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• Single-cell Analysis of Neoplastic Plasma Cells Identifies Myeloma Pathobiology Mediators and Potential Targets

  Multiple myeloma is a clonal plasma cell (PC) dyscrasia that arises from precursors and has been studied utilizing approaches focused on CD138+ cells. By combining single-cell (sc)RNA- with scB-cell receptor (BCR)-sequencing, we differentiate monoclonal/neoplastic from polyclonal/normal PCs, and find more dysregulated genes, especially in precursor patients, than by analyzing bulk PCs. To determine if this approach can identify oncogenes that contribute to disease pathobiology, MAD2L1 and MAT2A are validated as targets with drug-like molecules that suppress myeloma growth in pre-clinical models. Moreover, functional studies show a role of LAMP5, which is uniquely expressed in neoplastic PCs, in tumor progression and aggressiveness via interactions with c-MYC. Finally, a monoclonal antibody recognizing cell-surface LAMP5 shows efficacy as an antibody-drug conjugate and in a chimeric antigen receptor-guided T-cell format. These studies provide additional insights into myeloma biology and identify potential targeted therapeutic approaches that can be applied to reverse myeloma progression.

  Study EGAS50000000802

• 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

• INCLUDE: Human Trisome Project

  The INCLUDE (INvestigation of Co-occurring conditions across the Lifespan to Understand Down syndromE) Project is an NIH-wide collaboration that seeks to improve health and quality-of-life for people with Down syndrome. The INCLUDE Project Data Coordinating Center and partners created the INCLUDE Data Hub, a centralized data resource that allows access to large-scale clinical and multi-omics datasets specific to Down syndrome and supports collaborative, cloud-based analysis to accelerate scientific discoveries related to Down syndrome and its co-occurring conditions.

  Study phs002981

• Expression quantitative trait loci influence DNA damage-induced apoptosis in cancer

  Dataset with eQTL and e2QTL metadata. The analyses were performed using CD8+ T cells from 461 healthy European participants stimulated with high doses of 5 different carcinogens to induce early apoptosis. These include Methyl-methanesulfonate (MMS), tert-butyl-hydroperoxide (TBOOH), benzo(a)pyrene-7,8-diol-9,10-epoxide (BPDE), 4-hydroxycyclophosphamide (HC) and UVC radiation.

  Dataset EGAD50000000941

• Single-cell RNA-sequencing on malignant and benign tissue samples

  Single-cell RNA-sequencing on malignant and benign tissue samples from untreated donors with colorectal adenocarcinoma and liver metastasis was performed in order to deduce tissue adaptive expression patterns of the disease. Matching tissue from five donors with untreated CRC and liver metastasis were sampled.

  Dataset EGAD50000001203

• Dataset for melanoma-WHOLE_GENOME

  Rare cancer sequencing data of 22 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008889

• Dataset for bone_cancer-WHOLE_GENOME

  Rare cancer sequencing data of 48 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008866

• 20190219_EGA_MelanomaOnTreatment

  Illumina platform sequencing data for matched tumour-normal DNA samples from 77 melanoma patients participating in a study investigating response to immunotherapy. Selected cases also have RNA sequencing of the tumour.

  Dataset EGAD00001004869

• Dataset for cancer_of_unknown_primary-EXON

  Rare cancer sequencing data of 62 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008870

• Dataset for GIST-WHOLE_GENOME

  Rare cancer sequencing data of 18 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008876

• Dataset for upper_gastrointestinal_tumor-WHOLE_GENOME

  Rare cancer sequencing data of 28 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008901

• Dataset for synovial_sarcoma-EXON

  Rare cancer sequencing data of 34 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008898

• Oropharyngeal Squamous Cell Carcinoma Mutanome

  This dataset comprises genetic variation data (as somatic indels and snvs VCFs) of 38 OPSCC tumors. WES was done using NextSeq 500 System running in 150 cycles (2x 75bp paired-end) mode. Sequence information was converted to FASTQ format using bcl2fastq v2.20.0.422. VCFs were generated using the Strelka package.

  Dataset EGAD00001009167

• RNA sequencing of tumor samples from patients with Waldenstrom macroglobulinemia

  RNA was extracted from flow-sorted CD19+. RNA-Seq was performed on 32 samples of 30 patients (2 replicates per samples). RNA-Seq libraries were subjected to non-stranded paired-end (2 x 75 bp) sequencing on HiSeq 2500 (Illumina). The files are in FASTQ format.

  Dataset EGAD00001005324

• LINE luminal breast cancer Neoadjuvant Chemotherapy Study (2019-08-28)

  A targeted gene screen of 365 known cancer genes in luminal breast cancer samples pre-chemotherapy and at resection post-chemotherapy to evalaute clonal expansion of chemotherapy cancer cells. . This dataset contains all the data available for this study on 2019-08-28.

  Dataset EGAD00001005297

• TF ChIP-seq of human acute leukemias

  CEBPA/PU.1/TCF7 ChIP-seq of 6 primary samples derived from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). Low-coverage whole genome sequencing (ChIP input) of the same samples is also included as a control to be used in peak calling.

  Dataset EGAD00001015358

• Cold Ischemia Study Dataset

  A total of 54 samples derived from 9 patients and frozem in 6 timepoints (T0 - immediately after resection, T1 - 10 minutes after resection, T2 - 20 minutes after resection, T3 - 30 minutes after resection, T4 - 45 minutes after resection, T5 - 60 minutes after resection) to assess the impact of ischemia on gene expression.

  Dataset EGAD00001015661

• Triple Negative BC WGS Dataset

  We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Dataset EGAD00001001335

• A study of the molecular pathogenesis of Splenic Marginal Zone and Diffuse Large B-Cell Lymphoma

  We will perform exome sequencing on selected cases of splenic marginal zone lymphoma (SMZL) and diffuse large B-cell lymphoma (DLBCL) in order to characterise their genetic makeup and identify biomarkers for prognosis and prediction of treatment response.

  Dataset EGAD00001000410

• 3D-GSC_expression_profiles

  In this study, we used RNA-sequencing gene expression profiling in order to characterize specific phenotypic traits in DIPG-derived glioma stem cell (GSC) models. Twenty-two primary GSC models derived from biopsies collected at diagnosis were cultured in an ECM-mimicking compound before for RNA extraction and subsequent rRNA-depletion and sequencing .

  Study EGAS00001007182

• Y_chromosome_mis_segregation_in_the_DLD_1_cell_line

  Study of the well-established DLD-1 colorectal cancer cell line, engineered with an inactivatable Y centromere that leads to mis-segregation. The goal is to gain insights into the mechanism of chromothripsis due to chromosome mis-segration.

  Study EGAS00001002551

• Advanced molecular neuropathology to increase diagnostic accuracy in pediatric neurooncology

  To assess their utility in routine neuropathology, we prospectively integrated DNA methylation-based CNS tumor classification and targeted gene panel sequencing of tumor and constitutional DNA with blinded neuropathological reference diagnostics for a population-based cohort of > 1,200 newly-diagnosed pediatric patients.

  Study EGAS00001006680

• RNA sequencing of BCP-LBL and EM B-ALL patients samples

  In order to perform comprehensive transcriptomics and gene fusion analyses of a cohort of BCP-LBL and extramedullary (EM) manifestations of B-ALL patients, we performed RNA sequencing of 16 tissue samples from BCP-LBL and EM B-ALL patients. Because the material was available as FFPE, and had a relative low quality, we used a capture-based approach, where NGS libraries obtained from total RNA were captured in 4-plex, using a whole exome capture panel.

  Dataset EGAD50000002047

• Whole genome sequencing of HSPC clones, bulk MSC cultures, and bulk sorted tumor samples

  Whole genome sequencing data (Illumina NovaSeq 6000) of clonal cultures derived from pediatric human bone marrow-derived hematopoietic stem and progenitor cells (in total 35 samples from 7 donors), bulk pediatric acute myeloid/lymphoid leukemia blasts (in total 2 samples from 1 patient) and bulk control mesenchymal stem cell cultures (4 samples from 4 patients) to study the mutation accumulation.

  Dataset EGAD00001006824

• Long read sequencing to detect structural variants in Indian patient with non-syndromic autism spectrum disorders

  This study involved performing long read whole genome sequencing using Oxford Nanopore Technology platform on to detect causative structural variants in patients with non-syndromic autism spectrum disorder. This study was performed on 23 such children in whom prior karyotyping, Fragile-X analysis (in males), chromosomal microarray and whole exome sequencing did not identify a causative variant.

  Dataset EGAD50000001231