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• Analysis of somatic mutations in normal blood, AML and MDS samples

  Targeted pulldown of genes known to be recurrently mutated in AML & MDS from patient and normal samples using Agilent Sureselect and for some cases also using Illumina Truseq technology.

  Dataset EGAD00001002180

• Infant Spindle Tumour Study (2019-04-11)

  We aim to describe the transcriptomic landscape of infant spindle cell tumours. . This dataset contains all the data available for this study on 2019-04-11.

  Dataset EGAD00001004954

• scRNA-seq using 10X Genomics platform

  Matrices of counts from single-cell RNA-seq data for 15 samples from patients with ovarian cancer, 5 samples for each of the 3 tumor immune phenotypes (Infiltrated, Excluded and Desert). Dissociated cells from each tumor sample have been sorted to isolate live cells from the 3 compartments: tumor, immune and stromal. Each of the compartments has been analyzed separately by scRNAseq, excluding some desert tumors for which cells from the stromal and immune compartments have been pooled. Sequencing was performed using 10X Genomics Chromium Single Cell platform (v2 Chemistry).

  Dataset EGAD00001006974

• cfMeDIP data for 72 VPC samples for validation

  We analyzed the cell free DNA methylomes using 72 plasma samples from patients with mCRPC prostate cancer in the VPC project for validation. Methylation was profiled using the methylated DNA immunoprecipitation coupled to next generation sequencing (MeDIP) technology. Files from multiple lanes exists per sample.

  Dataset EGAD00001008737

• Sequencing data for oesophageal and related samples - Ogden et al (WGS, RNA)

  Data supporting: "Widespread reorganisation of the regulatory chromatin landscape facilitates resistance to inhibition of oncogenic ERBB2 signalling" Ogden et al. WGS for tumour and normal samples. RNAseq for tumour samples.

  Dataset EGAD00001007496

• Transcriptome and Exome from longitudinal samples of human glioblastoma

  We obtained paired longitudinal specimens from a total of 38 glioblastoma (GBM) patients (34 primary and 4 secondary GBM patients). Treatment-naive initial tumors were available for 35 cases; for the other 3 cases, we used the first available recurrent tumors in lieu of initial tumors. Tumor specimens were subjected to whole-exome sequencing (27 of 38 cases, with the matched normal/blood for 22 of the 27 cases) and transcriptome sequencing (30 of 38 cases).

  Dataset EGAD00001001424

• PKD1 capture-by-hybridization resequencing for genetic diagnostics of polycystic kidney disease

  We established and validated a sequence capture based NGS testing approach for PKD1. The presence of six PKD1 pseudogenes and tremendous allelic heterogeneity make molecular genetic testing of PKD1 variants challenging. In the publication accompaying this dataset (An efficient and comprehensive strategy for genetic diagnostics of polycystic kidney disease, Eisenberger et.al., PLoS one), we demonstrate that the applied standard mapping algorithm specifically aligns reads to the PKD1 locus and overcomes the complication of unspecific capture of pseudogenes. This dataset contains the raw PKD1 reads of all patients from the publication.

  Dataset EGAD00001001091

• Genomic Characterization of Patient-Derived Xenograft Models to Improve Targeted Therapy for HER2+ Breast Cancer Brain Metastases Treatments

  We have developed orthotopic patient-derived xenograft models of HER2 positive breast cancer metastasized into the brain of patients to test novel therapeutic strategies. In this study, we identified a novel combinatorial therapeutic strategy that has resulted in a durable remission and markedly increased overall survival in majority of patient-derived xenograft (PDX) models tested. We performed whole exome sequencing analysis of these PDX tumors and their matched blood and patient samples to investigate drug sensitive and resistance mechanisms. Our sequencing data revealed an interesting association of genotyping and phenotyping with tumors responses to drug treatment.

  Study phs001063

• A whole-genome sequencing study for evolutionary history of Tibetans and their genetic adaptations to high altitude

  Due to a unique adaptation to high altitude, the Tibetan Plateau population has been the subject of much research interest. In this study, we conducted whole genome sequencing of 27 Tibetan individuals. Through our analysis, we inferred a detailed history of demography and revealed the natural selection of Tibetan population. We provided evidence of genetic separation between the two subpopulations of Han and Tibetans as early as 44 to 58 thousand years ago, replicated previously reported high altitude adaptation genes, including EPAS1 and EGLN1, and reported three new candidate genes, including PTGIS, VDR, and KCTD12.

  Study phs001338

• WES in HCCOs with varying Doxorubicin resistance

  We aimed to identify somatic mutations that could explain the resistance to Doxorubicin. Therefor, we purified Exomes from liver biopsies and HCC organoids using Agilent SureSelectXT (clinical research exome, HS2 V8, or Human all Exon V6 Cosmic) and performed WES. Matched non-tumoral liver biopsies served as the control for germline mutations. 12 of these samples were previously reported. Sequence reads were aligned to the reference human genome GRCh38 using Burrows-Wheeler Aligner (BWA, v0.7.17). Duplicate removal, base quality adjustment, mutation calling (Mutect2, intervals: SureSelectXT_HS_V8_S33266340, germline-recourse: gnomad.exomes.r2.1.1.sites.liftover_grch38, Panel-of-Normal: 1000g_pon.hg38), filtering of Mutect calls, and functional annotation (Funcotator, funcotator_dataSources.v1.7.20200521g) were performed using the Genome Analysis Toolkit (GATK, v4.4) according to the Broad Institute best practices in Somatic short variant discovery workflows. Mutations with a functional annotation of Deletion, Insertion, Non-stop, Splice-Site, Start-Codon and Missense mutations were kept. A list of 43 commonly mutated genes in HCC was analyzed in the HCC organoids [TCGA, Comprehensive and Integrative Genomic Characterization of Hepatocellular Carcinoma. Cell, 2017. 169(7): p. 1327-1341.e23].

  Study EGAS50000000043