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• Acute_Lymphoblastic_Leukemia_Exome_sequencing_2_

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Acute Lymphoblastic Leukemia samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped build 37 of the human reference genome to facilitate the identification of novel cancer genes. In addition, 500bp, NO_PCR total genomic libraries will be prepared from the same samples and five lanes of Illumina GA sequencing will be analysed to characterise genome wide, somatically acquired structural variation.

  Study EGAS00001000200

• Acute_Lymphoblastic_Leukemia_Exome_sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Acute Lymphoblastic Leukemia samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped build 37 of the human reference genome to facilitate the identification of novel cancer genes. In addition, 500bp, NO_PCR total genomic libraries will be prepared from the same samples and five lanes of Illumina GA sequencing will be analysed to characterise genome wide, somatically acquired structural variation.

  Study EGAS00001000201

• Myeloproliferative_Disorder_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 myeloproliferative disorder samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes. In addition, 500bp, NO_PCR total genomic libraries will be prepared from the same samples and five lanes of Illumina GA sequencing will be analysed to characterise genome wide, somatically acquired structural variation.

  Study EGAS00001000198

• Myeloproliferative_Disorder_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 myeloproliferative disorder samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes. In addition, 500bp, NO_PCR total genomic libraries will be prepared from the same samples and five lanes of Illumina GA sequencing will be analysed to characterise genome wide, somatically acquired structural variation.

  Study EGAS00001000199

• Acute_Lymphoblastic_Leukemia_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Acute Lymphoblastic Leukemia samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped build 37 of the human reference genome to facilitate the identification of novel cancer genes. In addition, 500bp, NO_PCR total genomic libraries will be prepared from the same samples and five lanes of Illumina GA sequencing will be analysed to characterise genome wide, somatically acquired structural variation.

  Study EGAS00001000058

• Hominin-specific NOTCH2 paralogs expand human cortical neurogenesis through regulation of Delta/Notch interactions.

  The human cerebral cortex has undergone rapid expansion and increased complexity during recent evolution. Hominid-specific gene duplications represent a major driving force of evolution, but their impact on human brain evolution remains unclear. Using tailored RNA sequencing (RNAseq), we profiled the spatial and temporal expression of Hominid-specific duplicated (HS) genes in the human fetal cortex, leading to the identification of a repertoire of 36 HS genes displaying robust and dynamic patterns during cortical neurogenesis. Among these we focused on NOTCH2NL, previously uncharacterized HS paralogs of NOTCH2. NOTCH2NL promote the clonal expansion of human cortical progenitors by increasing self-renewal, ultimately leading to higher neuronal output. NOTCH2NL function by activating the Notch pathway, through inhibition of Delta/Notch interactions. Our study uncovers a large repertoire of recently evolved genes linking genomic evolution to human brain development, and reveals how hominin-specific NOTCH paralogs may have contributed to the expansion of the human cortex. The dataset contains raw sequences (FASTQ files) from the Illumina 2x150bp paired-end RNA sequencing profiles of 11 fetal human brain samples at 7, 9, 12, 15 and 21 gestational weeks.

  Study EGAS00001002798

• Hyperdiploidy impairs fetal hematopoietic progenitor cell fitness and differentiation enabling persistence of rare preleukemic aneuploid clones

  Cells previously cryopreserved in FBS-10%DMSO were thawed and resuspended in 1mL of cold lysis buffer (10 mM Tris-HCl pH 7.4, 154 mM NaCl, 0.2% BSA, 0.1% NP-40, 1 mM CaCl₂, 0.5 mM MgCl₂ in ultra-pure water) to lyse the cell membrane and release intact nuclei. The nuclei were stained with propidium iodide (10 µg/mL) and Hoechst 33258 (10µg/mL) to facilitate sorting based on cell cycle state and viability. Single nuclei from 48 cells per sample were isolated into 96-well plates containing 5µL of freeze buffer (1X PBS, 7.5% DMSO, and 40% ProFreeze freezing medium (Lonza)) using a MoFlo Astrios cell sorter (Beckman Coulter) at the Flow Cytometry Unit of the University Medical Center Groningen (UMCG), Netherlands. The plates were centrifuged at 500 g and stored at -80°C until library preparation. Single-nuclei libraries were prepared using a Bravo Automated Liquid Handling Platform (Agilent Technologies). Nuclei were lysed, and DNA was labelled with unique 10 bp dual barcodes and amplified as previously described. Sequencing was performed on an Illumina NextSeq 2000 platform with 77bp single end reads. The generated data were subsequently demultiplexed using sample-specific barcodes and converted to FASTQ files with bcl2fastq. Sequencing reads were aligned to the GRCh38/hg38 human reference genome using Bowtie2 (v2.2.4), and duplicate reads were marked with BamUtil (v1.0.3). Single-cell karyotypes were determined by performing copy number analysis using AneuFinder (v4.3.3) (https://github.com/ataudt/aneufinder). The analysis included GC-content correction and blacklisting of artifact regions identified from euploid controls. Copy number calling was conducted with the dnacopy and edivisive algorithms, employing a bin size of 1 Mb and a step size of 500 Kb. Libraries with an average of fewer than 10 reads per chromosome copy per bin or less than 95% concordance between the two algorithms were excluded from analysis. Whole-chromosome aneuploidies were identified when over 95% of bins exhibited deviation from the disomic state. Aneuploidy scores were calculated as weighted averages of absolute copy number deviations from the euploid state. 

  Dataset EGAD50000002314

• Genetics causes of male infertility in 185 patient-parent trios from Netherlands and UK

  In this, whole exome sequencing was performed on 185 patients suffering from Azoospermia or severe oligozoospermia and on their respective fertile parents in order to investigate de novo and inherited genetic variants likely to be the cause of infertility in these men. After bioinformatic analysis and comprehensive variant interpretation several de novo point mutations and copy number variations were identified as well as multiple homozygous and compound heterozygous mutations in recessive genes that are likely influencing the infertility phenotypes observed in the patients.

  Study EGAS00001005417

• Walter and Eliza Hall Institute - University of Melbourne

  Data Access Committee for Gocuk, Lancaster et al. 2024: nanopore sequencing data of patients with choroideremia and X-linked retinitis pigmentosa, to determine X inactivation skew.

  Dac EGAC50000000301

• HIV exome pilot, exome data hs37d5

  exome sequence data for 57 HIV elite long term non-progressors and rapid progressors. Complete dataset of improved BAMs mapped to hs37d5 and including phenotype information.

  Dataset EGAD00001003345

• Illumina HiSeq X Ten

  Three files of patients 10, 11 and 13 with WGS done on Illumina HiSeq X Ten. For research purpose and authorised user only.

  Dataset EGAD00001003439

• ATAC-Seq of human stimulated and cultured CD4+ Treg cells

  This dataset includes whole genome sequence data for ATAC-seq (42 samples) of human stimulated and cultured CD4+ Treg cells.

  Dataset EGAD00001004829

• The genomic landscape of germinal center derived B-cell lymphomas other than follicular, diffuse-large B-cell and Burkitt lymphom

  As part of the ICGC, the ICGC MMML-Seq project performed whole genome sequencing and RNA sequencing of germinal center derived B-cell lymphoma. Analyses were performed in concordance with the guidelines of the ICGC.

  Study EGAS00001002422

• Detection of maternal DNA contamination in the placenta

  We use whole-genome sequencing of monozygotic (and dizygotic) twins to detect somatic mutations to infer the cellular history of the twinning event. We recruited monozygotic twins with varying degrees of fetal membranes to compare the twinning events between theses subsets. We used blood, buccal epithelial cell, placenta, and umbilical cord to trace the embryonic somatic mutations. Using the somatic mutations from various tissues we infer the approximate timing of twinning in each monozygotic twin subtypes.

  Study EGAS00001006155

• Human Epilepsy Genetics: Mosaic Mutations in Focal Epilepsy

  This study investigates the role of somatic mosaic mutations in human focal epilepsies, including focal cortical dysplasia (FCD) and mesial temporal lobe epilepsy (mTLE). It leverages genomic and single-cell transcriptomic data from surgically resected brain tissue to identify pathogenic variants and characterize their effects on specific cell types and molecular pathways. The study employs methods such as deep whole-exome and targeted sequencing, single-nucleus RNA sequencing (snRNA-seq), and integrated genotype-transcriptome profiling (e.g., GO-TEN) to define the cellular architecture and functional consequences of mosaic mutations. Data generated under this project aim to elucidate mechanisms of epileptogenesis and support discovery of potential therapeutic targets.

  Study phs004124

• Papuan Genomes: whole genome sequencing

  The genomes of 25 individuals from Papua New Guinea was sequenced to high depth (30x) to address population genetic questions relating to the spread of humans outside of Africa and the peopling of Sahul (the continent of Greater Australia). The study design of this project was to sequence small numbers of genomes from several geographically distinct Papuan groups, focusing on the highland regions that are thought to have been more isolated, to enable comparisons between populations within Papua New Guinea and with Australian Aboriginal populations. Data from this project feed directly into on-going projects on the genetic history of Australia and also serve as a first look at the population genomics of the Papuan highlands.

  Study EGAS00001001247

• Dynamics of Genomic and Immune Responses During Primary Immunotherapy Resistance in Mismatch Repair Deficient Tumors

  We study a patient with dMMR lung cancer refractory to immunotherapy. Post-treatment tumor demonstrated compound heterozygous frameshift deletions located upstream of the kinase domain in the gene encoding JAK1 protein, downregulation of JAK1 and mediators of its signal transduction, and total loss of JAK1 phosphorylation. Importantly, one of the JAK1 mutations, despite not being detected in the pre-treatment tumor, was found at low variant allele frequency in the pre-treatment circulating tumor DNA, suggesting clonal selection of the mutation. This report provides the most detailed look yet of defective JAK1 signaling in the context of dMMR and immunotherapy-resistance. Together with observations of JAK1 frameshift indels being enriched in dMMR compared with MMR-proficient tumors, our findings demonstrate the critical function of JAK1 in immunological surveillance of dMMR cancer.

  Study phs002089

• Immunophenotype data for a subset of NSCLC cases in OAK

  The investigators would like to correlate NGS data from OAK to immunophenotype designation performed manually based on a panCK/CD8 immunohistochemistry stain for a subset of squamous cell carcinomas.

  Dataset EGAD50000001253

• RNA-sequencing

  RNA-sequencing for a cohort of B-ALL samples : 5 Down Syndrome (DS), 16 Hyperdiploid (HeH), 6 iAMP21, 9 other. RNA-sequencing for B-cell progenitors from 3 healthy. It also contains RNA-sequencing datasets of Patient-Derived Xenografts (X) developed from the B-ALL samples : 4 Down Syndrome (DS), 4 Hyperdiploid (HeH), 1 iAMP21, 3 other.

  Dataset EGAD00001005426

• Genomic and epigenomic insights into the origin, pathogenesis and clinical behavior of mantle cell lymphoma subtypes

  Mantle Cell Lymphoma can be subdivided into conventional (cMCL) and leukemic non-nodal MCL (nnMCL), which differ in the cell of origin, gene expression, biological characteristics and clinical evolution. Using genomic, epigenomic and transcriptomic data we identified common and particular alterations in the two subtypes, either point mutations, copy number alterations or structural variants some of them with prognostic impact.

  Study EGAS00001004165

• Granzyme B-expressing regulatory B cells share the same origin as conventional blood B cells

  This study investigates the origin and characteristics of granzyme B-expressing regulatory B cells (GZMB⁺ Bregs), a subset implicated in immune regulation and graft tolerance following kidney transplantation. We analyzed the B cell receptor (BCR) repertoire of sorted GZMB⁺ and GZMB⁻ B cells from two healthy donors (Healthy Volunteers, HVs) and two drug-free tolerant kidney transplant recipients (TOLs).

  Study EGAS50000001707

• Department of Internal Medicine and Radboud Center for Infectious Diseases, Radboud university medical center

  Dac EGAC00001003193

• Cyr61-MAC DAC

  DAC for access to dataset on Cyr61-MAC and HUVEC

  Dac EGAC50000000355

• Genetic control of the transcriptomic response of monocytes to bacterial and viral stimuli assessed by RNA-seq in Africans and Europeans

  Humans differ in the outcome that follows exposure to life-threatening pathogens, yet the extent of population differences in immune responses, and their genetic and evolutionary determinants, remain undefined. Here, we characterized, using RNA-sequencing, the transcriptional response of primary monocytes from Africans and Europeans to bacterial and viral stimuli - ligands activating Toll-like receptors pathways (TLR1/2, TLR4 and TLR7/8) and influenza virus - and mapped expression quantitative trait loci (eQTL). We identify multiple cis- and trans-eQTL that contribute to the marked differences in immune responses detected within and between populations, including a TLR1 master regulator that decreases expression of pro-inflammatory genes in Europeans only. We show that regulatory variants have been privileged targets of natural selection, uncovering evolutionarily advantageous mechanisms, such as attenuated inflammation. Finally, we demonstrate that admixture with Neandertals introduced regulatory variants into European genomes, affecting preferentially responses to viral challenges, and identify archaic haplotypes that contributed to population genetic adaptation.

  Study EGAS00001001895

• Single cell RNA seq of the developing human embryo brain

  The study aims at identifying the cell types and lineages of the developing human brain.

  Study EGAS00001004107

• Dataset of 5 RNAseq from 3 non-muscle-invasive bladder cancer patients

  RNAseq (FASTQ files) of 5 tumor from 3 non-muscle-invasive bladder cancer patients. For patient UC2, RNA from 3 different synchronous tumors was extracted. Relating to the other datasets from the project : no RNA was available from patient UC4. NB : patients aliases are the following : ROXY : UC1, OMAD : UC2, MAKI : UC3, HAPE : UC4

  Dataset EGAD50000002009

• Transcriptome sequencing of cancer cell lines

  This dataset contains RNA sequencing data for 675 cancer cell lines. RNA libraries were made with the TruSeq RNA Sample Preparation kit (Illumina) according to the manufacturer protocol. The libraries were sequenced on an Illumnia HiSeq 2000

  Dataset EGAD00001000725

• cfMeDIP data for 14 Barrier samples

  We analyzed the cell free DNA methylomes using 14 plasma samples from patients with mCRPC in the Barrier cohort. Methylation was profiled using the methylated DNA immunoprecipitation coupled to next generation sequencing (MeDIP) technology.

  Dataset EGAD00001008712

• cfMeDIP data for 30 CPC-GENE samples

  We analyzed the cell free DNA methylomes using 30 plasma samples from patients with localized prostate cancer in the CPC-GENE project. Methylation was profiled using the methylated DNA immunoprecipitation coupled to next generation sequencing (MeDIP) technology.

  Dataset EGAD00001007972

• Fecal microbiome predicts treatment response after the initiation of semaglutide or empagliflozin uptake

  To investigate the effect of semaglutide and empagliflozin initiation on the gut microbiome of type 2 diabetes patients. In addition, to analyze whether the pre-treatment gut microbiome can predict the treatment efficacy. Gut microbiome fecal samples donated at four timepoints (Baseline, Month 1, Month 3; Month 12) were studied using 16S ribosomal RNA gene sequencing and analysis.

  Study EGAS50000000531

• Somatic_mutation_and_clonal_evolution_in_the_human_bladder_Novaseq

  In this study, we aim to characterise the landscape of mutation and clonal selection in the human bladder. The data in this study will be generated by whole-genome sequencing of laser-dissected microbiopsies from the bladder. The samples utilised in this study will include urothelium from transplant donors with no history of bladder cancer and cystectomy specimens from patients with bladder cancer.

  Study EGAS00001003433

• Somatic Mutational Analysis by Exome Sequencing Late-Stage Endometrioid Endometrial Carcinoma

  The purpose of this study was to identify somatic (tumor-specific) mutations in advanced stage endometrioid endometrial carcinoma tumor exomes. The dataset was generated at the NIH Intramural Sequencing Center (NISC) and NHGRI by next generation sequencing the exomes of 19 de-identified primary tumor DNAs, from advanced stage tumors, and matched non-tumor DNAs.

  Study phs001153

• Renal_Cancer_Exome_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 25 renal cancers and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 50 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000006

• PV_Exome_Study

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Polycythemia Vera Myeloproliferative Disease samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000028

• Integrative_Oncogenomics_of_Multiple_Myeloma

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from Multiple Myeloma patient DNA and matched normal DNA from the same patients. Two lanes of Illumina GA sequencing will be performed on the resulting exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000036

• PMF_Exome_Study

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 Primary Myelofibrosis Myeloproliferative Disease samples and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000175

• ADCC_Exome_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from Adenoid cystic carcinomas and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000193

• Osteosarcoma_Exome_Sequencing

  Agilent whole exome hybridisation capture will be performed on genomic DNA derived from 50 osteosarcoma cancers and matched normal DNA from the same patients. Three lanes of Illumina GA sequencing will be performed on the resulting 100 exome libraries and mapped to build 37 of the human reference genome to facilitate the identification of novel cancer genes.

  Study EGAS00001000163

• RODAM

  The RODAM study assesses the health and wellbeing of Ghanaian residents in Ghana and Europe and follows them up over time. With this unique approach the RODAM study attempts to unravel the causes of cardiovascular disease and its risk factors among African migrants in Europe and non-migrants sub-Saharan Africa. Data are available upon reasonable request. These requests can be made to de RODAM-Pros cohort coordinator (rodamcoordinator@amsterdamumc.nl) or principal investigator, Professor Charles Agyemang (c.o.agyemang@amsterdamumc.nl).

  Dac EGAC50000000474

• Xenium analysis on Crohn's disease and control specimen

  Xenium analysis was performed on surgically resected Crohn's disease specimens and control specimens. The purpose of this study was to characterize the different features between intra-lymphatic antigen-presenting cells in Crohn's disease and those in controls.

  Study JGAS000697

• Clinical and neuroimaging study on preclinical Alzheimer's disease.

  This clinical study aims to discriminate MCI individuals at risk for development of Alzheimer dementia, as well as preclinical AD without clinical manifestations.

  Study JGAS000272

• RNAseq files for Mullighan_GL_reALL RNASEQ2

  RNAseq files for Mullighan_GL_reALL RNASEQ2 paper titled "Mutational landscape and patterns of clonal evolution in relapsed pediatric acute lymphoblastic leukemia"

  Dataset EGAD00001005510

• RNASeq files for Mullighan_GL_reALL RNASEQ1

  RNASeq files for Mullighan_GL_reALL RNASEQ1 paper titled "Mutational landscape and patterns of clonal evolution in relapsed pediatric acute lymphoblastic leukemia"

  Dataset EGAD00001005511

• CUTRUN files for Klco-NUP98 data

  CUTRUN files for paper titled "Fusion oncoproteins and cooperating mutations define disease phenotypes in NUP98-rearranged leukemia"

  Dataset EGAD00001015478

• Development of cell lines and mouse models of bone and soft tissue sarcoma to establish novel treatment

  Malignant giant-cell tumors are extremely rare bone sarcomas that transform from conventional giant-cell tumors during long periods of treatment. We have applied the culture methods and succeeded in establishing patient-derived organoids (PDO) of rare sarcomas. This study aimed to investigate the genomic characteristics of our established novel organoids from human malignant giant-cell tumors. The developed tumors with xenograft were genomically analyzed to compare their characteristics with those of the original tumors. Genetic changes over time throughout treatment were analyzed, and the genomic status of the established organoid was confirmed. Next generation sequencing revealed that the established organoids lacked the H3-3A G34W mutation. The xenografted organoids of the malignant giant-cell tumor had phenotypes genetically similar to those of the original tumor. The established organoids were confirmed to be derived from human malignant giant-cell tumors. In summary, the present study demonstrated a novel organoid model of a malignant giant-cell tumor that was genetically confirmed to be a malignant transformed tumor. Our organoid model could be used to elucidate the molecular pathogenesis of a malignant giant-cell tumor and develop novel treatment modalities.

  Study JGAS000618

• Neoantigen Landscape in a Hypermutated Glioblastoma Arising in a Patient with Germline POLE Deficiency Treated with Checkpoint Blockade Immunotherapy

  Whole genome and exome-based DNA sequencing of germline and tumor specimens from serial samples of patients with glioblastoma. The data set includes several metastases and recurrences from a patient with germline POLE-deficiency. The data reveal extensive tumor heterogeneity, clonal evolution, and genomic responses to immunotherapy.

  Study phs001663

• CHEK2 molecular manuscript

  This study investigated the molecular landscape of 17 tumors from 9 individuals with biallelic germline pathogenic variants in CHEK2. Tumors included breast and non-breast cancers, and WES and sWGS bam files from the tumors are included in this submission. WES data was aligned to GRCh37 and sWGS data to GRCh38.

  Study EGAS50000000080

• ScDNAseq in pediatric UBA1-mutated MDS

  This study investigates clonal architecture in the first pediatric MDS case with somatic UBA1 mutation, and tracks clonal dynamics during CPX-351 therapy. Single-cell DNA and Protein libraries from bone marrow mononuclear cells from Diagnosis and post-CPX-351 cycle #1 were sequenced on Illumina platforms and analyzed on the Tapestri pipeline.

  Study EGAS50000001651

• 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

• Single-cell RNA and DNA sequencing data obtained after genome-and-transcriptome separation.

  This dataset contains single-cell RNA and DNA sequencing data (fastq, n=928) obtained after genome-and-transcriptome separation. The RNA-seq data was obtained by Smart-seq2 amplification and Nextera XT library preparation. The DNA-seq data was obtained either by Gtag library preparation and amplification or by PicoPlex whole-genome amplification followed by Nextera XT library preparation. The single cells originate from a human PDX melanoma model and from HCC38 and HCC38 BL cell lines. The sequencing libraries were sequenced with Illumina instruments.

  Dataset EGAD00001010096