University of Sussex APCs 2015 (Jan-June)

<p>This spreadsheet contains details of article processing charges (APCs) paid by the University of Sussex during January-June 2015. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/).</p> <p>Caveats regarding this data are that it does not include APCs which are paid for out of non-central funds within the university, and the figures likely include APCs for articles not yet published.</p

University of Sussex APCs 2014

<p>This spreadsheet contains details of article processing charges (APCs) paid by the University of Sussex during 2014. The data is being collected as part of Jisc's APC data collection project to address the Total Cost of Ownership of scholarly communication (https://www.jisc-collections.ac.uk/Jisc-Monitor/APC-data-collection/) and has been released with permission of the University of Sussex Library.</p> <p>This data is for payments actually made for APCs Jan - Dec 2014 (i.e. not necessarily for articles published between these dates).</p> <p>The data does not include payments that may have been made by researchers from their own grants, as the library does not have access to this information.</p

Toward Fast Determination of Protein Stability Maps: Experimental and Theoretical Analysis of Mutants of a <i>Nocardiopsis prasina</i> Serine Protease

The stability of serine proteases is of major importance for their application in industrial processes. Here we study the determinants of the stability of a <i>Nocardiopsis prasina</i> serine protease using fast residual activity assays, a feature classification algorithm, and structure-based energy calculation algorithms for 121 micropurified mutant enzyme clones containing multiple point mutations. Using a multivariate regression analysis, we deconvolute the data for the mutant clones and find that mutations of residues Asn47 and Pro124 are deleterious to the stability of the enzyme. Both of these residues are situated in loops that are known to be important for the stability of the highly homologous α-lytic protease. Structure-based energy calculations with PEATSA give a good general agreement with the trend of experimentally measured values but also identify a number of clones that the algorithm fails to predict correctly. We discuss the significance of the results in relation to the structure and function of closely related proteases, comment on the optimal experimental design when performing high-throughput experiments for characterizing the determinants of protein stability, and discuss the performance of structure-based energy calculations with complex data sets such as the one presented here

Detection of chromosomal aneuploidy in ancient genomes.

Ancient DNA is a valuable tool for investigating genetic and evolutionary history that can also provide detailed profiles of the lives of ancient individuals. In this study, we develop a generalised computational approach to detect aneuploidies (atypical autosomal and sex chromosome karyotypes) in the ancient genetic record and distinguish such karyotypes from contamination. We confirm that aneuploidies can be detected even in low-coverage genomes ( ~ 0.0001-fold), common in ancient DNA. We apply this method to ancient skeletal remains from Britain to document the first instance of mosaic Turner syndrome (45,X0/46,XX) in the ancient genetic record in an Iron Age individual sequenced to average 9-fold coverage, the earliest known incidence of an individual with a 47,XYY karyotype from the Early Medieval period, as well as individuals with Klinefelter (47,XXY) and Down syndrome (47,XY, + 21). Overall, our approach provides an accessible and automated framework allowing for the detection of individuals with aneuploidies, which extends previous binary approaches. This tool can facilitate the interpretation of burial context and living conditions, as well as elucidate past perceptions of biological sex and people with diverse biological traits