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• Spatial transcriptomics experiment

  This dataset include all spatial transcriptomics experiments. Samples coming from the same patient were sequenced on the same flowcell. Patients PTC4 to PTC9 were also sequenced on the same flowcell, as well as ATC1 and ATC2 on another one, and ATC3A and ATC3B on another one.

  Dataset EGAD00001011365

• Papuan Genomes: high depth (30x) whole genome sequence data

  This dataset includes the whole genomes, sequenced to high depth (30x) of 25 individuals from Papua New Guinea. The individuals were chosen from several geographically distinct Papuan groups, focusing on the highland regions: Bundi, Kundiawa, Mendi, Marawaka and Tari.

  Dataset EGAD00001001634

• Warm_Autopsy_Single_Cell_X10

  Study of cell lineage and embryogenesis using biopsy samples from sites across the whole body (post mortem). Sample donors are recruited sensitively through the Phoenix study and consent to samples being taken after their death for both the Phoenix study and this WTSI study.

  Dataset EGAD00001003240

• Brain mets discovery cohort, orthogonal validation raw sequencing files

  These are the raw sequencing files for the orthogonal validation brain tumour samples in the discovery cohort.

  Dataset EGAD00001005985

• Study of Leukemia Stem Cells in B-ALL

  This study focused on the biologic properties of human B acute lymphoblastic leukemia (ALL) stem cells. We used human leukemia cell lines, primary patient specimens, and patient derived xenografts in experiments using ChIP-seq, bulk RNA sequencing, single cell RNA sequencing, and CITE-seq.

  Study phs002492

• cfRRBS methylation profiling of cfDNA from cerebrospinal fluid from pediatric CNS tumor patients

  In this study, we explore the potential of classifying pediatric brain tumors based on methylation profiling of the cell-free DNA in cerebrospinal fluid (CSF). For this proof-of-concept study, we collected 20 cerebrospinal fluid samples of pediatric brain cancer patients via a ventricular drain placed for reasons of increased intracranial pressure. For 11 patients in this study we collected matched tumor DNA. This cohort contains fastQ files of cfRRBS data of these samples.

  Dataset EGAD50000000554

• Detection of a recently described pre-T cell receptor-alpha immunodeficiency exclusively using whole genome sequencing

  In this study, we describe the role of whole genome sequencing (WGS) in providing a definitive diagnosis for a child with T cell deficiency, where targeted panel sequencing of SCID genes and whole exome sequencing had failed. A novel homozygous 8kb deletion in PTCRA, encoding pTCR, was identified. WGS sequence data from the proband, proband’s mother, and proband’s father are deposited.

  Dataset EGAD50000000866

• Epigenetic dysregulation in autism spectrum disorder

  Autism spectrum disorder (ASD) is a collection of neuro-developmental disorders characterized by deficits in social interaction and social communication, along with restricted and repetitive behaviour patterns. we globally interrogated the histone acetylomes of enhancers in a large cohort of ASD and control samples by analyzing tissue from three brain regions postmortem: prefrontal cortex (PFC), temporal cortex (TC) and cerebellum (CB). H3K27ac was selected as the representative acetylation mark and 288 ChIP-seq were performed on these postmortem samples.

  Dataset EGAD00001002725

• Somatic variants in 344 colorectal cancer samples

  The dataset contains somatic variants in 344 colorectal cancer samples. Variants are called with Mutect2 (GRCh38). Important: VCF-files include also variants, which have been annotated as "str_contraction" and "panel_of_normals". Please, use only "PASS" variants in studies, which are not microsatellite repeat related. Samples are sequenced with Novaseq 6000, HiSeq 2000, and HiSeq X Ten instruments (average coverage depth ~30+). The dataset consists of 257 MSS, 58 MSI, 25 MSS IBD, and 4 POLE mutant CRCs.

  Dataset EGAD00001006572

• Deep whole genome ctDNA chronology of treatment-resistant prostate cancer

  Circulating tumor DNA (ctDNA) in blood plasma is an emerging tool for clinical cancer genotyping and longitudinal disease monitoring. We performed deep whole-genome sequencing of serial plasma and synchronous metastases in patients with aggressive prostate cancer. We comprehensively assess all classes of genomic alterations and demonstrate that ctDNA harbors multiple dominant populations whose evolutionary histories frequently indicate whole-genome doubling and shifts in mutational processes. Although tissue and ctDNA showed concordant clonally-expanded cancer driver alterations, each individual metastasis contributed only a minor share of total ctDNA. By comparing serial ctDNA before and after clinical progression on potent androgen receptor (AR) pathway inhibitors, we reveal population restructuring converging solely on AR augmentation as the dominant genomic driver of acquired treatment-resistance. Finally we leverage nucleosome footprints in ctDNA to infer mRNA abundance in synchronously biopsied metastases, including treatment-induced changes in AR pathway transcriptional activity.

  Dataset EGAD00001008460

• PROMETEO

  The SOLTI-1503 PROMETEO trial was a single-arm, preoperative, window-of-opportunity phase II study conducted at four sites in Spain between December 2018 and February 2022. It enrolled female patients with operable HER2-negative breast cancer (triple-negative or Luminal B-like) and residual disease after neoadjuvant chemotherapy. Tumor biopsies were collected at five time points (baseline, post-NAC screening, C2D1, C3D1, and surgery) for translational research. This dataset includes raw paired-end RNA sequencing data (~110M reads per library) generated from the 113 biopy samples, archived in FASTQ format.

  Study EGAS50000001499

• Cystic fibrosis multi-omics study

  Cystic fibrosis (CF) is a genetic disorder affecting approximately 1 in 2,500 people in the UK. Here, we generated a number of high-throughput sequence data sets for monocytes and neutrophils from CF patients and matched healthy volunteers (HV); including ChIP-Seq (H3K27Ac), chromatin accessibility (ATAC-Seq), and transcript/gene expression (RNA-Seq) data. Analysis of gene expression and epigenetic profiles demonstrates a robust innate immune gene expression profile that distinguishes CF and HV during periods of disease exacerbation. Upregulation of pathways responsible for the production of proinflammatory cytokines is described.

  Study EGAS00001006421

• Single-cell transcriptomics identifies pathogenic T-helper 17.1 cells and pro-inflammatory monocytes in ICI-related pneumonitis

  ICI-pneumonitis is a frequent serious adverse event of cancer immunotherapy hinging on a cell-mediated immune response, though the exact pathophysiology is currently unknown. Using single-cell transcriptomics, an enrichment of pathogenic (TBX21, RORC, IFNG, IL17A, CSF2 expressing) T-helper 17.1 cells and pro-inflammatory (TNF, IL1B, IL6, IL23A expressing) monocytes was identified in ICI-pneumonitis bronchoalveolar lavage fluid, putatively engaging in a feedforward inflammatory loop. This finding yields several novel therapeutic targets for the treatment of ICI-pneumonitis. Most notably repurposing anti-IL-23 merits further research as a potential efficacious and safe treatment for ICI-pneumonitis.

  Study EGAS00001006762

• PML complete dataset

  We generated single-cell transcriptomics, single-nuclei chromatin accessibility, CITE-seq and Multiomics of patients with PML. Pools are genetically multiplexed across donors, genotypic variation is included in this dataset to enable demultiplexing.

  Dataset EGAD50000000197

• Olink Target Protein Expression

  Olink Target 96 Inflammation panels were applied to nasal secretions (DC, CRSsNP, CRSwNP, N-ERD, n=20 each). Across both panels, 184 assays (180 unique proteins) were determined, of which 4 appeared in both panels and were measured twice (CCL11, IL10, IL5, IL-6)

  Dataset EGAD50000001328

• Bulk RNA sequencing of metastatic colorectal cancer patient-derived xenografts with known response to irinotecan

  Standard polyA enriched RNA-seq profiles of patient-derived xenograft (PDX) models from NOD/SCID mice without treatment. These PDX are obtained from tumors from patients with metastatic colorectal cancer after serial passaging in mice.

  Dataset EGAD50000002138

• Personalised therapy with MEK inhibition leads to a sustained complete response in an adolescent patient with a recurrent malignant peripheral nerve sheath tumor

  Whole genome sequencing of tumour (90X) - normal (30X) patient pair and bulk transcriptome sequencing (80M PE reads) of tumour sample.

  Dataset EGAD00001006793

• Neuroblastoma hybrid capture sequencing panel

  Patient neuroblastoma hybrid capture sequencing panel. 5 samples from 2 donors (BAM files). For each donor, we obtained neuroblastoma tumor samples and neuroblastoma ALKi resistant samples. This dataset was used to study ALKi resistance in neuroblastoma.

  Dataset EGAD00001008343

• WGS and WTS data for manuscript titled: Pathologist-initiated whole genome and transcriptome sequencing demonstrates diagnostic utility in resolving difficult-to-diagnose tumors

  Illumina platform sequencing of whole genome libraries prepared from normal and cancer samples and whole transcriptome libraries from cancer samples from 45 donors

  Dataset EGAD00001015615

• TRACERx esophageal adenocarcinoma multi-region NGS

  This dataset contains whole exome data from 8 esophageal adenocarcinoma tumors, that has been subjected to multiregion sequencing, ranging from 3-8 regions per tumor. In total, 40 tumor samples and 8 normal blood samples have been sequenced on Illumina HiSeq 2500 at a median dept of 90x.

  Dataset EGAD00001001364

• Enhancing OSCC Prediction: The Prognostic Power of WPOI and Tumor Budding, and the Limited Impact of Molecular Resection Margins

  This dataset contains sequences with results of mutations observed in patients with oral squamous cell carcinoma. Mutations were detected by NGS in tumor tissue, tumor margins, and peripheral blood as a healthy control. Study was using a panel of 88 cancer-related genes, which were selected based on a literature search.

  Study EGAS50000000074

• IntEnd study

  Formalin-fixed, paraffin-embedded samples from 643 colorectal adenomas collected in different hospitals in Norway, from which DNA was extracted, were analysed for DNA copy number alterations. Some adenomas had more than one block (n=42), thus 643 individuals, 685 blocks. Low-coverage whole genome sequencing was run in all samples. For 529 individuals all the clinical information was available. A subset was matched for follow-up time, age and sex in a nested case-control approach (n=366; cases - individuals who developed later on CRC; controls - individuals who did not develop CRC within the same follow-up time).

  Dataset EGAD00001010119

• Epigenomes and Transcriptomes of Brain Samples of Schizophrenics and Controls

  We examined the effects of antipsychotic medications on the cell-specific epigenomics and transcriptomics in the frontal cortex of schizophrenic subjects. We performed ChIP-seq (H3K4me3 and H3K27ac) and RNA-seq on neuronal and non-neuronal nuclei of postmortem frontal cortex samples from two cohorts of schizophrenics, either previously treated or not with antipsychotic medications, and control subjects individually matched by sex and age. In total, we tested 29 schizophrenics (15 untreated and 14 treated patients) and their matched control samples. Two replicates were produced on each brain sample for each assay. ChIP-seq data were generated using MOWChIP-seq (Zhu et al., PMID: 31666743) and RNA-seq data were produced using the combination of SMART-seq2 (Picelli et al., PMID: 24385147) and a Nextera XT DNA library preparation kit. The filename contains the information on the experimental group, the number of the sample within the group, the type of the brain nuclei, the epigenomic/transcriptomic data set (either H3K27ac or mRNA), and the number of replicate. For example, “SCZ-1-untreated-neuron-H3K4me3-R1” refers untreated schizophrenic sample #1, replicate 1 ChIP-seq data on H3K4me3.

  Study phs002487

• RNA-Seq of human longitudinal whole blood samples from PCR-positive and PCR-negative recent household contacts of COVID-19 index cases.

  Little is known about the transcriptomic profile of individuals who are exposed to SARS-CoV-2 yet resist becoming PCR positive. To investigate this, longitudinal whole-blood samples were taken (0, 7, 14, and 28 days after enrolment) from PCR positive and PCR negative SARS-CoV-2-naïve household contacts who were recently exposed to a COVID-19 index. Samples were also taken from pre- and post-pandemic unexposed controls. Total RNA was extracted from PAXgene tubes before undergoing poly(A) selection followed by globin and rRNA depletion. DNA libraries were constructed using the NEBNext® Ultra™ II Directional RNA Library Prep Kit for Illumina. All samples were then sequenced across 2 flowcells of an Illumina HiSeq 4000.

  Dataset EGAD50000000684

• Spatial profiling of hepatocellular carcinoma identifies distinct tumor and immune micro-ecosystems related to patient outcomes

  Hepatocellular carcinoma (HCC) shows substantial intra-tumor heterogeneity that remains poorly understood. Using spatial transcriptomics, we identified 13 recurrent tumor and stromal micro-ecosystems (MES) and mapped their spatial organization and biological functions. One immune-enriched MES containing Kupffer cell–like macrophages was strongly associated with improved disease-free survival and response to atezolizumab–bevacizumab. Our findings demonstrate the value of spatial profiling for revealing rare but clinically meaningful cellular communities.

  Study EGAS50000001474