| 1. |
- Campbell, PJ, et al.
(författare)
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Pan-cancer analysis of whole genomes
- 2020
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Ingår i: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 578:7793, s. 82-
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Tidskriftsartikel (refereegranskat)abstract
- Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1–3. 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 promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10–18.
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| 2. |
- Tang, Y., et al.
(författare)
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The social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanism
- 2019
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Ingår i: Applied Energy. - : Elsevier Ltd. - 0306-2619 .- 1872-9118. ; 251
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Tidskriftsartikel (refereegranskat)abstract
- With the increasing popularity of Electric Vehicles (EVs), a large number of EV batteries are intensively reaching their end-of-life, which has posed substantial challenges in ecological protection and sustainable development. However, the traditional subsidy mechanism is not effective in the current recycling market. Moreover, it is not conducive for guiding the EV industry to reduce dependence on the governmental financial support. As the reward-penalty mechanism has been successfully applied in similar fields, such as the recycling of waste portable batteries, it is expected to become a feasible alternative policy to promote the recycling of retired EV batteries. Therefore, this study aims to investigate the social-economic-environmental impacts of recycling retired EV batteries under reward-penalty mechanisms by developing a Stackelberg game theoretical model. Three scenarios are proposed and compared: S1 no policy intervention, S2 subsidy mechanism, and S3 reward-penalty mechanism. The obtained results show that:(i) Compared with the subsidy mechanism, the reward-penalty mechanism presents greater effects on recycling rate and the social welfare; (2) Under the subsidy mechanism, consumer surplus and the profit of EV manufacturer are two main driving factors of the social welfare. Under the reward-penalty mechanism, the reduced environmental burden tends to be another key contribution; (3) A relatively low minimum recycling rate favors the environmental benefit, consumer surplus and profit of EV manufacturer, while a relatively high minimum recycling rate is beneficial to reduce both the policy implementation cost and environmental burden caused by untreated EV batteries.
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