15070 results for "cancer studies using rna-seq"

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• Breast cancer PDTX sequencing data from Bruna et al, Cell 2016

  Breast cancer PDTX sequencing data from Bruna et al, Cell 2016 - Exome Sequencing - Shallow Whole Genome Sequencing - RRBS Methylation Sequencing

  Dataset EGAD00001002685

• patient-derived head and neck cancer organoids

  patient-derived head and neck cancer organoids

  Dataset EGAD00001010134

• Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WXS

  Molecular analysis of cancer genomes in children with Lynch syndrome: exploring causal associations WXS

  Dataset EGAD00001010043

• Reference DNA standards for GCLP pipeline

  The use of reference DNA standards generated from cancer cell lines sequenced in the Cancer Genome Project to establish the sensitivity, specificity, accuracy and reproducibility of the WTSI GCLP sequencing pipeline

  Dataset EGAD00001002015

• Whole genome sequencing data of 15 French Caucasian and 10 African-Caribbean men with prostate Cancer.

  Whole genome sequencing data of 15 French Caucasian and 10 African-Caribbean men with prostate Cancer.

  Dataset EGAD00001003115

• Her2 BC WGS dataset

  We propose to definitively characterise the somatic genetics of breast cancer through generation of comprehensive catalogues of somatic mutations in breast cancer cases by high coverage genome sequencing coupled with integrated transcriptomic and methylation analyses.

  Dataset EGAD00001001334

• Whole genome sequencing of cfDNA

  random whole-genome shotgun sequencing of cfDNA in control samples (NPH*) and late-stage cancer samples. First letter denotes primary cancer tissue (C: Colon, B: Breast, P: Prostate)

  Dataset EGAD00001005343

• Evaluation of somatic mutations in cervicovaginal samples as a non-invasive method for the detection and molecular classification of endometrial cancer

  Evaluation of somatic mutations in cervicovaginal samples as a non-invasive method for the detection and molecular classification of endometrial cancer

  Dataset EGAD00001011123

• METABRIC miRNA landscape

  MicroRNAs (miRNAs) are key players in cancer pathogenesis1. They display differential expression across breast cancer subtypes, and play oncogenic and tumor-suppressive roles2-6. A systematic study of the global miRNA landscape in breast cancer and the factors shaping it has not been undertaken. Here we report the results of profiling miRNA expression in 1,302 breast tumors with detailed clinical annotation and long-term follow-up, and for which matching genomic and mRNA expression data were available7. This provides a comprehensive view of the quantity, distribution and variation of the miRNA population and dissects how much genomic, transcriptional and post-transcriptional events contribute to miRNA expression architecture. The key clinical parameters and cellular pathways related to the miRNA landscape are identified, exemplified by context-dependent interaction with cell adhesion and Wnt signaling. Strikingly, in breast cancer miRNAs appear to act as modulators of mRNA-mRNA interactions rather than molecular switches. We demonstrate an important modulatory role for miRNAs in the biology of breast tumors devoid of somatic copy number aberrations, a common subtype where immune response is prominent. Remarkably, prognostic miRNA signatures derived in this subtype are consistently prognostic across several other subtypes and validate in external cohorts. These findings represent a new framework to study the biology of miRNA in human cancer.

  Study EGAS00000000122

• Copy number profiling of putative cancer stem from pleural effusion aspirates from breast cancer patients

  A common symptom during late stage breast cancer disease is pleural effusion, which is related to poor prognosis. In pleural effusions malignant cells can be detected, which indicates a metastatic spread from the primary tumor site. Beside the usefulness for investigation of the metastatic process, it has been a source to isolate cells with putative cancer stem cell (CSC) properties. For this study, pleural effusion aspirate from 25 metastatic breast cancer patients were processed to establish in vitro culture. Patient-derived aspirates were cultured under sphere forming conditions and isolated primary cultures were sorted for cancer stem cell populations ALDH1+ and CD44+CD24-/low and sphere forming efficiency of CSC and non-CSC subpopulation was determined. Unsorted cells had a higher potential to form spheres compared to CSC subpopulations. Subsequently, DNA was isolated from pleural effusions before and after cell sorting, to compare their copy number profiles generated by low-coverage whole genome sequencing to DNA from FFPE primary tumors or bone metastasis. Unbalanced profiles could be detected in four pleural samples before sorting, in two ALDH1+ sorted samples, in one CD44+CD24-/low and in all control samples. Additionally, spheroid culture from one pleural sample could be passaged on and was characterized. Therefore, pleural effusions are an appropriate media for enrichment of putative CSC. However, low-coverage sequencing is difficult due to low quantities of abnormal cells compared to normal cells.

  Study EGAS00001002343

• Transcriptome and TCR Sequencing of T Cells from Metastectomies

  T cells were sorted from metastatic tumors (colon, rectal, breast, anal, melanoma primary histologies) following tumor dissociation and single-cell sequencing was performed (RNAseq and TCRseq). For samples from tumors that had been previously studied, cells were analyzed comparing known neoantigen-reactive TCR-expressing cells to other T cells. For samples without previously identified neoantigen reactivity, TCRs were predicted on the basis of T cell transcriptomic states. To determine candidate neoantigen screening, exome and RNA sequencing were performed on fragments of matched tumors from which T cells were sequenced   

  Study phs002748

• Identification of Putative Neoantigens in Stage III Melanoma

  This study of three metastatic melanoma patients utilized exome sequencing and RNA sequencing to help identify putative neoantigen peptides that could be further validated by standard immunological assays before design of a personalized vaccine. For each set of neoantigens identified and verified by standard assays, we designed GMP peptides that correspond to the top neoantigens, then used these to condition dendritic cell isolates from each patient. The conditioned dendritic cells were used as the vaccine in three rounds of vaccination, followed by monitoring for T cell memory response to each of the neoantigens.

  Study phs001005

• Genomic and transcriptomic characterization of chordoma

  In this study, we performed paired tumor/normal whole exome and shallow long insert whole genome sequencing, as well as tumor RNAseq, from archival chordoma specimens collected from four patients at the Barrow Neurological Institute in Phoenix, AZ. The purpose of this analysis was to identify potential therapeutic targets. In three patients, we observed that although different DNA and RNA changes were present in each tumor, alterations fell on converging pathways. In the fourth patient, constitutional DNA demonstrated potentially pathogenic alterations that may have predisposed the patient to chordoma.

  Study phs001643

• Single-Cell Analysis of the Multiple Myeloma Microenvironment after Gamma-Secretase Inhibition and CAR T-Cell Therapy

  We examined the effects of gamma-secretase inhibition (GSI) on the bone marrow microenvironment in multiple myeloma patients before anti-B-cell maturation antigen (BCMA) CAR T-cell therapy. Single-nuclei RNA and ATAC sequencing revealed significant changes in gene expression and chromatin accessibility, especially in monocytes and tumor cells, following exposure to GSI. The findings suggest that GSI influences not only BCMA signaling but also broader cellular interactions within the tumor microenvironment. De-identified sequencing data from the study is available through dbGaP.

  Study phs003741

• Reconstitution of Human Brain Cell Diversity in Organoids via Four Protocols [time-course bulkRNAseq]

  Time-course bulk-RNA sequencing of brain organoids grown in four distinct growth protocols designed to generate dorsal (D) and ventral (V) forebrain, midbrain (M) and striatum (S) tissue at days 13 (for dorsal and ventral)/16 (for midbrain and striatum), 25, 40, 80 and 120. Per per cell line-protocol-timepoint combination three organoids (biological replicates) were grown. For reference, also three samples of the pluripotent stem cells across cell lines, not yet exposed to any protocol, were sequenced (day 0, pluripotent).

  Study EGAS50000000663

• Deciphering the complex clonal heterogeneity of polycythemia vera and the response to interferon alpha

  We integrated colony formation and differentiation assays with single-cell RNA sequencing and single-cell genotyping in PV patient-derived cells vs. healthy controls to dissect how IFNa targets diseased clones during erythroid differentiation. Our findings indicate that PV-derived clones either undergo apoptosis or pass through their typical differentiation cycle, contributing to the long-term exhaustion of mutant cells in the bone marrow. The pivotal roles of ribosomal genes and clonal prerequisites in the therapeutic mechanism of IFNa are underscored by our study.

  Study EGAS50000000904

• Transcriptomic profiling of fragile X syndrome unmethylated full mutation carriers

  Total RNA sequencing of fibroblasts from two unrelated FMR1 unmethylated full mutation carriers, a fragile X patient and a control individual. The existence of rare, unmethylated full mutation carriers who carry the mutation that causes fragile X syndrome but do not gain methylation at the locus offers a rare opportunity to study the mechanisms underlying fragile X syndrome. This study aims to compare the transcriptomes of these four individuals in order to elucidate the mechanism behind the methylation a the FMR1 CGG repeat expansion that causes Fragile X syndrome.

  Study EGAS50000000647

• Single cell transcriptome sequencing of the developing human embryonic meninges

  There are no effective medical therapies for meningiomas, partly due to our limited understanding of their cellular origin and composition For this purpose, we generated data to make a comprehensive reference single cell and spatial transcriptomic atlas of human fetal meninges. Samples of meninges from 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, Furthermore, this dataset should help discover cells of origin for meningiomas.

  Study EGAS50000000980

• Gene expression data of 2D duodenum organoids with or without continuous flow

  We developed a monolayer culture system for small intestinal organoids, and then placed the culture plate on a rotator to generate a constant flow in the overlay medium. This mechanical stimulation facilitated the formation of villus-like structures from the monolayer of small intestinal organoids. We analyzed gene expression of 2D normal duodenum organoids with or without medium rotation. Total RNA was extracted from organoids with or without a four-day medium rotation, and after 0, 1, 2 or 4 days of medium rotation, and sequenced with HiSeq X Ten (Illumina).

  Study JGAS000256

• Genomic Landscape of Pediatric Myelodysplastic Syndromes

  Pediatric myelodysplastic syndromes (MDS) are a rare disease and unlike their adult counterpart, very little is known about their genomic landscape. We characterized a cohort of patients from a single institution by whole exome sequencing, as well as a subset of patients by whole genome sequencing, RNA-sequencing and targeted deep sequencing. We found a spectrum of mutations, both somatic and germline, that are distinct from those observed in adult MDS. In turn, we observed mutations commonly observed in other pediatric myeloid tumors.

  Study EGAS00001002202

• Alternative splicing isoforms in patient-derived hepatocellular carcinoma cells

  The aim of this study was to obtain a landscape of alternative splicing (AS) in human hepatocellular carcinoma (HCC). We applied hybrid sequencing by integrating Pacbio long-read and Illumina short-read RNA sequencing data from 8 patient-derived HCC cell lines, and used an immortalized hepatocyte cell line as reference. This study revealed features of annotated and novel splice variants in HCC cells, including transcript length, AS type and protein changes. We also identified novel isoforms and tumor specific isoforms, which may represent potential biomarkers and targets for therapeutic development.

  Study EGAS00001002697

• ImmunoAgeing_Longitudinal

  The objective is to establish whether immunosenescence is associated with the development of clonal haematopoiesis in a healthy ageing population. This will be addressed in collaboration with the European consortium running the ImmunoAgeing project (www.immunoageing.eu). Genomic DNA derived from the peripheral blood of 394 individuals at 3-5 time-points over a 20-year period will be analysed. RNA bait pulldown (Agilent) will be used to perform targeted sequencing of genes known to be recurrently mutated in myeloid malignancies The presence, size and nature of clonal haematopoiesis will be correlated with quantitative measures of immunosenescence.

  Study EGAS00001003183

• Gene expression profiling of nasopharyngeal carcinoma

  We retrospectively collected 150 non-metastatic, pretreatment, formalin-fixed, paraffin-embedded (FFPE) nasopharyngeal carcinoma (NPC) samples as validation cohort 1. Also, we prospectively collected 32 FFPE samples from NPC patients enrolled in a trial evaluating anti-PD-1 antibody as validation cohort 2. Total RNA was extracted and hybridised to an Affymetrix HTA 2.0 microarray. In this study, we investigated the immune status of the tumour microenvironment (TME) based on gene expression profiles to classify NPC into biologically distinct immune subtypes, and clarify their associations with prognosis and immunotherapy response.

  Study EGAS00001004542

• Diagnosis of multisystem inflammatory syndrome in children by a whole-blood transcriptional signature

  To identify a diagnostic blood transcriptomic signature that distinguishes multisystem inflammatory syndrome in children (MIS-C) from Kawasaki Disease (KD), bacterial infections and viral infections. Children presenting with MIS-C to participating hospitals in the United Kingdom and the European Union between April 2020-April 2021 were prospectively recruited. Whole blood RNA Sequencing was performed, contrasting the transcriptomes of children with MIS-C to those from children with KD, definite bacterial and viral infections. Data deposited here comprises samples from patients recruited into the DIAMONDS study.

  Study EGAS00001007409

• Ni_Vanuatu_Omni2.5

  Blood DNA samples from 1,433 contemporary ni-Vanuatu were genotyped on the Illumina Infinium Omni 2.5-8 array. Genotype calling was performed using the Illumina GenomeStudio software.

  Dataset EGAD00010002344

• GCAT| WGS Structural Variants Catalog V1

  This resource contains the SV annotations using the AnnotSV tool. The description of annotations can be found in AnnotSV web page https://lbgi.fr/AnnotSV/ or GCAT-BSC web page: http://cg.bsc.es/GCAT_BSC_iberianpanel

  Dataset EGAD00010002152

• African Demographic History Study Using Illumina 1M Array Data

  These data were used as part of a study to characterize genomic diversity in Africa, population substructure, and evolutionary history.

  Study phs001780

• Whole Genome - Uveal Melanoma

  Whole genome sequencing on 1 uveal melanoma and corresponding germline sample. Libraries were prepared using the Kapa HyperPrep kit (Roche, 07962363001). Paired-end libraries (2 x 150 bp) were sequenced on a NovaSeq 6000 instrument (Illumina).

  Dataset EGAD50000000764

• Center for Technology Licensing at Cornell University for data associated with Nature Medicine 2024 paper

  For data access to plasma/tumor/normal samples from the manuscript "Ultrasensitive plasma-based monitoring of tumor burden using machine learning-guided signal enrichment" from Widman et al. Nature Medicine 2024

  Dac EGAC50000000207

• Exome - Uveal Melanomas MPI

  Whole exome sequencing on 4 uveal melanoma samples and corresponding germline samples. Libraries were prepared using the Nextera Rapid Capture Expanded Exome kit. Paired-end libraries (2 x 75 bp) were sequenced on HiSeq 4000 instrument (Illumina).

  Dataset EGAD50000001137

• WGS of PDO in depleted media

  Whole genome sequencing profiling of 7 PDAC patient-derived organoids (PDO) grown in a culture medium lacking both WNT3A and RSPO1- WGS unmapped reads, sequenced using NovaSeq 6000, 15x coverage 160 million reads per sample.

  Dataset EGAD50000000282

• H3Africa ACEGID Omni Array Phenotype

  Phenotype data for Lassa Fever cases and population controls from Nigeria and Sierra Leone associated with genotype data generated using Illumina Omni 2.5M and 5M.

  Dataset EGAD00001010922