11,214 research outputs found

    Metal binding to the surface lipoprotein AdcAI from Streptococcus pyogenes and to the salivary antimicrobial peptide Histatin-5

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    The family of human salivary His-rich antimicrobial peptide, histatins, as exemplified by Histatin-5 (Hst5), bind zinc (Zn) and copper (Cu), but the role of metal binding in histatins have not been fully elucidated. Whether Hst5 is involved in nutritional immunity by limiting Zn availability to cause bacterial Zn starvation or by increasing Cu availability to cause Cu toxicity was examined in this study. Streptococcus pyogenes or Group A Streptococcus (GAS) was used as a model organism as it represents the oral streptococci that make up approximately 60 % of the oral microbiome. The metal binding affinity of Hst5 was measured by equilibrium competition assays using colourimetric probes and was compared against the high-affinity Zn uptake protein AdcAI from GAS. These experiments confirmed that Hst5 binds Zn weakly, and it does not strongly influence Zn availability. In addition, Hst5 cannot compete for Zn binding with AdcAI, which has an affinity that is 8 orders of magnitude higher than that of Hst5. In contrast, Hst5 has a high affinity for Cu and therefore influences the Cu availability. However, it does not promote Cu toxicity in GAS by delivering excessive Cu into the cytoplasm. It rather protects from the accumulation of intracellular Cu in ΔcopA mutant strain that is hypersensitive to increased Cu availability due to the loss of ability to export intracellular Cu. Whether Cu induces Cu starvation in Cu-requiring microbes remains unsolved, but this study has opened the possibility of Hst5 providing a buffering effect from metal toxicity to maintain a healthy oral microbiome

    Rheological method for alpha test evaluation of developing superplasticizers' performance: Channel flow test

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    Advance in high-range water-reducing admixture revolutionizes the workability and constructability of conventional vibrated concrete as well as self-consolidating concrete. Its need from construction fields has increased, and consequently a variety of new-type polycarboxylates, base polymers for the admixture, are being formulated in these days. Synthesizing new polymers needs a quick, but reliable, test to evaluate its performance on concrete. The test is also asked for selecting the best applicable brand of them before a test concrete will be mixed. This paper proposes a channel flow test and its usage for the purpose. The proposed procedure for the test includes the mix proportion of a test mortar, the test method, and rheological interpretation of the test results.ope

    Production of Transgenic Cloned Miniature Pigs with Membrane-bound Human Fas Ligand (FasL) by Somatic Cell Nuclear Transfer

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    Cell-mediated xenograft rejection, including NK cells and CD8+ CTL, is a major obstacle in successful pig-to-human xenotransplantation. Human CD8+ CTL and NK cells display high cytotoxicity for pig cells, mediated at least in part by the Fas/FasL pathway. To prevent cell-mediated xenocytotoxicity, a membrane-bound form of human FasL (mFasL) was generated as an inhibitor for CTL and NK cell cytotoxicity that could not be cleaved by metalloproteinase to produce putative soluble FasL. We produced two healthy transgenic pigs harboring the mFasL gene via somatic cell nuclear transfer (SCNT). In a cytotoxicity assay using transgenic clonal cell lines and transgenic pig ear cells, the rate of CD8+ CTL-mediated cytotoxicity was significantly reduced in transgenic pig's ear cells compared with that in normal minipig fetal fibroblasts. Our data indicate that grafts of transgenic pigs expressing membrane-bound human FasL control the cellular immune response to xenografts, creating a window of opportunity to facilitate xenograft survival

    Multi-dimensional range queries in sensor networks

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    In many sensor networks, data or events are named by attributes. Many of these attributes have scalar values, so one natural way to query events of interest is to use a multi-dimensional range query. An example is: "List all events whose temperature lies between 50° and 60°, and whose light levels lie between 10 and 15." Such queries are useful for correlating events occurring within the network.In this paper, we describe the design of a distributed index that scalably supports multi-dimensional range queries. Our distributed index for multi-dimensional data (or DIM) uses a novel geographic embedding of a classical index data structure, and is built upon the GPSR geographic routing algorithm. Our analysis reveals that, under reasonable assumptions about query distributions, DIMs scale quite well with network size (both insertion and query costs scale as O(√N)). In detailed simulations, we show that in practice, the insertion and query costs of other alternatives are sometimes an order of magnitude more than the costs of DIMs, even for moderately sized network. Finally, experiments on a small scale testbed validate the feasibility of DIMs
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