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• DATA FILES FOR MULLIGHAN MEF2D RNASEQ STRANDED

  DATA FILES FOR MULLIGHAN MEF2D RNASEQ STRANDED

  Dataset EGAD00001002692

• DATA FILES FOR MULLIGHAN MEF2D RNASEQ UNSTRANDED

  DATA FILES FOR MULLIGHAN MEF2D RNASEQ UNSTRANDED

  Dataset EGAD00001002704

• Whole exome sequencing study for 8 pairs of primary NSCLCs and distant metastases

  Whole exome sequencing study for 8 pairs of primary NSCLCs and distant metastases. This dataset includes a total of 30 samples.

  Dataset EGAD00001005764

• RNASeq files for Mullighan Leventaki ALCL Project

  RNASeq files for Mullighan Leventaki ALCL Project paper titled "Integrative molecular analysis of pediatric Anaplastic large cell lymphoma reveals subtypes with distinct immune suppression signatures."

  Dataset EGAD00001005951

• MT sequencing reads from WGS of 10 Egyptian individuals

  This data set contains for 10 Egyptian individuals the WGS reads mapping to chrM. These were subsequently used for haplogroup assignment.

  Dataset EGAD00001006038

• Single-cell Full Transcriptome RNA sequencing

  Single cell full transcriptome sequencing of CD19 CAR T-cell infusion products used for standard of care treatment for relapsed/refractory large B-cell lymphoma.

  Dataset EGAD00001006325

• Single cell targeted RNA sequencing

  Single cell hybrid-capture targeted sequencing of CD19 CAR T-cell infusion products used for standard of care treatment for relapsed/refractory large B-cell lymphoma.

  Dataset EGAD00001006327

• HiC files for Zhang GenomePaint paper

  HiC files for GenomePaint paper titled "Exploration of coding and non-coding variants in cancer using GenomePaint."

  Dataset EGAD00001006678

• WES for Patient 1 to 8 of NIBIT-M4 clinical trial

  WES for Patient 1 to 8 of NIBIT-M4 clinical trial

  Dataset EGAD00001009701

• Additional RNASeq files for Roussel MBPRP

  Additional RNASeq files for Roussel paper titled "Combination of CDK4/6 with BET-bromodomain and PI3K/mTOR inhibitors in medulloblastoma in vitro and in vivo"

  Dataset EGAD00001009394

• WGS files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  WGS files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  Dataset EGAD00001015800

• WXS files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  WXS files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  Dataset EGAD00001015801

• RNASeq files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  RNASeq files for paper titled "Patient-derived pediatric brain tumor organoids faithfully recapitulate primary tumors"

  Dataset EGAD00001015802

• consHLA extra samples for comparison with clinical HLA types

  Samples not in other datasets for the paper titled; consHLA: a Next Generation Sequencing Consensus-based HLA Typing Workflow

  Dataset EGAD00001015625

• Novel Factors for Unexplained Phenotypes of Subclinical Carotid Atherosclerosis

  The overall goal for this study was to determine the genetic factors associated with extreme phenotypes of subclinical atherosclerosis (protective and deleterious). Study participants were selected from the Northern Manhattan Study (NOMAS), a population based cohort study investigating stroke and stroke risk factors in Northern Manhattan. Cases and controls were individuals at the extreme ends of the distribution for carotid intima-media thickness and carotid plaque, with cases defined as individuals with subclinical atherosclerosis that could not be explained by traditional vascular risk factors (USAth) and controls defined as individuals with unexplained protection against atherosclerosis (UPAth).

  Study phs001560

• Biesecker Lab (NHGRI) Whole Genome Medical Sequencing for Gene Discovery

  We aim to use whole-genome medical sequencing (WGMS) to discover causative molecular lesions for a set of rare, severe phenotypes hypothesized to be caused by either somatic mutations, germline de nova heterozygous mutations, germline inherited recessive, or germline inherited dominant mutations in currently unknown or uncharacterized genes. The goal of this research is threefold: to identify causative sequence variants for disorders whose molecular etiology was previously unknown, to apply this insight to both the rare disorders under study and more common phenotypes, and to enhance the study of mutation on a genome-wide level.

  Study phs001348

• Stanford Center for Urologic Genomics: Genomic Analysis of Benign Prostatic Hyperplasia

  Benign prostatic hyperplasia (BPH) entails growth in the central regions of the prostate gland and is common among older men. BPH obstructs urinary outflow, resulting in voiding symptoms for which current treatments that target prostate physiology are only partially effective. A better understanding of BPH may suggest new treatment strategies that target its pathophysiology. The overall goal of the study is to apply next-generation sequencing-based approaches to investigate BPH, to discover new insight into BPH disease processes and new targets for precision therapy, and to determine whether the hyperplasia reflects underlying clonal expansions of prostatic cells.

  Study phs001698

• Development of Novel Synovial Sarcoma Organoids Models for Drug Discovery

  Although synovial sarcoma has been studied using established cell lines and mouse models, effective treatments remain limited. We treated five patients with synovial sarcoma between 2022 and 2023 and established organoid cultures from resected tumor specimens using a modified air-liquid interface method. After serial passaging, organoids were successfully xenografted into NOD-scid IL2Rgnull (NSG) mice in three cases. The established organoids retained SS18-SSX fusion transcripts and demonstrated histological and genetic similarities to the original tumors. These organoid models provide a reliable platform for studying synovial sarcoma biology and hold promise for the development of novel therapeutic strategies.

  Study JGAS000806

• Whole-Genome Shotgun Metagenomic Analysis of Rectal Mucus for Colorectal Cancer Detection

  This study evaluates the use of rectal mucus as a minimally invasive biospecimen for colorectal cancer (CRC) detection through whole-genome shotgun metagenomic sequencing. 408 rectal mucus samples were collected from patients suspected to have colorectal cancer and sequenced. These samples were analyzed to characterize microbial community composition and its association with CRC stage and anatomical site. These data provide insights into tumor-proximal microbiome signatures and demonstrate the potential of rectal mucus sampling for early and accurate CRC diagnosis. This is 1 of 4 sequencing experiments on the same sample type.

  Study EGAS50000001310

• Gut 16S rRNA/FINRISK 2002

  Gut microbiome 16S rRNA raw data for N=7174 FINRISK 2002 participants. FINRISK fecal samples were mailed to the Knight laboratory at the University of California (San Diego, CA), for microbiota sequencing using the standard Earth Microbiome Project protocols (https://earthmicrobiome.org/protocols-and-standards/). DNA was extracted using a magnetic bead-based DNA extraction protocol. Amplicon sequence data for the V4 region of the 16S rRNA gene was generated using 515F (Parada) and 806R (Apprill) primers. For a total of 25μl reaction volume, 13 µl PCR-grade water was combined with 10 µl PCR master mix (Platinum Hot Start PCR Master Mix, 2x, ThermoFisher), 0.5 µl forward primer (10 µM), 0.5 µl reverse primer (10 µM), and 1 µl template DNA. Amplification was performed in triplicate reactions, and triplicate PCR reactions were pooled afterwards. Expected products were visualized on agarose gels (300–350 bp) and quantified with Quant-iT PicoGreen dsDNA kit (Invitrogen). Equal amounts (240 ng) of amplicon were combined for each sample and cleaned (MoBio UltraClean PCR Clean-Up Kit). Cleaned amplicon pools were sequenced with 515F and 806R primers.

  Dataset EGAD50000000287

• Multiomic analysis of CD4+ T cells from blood, lymph node and tumor of NSCLC patients

  This dataset contains data derived from FACS-sorted CD4+ T cells. This dataset contains FASTQ files for: - paired blood, lymph node, and tumor single-cell RNA-seq (scRNA-seq) samples from 5 patients with NSCLC (including scRNA-seq coupled to scTCR-seq for 3 patients), - paired blood, lymph node, and tumor single-cell ATAC-seq (scATAC-seq) samples from 2 patients with NSCLC, - lymph node and tumor bulk RNA-seq and TCR-seq data from CD4+ T cell subsets (Treg-Tfr, Treg-Trm, Treg-Naive, Tconv-Tfh, Tconv-CXCL13, and Tconv-Naive) from 5 patients (one patient has lymph node samples only). In addition, this dataset includes processed analysis files: - Seurat object for scRNA-seq data, - fragment files generated by Cell Ranger for scATAC-seq samples, - contig annotations generated by Cell Ranger for scTCR-seq samples. Sequencing was performed using Illumina NovaSeq, MiSeq, or HiSeq Rapid Run platforms.

  Dataset EGAD50000000424

• Whole-genome sequence data for The interface of malignant and immunologic clonal dynamics in high-grade serous ovarian cancer

  Each tumor sample was cut into three pieces, yielding two end-pieces for cryovials and a middle portion placed in 10% buffered formalin. End pieces were homogenized manually and with a paddle blender (Stomacher). All paraffin-embedded blocks, including formalin-fixed tumor samples and molecular-fixed fallopian tubes, were sectioned and stained with hematoxylin and eosin prior to expert histopathological review to confirm the presence of high grade serous carcinoma. Homogenized end pieces were then flash frozen and later used for WGS. For all tumor and matched normal (peripheral blood) samples, DNA was extracted with the Qiagen AllPrep DNA/RNA kit (tumor samples from patients 25,26,28-32) or the Qiagen Blood and Tissue Extraction Kit (tumor samples from patients 1-4,7,9-17, and all blood samples). For all tumor and normal samples, DNA extraction was followed by library construction and sequencing using Illumina HiSeq2500 whole genome shotgun v4 chemistry with paired-end 125bp reads.

  Dataset EGAD00001003984

• Chromatin accessibility maps of chronic lymphocytic leukemia identify subtype-specific epigenome signatures and transcription regulatory networks

  Chronic lymphocytic leukemia (CLL) is characterized by substantial clinical heterogeneity, despite relatively few genetic alterations. To provide a basis for studying epigenome deregulation in CLL, we established genome-wide chromatin accessibility maps for 88 CLL samples from 55 patients using the ATAC-seq assay, and we also performed ChIPmentation and RNA-seq profiling for ten representative samples. Based on the resulting dataset, we devised and applied a bioinformatic method that links chromatin profiles to clinical annotations. Our analysis identified sample-specific variation on top of a shared core of CLL regulatory regions. IGHV mutation status – which distinguishes the two major subtypes of CLL – was accurately predicted by the chromatin profiles, and gene regulatory networks inferred for IGHV-mutated vs. IGHV-unmutated samples identified characteristic differences between these two disease subtypes. In summary, we discovered widespread heterogeneity in the chromatin landscape of CLL, established a community resource for studying epigenome deregulation in leukemia, and demonstrated the feasibility of chromatin accessibility mapping in cancer cohorts and clinical research.

  Dataset EGAD00001002110

• Single-cell gene expression data from CD8+ T cells from two Austrian COVID19 patients stimulated with wildtype and mutant SARS-Cov-2 peptides

  The data contains single-cell gene sequencing data (10x Genomics) from FACS-purified CD8 T lymphocytes from two Austrian patients. The cells were stimulated with one MHC class I peptides obtained from a common (wild type) variant and an emerging mutant variant of the SARS-Cov-2 virus. Then the samples were multiplexed using hashtag oligos. We provide the raw and aligned sequence data for: i. The single-cell experiments ii. The PCR-amplified samples for enrichment of the hashtag oligo multiplexing barcodes iii. The PCR-amplified samples for enrichment of the T Cell Receptor (TCR) VDJ region for immuno-profiling. The samples and libraries were processed and obtained in collaboration between St. Anna Children's Cancer Research Institute (CCRI), CeMM Research Center for Molecular Medicine of the Austrian Academy of Sciences, and the Medical University of Vienna. The cell barcodes and processed data has been submitted to the GEO database with GEO accession GSE166651.

  Dataset EGAD00001006995

• Adult-type Granulosa Cell Tumour of the Ovary RNA Sequencing

  We analyzed 34 AGCTs (19 primary and 15 recurrent) and the KGN cell line by RNA-Seq. Our cohort comprised of 3 AGCTs WT for FOXL2, 28 heterozygous and 3 homo/hemizygous for the pathogenic variant. Fresh-frozen AGCTs were selected from OVCARE’s Gynecological Tissue Bank in Vancouver, Canada for bulk RNA-seq. RNA was extracted from frozen tissue and sections adjacent to the scrolls submitted for RNA-seq were stained with hematoxylin and eosin (H&E) to evaluate tumour cell purity. Cases with >80% tumour cell purity were selected for sequencing with the majority of cases (29 of 34 patients) containing >90% tumour cells. Ribodepleted RNA libraries were constructed and paired-end sequencing (125 base pair reads) was performed.

  Dataset EGAD00001007812