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• IBD dataset

  We performed multi-omics profiling of 38 Crohn's disease and Ulcerative colitis patients across several stimulations (RPMI, LPS, Salmonella, in total 80 samples). Nuclei were profiled using the 10X Multiome protocol which offers paired RNA+ATAC from the same nucleus (e.g. shared barcodes). Per library, the ATAC (I1, R1, R2, R3 reads) and RNA (I1, I2, R1, R2 reads) are provided. Pools are genetically multiplexed across donors. Genotype files are provided to allow genetic demultiplexing.

  Dataset EGAD50000000198

• Multi-omics Profiling of Airway Neutrophils and Microbiome in Stable Bronchiectasis

  This dataset comprises raw sequencing data generated from a multi-omics study investigating airway neutrophils and the microbiome in patients with stable bronchiectasis. Samples consist of multiplexed pools derived from blood and sputum collected from multiple subjects. Each pool represents a combination of biological materials from different individuals, and therefore individual-level metadata such as sex and disease stage are not attributable at the sample level. The dataset aims to characterize immune and microbial profiles associated with chronic airway inflammation in bronchiectasis.

  Dataset EGAD50000002607

• Molecular profiling of acinar cell carcinoma of the salivary glands

  Samples of acinar cell carcinoma (AciCC) of the salivary glands and paired normal salivary gland tissue were analyzed by whole transcriptome RNA-seq (n=10), whole genome sequencing (n=6), whole genome bisulfite sequencing (n=3) and ChIP-seq (H3K27ac, H3K4me3, H3K27me3, NR4A3, CTCF).

  Study EGAS00001002795

• We performed whole exome sequencing (WES) using Hiseq on 22 paired CMLs. We also performed whole exome sequencing (WES) using CG on 88 paired CMLs. All the data belongs to CML in China - ICGC project.

  We performed whole exome sequencing (WES) using Hiseq on 22 paired CMLs. We also performed whole exome sequencing (WES) using CG on 88 paired CMLs.All the data belongs to CML in China - ICGC project.

  Study EGAS00001001742

• Amplicon sequencing libraries from the study "Histological Transformation and Progression in Follicular Lymphoma: a Clonal Evolution Study".

  Amplicon sequencing libraries from the study "Histological Transformation and Progression in Follicular Lymphoma: a Clonal Evolution Study". These are Illumina amplicon deep sequencing libraries (n = 118) to validate somatic predictions made in the whole genome sequencing libraries. Specifically, there are 72 tumor libraries and 46 normal libraries. Some patients may have multiple amplicon libraries sequenced.

  Dataset EGAD00001002896

• Gene expression in CSF and whole blood of adults with proven bacterial meningitis in Malawi

  Dataset of BAM files from patients with proven bacterial meningitis in Malawi. Samples consist of BAM files from PolyA RNA seq runs from patients classifed as admission whole blood or CSF on admission (pre-antibiotics) in the Emergency Department. Subsequent BAM files are identical runs from whole blood from the same patients, taken at either day 10 or day 40 post admission to hospital. All patients have disease, they are divided into survivors and non-survivors at the day 40 time point.

  Dataset EGAD00001004488

• USARC 10X Genomics Single Cell DNA Sequencing Data

  We investigated the impact of ploidy heterogeneity on copy number inference at a single cell level using fluorescence-activated cell sorted (FACS) nuclei from an undifferentiated soft tissue sarcoma. FACS revealed the presence of three aberrant subpopulations, including a haploid, a near diploid and a whole genome doubled population. Once sorted, single cell nuclei underwent whole genome sequencing using the chromium CNV single cell DNA library kit (10X Genomics). We sequenced single normal nuclei (2n) and single aberrant / tumour nuclei (1n, 2n and 2n+).

  Dataset EGAD00001008668

• RNA-seq dataset of A cycling, progenitor-like cell population at the root of atypical teratoid rhabdoid tumor subtype differentiation trajectories

  Study describing the differentiation trajectory of atypical teratoid rhabdoid tumors (ATRTs) at single-cell level. This study describes how the differentiation trajectory differs per subtype of ATRTs, and how those findings could contribute to develop so-called "maturation therapy" tailored towards ATRTs.

  Dataset EGAD00001015544

• HNPCC-Sys: Molecular Characterization of Lynch Syndromes

  Lynch Syndrome (LS) tumors are characterized by constitutional mutations in DNA mismatch-repair genes. Colorectal cancers (CRCs) are the predominant tumor type in patients with LS. Here, we have used whole-genome and transcriptome sequencing of LS- CRC to find similarities and differences of mutation and gene expression characteristics between LS-CRC and sporadic CRC (data provided by TCGA via dbGaP). Furthermore, we were interested in the molecular heterogeneity of LS-CRC. We have performed a molecular characterization of LS-tumors and of matched tumor-distant reference colonic mucosa based on whole-genome DNA- and RNA-sequencing analyses. Our data indicates the existence of two subgroups of LS-CRCs, G1 and G2, where G1 tumors show a higher number of somatic mutations, higher microsatellite slippage and a different mutation spectrum.

  Study phs001407

• Multi-omics analysis of serial samples from metastatic TNBC patients on PARP inhibitor monotherapy provide insight into rational PARP inhibitor therapy combinations

  In a pilot study, we evaluated the safety and efficacy of olaparib/durvalumab combination treatment in mTNBC patients and the feasibility of real-time deep analysis of serial tumor samples from triple negative breast cancer patients to identify mechanisms of resistance and treatment opportunities. This study used the SMMART analytic platform at OHSU KCI and incorporated comprehensive multi-omic analysis of serial liquid and tumor biopsies. Deep analysis of longitudinal biopsies combined with a robust computational biology pipeline identified multiple PARPi-induced changes in immune activation, DNA damage checkpoint activation, apoptosis and signaling pathways including RTK, PI3K-AKT and RAS-MAPK. These emergent tumor and immune state changes could act as biomarker targets to be used in selecting patient specific combination therapies.

  Study EGAS00001005479