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• 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

• (sn)RNA-seq dataset of Multi-modal analysis of pediatric pilocytic astrocytomas reveals tumor location-associated cellular and transcriptional heterogeneity

  Aim: to comprehensively characterize the cellular and transcriptional landscape of pediatric pilocytic astrocytomas across anatomical tumor locations

  Dataset EGAD00001015705

• scRNA-seq dataset to study interactions between HSPCs, BMSCs and immune microenvironment

  Mechanisms of clonal evolution in myeloid neoplasms remain incompletely understood. Darwinian theory predicts that the (micro)environment of clone-propagating stem cells may contribute to clonal selection. Here, we provide data fitting this model, establishing a relationship between stromal niche inflammation, inflammatory stress in HSPCs, clonal resistance and leukemic evolution in human MDS.

  Dataset EGAD00001015770

• Hypothesis Testing for Predictive Variables

  Hypothesis Testing for Predictive Variables

  Study EGAS00001007763

• Single cell genomic variation induced by mutational processes in cancer

  How cell-to-cell copy number alterations that underpin genomic instability in human cancers drive genomic and phenotypic variation, and consequently cancer evolution, remains understudied. Here, applying scaled single cell whole genome sequencing to wildtype, TP53-deficient and TP53/BRCA1/2-deficient mammary epithelial cells (n=13,818 genomes) and primary triple negative breast (TNBC) and high grade serous ovarian cancers (HGSC) (n=22,057 genomes), we identified three distinct ‘foreground’ mutational patterns defined by cell-to-cell copy number and structural variation properties occurring in the ‘background’ of cancer-associated genomic instability. Cell and clone-specific high level amplifications (HLAMPs), parallel allele-specific copy number alterations and copy number segment length variation (serrate structural variations) exhibited measurable phenotypic and evolutionary consequences. Clone-specific HLAMPs in known oncogenes were highly prevalent in fold back inversion (FBI)-bearing tumors and associated with increased clone-to-clone phenotypic variation in gene expression inferred from matched single cell RNASeq. Parallel allele-specific alterations were linked with phylogenetically determined evolutionary diversity and clone-specific mono-allelic expression. Serrate patterns present across all clones were increased in FBI tumors, most prominently on a tetraploid background and were highly correlated with increased genomic diversity of cellular populations. Taken together, we show that cell-to-cell structural-copy number variation significantly impacts the phenotypes and evolutionary diversity of TNBC and HGSC, revealing previously hidden genomic states of cancer cells.

  Study EGAS00001006343

• Multi-omic dataset utilized in the analysis of a phase II study of epigenetic priming followed by nivolumab in lung cancer

  This dataset includes sequence files from whole exome sequencing and bulk RNA sequencing of tissue and blood biospecimens from a phase II clinical trial investigating epigenetic priming followed by immune checkpoint blockade in non-small cell lung cancer (NSCLC; NCT01928576). There are 78 whole exome sequencing files and 36 bulk RNA sequencing files included in this dataset.

  Dataset EGAD50000001336

• Unravelling the contribution of HIF pathway and its therapeutic potential in human AML leukemia-initiating cells

  This study hypothesized that hypoxia contributes to AML-LSCs function and represents a potential therapeutic target to sensitize AML-LSCs to chemotherapy. We provide a comprehensive single-cell expression atlas of AML patient-matched diagnostic-relapsed samples from risk-stratified human AML patients.

  Study EGAS00001005980

• 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

• Patient-derived gene and protein expression signatures of NGLY1 deficiency

  Single-end bulk RNA sequencing results of cell lines derived from patients described with NGLY1 deficiency as well as parent and CRISPR edited controls. The cell lines represent 4 different cell types: fibroblasts, lymphoblastoid cells, induced pluripotent stem cells (iPSCs) and neural progenitor cells (NPCs.).

  Dataset EGAD00001008094

• scRNA-seq, scTCR-seq and scBCR-seq of 21 individuals post Covid'19 vaccination.

  This data includes scRNA-seq, scTCR-seq and scBCR-seq of 21 individuals post Covid'19 vaccination. Individuals range from the ages 52 to 75. Samples were genotype multiplexed in an overlapping mixture design, pooled, and sequenced on 16 lanes (10X, 5' GEM).

  Dataset EGAD00001011201

• Combined Telomerase Vaccination and Pembrolizumab in Advanced Melanoma: WES and RNA sequencing of biopsies from a Phase I Trial

  This dataset contains whole-exome and RNA sequencing of biopsies obtained from patients enrolled in a phase I clinical trial investigating the UV1 vaccine in combination with pembrolizumab in patients with advanced melanoma.

  Dataset EGAD00001011074

• Prediction of response to preoperative chemoradiotherapy in rectal cancer based on whole-exome sequencing and transcriptomic analysis

  Accumulating evidence suggests that radiotherapeutic success has an immune-associated component. We aimed to investigate the immunogenomic profiles associated with response to preoperative chemoradiotherapy (CRT) in patients with locally advanced rectal cancer.

  Study JGAS000158

• Smart-seq2 analysis of 11 ETMR patient samples (4,031 high-quality single cells/nuclei).

  We analyzed 11 ETMR patient samples using single-cell transcriptomics (6 from fresh and 5 from frozen material). Samples were profilied by paired-end scRNA-sequencing using the Smart-Seq2 protocol on a NextSeq 500 sequencer (Illumina). The dataset contains 8,062 fastq files of 4,031 high-quality single cells/nuclei. Raw fastq files of high-quality cells are shared.

  Dataset EGAD50000001379

• Single-cell RNA-seq data of bronchoalveolar lavage (BAL) fluid in late severe COVID-19

  We performed single-cell RNA-sequencing of cells in the bronchoalveolar lavage (BAL) fluid of late severe COVID-19. This study provides detailed insights into the alveolar macrophage response to SARS-CoV-2 infection and reveals a profibrotic macrophage response in severe COVID-19 patients.

  Dataset EGAD00001008161

• Whole genome bisulfite sequencing on 10 multiple myeloma cases

  Whole genome bisulfite sequencing on 10 multiple myeloma cases. Data quality control and adaptor-trimmed were performed with the Trimomatic tool. Paired-reads were mapped to the hg19 human reference with methylCtools aligner.

  Dataset EGAD00001007821

• Comprehensive investigation of genome architecture of gastric adenocarcinoma with whole-genome sequencing in the Chinese population.

  In this study, we performed whole-genome sequencing (WGS) of 214 paired GC tumors and adjacent normal tissues to identify novel potential biomarkers. We extracted mutational signatures which induce somatic mutations and classified GC tumors into four groups with significantly different prognosis. Moreover, we observed copy number changes and structural variations frequently occurring in some cancer related genes. Our study covers a comprehensive genetic framework that can be used in clinical trials and treatment modalities in GC.

  Study EGAS00001002404

• Cell targeted amplification sequencing (cta-seq) of scRNA-seq sample

  This data-set contains two sequencing runs of the same scRNA-seq library. Once with and once without cell targeted amplification of transcripts.

  Dataset EGAD50000001338

• HRR gene mutation analysis

  Mutation analysis of cfDNA from urine (stored at various storage conditions) and plasma using the QIAseq HRR panel

  Dataset EGAD50000001586

• Primary human hepatocyte ATAC-seq

  Profiling the chromatin accessibility landscape of cultured primary human hepatocytes (PHH) from three female and three male adult, non-diabetic donors.

  Dataset EGAD50000001751

• RODAM cohort: 16S gut microbiome data

  16S rRNA sequencing data of fecal samples of 1211 RODAM cohort participants in three research sites: rural Ghana, urban Ghana and Amsterdam, the Netherlands.

  Dataset EGAD50000001182

• Identifying the role of ID3 in DNA repair and maintenance of genome integrity (RNA-seq)

  Dataset EGAD00001008198

• Genetic factors underlying premature coronary heart disease in patients with normal coronary arteries

  The study will analyse by exome sequencing 42 Greek patients with premature MI and no vessel disease to identify genetic factors underlying this condition.

  Dataset EGAD00001000402

• The genetic evolution of precursor lesions in pancreatic cancer

  Mapping genetic evolution of pancreatic cancer precursor lesions such as IPMNs and PanINs.

  Dataset EGAD00001002232

• Somatic genetic basis of Wilms' tumour

  We investigated the somatic genetic basis of Wilms' tumour and found complex phylogenetic relations between tumours

  Dataset EGAD00001005136