940 resultados para RP 2.0


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To mark the two year anniversary since The Marmot Review ('Fair Society, Healthy Lives') was published, on the 15th of February the UCL Institute of Health Equity published new data on key health inequalities indicators at local authority level in England.Main Findings:Life Expectancy – this has historically been one of the main indicators of health inequalities.The Marmot Indicators from this year’s charts show the average life expectancy for eachlocal authority and the level of inequality within each authority area (7):-While overall life expectancy at birth in England increased by 0.3 years for both menand women between 2007-9 and 2008-10, inequalities in life expectancy betweenneighbourhoods increased by 0.1 years for men and showed no change for women-Among the 150 upper tier local authorities in England, life expectancy improved inthe majority of cases (133 areas saw improvements for men and 125 sawimprovements for women). However inequalities also increased in the majority ofareas (104 for men and 92 for women).-The largest increase in inequality in life expectancy was in West Berkshire for men(2.0 years) and inMiddlesbrough for women (2 years). The largest decreases ininequality were in Kensington and Chelsea for both men and women (1.9 and 1.1years respectively. To find out more, please read: - The press release, including key figures and main findings. - A blog by Michael Marmot about the data and it's implications. - Press coverage of the data in national and local newspapers and websites. - A powerpoint presentation on the key findings.

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The recently released Affymetrix Human Gene 1.0 ST array has two major differences compared with standard 3' based arrays: (i) it interrogates the entire mRNA transcript, and (ii) it uses DNA targets. To assess the impact of these differences on array performance, we performed a series of comparative hybridizations between the Human Gene 1.0 ST and the Affymetrix HG-U133 Plus 2.0 and the Illumina HumanRef-8 BeadChip arrays. Additionally, both RNA and DNA targets were hybridized on HG-U133 Plus 2.0 arrays. The results show that the overall reproducibility of the Gene 1.0 ST array is best. When looking only at the high intensity probes, the reproducibility of the Gene 1.0 ST array and the Illumina BeadChip array is equally good. Concordance of array results was assessed using different inter-platform mappings. Agreements are best between the two labeling protocols using HG-U133 Plus 2.0 array. The Gene 1.0 ST array is most concordant with the HG-U133 array hybridized with cDNA targets. This may reflect the impact of the target type. Overall, the high degree of correspondence provides strong evidence for the reliability of the Gene 1.0 ST array.

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Selenoproteins are a diverse group of proteinsusually misidentified and misannotated in sequencedatabases. The presence of an in-frame UGA (stop)codon in the coding sequence of selenoproteingenes precludes their identification and correctannotation. The in-frame UGA codons are recodedto cotranslationally incorporate selenocysteine,a rare selenium-containing amino acid. The developmentof ad hoc experimental and, more recently,computational approaches have allowed the efficientidentification and characterization of theselenoproteomes of a growing number of species.Today, dozens of selenoprotein families have beendescribed and more are being discovered in recentlysequenced species, but the correct genomic annotationis not available for the majority of thesegenes. SelenoDB is a long-term project that aims toprovide, through the collaborative effort of experimentaland computational researchers, automaticand manually curated annotations of selenoproteingenes, proteins and SECIS elements. Version 1.0 ofthe database includes an initial set of eukaryoticgenomic annotations, with special emphasis on thehuman selenoproteome, for immediate inspectionby selenium researchers or incorporation into moregeneral databases. SelenoDB is freely available athttp://www.selenodb.org.