14989 results for "cancer studies using rna-seq"

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• Discovery of genetic factors associated with thiopurine-induced severe adverse events

  Despite NUDT15 variants showing significant association with thiopurine-induced adverse events (AEs) in Asians, it remains unclear whether additional genetic variants should be tested to predict AEs. To clarify it, we performed a genome-wide association study to discover additional variants associated with thiopurine-induced severe AEs, alopecia and leukopenia. GWASs of these AEs were performed with 1221 Japanese patients with inflammatory bowel disease using population-optimized genotyping array and imputation.

  Study JGAS000661

• Spatial profiling of hepatocellular carcinoma identifies distinct tumor and immune micro-ecosystems related to patient outcomes

  Hepatocellular carcinoma (HCC) shows substantial intra-tumor heterogeneity that remains poorly understood. Using spatial transcriptomics, we identified 13 recurrent tumor and stromal micro-ecosystems (MES) and mapped their spatial organization and biological functions. One immune-enriched MES containing Kupffer cell–like macrophages was strongly associated with improved disease-free survival and response to atezolizumab–bevacizumab. Our findings demonstrate the value of spatial profiling for revealing rare but clinically meaningful cellular communities.

  Study EGAS50000001474

• Circulating Tumor DNA Analysis Profiles of Repotrectinib in NTRK fusion–positive advanced solid tumors: a phase 1/2 trial

  The dataset contains circulating tumor DNA (ctDNA) profiles from frozen plasma samples of 593 patients from the TRIDENT-1 clinical trial. Plasma was processed with centrifugation and automated liquid handling systems, and cell-free DNA was extracted using the Qiagen QIAsymphony platform. ctDNA libraries were constructed with the Guardant360 2.11 assay, which used targeted, hybridization-based capture and barcoding of cfDNA fragments for digital analysis, followed by high-throughput sequencing on the Illumina NextSeq 550 instrument. Sequencing data were processed and interpreted using the Bioinformatics Pipeline (BIP v3.5.2 or later) for variant calling and quantification and managed within LabVantage LIMS (v3.7 or later) to support sample tracking and workflow integration. Aligned read files are provided in bam and bai formats.

  Dataset EGAD50000002249

• Whole Genome Sequencing from patients with multiple myeloma treated with BCL2 inhibitor based treatment

  Samples was collected at the Mayo Clinic. MM tumor samples were enriched using the StemCell EasySep Human CD138 positive selection kit II (StemCell, Cambridge, MA). DNA from CD138+ MM cell (tumor) or peripheral blood samples (germline control) at Mayo Clinic (Rochester or Arizona) underwent WGS. For samples collected at Mayo Clinic Rochester, library preparation was completed using the NEB Ultra II (New England Biolabs, Ipswich, MA) and the Nextera Flex systems (Illumina, San Diego, CA) and sequenced at the Mayo Clinic Genome Analysis Core with an approximate depth of 30X for tumor samples and 60X for the germline control. For samples collected at Mayo Clinic Arizona, Novogene was used for WGS following random shearing of the DNA, end-repairs, A-tailed and ligated with Illumina adapters. Sequencing was performed on the Illumina Novaseq 6000 sequencer Reference Genome: GRCh38.

  Dataset EGAD50000002132

• Data distribution Statistics

  EGA Statistics Bibliography Growth Community Archive Distribution Catalogue Here, we show the amount of data distributed by the EGA. Data Distributed / Live EGA Data Distribution / Live SFTP Aspera HTSGET lineChartLive("svg#ega-dist-live", document.querySelector("#ega-figure-dist-live figcaption")); Data Distributed The below figure represents the cumulative EGA data distribution via the download clients(v2 and v3.x api versions) using HTTPS, FTP, and download boxes using ASPERA. You can see cumulative values by clicking "Cumulative". EGA Data Distribution //lineChart('#ega-data-distribution svg.stats', 'https://stats.ega-archive.org/distribution', // ['Amount of Distributed Data', ['Aspera', 'Download Clients', 'Total']]) curveChart('#ega-data-distribution', [ { domId: 'stats-aspera', label: 'Aspera', url: 'https://stats.ega-archive.org/distribution/aspera' }, { domId: 'stats-sftp' , label: 'SFTP', url: 'https://stats.ega-archive.org/distribution/sftp' }, //{ domId: 'stats-htsget', label: 'HTSGET', url: 'https://stats.ega-archive.org/distribution/htsget' }, { domId: 'stats-streamer' , label: 'Download Client', url: 'https://stats.ega-archive.org/distribution/streamer' }, { domId: 'stats-total' , label: 'Total', url: 'https://stats.ega-archive.org/distribution/total' } ] );

  Documentation about/statistics/distribution

• Validation_of_Exome_sequencing_of_S7RE_iPSC_lines

  PCR products were obtained from each target loci using genomic DNA from human iPS cells. Subsequently, PCR products are pooled and subjected to Illumina library preparation. The library will be sequenced either by HiSeq or MiSeq. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000423

• Deep_sequencing_of_S7EPC_genome

  PCR products were obtained from each target loci using genomic DNA from human iPS cells. Subsequently, PCR products are pooled and subjected to Illumina library preparation. The library will be sequenced either by HiSeq or MiSeq. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000437

• Genomic and epigenomic insights into the origin, pathogenesis and clinical behavior of mantle cell lymphoma subtypes

  Mantle Cell Lymphoma can be subdivided into conventional (cMCL) and leukemic non-nodal MCL (nnMCL), which differ in the cell of origin, gene expression, biological characteristics and clinical evolution. Using genomic, epigenomic and transcriptomic data we identified common and particular alterations in the two subtypes, either point mutations, copy number alterations or structural variants some of them with prognostic impact.

  Study EGAS00001004165

• Sequencing of heritable Bleeding and Platelet Disorders

  The BRIDGE-BPD study aims to discover new causal genes for Bleeding and Platelet Disorders (BPD) by high throughput sequencing using cluster analyses based on improved and standardized deep phenotyping of cases. BPD is one of the 13 Rare Disease projects under the NIHR BioResource Rare Diseases BRIDGE consortium, which is a collaboration aiming to discover the genetic sequence variants underlying unresolved inherited disorders and to improve identification of already identified high penetrance variants.

  Study EGAS00001001172

• Validation_of_SNVs_found_by_Exome_seq_in_S2_SF1___SF5_and__SF9_hiPSCs

  PCR products were obtained from each target loci using genomic DNA from human iPS cells. Subsequently, PCR products are pooled and subjected to Illumina library preparation. The library will be sequenced either by HiSeq or MiSeq. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000464

• Subclonal_analysis_in_S7RE2_and_S7RE14_iPS_cells

  PCR products were obtained from each target loci using genomic DNA from human iPS cells. Subsequently, PCR products are pooled and subjected to Illumina library preparation. The library will be sequenced either by HiSeq or MiSeq. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/

  Study EGAS00001000441

• IgCaller

  IgCaller is a python program designed to fully characterize the immunoglobulin (IG) gene rearrangements and oncogenic translocations in lymphoid neoplasms from whole-genome sequencing (WGS) data. Using a cohort of 331 patients comprising different subtypes of B-cell neoplasms, we demonstrate that IgCaller identifies both heavy and light chain rearrangements providing additional information on their functionality, somatic mutational status, class switch recombination, and oncogenic IG translocations. We provided here IG reads of the previously unpublished WGS.

  Study EGAS00001004298

• Exome sequencing of advanced hepatocellular carcinoma

  The aim of our project is to decipher the genomic of advanced hepatocellular carcinoma using whole exome sequencing. To this purpose, we aim to compare genetic landscape of advanced hepatocellular carcinoma with early tumor in order to understand the mechanisms of tumor progression. This work will also help to identify new therapeutic targets potentially useful to treat patients at advanced stage. This study contain whole exome sequencing aligned reads for 41 tumor with matched normal samples

  Study EGAS00001003130

• Tetralogy of fallot whole-exome sequencing

  829 adult and child probands of Northern European ancestry presenting with TOF were recruited from nine centres: seven in the UK, Leuven (Belgium), and Sydney (Australia). Patients sequenced exhibited no clinical features of recognised syndromes, extra-cardiac abnormalities or learning difficulties. All samples were screened for the 22q11.2 deletion associated with TOF prior to sequencing to ensure that this was not present. Samples were sequenced on HiSeq2000 and reads aligned using BWA.

  Study EGAS00001003302

• DNA methylation repeatability in the Lothian Birth Cohorts of 1921 and 1936.

  The repeatability of longitudinal measures of whole blood DNA methylation (obtained using the Illumina 450k chip) was assessed in two cohorts of ageing. The Lothian Birth Cohort of 1921 and the Lothian Birth Cohort of 1936. Data were collected at ages 70, 73, and 76 (LBC1936) and 79, 87, 90 (LBC1921) with 478 participants having two or more measures of methylation.

  Study EGAS00001000910