94 research outputs found

    Intestinal Inflammation Responds to Microbial Tissue Load Independent of Pathogen/Non-Pathogen Discrimination

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    The intestinal immune system mounts inflammatory responses to pathogens but tolerates harmless commensal microbiota. Various mechanisms for pathogen/non-pathogen discrimination have been proposed but their general relevance for inflammation control is unclear. Here, we compared intestinal responses to pathogenic Salmonella and non-pathogenic E. coli. Both microbes entered intestinal Peyer’s patches and, surprisingly, induced qualitatively and quantitatively similar initial inflammatory responses revealing a striking discrimination failure. Diverging inflammatory responses only occurred when Salmonella subsequently proliferated and induced escalating neutrophil infiltration, while harmless E. coli was rapidly cleared from the tissue and inflammation resolved. Transient intestinal inflammation induced by harmless E. coli tolerized against subsequent exposure thereby preventing chronic inflammation during repeated exposure. These data revealed a striking failure of the intestinal immune system to discriminate pathogens from harmless microbes based on distinct molecular signatures. Instead, appropriate intestinal responses to gut microbiota might be ensured by immediate inflammatory responses to any rise in microbial tissue loads, and desensitization after bacterial clearance

    Construction, assembly and tests of the ATLAS electromagnetic barrel calorimeter

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    The construction and assembly of the two half barrels of the ATLAS central electromagnetic calorimeter and their insertion into the barrel cryostat are described. The results of the qualification tests of the calorimeter before installation in the LHC ATLAS pit are given

    Coordinated Regulation of Virulence during Systemic Infection of Salmonella enterica Serovar Typhimurium

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    To cause a systemic infection, Salmonella must respond to many environmental cues during mouse infection and express specific subsets of genes in a temporal and spatial manner, but the regulatory pathways are poorly established. To unravel how micro-environmental signals are processed and integrated into coordinated action, we constructed in-frame non-polar deletions of 83 regulators inferred to play a role in Salmonella enteriditis Typhimurium (STM) virulence and tested them in three virulence assays (intraperitoneal [i.p.], and intragastric [i.g.] infection in BALB/c mice, and persistence in 129X1/SvJ mice). Overall, 35 regulators were identified whose absence attenuated virulence in at least one assay, and of those, 14 regulators were required for systemic mouse infection, the most stringent virulence assay. As a first step towards understanding the interplay between a pathogen and its host from a systems biology standpoint, we focused on these 14 genes. Transcriptional profiles were obtained for deletions of each of these 14 regulators grown under four different environmental conditions. These results, as well as publicly available transcriptional profiles, were analyzed using both network inference and cluster analysis algorithms. The analysis predicts a regulatory network in which all 14 regulators control the same set of genes necessary for Salmonella to cause systemic infection. We tested the regulatory model by expressing a subset of the regulators in trans and monitoring transcription of 7 known virulence factors located within Salmonella pathogenicity island 2 (SPI-2). These experiments validated the regulatory model and showed that the response regulator SsrB and the MarR type regulator, SlyA, are the terminal regulators in a cascade that integrates multiple signals. Furthermore, experiments to demonstrate epistatic relationships showed that SsrB can replace SlyA and, in some cases, SlyA can replace SsrB for expression of SPI-2 encoded virulence factors

    Performance of the ATLAS electromagnetic calorimeter end-cap module 0

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    The construction and beam test results of the ATLAS electromagnetic end-cap calorimeter pre-production module 0 are presented. The stochastic term of the energy resolution is between 10% GeV^1/2 and 12.5% GeV^1/2 over the full pseudorapidity range. Position and angular resolutions are found to be in agreement with simulation. A global constant term of 0.6% is obtained in the pseudorapidity range 2.5 eta 3.2 (inner wheel)

    Method and a node for detecting phase noise in MIMO communication systems

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    A method for phase noise detection in a MIMO communication system comprises the step of computing an initial estimate of phase using received pilot symbols. A phase follows for interpolating between successive pilot symbol phase estimates to obtain a coarse resolution reference phase estimate. Then, it follows a phase for computing a fine resolution estimate of phase using said coarse resolution phase estimate together with data expressing characteristics of known phase noise processes, applying an expectation maximization (EM) algorithm. The application of the EM algorithm can be further refined using improved symbol decisions from a FEC decoding

    Method and a node for detecting phase noise in MIMO communication systems

    No full text
    A method for phase noise detection in a MIMO communication system comprises the step of computing an initial estimate of phase using received pilot symbols. A phase follows for interpolating between successive pilot symbol phase estimates to obtain a coarse resolution reference phase estimate. Then, it follows a phase for computing a fine resolution estimate of phase using said coarse resolution phase estimate together with data expressing characteristics of known phase noise processes, applying an expectation maximization (EM) algorithm. The application of the EM algorithm can be further refined using improved symbol decisions from a FEC decoding
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