139 research outputs found

    Mobile D-loops are a preferred substrate for the Bloom's syndrome helicase

    Get PDF
    The Bloom's syndrome helicase, BLM, is a member of the highly conserved RecQ family, and possesses both DNA unwinding and DNA strand annealing activities. BLM also promotes branch migration of Holliday junctions. One role for BLM is to act in conjunction with topoisomerase IIIα to process homologous recombination (HR) intermediates containing a double Holliday junction by a process termed dissolution. However, several lines of evidence suggest that BLM may also act early in one or more of the recombination pathways to eliminate illegitimate or aberrantly paired DNA joint molecules. We have investigated whether BLM can disrupt DNA displacement loops (D-loops), which represent the initial strand invasion step of HR. We show that mobile D-loops created by the RecA recombinase are a highly preferred substrate for BLM with the invading strand being displaced from the duplex. We have identified structural features of the D-loop that determine the efficiency with which BLM promotes D-loop dissociation. We discuss these results in the context of models for the role of BLM as an ‘anti-recombinase’

    MONTE CARLO EVALUATION OF THE RADIATION SHIELDING EFFICIENCY OF LAMINATED COMPOSITES UNDER ELECTRON AND PHOTON IRRADIATION

    Get PDF
    The heterogeneity effect on the shielding efficiency of laminated composites under electron and gamma irradiation of moderate (~MeV) energies was studied. The effect was quantified, by means of Monte Carlo method, in terms of the asymmetry of the bimetallic dual layer system’s AlW shielding efficiency depending on the direction (Al–W vs. W–Al) of both electron and photon irradiation. The charged particles and bremsstrahlung radiation transport was simulated for electron irradiation of the 9-layer composite test sample fabricated by the vacuum hot rolling solid phase welding of Ti–Ni–Cu–Nb–Cu–(W–Cu)2 layers. Dose and photon kerma rates behind the laminated shielding were calculated and the prospects of its  application under severe constraints both on shielding weight and dimensions were substantiated

    STUDY UNIFORM DISTRIBUTION OF ELEMENTS IN THE OXIDE DISPERSIVE STRENGTHENED STEEL

    Get PDF
    The distribution of elements in the oxide dispersive strengthened steel at the outputted proton beam into the atmosphere is study. The experiments were performed on an analytical nuclear-physical complex "Sokol" is study. For the analysis of the samples obtained were used vacuum arc melting of steel industry 08Cr18Ni10Ti into which the hardening particles ZrO2 stabilized Y2O3, with a size of 0.1 – 0.5 microns. Mathematical processing of spectral data obtained by mass composition of basic elements and doping impurities studied oxide dispersive strengthened steel. The uniformity of the distribution of elements was studied on entire surface of the sample

    Treatment With Hydrolyzed Diet Supplemented With Prebiotics and Glycosaminoglycans Alters Lipid Metabolism in Canine Inflammatory Bowel Disease

    Get PDF
    Canine inflammatory bowel disease (IBD) is a chronic, immunologically mediated intestinal disorder, resulting from the complex interaction of genetic, environmental and immune factors. Hydrolyzed diets are used in dogs with food-responsive diarrhea (FRD) to reduce adverse responses to immunostimulatory proteins. Prebiotics (PRBs) and glycosaminoglycans (GAGs) have previously been demonstrated to show anti-inflammatory activity in the intestinal mucosa. Notably, hydrolyzed diets combined with the administration of PRBs and GAGs offer a promising approach for the treatment of canine IBD. Our aim was to investigate the effects of hydrolyzed diet and GAG+PRB co-treatment on the serum metabolomic profile of IBD dogs. Dogs with IBD randomly received either hydrolyzed diet supplemented with GAGs and PRBs (treatment 1) or hydrolyzed diet alone (treatment 2) for 10 weeks. A targeted metabolomics approach using mass spectrometry was performed to quantify changes in the serum metabolome before and after treatment and between treatment 1 and 2. Principal component analysis (PCA), partial least squares-discriminant analysis (PLS-DA), hierarchical cluster analysis (HCA) and univariate statistics were used to identify differences between the treatment groups. PCA, PLS-DA, and HCA showed a clear clustering of IBD dogs before and after hydrolyzed diet, indicating that the treatment impacted the serum metabolome. Univariate analysis revealed that most of the altered metabolites were involved in lipid metabolism. The most impacted lipid classes were components of cell membranes, including glycerophospholipids, sphingolipids, and di- and triglycerides. In addition, changes in serum metabolites after GAG+PRB co-treatment suggested a possible additional beneficial effect on the lipid metabolism in IBD dogs. In conclusion, the present study showed a significant increase in metabolites that protect gut cell membrane integrity in response to hydrolyzed diet alone or in combination with GAG+PRB co-treatment. Administration of such treatment over 70 days improved selected serum biomarkers of canine IBD, possibly indicating improved intestinal membrane integrity

    A Fine-Structure Map of Spontaneous Mitotic Crossovers in the Yeast Saccharomyces cerevisiae

    Get PDF
    Homologous recombination is an important mechanism for the repair of DNA damage in mitotically dividing cells. Mitotic crossovers between homologues with heterozygous alleles can produce two homozygous daughter cells (loss of heterozygosity), whereas crossovers between repeated genes on non-homologous chromosomes can result in translocations. Using a genetic system that allows selection of daughter cells that contain the reciprocal products of mitotic crossing over, we mapped crossovers and gene conversion events at a resolution of about 4 kb in a 120-kb region of chromosome V of Saccharomyces cerevisiae. The gene conversion tracts associated with mitotic crossovers are much longer (averaging about 12 kb) than the conversion tracts associated with meiotic recombination and are non-randomly distributed along the chromosome. In addition, about 40% of the conversion events have patterns of marker segregation that are most simply explained as reflecting the repair of a chromosome that was broken in G1 of the cell cycle

    Correction: AGAPE (Automated Genome Analysis PipelinE) for Pan-Genome Analysis of Saccharomyces cerevisiae

    Get PDF
    The characterization and public release of genome sequences from thousands of organisms is expanding the scope for genetic variation studies. However, understanding the phenotypic consequences of genetic variation remains a challenge in eukaryotes due to the complexity of the genotype-phenotype map. One approach to this is the intensive study of model systems for which diverse sources of information can be accumulated and integrated. Saccharomyces cerevisiae is an extensively studied model organism, with well-known protein functions and thoroughly curated phenotype data. To develop and expand the available resources linking genomic variation with function in yeast, we aim to model the pan-genome of S. cerevisiae. To initiate the yeast pan-genome, we newly sequenced or re-sequenced the genomes of 25 strains that are commonly used in the yeast research community using advanced sequencing technology at high quality. We also developed a pipeline for automated pan-genome analysis, which integrates the steps of assembly, annotation, and variation calling. To assign strain-specific functional annotations, we identified genes that were not present in the reference genome. We classified these according to their presence or absence across strains and characterized each group of genes with known functional and phenotypic features. The functional roles of novel genes not found in the reference genome and associated with strains or groups of strains appear to be consistent with anticipated adaptations in specific lineages. As more S. cerevisiae strain genomes are released, our analysis can be used to collate genome data and relate it to lineage-specific patterns of genome evolution. Our new tool set will enhance our understanding of genomic and functional evolution in S. cerevisiae, and will be available to the yeast genetics and molecular biology community

    Cause of Death and Predictors of All-Cause Mortality in Anticoagulated Patients With Nonvalvular Atrial Fibrillation : Data From ROCKET AF

    Get PDF
    M. Kaste on työryhmän ROCKET AF Steering Comm jäsen.Background-Atrial fibrillation is associated with higher mortality. Identification of causes of death and contemporary risk factors for all-cause mortality may guide interventions. Methods and Results-In the Rivaroxaban Once Daily Oral Direct Factor Xa Inhibition Compared with Vitamin K Antagonism for Prevention of Stroke and Embolism Trial in Atrial Fibrillation (ROCKET AF) study, patients with nonvalvular atrial fibrillation were randomized to rivaroxaban or dose-adjusted warfarin. Cox proportional hazards regression with backward elimination identified factors at randomization that were independently associated with all-cause mortality in the 14 171 participants in the intention-to-treat population. The median age was 73 years, and the mean CHADS(2) score was 3.5. Over 1.9 years of median follow-up, 1214 (8.6%) patients died. Kaplan-Meier mortality rates were 4.2% at 1 year and 8.9% at 2 years. The majority of classified deaths (1081) were cardiovascular (72%), whereas only 6% were nonhemorrhagic stroke or systemic embolism. No significant difference in all-cause mortality was observed between the rivaroxaban and warfarin arms (P=0.15). Heart failure (hazard ratio 1.51, 95% CI 1.33-1.70, P= 75 years (hazard ratio 1.69, 95% CI 1.51-1.90, P Conclusions-In a large population of patients anticoagulated for nonvalvular atrial fibrillation, approximate to 7 in 10 deaths were cardiovascular, whereasPeer reviewe

    The age of the applied economist:the transformation of economics since the 1970s

    Get PDF
    It is widely accepted that economics has changed significantly since the 1970s with the development of new data sources, new methods of analysis and the computer. This paper argues that this transformation of the discipline involves more than just a rise of empirical work: it involves a new understanding of the relationship between theoretical and applied work, which raised the prestige of the latter. The meaning of economic theory and applied work and the boundaries between them changed as theory and empirical work alike became more applied in the sense that they were brought to bear on specific social issues, often with a policy orientation. Drawing on an analysis of John Bates Clark medal winners and on papers published in a special volume of History of Political Economy, to which which this is an introduction, we then discuss reasons for this transformation. It resulted from new modeling strategies, data sets and technologies as as well as the changing influence of public and private patrons. A10, B20, B40, C0
    corecore