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• IMPRESS_all

  Dataset containing tumor, normal and blood sample data, for various tissue and tumor types. Data is targeted methylation data, using smMIP probes to target informative CpG sites in the genome. Sample type can be inferred from the name, with 'W' being normal samples and 'TC' tumor samples. Dataset contains 259 samples in duplicate, with one half of the runs being cut by MSRE's, and the other not. For every sample paired fastq files are present.

  Dataset EGAD50000000882

• CXCL8 secreted by immature granulocytes inhibits wildtype hematopoiesis in chronic myelomonocytic leukemia

  CXCL8 secreted by immature granulocytes inhibits wildtype hematopoiesis in chronic myelomonocytic leukemia [Abstract] In chronic myelomonocytic leukemia, blocking CXCL8 produced by clonal dysplastic granulocytes is a potential therapeutic strategy to slow disease progression. [Data provided] Exome-sequencing, bulk mRNA-seq and single-cell RNA-seq of iGRAN, monocytes and PBMC of CMML patients and controls.

  Dataset EGAD50000000789

• Bulk RNAseq analysis of antigen-stimulated human CD8 T cells in the presence or absence of IL-27

  This is an RNAseq experiment from healthy donor CD8 T cells isolated from human PBMCs. T cells were engineered to express a CMV-specific TCR and were stimulated with CMV-peptide-loaded antigen presenting cells in the presence or absence of recombinant IL-27. Dataset consists of 6 fastqs.

  Dataset EGAD50000000973

• TIRE-seq_PDN

  TIRE-seq is a novel RNA sequencing method that integrates mRNA purification directly into library preparation, eliminating separate RNA extraction. The technique demonstrated utility across three biological applications, including capturing transcriptional changes in human T cells, identifying genes driving murine dendritic cell differentiation, and analyzing the dose-response effects of temozolomide on patient-derived neurospheres. With its simplified approach and high sequencing efficiency, TIRE-seq offers a cost-effective solution for large-scale gene expression studies.

  Dataset EGAD50000001261

• SAPCS 20 Blood RNA-seq from Prostate cancer patients.

  Raw RNA-seq reads (FASTQ format) and Mapped sequencing reads (BAM format) of 20 Prostate cancer patients in Southern African Prostate Cancer Study (SAPCS). Each patient exhibit different pathogenic variations. The Illumina RNA-sequencing is performed from Blood extraction (from QIAamp RNA Blood Mini Kit). rRNA was removed prior using SortMeRNA. STAR aligner program was used for mapping to human genome GRCh38.p14, resulting in an average genome coverage of 9x.

  Dataset EGAD50000000982

• Whole genome sequencing data from paired tumor and normal tissue in a cohort of NSCLC patients.

  WGS data for paired tumor and normal tissue from 260 patients in the TRACERx ctDNA study. The patient cohort is comprised of NSCLC patients undergoing surgical resection of their tumour. The patients were then followed up for a median of ~5 years after surgery, and serial blood samples were collected. The WGS data here was generated to inform the manufacture of custom ctDNA panels.

  Dataset EGAD50000001693

• TenK10K Phase 1: Whole Genome Sequencing tandem repeats multi-sample VCFs

  Tandem repeat variants were called for 1,925 samples from phase 1 of the TenK10K project. Variant calling from WGS alignments to the GRCh38 reference assembly was completed with ExpansionHunter v5. This dataset is comprised of autosomal tandem repeat variants provided as multisample compressed VCF format files. SNV-derived principal component scores used in the manuscript (Tanudisastro et al.) are also provided in this dataset.

  Dataset EGAD50000002378

• TenK10K Phase 1: Whole Genome Sequencing Alignments

  Whole genome sequencing was performed for 1,925 samples from phase 1 of the TenK10K project. Sequencing was done with Illumina 2 x 150bp chemistry on a NovaSeq 6000 instrument to achieve mean 30x coverage. Sequence reads were aligned to the GRCh38 reference assembly with a fork of DRAGMAP v1.3.1. This dataset is comprised of 1,925 alignment files in cram format, and their corresponding index files.

  Dataset EGAD50000002466

• Targeted sequencing of candidate genes in calcific aortic valve stenosis (2019-08-21)

  The objective is to identify new disease genes involved in calcific aortic valve stenosis (CAVS) by screening newly identified candidate genes. The recruitment of patients with CAVS has been achieved by l’institut du thorax (Nantes, France). DNA from the selected patients has been analysed by targeted capture (Agilent SureSelect) and massively parallel sequencing (Illumina). . This dataset contains all the data available for this study on 2019-08-21.

  Dataset EGAD00001005275

• Phenotype data for clinical efficacy and biomarker analysis of neoadjuvant atezolizumab in operable urothelial carcinoma in the ABACUS trial

  ABACUS is a single arm phase 2 study that investigated 2 cycles of atezolizumab (1200mg Q3) prior to cystectomy in 95 patients with muscle invasive transitional cell cancer (T2-4N0M0). Pathological complete response (pCR) occurring in ≥20% of patients was the primary endpoint. Biomarker analysis on sequential tissue was a co-primary endpoint. This dataset includes clinical phenotype data.

  Dataset EGAD00001006200