14982 results for "cancer studies using rna-seq"

in 18.01 milliseconds.

• NHLBI TOPMed: Genome-Wide Association Study of Adiposity in Samoans

  The individuals sequenced here represent a small subset of the parent study (described below) and were carefully selected for the purpose of creating a Samoan-specific reference panel for imputation back into the parent study. The INFOSTIP algorithm of Gusev et. al. (2012) (PMID: 22135348) was used to optimally choose the individuals for sequencing. The research goal of the parent study (dbGaP ID phs000914) is to identify genetic variation that increases susceptibility to obesity and cardiometabolic phenotypes among adult Samoans using genome-wide association (GWAS) methods. DNA from peripheral blood and phenotypic information were collected from 3,119 adult Samoans, 23 to 70 years of age. The participants reside throughout the independent nation of Samoa, which is experiencing economic development and the nutrition transition. Genotyping was performed with the Affymetrix Genome-Wide Human SNP 6.0 Array using a panel of approximately 900,000 SNPs. Anthropometric, fasting blood biomarkers and detailed dietary, physical activity, health and socio-demographic variables were collected. We are replicating the GWAS findings in an independent sample of 2,500 Samoans from earlier studies. After replication of genomic regions and informative SNPs in those regions, we will determine sequences of the important genes, and determine the specific genetic variants in the sequenced genes that are associated with adiposity and related cardiometabolic conditions. We will also identify gene by environment interactions, focusing on dietary intake patterns and nutrients.

  Study phs000972

• Ultrasensitive detection of minor allele fractions in maternal samples based on microhaplotype analysis

  Background: Tools for quantifying and studying genetic variation in heterogeneous cell populations have a limited sensitivity. However, many biological problems require ultrasensitive genetic deconvolution of cell mixtures. The detection of fetal cells in cervical samples from pregnant women presents such a challenge. Methods: Using deep sequencing of microhaplotype loci and analysis of the error profiles in genetically pure and mixed samples, we increase the sensitivity for minor allele detection and demonstrate the potential for paternal allele detection in cervical samples from pregnant women. Results: Using artificial DNA mixtures, we show that unique alleles can be readily identified in mixtures with a ratio of 1 in 10,000 (0.01%). By applying this method on ten non-invasive cervical samples from pregnant women we could identify the presence of paternal alleles in half of the samples. Unexpectedly, we demonstrate those alleles not to be of fetal origin but of sperm. Conclusions: We developed a novel method that can deconvolute genetic mixtures to at least 0.01%, which can be applied to study minor allele fractions in genetic mixtures and, for example, could aid in trophoblast cell detection in maternal blood or cervix. Our results demonstrate the importance of discriminating fetal and paternal alleles when analyzing cervical fetal cells and may pinpoint a potential cause of erroneous results in previous trophoblast isolation studies.

  Study EGAS00001007057

• Dynamics of sequence and structural cell-free DNA landscapes in small-cell lung cancer

  The dataset for the study “Dynamics of sequence and structural cell-free DNA landscapes in small-cell lung cancer” includes 171 bam files from targeted next-generation sequencing (TEC-Seq) from plasma cell-free DNA and matched white blood cell DNA from 33 individuals with small cell lung cancer, alongside 10 bam files from whole exome sequencing of tumor and matched normal DNA for 5 individuals with small cell lung cancer.

  Dataset EGAD00001009860

• OSTEOMICS_RNA

  RNA sequencing of 79 libraries were prepared, from sample of Osteosarcoma tumors biopsied at diagnosis, with TruSeq Stranded mRNA kit following recommendations: the key steps consist of PolyA mRNA capture with oligo dT beads using 1µg total RNA, fragmentation to approximately 400pb, DNA double strand synthesis, and ligation of Illumina adaptors amplification of the library by PCR for sequencing. Libraries sequencing was performed using Illumina sequencers (NextSeq 500 or Hiseq 2000/2500/4000) in 75 bp paired-end mode.

  Dataset EGAD00001008213

• Single cell sequencing of endoscopic biopsies from Barrett's oesophagus and proximal tissue from the normal GI tract

  Barrett’s oesophagus is a precursor of oesophageal adenocarcinoma. In this common condition, squamous epithelium in the oesophagus is replaced by columnar epithelium in response to acid reflux. Barrett’s oesophagus is highly heterogeneous and its relationships to normal tissues are unclear. We investigated the cellular complexity of Barrett’s oesophagus and the upper gastrointestinal tract using RNA-sequencing of single cells from multiple biopsies from six patients with Barrett’s oesophagus and two patients without oesophageal pathology.

  Study EGAS00001003144

• Boson HCV infected liver bulk RNASeq study

  ACE2 is a receptor for the SARS-CoV-2 and differences in its expression may affect susceptibility to infection. In a genome-wide eQTL analysis using hepatitis C virus-infected liver tissue, we discovered that polymorphism in a type III interferon gene (IFNL4), which eliminates IFN-lambda-4 production, is associated with a two-fold increase in ACE2 RNA expression. Conversely, among genes negatively correlated with ACE2 expression, IFN-signalling pathways were highly enriched and ACE2 was downregulated after IFN-alpha treatment.

  Study EGAS00001004996

• Dissecting the Spatial Heterogeneity of Single Circulating Tumor Cells in Hepatocellular Carcinoma

  The dismal outcome of hepatocellular carcinoma (HCC) is closely associated with intra- and extrahepatic metastases, which have been proposed to be initiated by circulating tumor cells (CTCs). However, the plasticity of gene expression and immune evasion mechanisms of CTCs during systemic circulation are not well defined. Here, we determined intra- and inter-vascular transcriptional heterogeneity within the circulatory system using single-cell RNA-sequencing of 113 CTCs isolated from four key vascular sites along their dissemination route in ten HCC patients.

  Study EGAS00001005204

• Single-cell RNA sequencing of 16 NPM1 mutated AML patients

  NPM1 mutated AML is the largest class in WHO classification, however several subtypes within NPM1 were already reported. Here, we sequence 16 NPM1 mutated AML samples with single-cell RNA-sequencing and multi-color flow cytometry from three major NPM1 subtypes we previously identified, totaling more than half a million cells. We show that the differences among three NPM1 subtypes are mainly driven by cell composition, and these differences are also reflected at cell surface protein level. With the re-analysis of CITE-seq data from another cohort and single cell variant calling on our data, we also report two distinct stem cell phenotypes: one with leukemic (CD34dimCD38-CD45RA+) and another with pre-leukemic (CD34+CD38-CD45RA-) origin. We believe that our data and findings provide novel insights regarding the etiology of NPM1 mutated AML.

  Study EGAS50000000332

• Addictions: Genotypes, Polymorphisms, and Function/Human Genetic Correlates of Addictive Diseases

  Drug addiction continues to be a major medical and social problem. It is estimated that one million or more persons in the United States are currently addicted to heroin or prescription opioids, with millions more worldwide. Cocaine addiction and alcohol dependence are frequent comorbid conditions in persons with heroin/opioid dependence in addition to being major primary addictions. Many studies over the past thirty years have shown that these drugs disrupt physiologic systems, and that these disruptions may contribute to drug addiction and alcohol dependence and to relapse to drug or alcohol abuse following withdrawal and abstinence. Clinical observations suggest that individuals differ in their response to heroin, cocaine, and alcohol; however, little is known about specific underlying hereditary genetic factors which might influence individual susceptibility to the addictive properties of these substances. Studies also suggest that both common and distinct heritable factors account for the genetic variance in the susceptibility to the separate addictive diseases. We hypothesize that there is a heritable as well as environmental basis for the acquisition and persistence of, and relapse to, specific addictive diseases. Using samples from individuals without and with opioid and other specific drug dependence diagnoses and psychiatric comorbidities, genetic analyses will be used to determine association and linkage. All study subjects will be extensively characterized with respect to the addictive diseases, medical history, family medical addictive disease history; psychiatric comorbidity, and psychological profile, as well as ethnic/cultural background. A better understanding of the consequences of genetic contributions with respect to protection from, or susceptibility to, heroin/opioid addiction and related codependencies and comorbid conditions, could have enormous importance in both prevention and treatment of this problem.

  Study phs001109

• WES data from primary CRCs tissues in ctDNA positive patients

  Whole exome data from primary colorectal cancer tissue samples were analysed in patients where mutations where found in circulating tumour DNA. DNA was extracted from FFPE blocks and exome libraries were prepared using the KAPA HyperPlus Kit (Roche diagnostics)

  Study EGAS50000000650

• Total RNA sequencing data from the Triple Negative Trial (TNT)

  BAM files from total RNA sequencing of samples from breast cancer patients in the TNT trial. Data includes 186 primary tumour samples and 13 matched recurrence samples.

  Dataset EGAD00001011141

• Sequencing_of_patient_samples_who_received_immune_checkpoint_inhibition___WES___NKI

  DNA and RNA isolated from FFPE blocks of patients who received immune checkpoint inhibition (ICI) are sequenced with the aim to identify therapeutically tractable vulnerabilities in tumors to prevent ICI resistance.

  Study EGAS00001003154

• Genomic and Transcriptomic Data in GBM Patients Undergoing anti-PDL1 Therapy

  This dataset comprises whole exome sequencing data from 29 tumor-normal pairs and RNA-seq data from 39 tumors of newly diagnosed IDH-wt GBM patients. It includes analyses such as variant calls, copy number variations, the transcriptomic expression matrix, and patient metadata and outcomes.

  Dataset EGAD50000001154

• Phenotype, genotype, and transcriptome data from three South Eastern Bantu groups in the SABR study

  Phenotypic data, whole genome sequencing, blood RNA-seq, imputed variant calls, cell type estimates, gene expression levels, splicing measurements, and analysis covariates from South African Blood Regulatory (SABR) resource participants, which includes South Eastern Bantu-speaking groups.

  Dataset EGAD50000001477

• Standard epigenome mapping in human epithelial cells of the digestive and urogenital organs [RNA-Seq ]

  The aim of this study is to participate in International Human Epigenome Consortium (http://ihec-epigenomes.org/), through disclosure of quality reference epigenome profiles in normal and diseased cells obtained from multiple Japanese people.

  Study JGAS000080

• Standard epigenome mapping in human epithelial cells of the digestive and urogenital organs [RNA-Seq ]

  The aim of this study is to participate in International Human Epigenome Consortium (http://ihec-epigenomes.org/), through disclosure of quality reference epigenome profiles in normal and diseased cells obtained from multiple Japanese people.

  Study JGAS000081

• Extraembryonic tissue and cytotrophoblast epigenome mapping

  Maps of H3K27ac from normal 2nd- and 3rd-trimester cytotrophoblasts, preterm severe preeclampsia cytotrophoblasts, and 2nd-trimester amnion. Maps of H3K27me3, H3K27me3, H3K36me3, and H3K4me1 from 2nd- and 3rd-trimester cytotrophoblast. Maps of H3K9me3 from 2nd- and 3rd-trimester cytotrophoblast, smooth chorion, and basal plate. RNA-seq from 2nd- and 3rd-trimester cytotrophoblasts.

  Dataset EGAD00001006066

• MSC_busulfan_small_intestine_organoids

  This dataset represent the RNA-seq, which was done on untreated small intestinal organoids; small intestinal organoids treated with chemotherapeutic, busulfan; untreated small intestinal organoids co-cultured wth mesenchymak stromal/stem cells (MSCs; busulfan treated small intestinal organoids co-cultured with MSCs. The same set of samples was done for 3 different primary bone marrow MSC donors.

  Dataset EGAD00001011176

• RNA-seq transcriptome of bronchial brush samples from COPD and control

  Human subjects (COPD patients or apparently healthy controls) where investigated by bronchoscopy and a 5 mm brush was used to sample the subsegment airways of the right lung. The material obtained mainly consist of bronchial epithelial cells plus some contamination with leukocytes. For further details see Ziegler-Heitbrock et al, European Respiratory Journal, 40:823-829, 2012.

  Dataset EGAD00001002003

• RNA-seq data of Metabolic profiling of patient-derived organoids reveals nucleotide synthesis as a metabolic vulnerability in malignant rhabdoid tumors

  Patient-matched normal kidney organoid (103H) and MRT tumoroid (103T2) models were treated for 24h with either DMSO (ctrl), 400nM MTX, or 50nM BAY to investigate the direct effects of drug treatment on the expression of key metabolic enzymes in the nucleotide biosynthesis pathways.

  Dataset EGAD00001015391

• Nivolumab and Ipilimumab and Radiation Therapy in Microsatellite Stable (MSS) and Microsatellite Instable (MSI) High Colorectal and Pancreatic Cancer

  This is a single-arm, non-randomized, phase 2 trial (NCT03104439) combining radiation, ipilimumab and nivolumab in patients with metastatic MSS Colorectal Cancer (CRC; n=40) and Pancreatic Ductal Adenocarcinoma Cancer (PDAC; n=25). Patients were previously treated population, and the primary endpoint was disease control rate. Pre- and post-treatment samples were subjected to RNA sequencing and whole exome sequencing. The primary data is shared via GEO and dbGaP at National Center for Biotechnology Information (NCBI), National Institutes of Health (NIH).

  Study phs002545

• PREDICT___Whole_Genomes

  PREDICT/Predicting individual response and resistance to VEGFR/mTOR pathway therapeutic intervention using biomarkers discovered through tumour functional genomics.

  Study EGAS00001000934

• The University of Hong Kong Gastric Cancer XClone Study WES Data

  Exome capturing was performed using xGen Exome Research Panel v1.0 based on standard protocols. Paired-end sequencing (2 x 151 bp) was performed using Illumina NovaSeq6000.

  Dataset EGAD00001015382

• RNAseq_of_ribosomal_footprints

  Cancer genes can affect ribosomal RNA processing and this can underlie their essentiality to cells, making them cell-essential in the same way as ribosomal genes themselves. We want to confirm this, in order to understand the results of our CRISPR drop-out screens.NOTE FROM BESPOKE TEAM: Run a single read 1 (forward read) of 30 bases, then an index 1 read as normal. This would fit a 50cycle kit

  Study EGAS00001001591

• Genomic Sequencing of Cervical Cancers

  Cervical cancer is responsible for 10-15% of cancer related deaths in women worldwide. The etiological role of infection with high-risk human papilloma viruses (HPV) in carcinomas of the cervix is well established. In general, the development of cervical carcinomas follows a progression from persistent HPV infection through precancerous lesions to invasive cancer. Previous studies have implicated somatic mutations in PIK3CA, PTEN, TP53, STK11 and KRAS as well as chromosome-arm level copy number alterations in the pathogenesis of cervical carcinomas. Here, we report whole exome sequencing analysis of 118 cervical carcinoma-normal paired samples from patients in Norway and Mexico, as well as transcriptome sequencing of 80 cases and whole genome sequencing of 13 tumor-normal pairs. Novel somatic mutations include recurrent E322K substitutions in the MAPK1 gene encoding the ERK2 kinase and inactivating mutations in the HLA-B gene. In addition, recurrent somatic mutations in FBXW7, EP300, and NFE2L2 are novel in the context of primary cervical carcinomas. Analysis of HPV integration sites revealed recurrent integration into the RAD51B locus as well as co-occurrence of HPV genome integration and copy number gains within several genomic loci. These findings shed new light on the pathogenesis of cervical carcinomas and suggest potential novel therapeutic targets.

  Study phs000600

• Genomic Analysis of Metastatic Brain Cancer

  This study contains targeted exome and transcriptome sequencing of metastatic brain tumors from 68 patients. Sequencing data includes i) targeted Tempus xT exome sequencing from matched tumor/normal from 68 patients, and ii) whole-transcriptome RNA sequencing from a subset of 65 patients.

  Study phs002639

• IBD dataset

  We performed multi-omics profiling of 38 Crohn's disease and Ulcerative colitis patients across several stimulations (RPMI, LPS, Salmonella, in total 80 samples). Nuclei were profiled using the 10X Multiome protocol which offers paired RNA+ATAC from the same nucleus (e.g. shared barcodes). Per library, the ATAC (I1, R1, R2, R3 reads) and RNA (I1, I2, R1, R2 reads) are provided. Pools are genetically multiplexed across donors. Genotype files are provided to allow genetic demultiplexing.

  Dataset EGAD50000000198

• Single-cell RNA and TCR sequencing of 16 PSCC and 6 non-malignant samples

  We included 16 fresh tumor samples of biopsy-proven invasive penile squamous cell carcinomas and 6 adult non-malignant inner prepuce samples. Single-cell RNA sequencing was performed (10x genomics). An HPV reference genome of 15 high-risk HPV types was generated and we mapped all single cell reads to the GRCh38 human and HPV reference genome using CellRanger. Targeted next-generation sequencing (tNGS) was performed for the detection of TP53 loss-of-function mutations.

  Dataset EGAD50000000317

• RNAseq data from 112 samples of benign or malignant ovarian tumours

  This dataset contains ~1.2 TB RNA sequencing data in fastq format from 112 samples of fresh-frozen ovarian tumours from a total of 111 women, two samples being replicates. The samples were collected from the U-CAN collection at Uppsala Biobank and include both benign (n = 18) and malignant (n = 94) tumours. The RNA sequencing samples were sequenced using paired-end sequencing (2x150 bp) on an Illumina NovaSeq 6000 instrument at the SciLifeLab National Genomics Infrastructure (NGI) in Uppsala.

  Dataset EGAD50000001521

• Single-cell multi-omics of human clonal hematopoiesis reveals that DNMT3A R882 mutations perturb early progenitor states through selective hypomethylation.

  We profiled CD34+ enriched cells from GCSF mobilized bone marrow samples (n = 4) using single-cell RNA sequencing (10X) with targeted genotyping, and single-cell DNA methylation (RRBS) with single-cell RNA sequencing (Smart-Seq2) and targeted genotyping. A 5th CH bone marrow aspirate sample was obtained to validate observed results.

  Dataset EGAD00001008985