12000 results for "cancer rna-seq"

in 23.93 milliseconds.

• Cellular Origins and Genetic Landscape of Cutaneous GD T Cell Lymphoma

  Cutaneous gamma-delta T cell lymphomas are a rare and aggressive subtype of cutaneous lymphoma. In the present study, we analyzed these cancers by DNA and RNA sequencing in order to illuminate the genetic landscape for this rare disease. We obtained tumor samples from multiple institutions, including Northwestern University (Chicago, IL), University of Chicago (Chicago, IL), University of Virginia (Charlottesville, VA), and Massachusetts General Hospital (Boston, MA).

  Study phs001969

• Single Cell Analysis of Healthy and Diseased Temporomandibular Joint Synovial Fluid

  Temporomandibular joint disorders (TMJDs) are a set of complex, poorly understood painful conditions that negatively affect many children and adults in the US. In this study, we establish a protocol to utilize irrigation fluid from TMJ arthrocentesis to perform single-cell RNA sequencing on cells contained in TMJ synovial fluid. Our results should help investigators better understand these conditions and identify novel therapeutic options.

  Study phs003645

• Molecular Correlatives from SU2C-SARC032

  SU2C-SARC032 was a phase II international, randomized trial for patients with localized, high-risk undifferentiated pleomorphic sarcoma or dedifferentiated or pleomorphic liposarcoma of the extremity and limb girdle. On the trial, the addition of perioperative pembrolizumab to preoperative radiotherapy and surgery improved disease-free survival compared to preoperative radiotherapy and surgery alone. Bulk RNA-sequencing was performed on pre-treatment and surgically resected tumor specimens.

  Study phs003921

• RNA004 DRS METTL5 variant

  RNA004 is a method for direct RNA sequencing (DRS) that holds promise to enhance the detection of modopathies. To this end, we provide DRS data for a patient sample harboring heterozygous inactivating SNPs for the methyltransferase METTL5, which modifies m6A on 18S rRNA. Companion datasets are 1) EGAS50000001201 for DRS of a healthy control with intact METTL5 and 2) PRJEB74238 for IVT 18S rRNA vector data as unmodified control.

  Study EGAS50000001321

• Bulk RNAseq FASTQ files of WNT7B reporter PDAC organoids (P28 and P40) sorted by mNeonGreen high and low

  This dataset contains raw FASTQ files from bulk RNA sequencing of two patient-derived PDAC organoid lines (P28 and P40) carrying a WNT7B reporter knock-in. Organoids were sorted into mNeonGreen high (WNT-high) and low (WNT-low) populations, with three biological replicates per sorted population. RNA was extracted using the Qiagen QiaSymphony SP system, and libraries were prepared with the Illumina Truseq stranded polyA kit. Sequencing was performed on an Illumina NextSeq2000 platform using single-end 50bp reads. Quality control was conducted with FastQC, and reads were trimmed with TrimGalore as appropriate. Data are controlled-access and intended for transcriptomic analysis of WNT7B expression-dependent transcriptional programs in PDAC organoids.

  Dataset EGAD50000002218

• Transcriptomic profiling of myeloid cells from secondary lymphoid organs (lymph nodes and tonsils) from lymphoma patients and controls.

  Despite their recognized impact on the pathogenesis and prognosis of B-cell lymphoma, tumor-associated macrophages (TAM) have not been extensively explored in diffuse large B-cell lymphoma (DLBCL) and follicular lymphoma (FL). We investigated mononuclear phagocyte (MNP) heterogeneity using single cell RNA sequencing (scRNAseq) in B-cell lymphoma lymph nodes compared to reactive secondary lymphoid organs (lymph nodes and tonsils).

  Study EGAS50000001135

• RNA_expression_profiling_of_melanoma_patient_derived_xenograft

  Patient-derived xenografts (n=96) were derived from metastatic melanoma patients. RNA expression profiling will be preformed to study 1. HLA-typing and 2. the effect of the tumour microenvironment on tumour growthThis 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 EGAS00001001537

• HG Transcriptome sequencing in the INTERVAL cohort

  We performed bulk RNA-sequencing on peripheral blood collected from 4,732 blood donors recruited as part of the INTERVAL study. Using these data, we mapped gene expression and splicing quantitative trait loci (QTLs). Then, we integrated these data with protein, metabolite and lipid QTLs in the same individuals. The study aimed to identify the shared genetic etiology across transcriptional phenotypes, molecular traits and health outcomes in humans.

  Study EGAS00001003346

• RNAseq Iron-Treated iPSC-derived Microglia

  Iron accumulation in microglia has been observed in Alzheimer’s disease and other neurodegenerative disorders and is thought to contribute to disease progression through various mechanisms including neuroinflammation. To study the interaction between iron accumulation and inflammation, we treated human induced pluripotent stem cell-derived microglia (iPSC-MG) with an increasing concentration of iron, in combination with inflammatory stimuli such as interferon gamma and amyloid β, and performed RNA sequencing.

  Study EGAS00001006112

• Somatic L1 retrotranspositions in normal human cells

  Genomic mutations accumulate in normal cells during lifetime; however, somatic mosaicism generated by mobilization of transposable elements is not well understood. Here, we explored whole-genome sequences of single-cell expanded clones to illustrate the mutational landscape produced by L1. In addition, we analyzed promoter DNA methylation status of retrotransposition-competent L1 and read-through RNA expression profiles to investigate the epigenetic regulation of L1 activity.

  Study EGAS00001006213

• Multiomics Characterization of Low-grade Serous Ovarian Carcinoma

  Low-grade serous ovarian carcinoma (LGSOC) is a rare tumor subtype with high case fatality rates. There is a pressing need to develop effective treatments using newly available preclinical models for therapeutic discovery and drug evaluation. In this study, we use multiomics integration of whole exome sequencing, RNA sequencing, and mass spectrometry-based proteomics on fourteen LGSOC patient derived cell lines to elucidate novel biomarkers and therapeutic vulnerabilities.

  Study EGAS00001004724

• SPECIAL: Dissecting the melanoma ecosystem one cell at the time during immunotherapy

  The aim of this study was to identify potential biomarkers of response to immunotherapy (anti-PD1-based) as well as gain understanding of the biological mechanism of therapy resistance (either intrinsic or acquired) in melanoma patients. Single cell RNA sequencing was performed from pre- and on-treatment (2-3 weeks after immunotherapy) metastatic biopsies from stage III and IV melanoma patients.

  Study EGAS00001006488

• Gene expression by RNAseq in bronchial biopsies of asthmatics, asthma in remission and healthy subjects

  The study focus was differential expression in bronchial biopsies between persistent asthma, asthma in remission and healthy controls using RNAseq. There were 184 samples that passed QC. RNA samples were processed using the TruSeq Stranded Total RNA Sample Preparation Kit (Illumina, San Diego, CA), using an automated procedure in a Caliper Sciclone NGS Workstation (PerkinElmer, Waltham, MA). In this procedure, all cytoplasmic and mitochondria rRNA was removed (RiboZero Gold kit). The obtained cDNA fragment libraries were loaded in pools of multiple samples unto an Illumina HiSeq2500 sequencer using default parameters for paired-end sequencing (2 × 100 bp). Data are available as 221 pairs of FASTQ-files. Note that several samples are associated with multiple sequence runs.

  Dataset EGAD00001005112

• Plasma-Seq of patients with metastatic prostate cancer

  Study 1 In this study we analysed patients with metastatic prostate cancer to scan their tumor genomes noninvasively in plasma DNA. We wanted to make whole-genome analysis from plasma DNA amenable to clinical routine applications and developed an approach based on a benchtop high-throughput platform, i.e. Illuminas MiSeq instrument. We performed whole-genome sequencing from plasma at a shallow sequencing depth to establish a genome-wide copy number profile of the tumor at low costs within 2 days. The genome-wide profiling in the plasma of our patients revealed multiple copy number aberrations including those previously reported in prostate tumors, such as losses in 8p and gains in 8q. High-level copy number gains in the AR locus were observed in patients with CRPC but not with CSPC disease. We identified the TMPRSS2-ERG rearrangement associated 3-Mbp deletion on chromosome 21 and found corresponding fusion plasma fragments in these cases. In an index case multiregional sequencing of the primary tumor identified different copy number changes in each sector, suggesting multifocal disease. Our plasma analyses of this index case, performed 13 years after resection of the primary tumor, revealed novel chromosomal rearrangements, which were stable in serial plasma analyses over a 9 months period, which is consistent with the presence of one metastatic clone. Our approach provides specific genomic signatures within 2 days which may therefore serve as “liquid biopsy”.

  Study EGAS00001000451

• CLL_cancer_Sample_Sequencing

  Genomic libraries (500 bps) will be generated from total genomic DNA derived from CLL cancer samples and subjected to total of eight lanes of 37 bp, paired end sequencing on the llumina GA. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000011

• Low T cell diversity is associated with poor outcome in bladder cancer - Total RNAseq data

  T cells are crucial effector cells in the endogenous defense against cancer, yet the clinical impact of their quantity, diversity, and dynamics remains underexplored. In this study we performed total RNAseq on blood samples from 8 patients with muscle invasive bladder cancer. The goal was to compare blood T cell subtype composition between patients with low and high TCR diversity.

  Study EGAS50000000939

• Evaluation of novel therapies using primary cultured gynecological cancer cells and search for predictors of efficacy

  The objective of this study is to establish an optimal method to evaluate the anti-tumor efficacy and biological activity of the novel therapies under investigation in our department using cancer tissues and cells derived from patients with gynecological malignancies in vitro and to evaluate them in practice. This research will contribute to the development of new treatments for gynecological cancer.

  Study JGAS000809

• Canadian prostate cancer samples (CPC-GENE) for PanProstate study

  CPC-GENE has sequenced the genomes of 350 intermediate risk prostate cancers to identify genetic signatures that differ in cancers that responded well to treatment compared with those that did not. CPC-GENE also has sequenced multiple regions of prostate cancer from the same gland to determine if and how the genetic make-up of prostate cancer varies within an individual man’s prostate

  Study EGAS00001003037

• Analysis of Loose Ends in Cancer Genome Structure

  Short-read sequencing (SRS) forms the basis of our understanding of cancer genome evolution, yet it is widely thought to be inadequate for detecting structural variants (SVs). To understand the nature of cancer SVs missed by SRS, we introduce the concept of "loose ends" - sites of missing rearrangements revealed by balancing copy number (CN) across the genomic intervals and adjacencies of a genome graph.

  Study EGAS00001007324

• B Cell Receptor Study From Metastatic Breast Cancer Tumour Samples

  B and T cells are key components of the adaptive immune system and play an important role in anti-cancer immunity. In this study, we performed an integrative analysis of the B cell and T cell repertoires across 27 metastatic breast tumours obtained from 8 donors with therapy-resistant lethal metastatic breast cancer at the time of a warm autopsy.

  Study EGAS00001006976

• Glioma_cell_lines_rearrangement_screen

  Genomic libraries (500 bps) will be generated from total genomic DNA derived from commomon epithelial cancer samples and subjected to total of eight lanes of 37 bp, paired end sequencing on the llumina GA. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000202

• Renal_Follow_Up_Series

  This study's purpose is to use data generated in Renal whole genome and exome Cancer sequencing to target specific areas in multiple other Renal Cancer samples. These areas will then be subjected to bespoke pull downs, tagged and then pool the resultant amplicons. These amplicons will then be sequenced. This is hoped to show the prevalence of previous findings in multiple individuals in a high throughput method.

  Study EGAS00001000095

• Non_Tumour_Renal_Cell_Line_Sequencing

  Genomic libraries (500 bps) will be generated from total genomic DNA derived from commomon epithelial cancer samples and subjected to total of eight lanes of 37 bp, paired end sequencing on the llumina GA. Paired reads will be mapped to build 37 of the human reference genome to facilitate the generation of genome wide copy number information, and the identification of novel rearranged cancer genes and gene fusions.

  Study EGAS00001000205

• ANGIOPREDICT - an FP7-funded project enabling personalised medicine for patients with metastatic colorectal cancer.

  In ANGIOPREDICT, academic cancer biologists and industry-based biotechnology researchers will work together with clinicians to identify biomarkers to predict whether individual metastatic colorectal cancer patients will respond positively to Avastin® combination therapy. Diagnostic tests using these biomarkers will also be developed to provide clinicians with the means to predict patient treatment responses in the future.

  Study EGAS00001005423

• Exome sequencing of paired primary tumor and metastatic breast cancer

  Prognosis evaluation of advanced breast cancer and therapeutic strategy are mostly based on clinical features of advanced disease and molecular profiling of the primary tumor. Very few studies have evaluated the impact of a prospective documentation of metastatic subtyping. The genomic landscape of metastatic breast cancer has mostly been described in very advanced, pretreated disease, limiting its transferability to clinical use.

  Study EGAS00001004578

• PML complete dataset

  We generated single-cell transcriptomics, single-nuclei chromatin accessibility, CITE-seq and Multiomics of patients with PML. Pools are genetically multiplexed across donors, genotypic variation is included in this dataset to enable demultiplexing.

  Dataset EGAD50000000197

• Cord blood progenitor CITE-seq dataset

  Sequencing results of single-cell transcriptome and antibody libraries from two biological experiments of cord blood progenitor cells. Four samples from different time points were processed using 10X Genomics Chromium Next GEM Single Cell 3’ Reagent Kits v3.1. Gene expression and antibody-derived libraries were sequenced separately.

  Dataset EGAD50000000405

• EBNA2 ChIP-Re-ChIP in primary B-cells infected with EBV virus

  EBNA2 ChIP-Re-ChIP in primary bulk B cells 4 days post EBV-infection with B95-8. DNA binding elements of the viral master regulator EBNA2, EBNA2-CBF transcription factor complex or EBNA2-EBF1 transcription factor complex were analyzed to identify virally targeted genes.

  Dataset EGAD50000000301

• Target sequencing of 53 synovial sarcoma patients

  This dataset contains 138 .bam files sequenced with Illumina NovaSeq 6000. The files with the variant calling performed to the sequencing data, as well as the clinical data (phenotype) extracted during the sample extraction.

  Dataset EGAD50000000743

• Strand-seq data of six CK-AML patient samples and three matching PDXs

  We performed strand-specific single-cell sequencing of six primary leukemia samples from four CK-AML patients. We also performed strand-specific single-cell sequencing of three matching patient-derived xenografts (PDXs). The dataset contains BAM files for each cell.

  Dataset EGAD50000000634

• scRaCH-seq fastq files

  We base called the raw data of nanopore sequencing using the Guppy software (v3.1.5) with “dna_r9.4.1_450bps_sup_prom.cfg” configuration. The passed reads (Qscore > 9) are deposited in this EGA study.

  Study EGAS50000000165

• Dataset of Recurrent resistance mutations to lirafugratinib delineate treatment sequences for FGFR2-driven tumors

  This dataset is made of 23 pairs of RNAseq and 36 pairs of Exome-seq, both sequenced from Illumina Novaseq. This includes 47 samples, composed of 25 tumors, 13 healthy and 9 xenograft

  Dataset EGAD50000001981

• Chromatin accessibility in human monocytes differentiation

  This dataset consists of ATAC-seq data from human monocytes, monocyte-derived dendritic cells or monocyte-derived macrophages as well as monocyte-derived cells that were subjected to siRNA treatment targeting CTCF or RAD21. In total, it includes 39 samples.

  Dataset EGAD00001007953

• Bulk RNAseq with monocyte spike-ins

  This dataset contains bulk transcriptomes from the operable cohorts of the LUD2015-005 study (NCT02735239, EudraCT 2015-005298-19), used to verify the deconvolution method used for the scRNA-seq dataset.

  Dataset EGAD00001010306

• Transcriptomics sequencing 4 samples from the same KMT2A-rearranged Acute Lymphoblastic Leukemia patient

  Dataset contains four samples taken from a neonate with congenital KMT2A-rearranged Acute Lymphoblastic Leukemia patient (CHI-0391) with rare IKZF1 gene fusions. Sequencing was carried out using mRNA-seq sequencing on a Illumina NextSeq 500 machine

  Dataset EGAD00001009974

• BLUEPRINT Methylome saturation and COMET analysis of monocyte samples

  Bisulfite-Seq of CD14-positive, CD16-negative classical monocyte samples for methylome saturation and COMET analysis

  Dataset EGAD00001001261

• Tam-seq of germline samples for HGSOC copy-number signatures study

  This dataset contains targeted amplicon sequencing of Germline DNA extracted from 56 blood samples. They were sequenced on Illumina HiSeq 2500 and aligned to human genome assembly GRCh37 (hg19)to produce 127 bam files (2-3 technical replicates per sample).

  Dataset EGAD00001004172

• Genetic and epigenetic characterization of adenoid cystic carcinoma

  Whole genome sequences of ACC primagrafts, Histone modification maps and transcription factor binding maps for ACC primagrafts and primary tumors. Processed ChIP-seq data is available on GEO under accession number GSE76465.

  Dataset EGAD00001001662

• A Single-cell Atlas of Progressive TKI Resistance in Chronic Myeloid Leukemia

  57 Bone marrow specimens for 5 healthy bone marrow and 24 CML samples profiled with 10X scRNA-seq 5' upon separation using MACS for CD34.

  Dataset EGAD00001007946

• De Novo Characterization of Cell-Free DNA Fragmentation Hotspots in Plasma Whole-Genome Sequencing

  The raw sequencing data deposited here are low-coverage (~1X) whole-genome sequencing (WGS) of plasma cell-free DNA (cfDNA). The purpose is to validate the performance of early-stage cancer diagnosis in the Zhou et al. 2020 BioRxiv paper, mainly for two types of cancer: early-stage liver cancer and breast cancer. The cases and controls are matched with age, gender, smoking history, and alcohol usage. We developed a computational method to identify the cfDNA fragmentation hotspots from pooled low-coverage cfDNA WGS data. We found the cfDNA fragmentation hotspots are highly enriched in regulatory regions, such as open chromatin regions. The signals from these regions can help the diagnosis of early-stage cancers and their tissues-of-origin.

  Study phs003062

• Ultrasensitive Detection and Monitoring of Circulating Tumor DNA using Structural Variants in Early-Stage Breast Cancer

  Circulating tumor DNA (ctDNA) detection has an emerging role in the management of breast cancer, offering a non-invasive means to monitor disease status and detect recurrence. This study demonstrates that longitudinal monitoring of tumor-specific structural variants - frequent alterations observed across many tumor types including all subtypes of breast cancer derived from Whole Genome Sequencing data - allows for ctDNA detection in nearly all participants in this cohort with untreated early breast cancer prior to starting neoadjuvant therapy. On-treatment ctDNA monitoring enabled the early identification of patients at high risk of recurrence and ctDNA was detected prior to relapse in participants across all receptor subtypes. These findings demonstrate the clinical validity of this assay approach for ultrasensitive ctDNA monitoring.

  Study EGAS50000000799

• DNA Repair Capacity for Lung Disease Risk Assessment

  A focus of this work was to address the extent to which susceptibility for lung cancer varies by gene-environment-phenotype interactions involving DNA repair capacity and differences in risk from environmental stressors. GWAS from a subset of subjects from the Lovelace Smokers Cohort and New Mexico Lung Cancer cohort were used to derive polygenic risk scores for DNA repair pathways (nucleotide excision, base excision, single strand break, non-homologous, homologous recombination). Logistic regression analysis was used to examine the association between polygenic risk score and lung cancer status. Polygenic risk scores were grouped by quartiles. Only diminished base excision repair was associated with increased risk for lung cancer at the 25-50% quartile and approached significance at the 50-75% quartile.

  Study phs004063

• Construction of endoscopic biopsy banking for understanding the intestinal environment in colorectal diseases and exploratory studies using these banking systems.

  Colorectal cancer is the most common type of cancer in Japan. Although some colorectal cancers have a genetic background, most colorectal cancers are sporadic. Known risk factors for colorectal cancer include smoking, obesity, lack of exercise, and red and processed meat. Furthermore, although it has been suggested that changes in the intestinal environment due to changes in diet and lifestyle may be involved in the increased incidence of colorectal cancer in Japan, the molecular mechanism has not yet been fully elucidated. The main objective of this study is to elucidate the changes in the intestinal environment that cause colorectal tumors, and also to contribute to the establishment of colorectal mucosal tissue banking in Japan.

  Study JGAS000655

• MutWP1: CRUK Grand Challenge Mutographs of Cancer: pancreas (2019-04-03)

  The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, the International Agency for Research on Cancer is coordinating the recruitment of 5000 individuals with cancer (colorectal, renal, pancreatic, oesophageal adenocarcinoma or oesophageal squamous cancers) across 5 continents to explore whether different mutational signatures explain marked variation in incidence. In brief, through an international network of collaborators around the world, biological materials are collected, along with demographic, histological, clinical and questionnaire data. Whole genome sequences of tumour-germline DNA pairs are generated at the Wellcome Trust Sanger Institute (Illumina HiSeqX, 40X and 20X depth respectively). Somatic mutational signatures are subsequently extracted by non-negative matrix factorisation methods and correlated with risk factors data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development. . This dataset contains all the data available for this study on 2019-04-03.

  Dataset EGAD00001004893

• MutWP1: CRUK Grand Challenge Mutographs of Cancer: Colorectal_LCM (2020-02-20)

  The Mutographs project aims to advance our understanding of the causes of cancer through studies of mutational signatures. Led by Mike Stratton, together with Paul Brennan, Ludmil Alexandrov, Allan Balmain, David Phillips and Peter Campbell, this large-scale international research endeavour was awarded a Cancer Research UK Grand Challenge. Different patterns of somatic mutation are generated by the different environmental, lifestyle and genetic factors that cause cancer, many of them are still unknown. Within Mutographs, the International Agency for Research on Cancer is coordinating the recruitment of 5000 individuals with cancer (colorectal, renal, pancreatic, oesophageal adenocarcinoma or oesophageal squamous cancers) across 5 continents to explore whether different mutational signatures explain marked variation in incidence. In brief, through an international network of collaborators around the world, biological materials are collected, along with demographic, histological, clinical and questionnaire data. Whole genome sequences of tumour-germline DNA pairs are generated at the Wellcome Trust Sanger Institute. Somatic mutational signatures are subsequently extracted by non-negative matrix factorisation methods and correlated with risk factors data. Through an enhanced understanding of cancer aetiology, Mutographs unprecedented effort is anticipated to outline modifiable risk factors, lead to new approaches to prevent cancer, and provide opportunities to empower early detection, refine high-risk groups and contribute to further therapeutic development. . This dataset contains all the data available for this study on 2020-02-20.

  Dataset EGAD00001005994

• OICR PANCREATIC CANCER DATASET 2

  OICR PANCREATIC CANCER DATASET 2

  Dataset EGAD00001000276

• Colorectal cancer cells possess an equipotent capacity to enter a developmental pausing-like state to survive chemotherapy

  Study EGAS00001004773

• Patient-derived organoids identify tailored therapeutic options and determinants of plasticity in sarcomatoid urothelial bladder cancer

  Study EGAS00001007430

• Plasma ctDNA is a tumor tissue surrogate and enables clinical-genomic stratification of metastatic bladder cancer

  Study EGAS00001004615

• Summary statistics for cervical cancer GWAS

  Summary statistics from GWAS meta-analysis of cervical cancer

  Dataset EGAD00001004361