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• Deep Sequencing of 3 Cancer Cell Lines on 2 Sequencing Platforms (Illumina HiSeqX and NovaSeq)

  To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we performed whole-genome sequencing of 3 common cancer cell lines (COLO-829, HCC-1143 and HCC-1187) along with their matched normal cell lines to great sequencing depths (up to 278X coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. This dataset can be used for benchmarking purposes by the genomic community and as a reference call set for scientists using these 3 cell lines.

  Study phs001839

• Leukemia sequencing study

  A custom single-cell amplicon DNA sequencing panel was designed to cover relevant somatic mutations and common single nucleotide polymorphisms (panel CO303). Frozen bone marrow mononuclear cells were thawed, stained using the antibody-derived tags panel TotalSeq™-D Human Heme Oncology Cocktail, V1.0 (Biolegend) and loaded into Tapestri single-cell DNA genotyping platform (Mission Bio) to perform microfluidic encapsulation, lysis, and barcoding according to the manufacturer’s protocol (Chemistry V2, PN_3360A). DNA and ADT libraries were prepared and underwent 2x150bp paired-end sequencing on a NextSeq 500 platform (Illumina).

  Study EGAS00001006784

• To profile the landscape of sebaceous tumours_WES

  Sebaceous tumours are a rare cutaneous cancer with potential for aggressive behaviour. However, limited information is available on these cancers with few published cases. Here we wish to exome sequence these cancers to define the first genomic landscape for this malignancy. We will extract DNA from formalin-fixed, paraffin-embedded (FFPE) cores. Cores may be obtained from lesional and non-lesional tissues of primaries as well as matching metastases. The extracted DNA will be used for exome sequencing. Please note that the dataset was last revised on October 16, 2025.

  Dataset EGAD00001015367

• Hereditary Cancer Diagnostics with I2HCP gene panel

  This dataset contains targetted DNA sequencing data generated in the context of genetic diagnostics of hereditary cancer. Target enrichment was performed with the I2HCP, a custom hereditary cancer gene panel based in Agilent SureSelect and developed by the Germans Trias i Pujol Research Institute (IGTP, Badalona, Catalonia, Spain) and the Catalan Institute of Oncology (ICO, L'Hospitalet de Llobregat, Catalonia, Spain). After the enrichment, 108 samples were sequenced in Illumina HiSeq machines and 130 in MiSeq machines. Some of the samples were sequenced on both platforms. The dataset also includes MLPA validation data for all identified copy-number alterations, annotated with exon resolution and information about negative MLPA results. All this data was generated in the context of routine diagnostics and compiled together with MPLA validation data for a genetic diagnostics oriented benchmark of germline CNV calling tools.

  Study EGAS00001004316

• Family Genomics of Congenital Heart Defects

  The study identified the causal mutation in a five-generation pedigree harboring a cardiac septal defect. The inheritance pattern is consistent with an autosomal dominant mutation with high penetrance. We performed whole-genome sequencing (Complete Genomics) on 21 individuals in the pedigree, of which 11 individuals are affected. We identified a single gene, GATA4, as primarily responsible for this cardiac phenotype in this pedigree.

  Study phs000758

• Extracellular vesicles from TGF-β-activated cancer-associated fibroblasts remodel the tumor microenvironment through EV surface-associated proteins.

  In this study, we explored the function of extracellular vesicles (EVs) derived from non-activated cancer-associated fibroblasts (CAFs) and TGF-β-activated CAFs. We tested these two types of EVs on other cell types in the tumor environment, including cancer cells, CD8+ T cells, and CAFs. We further explored the protein cargo in EVs altered by TGF-β treatment using quantitative proteomics, and selected several highly upregulated proteins for further analysis. We found that the majority of these proteins were presented on the EV surface, and they regulated the target cells in an EV-cell contact dependent manner.

  Study EGAS50000000922

• A single cell view on host immune transcriptional response to in vivo BCG-induced trained immunity

  Study EGAS00001006990

• scRNA-seq of human follicular lymphoma and lymph node

  Cryopreserved cells from human nodal follicular lymphoma and lymph node samples were thawed and processed for scRNA-seq analysis. CD3+ CD19− 7-AAD− live T cells (six FL samples from the Original cohort) or 7-AAD− whole live hematopoietic cells (five lymph node and nine FL samples from Validation cohort 1) were sorted using a FACS Aria II or III instrument (BD Biosciences). To generate single-cell emulsions, 6,000–10,000 live cells were loaded into the 10X Genomics Chromium Controller for single-cell partitioning, along with the reverse transcriptase reagent mixture and 3' or 5' gel beads. Sorted T or whole hematopoietic cells were converted to barcoded scRNA-seq libraries using 10X Genomics Chromium single cell 3' reagent kits (v3) for the Validation cohort 1, 5' reagent kits (v1) for the Original cohort, according to the manufacturer’s instructions. The libraries were sequenced on an Illumina HiSeq X Ten or NovaSeq X Plus system, mapped to the human genome (build GRCh38), and demultiplexed using CellRanger pipelines (v3.1.0, 10x Genomics).

  Dataset EGAD50000001143

• Neuroblastoma and adrenal gland single-cell study

  Neuroblastoma is a pediatric tumor of the developing sympathetic nervous system. However, the cellular origin of neuroblastoma remains to be defined. Here, we study single-cell transcriptomes of neuroblastomas and normal human developing adrenal glands at various stages of embryonic and fetal development. We define normal differentiation trajectories during adrenal medullary development and identify the cellular origin of neuroblastoma. Importantly, adrenergic and mesenchymal neuroblastomas with varying clinical phenotypes match different temporal states along normal differentiation trajectories, with the degree of differentiation corresponding to clinical prognosis.

  Study EGAS00001004388

• Genetic analyses in patients with T or NK cells-associated disorders

  We conduct somatic gene mutation analysis in various diseases involving T cells or NK cells and clarify the gene mutation profile. By comparing clinical information and the results of mutation analysis, we will identify gene groups that influence the onset and refractoriness of the disease. As the analysis continues, the results of mutation analysis may become part of diagnostic criteria in the future, or provide basic data for the development of new therapeutic agents.

  Study JGAS000658