14980 results for "cancer studies using rna-seq"

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• Genetic Predictors of Adverse Radiotherapy Effects (Gene-PARE)

  The goal of this study was to identify SNPs and CNPs that are associated with development of normal tissue toxicities resulting from radiotherapy for prostate cancer. The study population includes approximately 1,400 men treated with brachytherapy, external beam radiation therapy, or a combination of the two treatments, and assessed for adverse effects at baseline and following radiotherapy. Three toxicity endpoints were investigated using a two-stage GWAS approach: urinary morbidity, rectal bleeding and erectile dysfunction. The study sample was split into a discovery set (N=367) and a replication set (N=417), and an additional 647 samples, which were not part of this original cohort, were also included as an independent replication set. The replication set was developed via collaboration developed under the framework of the Radiogenomics Consortium (RGC). The long-term goal of this project, and other radiogenomics projects lead by the RGC, is two-fold: 1) Develop an assay capable of predicting which cancer patients are most likely to develop radiation injuries resulting from treatment with a standard RT protocol, and 2) Obtain information to assist with the elucidation of the molecular pathways responsible for radiation-induced normal tissue toxicities. These studies focus on multiple cancer types including prostate, breast, lung, and head and neck cancers.

  Study phs000772

• Genome-Wide Characterization of Pancreatic Adenocarcinoma Patients Using Next Generation Sequencing

  In this study, we whole genome sequenced tumor/normal pairs from three pancreatic adenocarcinoma patients to separately characterize each patient with respect to somatic alterations. For 2 patients for whom tumor RNA was available, we also performed RNA sequencing to evaluate gene expression changes. While additional sequencing is needed to improve our understanding of the disease, the information acquired from this study contributes to our knowledge base on pancreatic cancer and helps to establish a foundation for identifying and developing more efficacious treatments for patients.

  Study phs000550

• The Oral Mycobiome and Risk of Pancreatic Cancer

  The purpose of our study was to assess the influence of oral microbiota on the development of pancreatic cancer. Our preliminary case-control studies showed that oral carriage of a periodontal pathogen is related to increased risk for pancreatic cancer. We hypothesize that the oral bacteria and fungi are associated with risk of pancreatic cancer. We conducted a prospective study nested in two large well-established U.S. cohorts to determine whether the oral bacterial and fungal microbiome is associated with subsequent risk of pancreatic cancer.

  Study phs003994

• Genomics of Acute Myeloid Leukemia

  Sequence data from the Genomics of AML PPG program at Washington University since 2009 is made available. This repository contains data from tumors (bone marrow or peripheral blood) from Acute Myeloid Leukemia (AML) and several other related disorders - myelodysplastic syndromes (MDS), secondary AML (sAML) and therapy-related AML (tAML). It also contains matched normal data (skin or buccal swab) and healthy donors for comparison. A variety of DNA sequencing assays were used, including whole genome sequencing (WGS), exome sequencing, targeted panels of AML genes, or targeted panels for validation. Other modalities, including RNA-seq, small RNA-seq, whole genome bisulfite sequencing, CHIP-seq, ATAC-seq, and single-cell RNAseq are also represented.

  Study phs000159

• Single-cell transcriptomics of neuroblastoma tumors

  Single-cell RNA-sequencing (CITE-seq) and single-nucleus RNA-sequencing data were generated from neuroblastoma patient tumors to uncover transcriptional heterogeneity at a single-cell resolution. In addition, we used the data to validate our findings of the NBAtlas.

  Study EGAS50000000223

• RNA-Seq of human longitudinal whole blood samples from PCR-positive and PCR-negative recent household contacts of COVID-19 index cases.

  Little is known about the transcriptomic profile of individuals who are exposed to SARS-CoV-2 yet resist becoming PCR positive. To investigate this, longitudinal whole-blood samples were taken (0, 7, 14, and 28 days after enrolment) from PCR positive and PCR negative SARS-CoV-2-naïve household contacts who were recently exposed to a COVID-19 index. Samples were also taken from pre- and post-pandemic unexposed controls. Total RNA was extracted from PAXgene tubes before undergoing poly(A) selection followed by globin and rRNA depletion. DNA libraries were constructed using the NEBNext® Ultra™ II Directional RNA Library Prep Kit for Illumina. All samples were then sequenced across 2 flowcells of an Illumina HiSeq 4000.

  Study EGAS50000000473

• Combinatorial CRISPR screen identifies fitness effects of paralogues FAM50A and FAM50B

  Genetic redundancy has evolved as a way for human cells to survive the loss of genes that are single copy and essential in other organisms, but also allows tumours to survive despite having highly rearranged genomes. In this study we CRISPR screen 1,191 gene pairs, including paralogues and known and predicted synthetic lethal interactions to identify 105 gene combinations whose co-disruption results in a loss of cellular fitness. 27 pairs influence fitness across multiple cell lines including the paralogues FAM50A/FAM50B, two genes of unknown function. Silencing of FAM50B occurs across a range of tumour types and in this context disruption of FAM50A reduces cellular fitness whilst promoting micronucleus formation and extensive perturbation of transcriptional programmes. This dataset includes CRISPR screening of cancer cell lines, RNA sequencing studies of cancer cell lines and also data from the sequencing of tumour xenografts collected from mice.

  Dataset EGAD00001006649

• Dataset for upper_gastrointestinal_tumor-RNA

  Rare cancer sequencing data of 44 runs in tumor/control pairs, which were uploaded to umbrella studies. The sequencing was always paired

  Dataset EGAD00001008853

• CRC cell line RNA-seq

  RNA-Seq data for C32, CACO2, CL11, HT29, SW403, SW948 MSS CRC cell lines and HCEC-1CT normal colon cell line

  Dataset EGAD50000000297

• RNA-seq (raw fastq files)

  RNA-seq data from lumbar spinal cord blocks from 10 ALS samples and Controls. Raw fastq files are provided in this dataset.

  Dataset EGAD50000000833

• RNA-seq in LCLs derived from constitutional MLH1 epimutation carriers and non-carrier relatives

  RNA-seq in LCLs derived from constitutional MLH1 epimutation carriers and non-carrier relatives to investigate alterations in gene expression associated with MLH1 epimutation

  Dataset EGAD50000000712

• RNA-seq of chordoma samples

  This dataset contains paired-end bulk RNA-seq data of advanced chordoma samples from 7 patients. Sequencing was performed on Illumina HiSeq 4000 or NovaSeq 6000.

  Dataset EGAD50000001019

• Analysis of the lung gene expression profile in COPD

  Samples obtained from patients with COPD and from controls by bronchoscopy from the lung were subjected to RNA seq.

  Study EGAS00001001472

• WGS and RNA-Seq data from a GBM patient PT-DF5919

  WGS and RNA-Seq data from a GBM patient PT-DF5919

  Dataset EGAD00001004232

• WGS and RNA-Seq data from a GBM patient PT-AL4257

  WGS and RNA-Seq data from a GBM patient PT-AL4257

  Dataset EGAD00001004225

• RNA-seq dataset for Mutation-specific non-canonical pathway of PTEN as a distinct therapeutic target for glioblastoma

  RNA-seq dataset for Mutation-specific non-canonical pathway of PTEN as a distinct therapeutic target for glioblastoma

  Dataset EGAD00001006877