Digital Zooarchaeology: State of the art, challenges, prospects and synergies

This is the final version. Available on open access from Elsevier via the DOI in this recordDigital technologies are an increasingly pervasive medium for zooarchaeological scholarship, providing a means to document and preserve fragile zooarchaeological specimens, share primary data, address methodological questions, and spread the information to the wider public. During the last decade, a broad array of digital technologies has been widely applied for the creation of three-dimensional images of animal bones, with a number of freely accessible collections being developed and published online. To be beneficial for academic and non-academic audiences, the creation of these collections requires careful planning, and more attention is needed in order to ensure their longevity in the web as well as their future usability. Drawing on an online workshop, organised by the Science and Technology in Archaeology and Culture Research Center of The Cyprus Institute, titled “Zooarchaeology in the Digital Era”, this article aims to provide a snapshot of the current state of art, and the methods and digital tools being employed in the digitisation of animal remains. The article also raises some of the challenges that the international zooarchaeological community is facing in the era of Linked Open Data, including management, archiving, curation, storage, dissemination and communication of digital data to the scientific world and the wider public. In addition, the paper highlights the need for a stronger collaboration between archaeologists and researchers from the Digital Humanities’ sector in order to stimulate an innovative discourse and create fertile ground for the production of new scientific knowledge.European Union Horizon 202

The Depletion of Nuclear Glutathione Impairs Cell Proliferation in 3t3 Fibroblasts

BACKGROUND:Glutathione is considered essential for survival in mammalian cells and yeast but not in prokaryotic cells. The presence of a nuclear pool of glutathione has been demonstrated but its role in cellular proliferation and differentiation is still a matter of debate. PRINCIPAL FINDINGS:We have studied proliferation of 3T3 fibroblasts for a period of 5 days. Cells were treated with two well known depleting agents, diethyl maleate (DEM) and buthionine sulfoximine (BSO), and the cellular and nuclear glutathione levels were assessed by analytical and confocal microscopic techniques, respectively. Both agents decreased total cellular glutathione although depletion by BSO was more sustained. However, the nuclear glutathione pool resisted depletion by BSO but not with DEM. Interestingly, cell proliferation was impaired by DEM, but not by BSO. Treating the cells simultaneously with DEM and with glutathione ethyl ester to restore intracellular GSH levels completely prevented the effects of DEM on cell proliferation. CONCLUSIONS:Our results demonstrate the importance of nuclear glutathione in the control of cell proliferation in 3T3 fibroblasts and suggest that a reduced nuclear environment is necessary for cells to progress in the cell cycle

Variance in parametric images:direct estimation from parametric projections

Recent work has shown that it is possible to apply linear kinetic models to dynamic projection data in PET in order to calculate parameter projections. These can subsequently be back-projected to form parametric images-maps of parameters of physiological interest. Critical to the application of these maps, to lest for significant changes between normal and pathophysiology, is an assessment of the statistical uncertainty. In this context, parametric images also include simple integral images from, e.g., [O-15]-water used to calculate statistical parametric maps (SPMs). This paper revisits the concept of parameter projections and presents a more general formulation of the parameter projection derivation as well as a method to estimate parameter variance in projection space, showing which analysis methods (models) can be used. Using simulated pharmacokinetic image data we show that a method based on an analysis in projection space inherently calculates the mathematically rigorous pixel variance. This results in an estimation which is as accurate as either estimating variance in image space during model fitting, or estimation by comparison across sets of parametric images-as might be done between individuals in a group pharmacokinetic PET study. The method based on projections has, however, a higher computational efficiency, and is also shown to be more precise, as reflected in smooth variance distribution images when compared to the other methods

Whole body [O-15]water pharmacokinetics measured in blood

A simple pharmacokinetic model to explain the time course of [0-15]water in human whole blood after bolus injection is described. The model has been derived from measurements in twelve healthy volunteers who were measured repeatedly, resulting in 67 datasets, made in the context of PET blood flow studies. In contrast to traditional volume of distribution estimates of total body water (TBW) which rely on measurements after many hours, the model and data provide insights into the fast uptake components in the distribution of water in the body. Data fitting shows that the volume of distribution of fast exchanging tissues is 211, TBW was calculated to be 371. Monte Carlo simulation showed that the expected inaccuracy of determination of parameters due to unsystematic sources in the measurement data was around 5% for most parameters. Our data show that water extraction to tissue is somewhat higher than would be predicted from the tabulated values, probably because skeletal blood flow is sensitive to physiological status and environmental conditions. The study provides valuable reference data on the distribution and kinetics of water in man. Using the parameters and model from this study, reference input time-activity curves can be calculated, e.g. for the Monte Carlo study of error propagation in PET studies