina (Lexogen, 015). The prepared libraries were subsequently sequenced on NovaSeq™ system (Illumina). To combine the new CNIO samples (n=81) with the CNIO+TCGA dataset generated in Calsina et al., 2023, RNA data were processed using ComBat-seq as described in that same article.

  Study EGAS50000000013

• CIDR: Molecular Pathological Epidemiology of Colorectal Cancer

  Colorectal cancer, the second most commonly diagnosed cancer is a biologically heterogeneous disease. To characterize the molecular attributes of colorectal tumors, we conducted targeted sequencing at the Center for Inherited Disease Research (CIDR) on 4,518 tumor and matched normal DNA samples from the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO) and the Colon Cancer Family Registry (CCFR). These consortia are based on cohort and population-based case-control studies.

  Study phs001905

• Targeting Heterochromatin Eliminates Malignant Stem Cells in Chronic Myelomonocytic Leukemia Through Reactivation of Retroelements and Innate Immune pathways

  Hematopoietic stem cell (HSC) aging involves heterochromatin reorganization. These repressive marks together with DNA methylation are essential for suppressing transposable elements (TEs). In this study we analyze heterochromatin and transcriptomic changes occurring at genes and TEs in HSCs from chronic myelomonocytic leukemia, a severe myeloid malignancy affecting the elderly, compared to age-matched cells, and in the presence or absence of a combination of epidrugs.

  Study EGAS50000000367

• Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols [scRNAseq]

  Single-cell RNA-sequencing of brain organoids at day 120 grown in four distinct growth protocols designed to generate dorsal (D) and ventral (V) forebrain, midbrain (M) and striatum (S) tissue using eight different pluripotent stem cell lines. Per per cell line-protocol combination two organoids (biological replicates) were grown. For cell line 176 the experiment was conducted in two independent biological replicates (repititions E1 and E2).

  Study EGAS50000000662

• Targeting Heterochromatin Eliminates Malignant Stem Cells in Chronic Myelomonocytic Leukemia Through Reactivation of Retroelements and Innate Immune pathways

  Hematopoietic stem cell (HSC) aging involves heterochromatin reorganization. These repressive marks together with DNA methylation are essential for suppressing transposable elements (TEs). In this study we analyze heterochromatin and transcriptomic changes occurring at genes and TEs in HSCs from chronic myelomonocytic leukemia, a severe myeloid malignancy affecting the elderly, compared to age-matched cells, and in the presence or absence of a combination of epidrugs.

  Study EGAS50000000688

• WES Breast Patient-derived Tumor Organoid

  This dataset includes 18 Whole Exome Sequencing (WES) samples from 5 subjects. WES is performed on a matched pair of case/control samples, e.g., tumor/control or organoid/control. For each patient, the same control sample is used for the analysis of tumor and organoid samples. The sample name structure identifies the type of sample: <subjectId>_[TON][12]_[Case|Ctrl]_EX2; where T, O, and N refer to Tumor tissue, Organoid, and control sample, respectively. The number 1 or 2 refers to the specific tissue, and Case and Ctrl indicate a tumor tissue (or organoid) and a control sample, respectively. For example, ICSBCS007_T1_Case_EX2 is the first tumor tissue of subject ICSBCS007; ICSBCS007_O1_Case_EX2 is the tumor organoid derived from that tumor sample, and ICSBCS007_N1_Ctrl_EX2 is the matching control sample. More information can be found in the sample information table.

  Dataset EGAD50000000961

• MRC 60 snRNA-seq

  This dataset includes snRNA-seq generated from post-mortem brain and genotype from 60 individuals. The snRNA-seq data was generated using the 10X Single Cell Next GEM Chip targeting a minimum 5,000 nuclei per sample and libraries prepared using the Chromium Single Cell 3′ Library and Gel Bead v3 kit according to manufacturer’s instructions. cDNA libraries were sequenced using the Illumina NovaSeq 6000 system at a minimum sequencing depth of 30,000 paired-end reads per nucleus. Samples were pooled (max 4 per pool) and sequenced over 4 lanes. Pool-specific genotype files (containing genotype information at individual level) were used to demultiplex mapped pools into individual-level single-cell data. Donor DNA from samples processed at Imperial College were genotyped using the Illumina Infinium Global Screening Array v2.0.

  Dataset EGAD50000000965

• Oesophageal adenocarcinoma scRNAseq from LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19)

  This dataset contains single-cell RNA-seq generated from the LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19) and additional donors with Barrett's oesophagus using the 5' Single Cell Gene Expression assay from 10x Genomics. Samples were generated from oesophageal tumours, Barrett's oesophagus, and normal oesophagus and gastric tissues, with the aim of generating a reference atlas for cell types found in normal and disease-associated tissue states in the upper GI tract. This reference atlas was used as the basis for a deconvolution workflow to estimate the cell composition of bulk transcriptomes from these tissues, and to assess cell type-specific expression patterns of potential predictive biomarkers for immunochemotherapy regimens in this setting.

  Dataset EGAD00001009401

• Patient-derived models of primary breast cancer for preclinical development of novel neoadjuvant therapies

  Generation of the first large-scale cohort of mouse intraductal patient-derived xenograft (MIND-PDX) models of primary invasive breast cancer (IBC) and a collection of matched PDX-derived organoids (PDXO) representing all molecular subtypes of IBC, including estrogen receptor (ER-) positive breast cancer. Furthermore, we show that our IBC-MIND cohort can serve as a platform to test experimental neoadjuvant treatment options in different molecular subtypes of breast cancer.

  Study EGAS50000000398

• Understanding Determinants of Racial Disparities in Lung Cancer Incidence

  This is a nested case-control study designed to evaluate the association between common genetic variants and the risk of lung cancer. The study included 1258 cases and 1252 controls selected from the Southern Community Cohort Study (SCCS), a large, prospective observational cohort. Cases were identified from cancer registries across the catchment area of the SCCS. Cases and controls were frequency matched on age, sex, race, and enrollment site (community health center vs general population).

  Study phs003789

• Genomics Analysis Reveals Molecular Patterns of Tumorigenesis in HPV-Associated and HPV-Independent Sinonasal Squamous Cell Carcinoma

  The goal of this study was to identify molecular mechanisms of tumorigenesis in HPV-associated and HPV-independent sinonasal carcinoma using high-throughput sequencing approaches. Whole genome sequencing was performed for HPV-associated samples and whole exome sequencing for HPV-independent samples. Ultimately, we identified distinct molecular patterns of tumorigenesis between HPV-associated and HPV-independent disease. Data from patients for which informed consent allowed public sharing are included here.

  Study phs003591

• Epigenetic and transcriptional profile of memory B cells in Multiple sclerosis

  Methylome and transcriptome data of non-proliferating and autoproliferating memory B cells (CD27+) from Multiple sclerosis patients under natalizumab treatment, that have been generated and analyzed for the study "T-bet+ CXCR3+ B cells drive hyperreactive B-T cell interactions in multiple sclerosis". Aim is to understand epigentic and transcriptional differences in activated memory B cells in MS and how epigentic differences translated in transcriptional changes in the same patient.

  Study EGAS50000000872

• Genetic subtyping by Whole Exome Sequencing across Diffuse Large B Cell Lymphoma and Plasmablastic Lymphoma.

  99 FFPE derived tumor tissue DNA, 9 circulating tumor DNA samples and 38 paired germline DNA were used. A library containing whole exome regions was used to isolate the DNA for sequencing (SureSelect XT Human All Exon V6 (Agilent technologies)). Sequencing on a NovaSeq 6000 instrument (Illumina, paired end, 2x100, mean 566Gb per FlowCell) at the National Genomic Analysis Center (CNAG, Barcelona, Spain) was performed.

  Study EGAS50000000371

• EASI-Genomics GM21886 Cell Line High Molecular Weight DNA Sequencing

  An interlaboratory study was performed with GM21886 cells to evaluate methods for high molecular weight (HMW) genomic DNA extraction and compare sample and sequencing QC metrics, and pipelines for structural variant (SV) calling. Four laboratories prepared HMW genomic DNA using four alternative extraction methods FireMonkey (Revolugen), Genomic Tip (QIAGEN), Nanobind (Circulomics), and Puregene (QIAGEN), followed by Short Read Elimination (Circulomics) and long-read sequencing with MinION and PromethION flowcells (Oxford Nanopore Technologies).

  Study phs003958

• Indonesian Microbiome Ecology and Evolution v1 (raw data)

  This dataset comprises 124 human faecal samples collected across Indonesia between 2015 and 2021, together with 6 controls. It was collected to study patterns of human microbiome variation across Indonesia’s diverse geography and lifestyles, and to generate the Indonesian Microbiome Ecology and Evolution (IndoMEE) metagenome-assembled genome (MAG) reference database. The dataset consists of 250 bp paired-end metagenomic reads from 124 faecal samples acquired from 116 individuals, at ca. 10.6 Gb / sample, together with 2 positive controls (ZymoBIOMICS Microbial Community DNA Standard by Zymo Research Cat# D6305), and 4 negative controls (for sampling: Blank, for extraction: Buffer EB by Qiagen Cat# 19086, for library prep: Nuclease Free Water by Ambion-Invitrogen Cat# AM9937). Library preparation was carried out using Illumina's TruSeq DNA Nano DNA kit, and sequencing was performed on the Illumina NovaSeq 6000 platform.

  Dataset EGAD50000001399

• Single-cell transcriptomic analyses of peripheral blood mononuclear cells, peritoneal fluid, and peritoneal metastases from patients with colorectal cancer

  The data published here contains single-cell RNA- sequencing (scRNAseq) on peripheral blood mononuclear cells (PBMC), peritoneal fluid (PF), and peritoneal metastases (PM). PBMC, PF and, where possible, PM was acquired from patients with colorectal cancer (CRC) and subjected to 3' scRNAseq using the 10X Genomics (Chromium Single Cell 3’ Reagent). Sequencing was performed in a paired-ended fashion on either the HiSeq4000 or the NovaSeq6000.

  Study EGAS50000000173

• Single-cell RNA-sequencing and cellular indexing of transcriptomes and epitopes of peripheral blood mononuclear cells and peritoneal fluid from patients with achalasia

  The data published here contains cellular indexing of transcriptomes and epitopes (CITE-seq) and single-cell RNA- sequencing (scRNAseq) data on patients with achalasia. Paired PBMC and PF were subjected to 3' scRNAseq and CITE-seq, respectively. All single-cell data was generated using the 10X Genomics (Chromium Single Cell 3’ Reagent) and sequenced in a paired-ended fashion on the NovaSeq6000.

  Study EGAS50000000174

• Skin Microbiome of Monogenic Skin Disorder

  Ichthyosis introduces multiple sources of disturbance to the skin, including the direct biochemical consequences of the genotype, the phenotypic changes in skin physiology, and an altered skin microbiome. The association between changes in the skin microbiome and the disease's genotypic and phenotypic effects are historically obscured. Here we characterize the skin microbiome of healthy participants and ichthyosis patients, before assessing the association between these microbiome features and the ichthyosis genotype and phenotype while adjusting for contextual host covariables.

  Study phs003799

• Characteristics and Inflammatory Markers in Children with Eosinophilic Esophagitis (EoE)

  The overall protocol for the samples used in this study collects medical information, blood, and biopsy samples from children with eosinophilic esophagitis (EoE) over time to understand clinical characteristics and disease pathogenesis. Our patient population has confirmed EoE and symptoms of esophageal dysfunction characteristic endoscopic findings of EoE. Fibroblasts isolated from esophageal tissue samples from 2 subjects with active EoE and 2 control subjects were evaluated using single cell RNA-sequencing (scRNA-seq).

  Study phs003869

• Genomic Profiling of an anti-PD-L1 treated cohort of Newly Diagnosed GBM patients

  Checkpoint inhibitor therapy has limited efficacy in the outcomes of patients with glioblastoma (GBM). This study involves whole exome sequencing of newly diagnosed glioblastoma patients treated with concurrent atezolizumab, radiation therapy, and temozolomide. By analyzing 29 tumor-normal pairs, the study aims to explore the correlation between tumor genomics and the efficacy of PD-L1 blockade treatment outcomes and further identify which patients may benefit more from such therapy.

  Study EGAS50000000783

• Long-read whole genome sequencing as a tool for variant detection in inherited retinal dystrophies

  Advances in whole-genome sequencing (WGS) have significantly enhanced our ability to detect genomic variants underlying inherited diseases. In this study, we performed long-read WGS on 24 patients with inherited retinal dystrophies (IRDs) to validate the utility of nanopore sequencing in detecting genomic variations. We confirmed the presence of all previously detected variants and demonstrated that this approach allows for precise refinement of structural variants (SVs). Furthermore, we could perform genotype phasing by sequencing only the probands, confirming variants were inherited in trans. Moreover, nanopore sequencing enabled the detection of complex variants, such as transposon insertions and structural rearrangements. This comprehensive assessment illustrates the power of long-read sequencing in capturing diverse forms of genomic variation and in improving diagnostic accuracy in IRDs.

  Dataset EGAD50000001238

• Low T cell diversity is associated with poor outcome in bladder cancer - Single cell RNAseq and TCRseq data

  T cells are crucial effector cells in the endogenous defense against cancer, yet the clinical impact of their quantity, diversity, and dynamics remains underexplored. In this study we performed single cell RNAseq paired with single cell TCR-seq on tumor and blood samples from 4 patients (n samples = 8). The goal was to investigate T cell subtypes of expanded and non-expanded T cell clones in blood and in tumors.

  Study EGAS50000000938

• Bulk RNA-sequencing data of advanced hepatocellular carcinoma (HCC) patients treated with atezolizumab plus bevacizumab.

  The dataset includes FASTq files and normalised gene expression counts from bulk RNA-sequencing of pre-treatment tumour (n=39) and adjacent non-tumour tissue samples (n=13) from advanced hepatocellular carcinoma (HCC) patients treated with atezolizumab plus bevacizumab. Specifically, RNA was extracted from the FFPE tumour tissue using RNeasy Plus Mini Kit (Qiagen), according to the manufacturer’s instructions. RNA quality and quantity were evaluated using Agilent RNA 600 Pico Chips (Agilent Technologies). Sequencing libraries were prepared using the SMARTer Stranded Total RNA-seq kit v3 (Takara Bio). Sequencing was performed on an Illumina NovaSeq 6000 system. After obtaining the Fastq files, read 2 UMIs and adapters were trimmed using seqtk (v1.2), reads were aligned using STAR (v2.7.7a) to the human reference genome (GRCh38) and quantified with HTSeq (v2.0.2).

  Dataset EGAD50000001227

• Total RNA expression in benign ovarian and malignant ovarian tumours

  This study investigates the total RNA expression profiles of fresh-frozen ovarian tumors, providing a comprehensive analysis of 112 samples from 111 women in Sweden, two samples being replicates. The dataset includes 18 benign and 94 malignant tumours, collected as part of the U-CAN initiative from Uppsala Biobank. The sequencing data offers valuable insights into ovarian tumour biology and can be used to enhance understanding of tumour classification and molecular characteristics.

  Study EGAS50000001045

• Intratumoral Heterogeneity and Clonal Evolution Induced by HPV Integration

  The human papillomavirus (HPV) genome is integrated into host DNA in most HPV-positive cancers, but the consequences for chromosomal integrity are unknown. We used continuous long-read sequencing of oropharyngeal cancers and cervical cancer cell lines to resolve structural variation induced by HPV. We discovered a previously undescribed form of structural variation, "heterocateny," characterized by diverse, interrelated, and repetitive patterns of concatemerized virus and host DNA segments within a cancer.

  Study phs003396