6 research outputs found

    Pan-cancer analysis of whole genomes

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    Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale(1-3). Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4-5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter(4); identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation(5,6); analyses timings and patterns of tumour evolution(7); describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity(8,9); and evaluates a range of more-specialized features of cancer genomes(8,10-18).Peer reviewe

    Current insights into the molecular systems pharmacology of lncRNA-miRNA regulatory interactions and implications in cancer translational medicine

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    Cigarette smoke extract is a Nox agonist and regulates ENaC in alveolar type 2 cells

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    There is considerable evidence that cigarette smoking is the primary etiology of chronic obstructive pulmonary disease (COPD), and that oxidative stress occurs in COPD with the family of tissue nicotinamide adenine dinucleotide phosphate (NADPH) oxidase (Nox) enzymes playing a significant role in lung pathogenesis. The purpose of this study was to determine the effects of cigarette smoke extract (CSE) on Nox signaling to epithelial sodium channels (ENaCs). Pre-treatment with diphenyleneiodonium (DPI), a pan-Nox inhibitor, prevented stimulatory effects of CSE on ENaC activity; open probability (Po) changed from 0.36 ± 0.09 to 0.11 ± 0.02; n = 10, p = 0.01 following CSE and DPI exposure. Likewise, Fulvene-5 (which inhibits Nox2 and Nox4 isoforms) decreased the number of ENaC per patch (from 2.75 ± 0.25 to 1 ± 0.5, n = 9, p = 0.002) and open probability (0.18 ± 0.08 to 0.02 ± 0.08, p = 0.04). Cycloheximide chase assays show that CSE exposure prevented α-ENaC subunit degradation, whereas concurrent CSE exposure in the presence of Nox inhibitor, Fulvene 5, resulted in normal proteolytic degradation of α-ENaC protein in primary isolated lung cells. In vivo, co-instillation of CSE and Nox inhibitor promoted alveolar flooding in C57Bl6 mice compared to accelerated rates of fluid clearance observed in CSE alone instilled lungs. Real-time PCR indicates that mRNA levels of Nox2 were unaffected by CSE treatment while Nox4 transcript levels significantly increased 3.5 fold in response to CSE. Data indicate that CSE is an agonist of Nox4 enzymatic activity, and that CSE-mediated Nox4 plays an important role in altering lung ENaC activity

    Nanoporous metals processed by dealloying and their applications

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    Smart systems related to polypeptide sequences

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    Developments in the evaluation of elastic properties of carbon nanotubes and their heterojunctions by numerical simulation

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