130 research outputs found

    Universal DNA methylation age across mammalian tissues

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    Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals

    Regional State Aid Control in Europe: A Legal and Economic Assessment

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    This paper provides a legal and economic analysis of the European rules for regional State aid according to Article 107 (1) and (3) TFEU. It summarizes the historical evolution and the trends of regional aid rules and describes the economic rationale behind them. The main principles are discussed with reference to recent academic research, leading cases and the State Aid Modernization initiative ("SAM"). The current rules for the assessment of compatibility as laid down in the General Block Exemption and the Regional Aid Guidelines 2014 are critically reviewed in light of these principles

    Universal DNA methylation age across mammalian tissues

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    Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.Publisher PDFPeer reviewe

    Real Wage Responsiveness to Unemployment in Spain: Asymmetries Along the Business Cycle

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    We estimate real wage cyclicality in the period compressed between 1987 and 2013 using a large administrative dataset of workers in Spain. Real wages are weakly procyclical in Spain and focusing on differences in different phases of the business cycle, we find that differences across expansions and recessions are significant, with an even lower real wage cyclicality in recessions. Furthermore, higher levels of unemployment do not translate into additional real wages adjustments when the economy is contracting, while lower levels of unemployment during expansions have incremental effects on wage elasticity. This general result holds after accounting for differences in tenure, type of contract and age categories. Nevertheless, wages of newly-hired workers are the most sensitive to the business cycle and exhibit the lowest asymmetric pattern between expansions and recessions. At the other end, wages of workers with more than six years of tenure can be characterized as the most protected against economic downturns. The same is true for fixed-term vs. permanent workers, as well as for young vs. older workers

    Are Restrictions of Competition by Sports Associations Horizontal or Vertical in Nature?

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    In this paper, we discuss from an economic perspective two alternative views of restrictions of competition by sports associations. The horizontal approach views such restrictions as an agreement among the participants of a sports league with the sports association merely representing an organization executing the horizontal cooperation. In contrast, the vertical approach views the sports association as being a dominant upstream firm enjoying a monopoly position on the market stage for competition organizing services, an important input for the actual product - the sports game. Taking the recent financial fair play (FFP) initiative by UEFA (the Union of European Football Associations) as an example, we demonstrate that the different views lead to different assessments of restrictive effects and, thus, matter for competition policy decisions. The economic story of the potential restrictive effect of FFP on players' and player agents' income may fit more plausibly to the horizontal approach, whereas the potentially anticompetitive foreclosure and deterrence effects of FFP may be economically more soundly reasoned by taking the vertical view

    Universal DNA methylation age across mammalian tissues

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    DATA AVAILABILITY STATEMENT : The individual-level data from the Mammalian Methylation Consortium can be accessed from several online locations. All data from the Mammalian Methylation Consortium are posted on Gene Expression Omnibus (complete dataset, GSE223748). Subsets of the datasets can also be downloaded from accession numbers GSE174758, GSE184211, GSE184213, GSE184215, GSE184216, GSE184218, GSE184220, GSE184221, GSE184224, GSE190660, GSE190661, GSE190662, GSE190663, GSE190664, GSE174544, GSE190665, GSE174767, GSE184222, GSE184223, GSE174777, GSE174778, GSE173330, GSE164127, GSE147002, GSE147003, GSE147004, GSE223943 and GSE223944. Additional details can be found in Supplementary Note 2. The mammalian data can also be downloaded from the Clock Foundation webpage: https://clockfoundation.org/MammalianMethylationConsortium. The mammalian methylation array is available through the non-profit Epigenetic Clock Development Foundation (https://clockfoundation.org/). The manifest file of the mammalian array and genome annotations of CpG sites can be found on Zenodo (10.5281/zenodo.7574747). All other data supporting the findings of this study are available from the corresponding author upon reasonable request. The chip manifest files, genome annotations of CpG sites and the software code for universal pan-mammalian clocks can be found on GitHub95 at https://github.com/shorvath/MammalianMethylationConsortium/tree/v2.0.0. The individual R code for the universal pan-mammalian clocks, EWAS analysis and functional enrichment studies can be also found in the Supplementary Code.SUPPLEMENTARY MATERIAL 1 : Supplementary Tables 1–3 and Notes 1–6.SUPPLEMENTARY MATERIAL 2 : Reporting SummarySUPPLEMENTARY MATERIAL 3 : Supplementary Data 1–14.SUPPLEMENTARY MATERIAL 4 : Supplementary Code.Aging, often considered a result of random cellular damage, can be accurately estimated using DNA methylation profiles, the foundation of pan-tissue epigenetic clocks. Here, we demonstrate the development of universal pan-mammalian clocks, using 11,754 methylation arrays from our Mammalian Methylation Consortium, which encompass 59 tissue types across 185 mammalian species. These predictive models estimate mammalian tissue age with high accuracy (r > 0.96). Age deviations correlate with human mortality risk, mouse somatotropic axis mutations and caloric restriction. We identified specific cytosines with methylation levels that change with age across numerous species. These sites, highly enriched in polycomb repressive complex 2-binding locations, are near genes implicated in mammalian development, cancer, obesity and longevity. Our findings offer new evidence suggesting that aging is evolutionarily conserved and intertwined with developmental processes across all mammals.https://www.nature.com/nataginghj2024Zoology and EntomologySDG-15:Life on lan

    Développement de gènes biomarqueurs pour l'évaluation de l’impact des perturbateurs endocrines dans l’espèce non-modèle Gammarus fossarum

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    National audienceRecently, the urgence in developing relevant tools for the identification and hazard assessment of endocrine disruptors in invertebrate species has been highlighted by the scientific community. However, despite the obvious importance of invertebrates and especially crustaceans in aquatic systems, effects and/or hazard assessment of these compounds remains difficult to establish, and no specific endocrine disruption (ED) biomarkers are available in crustacean species currently used in aquatic ecotoxicology. This can be attributed to the poor knowledge of their endocrine systems, but also to the lack of genomic data for non-model species. Our research teams have conducted recently a “proteogenomic” approach to generate a large transcriptomic and proteomic dataset of the amphipod crustacean Gammarus fossarum, a sentinel species widely used in aquatic ecotoxicology in Europe. Based on this omic ressources and literature research, the aim of this study was to develop and propose specific ED biomarker genes in G. fossarum. We first established an initial candidate list of genes reputed in the literature as essential players of hormonal regulation in crustaceans and insects (hormone receptors, enzymes of the hormone metabolism, regulator genes, hormone-regulated genes). Homologous sequences of crustacean or insect published sequences of these candidates were identified in our transcriptomic G. fossarum database, and a validation step of putative gene annotation was made by sequence similarity research and phylogenetic analyses. With this approach, we identified and validated three potential candidates: the nuclear receptors RxR and E75, and the regulator broad-complex. We then followed a cloning and sequencing protocol to obtain reliable nucleotidic sequence and primers for the posterior expression studies. Their interest as biomarkers was then assessed by studying gene expressions during the male and female reproductive cycles, and after laboratory exposure to model chemical compounds. Perspectives are to develop a methodology for biomarker measurement (sex, size, organ, moulting stage of monitored individuals, duration of exposure) and absolute quantitation methods of proteotypic peptides (immunoassay, and/or mass spectrometry) based on the acquired knowledge of the proteic sequence of these markers in our non-model species
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