Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA284596 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Texas Cancer Research Biobank Open Access Data Sharing: Genome Project
| PRJNA284598 | ENA
Project description:A patient-derived epithelium-only colon rectal organoid, also referred to as a colonoid, was generated from an adenoma (associated with a resection surgery of an invasive moderately differentiated colorectal adenocarcinoma) as part of the development of an on-going organoid biobank at the Michigan Medicine Translational Tissue Modeling Laboratory (TTML, www.UmichTTML.org). The genomic variant signature of this adenoma colonoid was characterized using whole exome sequencing in order to access genomic concordance between the source patient tissue (adenoma and histologically normal tissue 10 cm from lesion) and the in vitro culture, as well as to access genomic stability of the culture over time at 2 and 6.5 months in culture.
2020-12-22 | E-MTAB-9936 | biostudies-arrayexpress
Project description:This study was to compare gene expression profiles of human AMLs that either carry or lack potentially deleterious variants in genes of the Fanconi Anemia-Homologous Recombination DNA repair network” . Variants were identified by whole exome sequencing of the relevant genes. In total, 145 AML Diagnosis Samples were arrayed with no duplicates. CD34+ cells were used as normal controls. CML and normal Mono-nuclear cells (MNC) samples were not used for analysis. Adelaide Samples were sourced from the South Australian Cancer Research Biobank, ALLG Samples were sourced from the Australian Leukaemia an Lymphoma Group
2015-07-14 | E-GEOD-67936 | biostudies-arrayexpress
Project description:<p>AACR Project Genomics Evidence Neoplasia Information Exchange (GENIE) is an international pancancer registry of real-world data assembled through data sharing between 19 leading international cancer centers with the goal of improving clinical decision-making. The registry leverages ongoing clinical sequencing efforts (CLIA/ISO-certified) at participating cancer centers by pooling their data to create a novel, open-access registry to serve as an evidence base for the entire cancer community. Genomic and baseline clinical data from more than 70,000 tumors is accessible through the efforts of our strategic and technical partners, Sage Bionetworks and cBioPortal. The consortium and its activities are driven by openness, transparency, and inclusion to ensure that the project output remains accessible to the global cancer research community and ultimately benefits patients.</p>
| phs001337 | dbGaP
Project description:These samples are being analyzed by the Duke-UNC-Texas-EBI ENCODE consortium. Expression from these cell types will compared to three whole genome open chromatin methodologies: DNaseI hypersensitivity (DNase-seq), Formaldehyde-Assisted Isolation of Regulatory elements (FAIRE-seq), and Chromatin Immunoprecipitation (ChIP-seq) . For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf
2009-04-23 | GSE15805 | GEO
Project description:This dataset includes gene expression data from 103 primary tumour samples. 86 samples from this dataset have already been deposited into GEO (GSE36924), and has been duplicated here since the data has been processed differently. This data is also available through the International Cancer Genome Consortium (ICGC) Data Portal (http://dcc/icgc.org), under the project code: Pancreatic Cancer (QCMG, AU). Access to the restricted clinical data must be made through the ICGC Data Access Compliance Office (http://www.icgc.org/daco).
2014-05-05 | GSE50827 | GEO
Project description:RNA sequencing of pig tissues for transcriptome annotation and expression analysis. Tissue specific RNA-seq data was generated to support annotation of coding and non-coding genes and to measure tissue specific expression. This study is part of the FAANG project, promoting rapid prepublication of data to support the research community. These data are released under Fort Lauderdale principles, as confirmed in the Toronto Statement (Toronto International Data Release Workshop. Birney et al. 2009. Pre-publication data sharing. Nature 461:168-170). Any use of this dataset must abide by the FAANG data sharing principles. Data producers reserve the right to make the first publication of a global analysis of this data. If you are unsure if you are allowed to publish on this dataset, please contact alan.archibald@roslin.ed.ac.uk, lel.eory@roslin.ed.ac.uk and faang@iastate.edu to enquire. The full guidelines can be found at http://www.faang.org/data-share-principle”.
2017-02-10 | E-MTAB-5895 | biostudies-arrayexpress
Project description:8 open-access trios of diverse ancestry from the 1000 Genomes project
| PRJNA477862 | ENA
Project description:Pancreatic cancer (PC) is the fourth leading cause of cancer death with an overall 5-year survival rate of < 5%, a statistic that has changed little in almost 50 years. A deeper understanding of the underlying molecular pathophysiology is expected to advance the urgent need to develop novel therapeutic and early detection strategies for this disease. Genomic characterisation of PC has previously relied on targeted PCR based exome sequencing of small cohorts of mixed primary and metastatic lesions propagated as xenografts or cell lines (Jones et al, Science 321:1801-1806), leaving the true mutational spectrum of the clinical disease largely unresolved. Here we use exome sequencing (https://www.ebi.ac.uk/ega/studies/EGAS00001000154) and copy number analysis (not submitted) to define genomic aberrations in a prospectively accrued clinical cohort (n = 142) of early (Stage I and II) pancreatic adenocarcinoma. Detailed analysis of 99 informative tumours identified 1982 non-silent mutations and 1628 significant CNV events, and defined 439 significantly mutated genes based on stringent Significant Mutated Gene or GISTIC analysis. Integration with functional data from in vitro shRNA and in vivo Sleeping Beauty-mediated somatic mutagenesis screens provided supportive evidence for 184 of these as candidate driver mutations. Pathway based analysis recapitulated clustering of mutations in core signalling pathways in PC, and identified multiple new components in each, particularly in DNA damage repair mechanisms (ATM, TOP2A, TLM, RPA1). We also identified frequent somatic aberrations in genes involved in novel mechanisms including chromatin modification (SWI/SNF complex members, SETD2, EPC1), and axon guidance (Semaphorin, Slit, Netrin and Ephrin signalling), extending the number of core perturbed pathways in PC. Aberrant expression of axon guidance genes co- segregated with poor patient survival, and in animal models was associated with disease development and progression, further implicating perturbation of the axon guidance pathway as a novel mechanism important in PC. This dataset includes gene expression data from 90 primary tumour samples, 88 of which were used in this manuscript for survival analysis. Much of this data is also available through the International Cancer Genome Consortium (ICGC) Data Portal (http://dcc/icgc.org), under the project code: "Pancreatic Cancer (QCMG, AU)". Access to the strictly restricted clinical data must be made through the ICGC Data Access Compliance Office (http://www.icgc.org/daco). This dataset contains expression array data from 90 primary pancreatic ductal adenocarcinoma samples. One sample is present with two biological replicates, all others have 1 biological replicate.
2012-03-30 | E-GEOD-36924 | biostudies-arrayexpress