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• WES data of central nervous system neoplasm patients

  Dataset containing 2068 WES tumor and control samples of central nervous system neoplasm patients. The data was sequenced on a Illumina NextSeq 500 using a NPHD2015A kit. The sequencing was always paired.

  Dataset EGAD00001009855

• Dataset for Manuscript: Cancer genome standards for long-read sequencing using cancer cell line mixtures

  Dataset for Manuscript: Cancer genome standards for long-read sequencing using cancer cell line mixtures

  Dataset EGAD00001015628

• Study of the role of aneuploidy in cB-ALL

  We modeled two proposed routes to hyperdiploidy, chromosome missegregation and cytokinesis failure, by transiently exposing human fetal liver–derived HSPCs to reversine or cytochalasin-D. Induced hyperdiploidy impaired fitness and delayed differentiation in vitro, causing hyperdiploid cells to be rapidly outcompeted by euploid counterparts. Nonetheless, hyperdiploid cells engrafted immunodeficient mice, where rare clones persisted long-term and acquired non-random chromosomal gains frequently observed in cB-ALL.

  Study EGAS50000001613

• Single-cell dissection of the immune response after a myocardial infarction

  38 STEMI patients at hospital admission, 24 hours (acute phase) and 6-8 weeks (chronic phase) after STEMI

  Dataset EGAD00001010064

• Chromatin accessibility profiles of bulk Acute Myeloid Leukemia (AML) samples

  Chromatin accessibility profiles of bulk Acute Myeloid Leukemia (AML) samples, 60 datasets. Part of the study EGAS00001004893 and EGAS00001004896.

  Dataset EGAD00001010299

• Precursor lesions, clonal architecture and relapse in Wilms nephroblastoma

  Targeted resequencing at high depth (21 genes, 9 chromosomal regions): at least 4 FFPE samples per case and matched germline DNA: * 100 cases with detailed outcome data, including 15 cases with tumour relapse (515 samples) * 40 cases with matched pre-chemotherapy biopsies (240 samples) * 50 nephrogenic rests matched to above cases (50 samples) We expect a proportion (possibly 10%) of cases to be mutationally silent on the above studies, and propose to subsequently carry out integrated whole-genome, methylome and transcriptome studies on matched frozen tissue from these cases

  Dataset EGAD00001003217

• Single-cell analysis of the multicellular ecosystem in viral carcinogenesis by HTLV-1

  Single-cell RNA sequencing (scRNA-seq), antibody-derived tag sequencing (scADT-seq) and T/B-cell receptor (TCR/BCR) sequencing (scTCR/BCR-seq) on peripheral blood mononuclear cells (PBMCs) obtained from 30 ATL patients (34 samples including 4 sequential ones), 11 HTLV-1-infected asymptomatic carriers, and 4 healthy donors.

  Study EGAS00001004936

• Genomic characterization of germ-cell tumors in childhood

  Germ cell tumors (GCTs) are rare neoplasms affecting approximately 3.5% of pediatric patients, with diverse histological subtypes. Despite their low mutational burden, prevalent alterations in KIT, KRAS, and NRAS genes are observed, but molecular understanding of pediatric GCTs lags behind adult counterparts. We aimed to elucidate the genomic landscape of 16 pediatric GCT patients via whole exome sequencing (WES), which revealed somatic alterations resembling those in adult GCTs.

  Study EGAS50000000619

• ProstOmics - DNA methylation v2

  Bulk methylation array data from 32 prostate tissue samples from 8 patients (3 with post-surgery relapse). Methylation data were acquired using the microarray assay Illumina Infinium MethylationEPIC v2.0 Kit. The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.

  Dataset EGAD50000000606

• ProstOmics - DNA methylation v1

  Bulk methylation array data from 64 prostate tissue samples from 16 patients (5 with post-surgery relapse). Methylation data were acquired using the microarray kit Illumina Infinium MethylationEPIC BeadChip (n=64 ). The individual samples have information on patient origin and sample type (cancer, cancer-adjacent field-effect normal or normal sample far from cancer). Patient metadata include information of age at surgery, time (months) until reported relapse, pre-surgery PSA and post-surgery T-stage.

  Dataset EGAD50000000605

• Molecular characterization of hepatocellular carcinoma in patients with non-alcoholic steatohepatitis

  Patients with hepatocellular carcinoma (HCC) associated to non-alcoholic steatohepatitis (NASH) are increasing globally, but their molecular traits are not well characterized. Our molecular characterization revealed higher rates of ACVR2A mutations (10%) – a potential tumour suppressor, presence of a novel mutational signature (MutSig-NASH-HCC), a more relevant role of Wnt/TGF-β proliferation subclass in tumours (42%) and immunosuppressive traits in the adjacent non-tumoral tissue.

  Study EGAS00001005222

• Variation and transmission of the human gut microbiota across generations - shotgun data

  Variation and transmission of the human gut microbiota across generations - shotgun sequencing data

  Dataset EGAD00001008207

• Pediatric Papillary Thyroid Carcinoma RNA-Seq

  38 PPTCs were sequenced using RNASeq to identify oncogenic variants in driver-unknown tumors and to explore gene expression patterns. RNA libraries were quantified by qPCR using the Kapa Library Quantification Illumina/ABI Prism Kit protocol (KAPA Biosystems). Libraries were pooled in equimolar quantities and paired-end sequenced on 2 lanes of a High Throughput Run Mode flowcell with the V4 sequencing chemistry on an Illumina HiSeq 2500 platform following Illumina’s recommended protocol to generate paired-end reads of 126-bases in length.

  Dataset EGAD00001007499

• RNA-seq dataset: Single-cell spatial analysis of pediatric high-grade glioma reveals a novel population of immunosuppressive and tumor-promoting SPP1+/GPNMB+ myeloid cells

  Our study utilizes two novel techniques, cyclical immunofluorescence imaging and single-cell spatial transcriptomics, to spatially map the tumor microenvironment of a large sample set of pediatric high-grade gliomas (pHGG). Using these methods, we have identified an abundant immunosuppressive myeloid cell population that has not been described in the context of pediatric high-grade gliomas. We validate our findings using an in vitro assay, spatial analysis on additional pHGG biopsies, independent spatial transcriptomic data, bulk RNA sequencing data of an expanded cohort of in-house patients, and publicly available bulk RNA sequencing data of an even larger cohort of pHGG patients.

  Dataset EGAD00001015450

• Hypothesis Testing for Predictive Variables

  Hypothesis Testing for Predictive Variables

  Study EGAS00001007763

• Whole-genome shotgun metagenomic sequencing of rectal mucus from patients suspected to have colorectal cancer

  This dataset contains whole-genome shotgun metagenomic sequencing data of 408 rectal mucus samples from patients suspected to have colorectal cancer and healthy controls. Sequencing was performed on the Illumina NovaSeq platform, producing paired-end FASTQ files. These data support microbial community profiling and biomarker discovery analyse

  Dataset EGAD50000001867

• Biomodal duet +modC sequencing of endometrial cancer plasma cfDNA samples

  This dataset contains biomodal sequencing data generated using the duet + modC assay from plasma-derived cell-free DNA of endometrial cancer patients and healthy donors. Sequencing was performed on an Illumina NovaSeq 6000. Dataset includes raw sequencing FASTQ files. Duet +modC output enables whole-genome profiling of both genetic variation and DNA methylation.

  Dataset EGAD50000002261

• A single-cell atlas of meningioma

  To explore meningioma intra-tumoral heterogeneity at scale, we generated the largest cohort profiled to date with single-nuclear RNA sequencing (snRNAseq, n = 102 samples and 580,185 high-quality nuclei) as well as high-resolution spatial transcriptomics (Visium HD, n = 43 samples and 7,146,538 115 segmented cells).

  Dataset EGAD50000002272

• M116 Whole Genome Bisulphite Sequencing

  DNA fragmentation from M116 blood sample (350 bp), library preparation, bisulfite conversion, and paired-end-150 whole genome bisulfite sequencing was conducted by Novogene®. Sequencing was carried out with a 10X coverage (approximately 60 Gb and 200 million reads per sample) using the NovaSeq X Plus platform (Illumina). Files types included in this dataset are raw Fastq files.

  Dataset EGAD50000001285

• Whole-genome sequencing of tumour, germline and plasma samples from a BRCA1-mutant breast cancer patient

  This data set contains the fastq files from whole-genome sequencing of temporally matched tumour (fresh frozen biopsies), blood germline and plasma samples collected from a BRCA1-mutant breast cancer patient to directly compare mutation signature analysis using gold-standard tumour-germline paired variant calling with a novel ctDNA-based method (MisMatchFinder).

  Dataset EGAD50000000811

• APS-1 Global Gene Expression

  Single cell sequencing of expanded regulatory T cells (Tregs) in 9 APS-1 patients and 9 age and gender matched controls. Gene expression (GEX) libraries were generated by using the Library Construction Kit from 10x genomics.

  Dataset EGAD50000000260

• Genome and transcriptome sequence data from a pleomorphic xanthoastrocytoma patient

  Genome and transcriptome sequence data from a pleomorphic xanthoastrocytoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001003744

• Genome and transcriptome sequence data from a leiomyosarcoma patient

  Genome and transcriptome sequence data from a leiomyosarcoma patient, generated as part of the BC Cancer Agency's Personalized OncoGenomics (POG) study

  Dataset EGAD00001002891

• PIK3R4 (VPS15)

  WES of human: A mutation in VPS15 (PIK3R4) causes a ciliopathy and affects IFT20 release from the cis-Golgi WES (Agilent SureSelect All Exon XT2 50 Mb kit) has been realized on three affected siblings (II.1, II.3, II.5) and one healthy sister (II.4). Raw data (BAM files) are provided: - II.1.aligned.sorted.dedup.realign.recal.bam - II.3.aligned.sorted.dedup.realign.recal.bam - II.5.aligned.sorted.dedup.realign.recal.bam - II.4.aligned.sorted.dedup.realign.recal.bam

  Dataset EGAD00001002736

• ECCO-GEN Valve Methylation Dataset (non-diseased)

  The valve methylation dataset consists of 12 bam files of human non-diseased valve tissue samples that are free from calcification (6 aortic and 6 mitral valves - matched; 10 males: 2 females; age range 42 – 64 years, mean age 52.2 years, SD 9.9682). Donor hearts are free from cardiovascular and valvular complications.

  Dataset EGAD00001006303