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• RNAseq and T cell receptor (TCR) profiling of PBMC cells 3 months post Omicron exposure

  This dataset contains RNA-seq and T cell receptor (TCR) sequencing files from a cohort (n=20) 3 months post positive PCR for SARS-CoV-2. A total of 10 hospitalised (samples H1-10) and 10 non-hospitalised (samples NH1-10) are contained within this dataset. RNA sequencing was performed using the Illumina Stranded mRNA Prep Ligation kit to investigate the protein coding transcriptome of PBMC cells. T cell receptor (TCR) repertoire profiling was performed with the TakaraBio SMART-Seq Human TCR (with UMIs) on PBMC cells to investigate the depth and persistence of SARS-CoV-2 targeting TCRs.

  Dataset EGAD50000001356

• Single cell RNAseq and TCRseq data from tumor and blood samples from 4 patients with muscle invasive bladder cancer

  For this dataset we performed single cell RNAseq paired with single cell TCR-seq on tumor and blood samples from 4 patients. This dataset contains 4 tumor samples as well as 4 blood samples. Each sample is made up of 2 sets of paired fastq files. The first pair contains reads corresponding to RNA transcripts (_Transcripts in file name), while the second pair contain reads corresponding to TCRs (_VDJ in file name). Sequenced on the Illumina NovaSeq6000 platform in a paired-end run using an SP flow cell (v1.5, 300 cycles).

  Dataset EGAD50000001381

• Single cell RNA-seq of 24 samples from 13 individual human embryonic meninges of PCW 5.0-13.0 using 10X chromium technology

  A total of 24 samples of meninges from 13 normal human embryos of post-conceptional week (PCW) 5.0-13.0 were dissected and subject to 10Xgenomics chromium single cell RNA sequencing with the purpose of identifying cell types and gene expression programs for normal meninges development. All libraries were sequenced on an Illumina NovaSeq 6000 using S4 to a target sequencing depth of 100,000 reads/cell. Final data after processing with STARSolo 2.7.10a, using human genome GRCh38.p12 and transcript annotations from ENSEMBL release 93 from reference package GRCh38-3.0.0 as available from 10Xgenomics, consists of 24 BAM files.

  Dataset EGAD50000001434

• Sequence data to study genomic CNVs that drive apoptotic resistance and relapses on immune checkpoint inhibitors

  The dataset consists of bulk whole exome sequencing (WES) and whole genome sequencing (WGS) data from baseline and disease-progressed tumors after immune checkpoint inhibitor (ICI) treatment, derived from patients, human cell lines, and mouse models. Whole exome sequencing includes 17 clinical cases and one human cell line model with parental and acquired resistant cell lines (n = 5). Whole genome sequencing encompasses the YUMMER mouse model, including vehicle-treated controls (n = 2) and acquired resistant tumors (n = 3). The sequence reads have been aligned to hg19 and mm9 reference genomes, with mapped files (BAM) made available for analysis.

  Dataset EGAD50000001537

• RNAseq of baseline tumor tissue obtained during TUR to identify biomarkers for ICB response in MIBC

  RNAseq of baseline tumor tissue obtained during TUR to identify biomarkers for ICB response in MIBC. Constitutes the entire NABUCCO phase 1B clinical trial cohort. The NABUCCO 1 trial contains 18 single-end RNA sequenced samples and 6 paired end RNA sequenced samples. The NABUCCO 2 trial contains 25 paired end RNA sequenced samples. The file type for all of the samples is FASTQ. For single end RNA sequencing, Illumina HiSeq 2500 was used as the sequencing platform. For paired end RNA sequencing, the Illumina NovaSeq 6000 was used as the sequencing platform.

  Dataset EGAD50000002556

• Archive growth Statistics

  EGA Statistics Bibliography Growth Community Archive Distribution Catalogue In this section, we expose the overall volume of data available to download and the different archived file types. EGA Archive growth in size and number of files The below figure represents the EGA archive growth in size (TB) and number of files. EGA Archive Growth per year lineChart('ega-archive-growth', 'https://stats.ega-archive.org/growth/archive', ['Volume (TB)'], ['T']) Archive files The below figure represents on a initial level, the percentage of archived files by data technology. The second level, acessible by clicking in the required extension, displays the number of files by extension archived in the ega archive. Please click over the extension to learn more about the files. EGA Archived Files barChart('ega-archived-files', 'https://stats.ega-archive.org/extensions', false ,'', true)

  Documentation about/statistics/archive

• A Study to Evaluate Denosumab in Young Patients With Primary Breast Cancer (D-Beyond)

  This is a prospective, single arm phase IIa trial in which patients with early breast cancer will receive pre-operatively two doses of denosumab 120mg subcutaneously one week apart (maximum 12 days) followed by surgery. Tumor, normal breast tissue and blood samples will be collected at baseline and at surgery. Post-operative treatment will be at the discretion of the investigator.Primary objective: to determine if a short course of RANKL inhibition with denosumab can induce a decrease in tumor proliferation rates as determined by Ki67 immunohistochemistry (IHC) in newly diagnosed, early stage breast cancer in pre-menopausal women.

  Dataset EGAD00001004391

• High intensity sequencing of plasma cfDNA and WBC gDNA

  We sought to define the technical feasibility of a high-intensity sequencing assay of cfDNA and matched white-blood cell (WBC) DNA covering a large genomic region (508 genes, 2Mb, 60,000x raw-depth) in a prospective study of 124 metastatic cancer patients, with contemporaneous matched metastatic tumor tissue biopsies, and age-matched 47 non-cancer controls.

  Study EGAS00001003755

• Tumor gene expression profiles for the study "TGF-β attenuates tumour response to PD-L1 blockade by contributing to exclusion of T cells"

  RNA was extracted from formalin-fixed and paraffin embedded tumors of a large cohort of bladder cancer patients before treatment with anti-PD-L1. RNA was sequenced using a capture based approach (exome capture, RNA access).

  Dataset EGAD00001003977

• Multiple Malignancy Familial Comparison

  Patient (who has had multiple malignancies) has previously been found to harbour a pathogenic p53 variant which is probably mosaic. This finding is based on exome sequencing performed elsewhere. In this study we will resequence the locus in question to ascertain whether the variant is indeed mosaic.

  Dataset EGAD00001001062