76 research outputs found

    Global gene-expression analysis of the response of Salmonella Enteritidis to egg-white exposure reveals multiple egg-white-imposed stress responses

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    Chicken egg white protects the embryo from bacterial invaders by presenting an assortment of antagonistic activities that combine together to both kill and inhibit growth. The key features of the egg-white anti-bacterial system are iron restriction, high pH, antibacterial peptides and proteins, and viscosity. Salmonella enterica serovar Enteritidis is the major pathogen responsible for egg-borne infection in humans, which is partly explained by its exceptional capacity for survival under the harsh conditions encountered within egg white. However, at temperatures up to 42 ˚C, egg white exerts a much stronger bactericidal effect on S. Enteritidis than at lower tempertaures, although the mechanism of egg-white-induced killing is only partly understood. Here, for the first time, the impact of exposure of S. Enteritidis to egg white under bactericidal conditions (45 ˚C) is explored by global-expression analysis. A large-scale (18.7% of genome) shift in transcription is revealed suggesting major changes in specific aspects of S. Enteritidis physiology: induction of egg-white related stress-responses (envelope damage, exposure to heat and alkalinity, and translation shutdown); shift in energy metabolism from respiration to fermentation; and enhanced micronutrient provision (due to iron and biotin restriction). Little evidence of DNA damage or redox stress was obtained. Instead, data are consistent with envelope damage resulting in cell death by lysis. A surprise was the high degree of induction of hexonate/hexuronate utilisation genes, despite no evidence indicating the presence of these substrates in egg white

    Functional Reconstitution into Liposomes of Purified Human RhCG Ammonia Channel

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    BACKGROUND: Rh glycoproteins (RhAG, RhBG, RhCG) are members of the Amt/Mep/Rh family which facilitate movement of ammonium across plasma membranes. Changes in ammonium transport activity following expression of Rh glycoproteins have been described in different heterologous systems such as yeasts, oocytes and eukaryotic cell lines. However, in these complex systems, a potential contribution of endogenous proteins to this function cannot be excluded. To demonstrate that Rh glycoproteins by themselves transport NH(3), human RhCG was purified to homogeneity and reconstituted into liposomes, giving new insights into its channel functional properties. METHODOLOGY/PRINCIPAL FINDINGS: An HA-tag introduced in the second extracellular loop of RhCG was used to purify to homogeneity the HA-tagged RhCG glycoprotein from detergent-solubilized recombinant HEK293E cells. Electron microscopy analysis of negatively stained purified RhCG-HA revealed, after image processing, homogeneous particles of 9 nm diameter with a trimeric protein structure. Reconstitution was performed with sphingomyelin, phosphatidylcholine and phosphatidic acid lipids in the presence of the C(12)E(8) detergent which was subsequently removed by Biobeads. Control of protein incorporation was carried out by freeze-fracture electron microscopy. Particle density in liposomes was a function of the Lipid/Protein ratio. When compared to empty liposomes, ammonium permeability was increased two and three fold in RhCG-proteoliposomes, depending on the Lipid/Protein ratio (1/300 and 1/150, respectively). This strong NH(3) transport was reversibly inhibited by mercuric and copper salts and exhibited a low Arrhenius activation energy. CONCLUSIONS/SIGNIFICANCE: This study allowed the determination of ammonia permeability per RhCG monomer, showing that the apparent Punit(NH3) (around 1x10(-3) microm(3)xs(-1)) is close to the permeability measured in HEK293E cells expressing a recombinant human RhCG (1.60x10(-3) microm(3)xs(-1)), and in human red blood cells endogenously expressing RhAG (2.18x10(-3) microm(3)xs(-1)). The major finding of this study is that RhCG protein is active as an NH(3) channel and that this function does not require any protein partner

    ABCG2 Is Overexpressed on Red Blood Cells in Ph-Negative Myeloproliferative Neoplasms and Potentiates Ruxolitinib-Induced Apoptosis

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    Acknowledgments: The authors would like to thank Dominique Gien, Sirandou Tounkara, and Eliane VĂ©ra at Centre National de RĂ©fĂ©rence pour les Groupes Sanguins for the management of blood samples. Funding: The work was supported by Institut National de la SantĂ© et de la Recherche MĂ©dicale (Inserm), Institut National de la Transfusion Sanguine (INTS), the University of Paris, and grants from Laboratory of Excellence (Labex) GR-Ex, reference No. ANR-11-LABX-0051. The Labex GR-Ex is funded by the IdEx program “Investissements d’avenir” of the French National Research Agency, reference No. ANR-18-IDEX-0001. R.B. was funded by the European Union’s Horizon 2020 Research and Innovation Program under grant agreement No. 675115-RELEVANCE-H2020-MSCA-ITN-2015. M.B. was funded by MinistĂšre de l’Enseignement SupĂ©rieur et de la Recherche at the BioSPC Doctoral School. R.B. and M.B. also received financial support from SociĂ©tĂ© Française d’HĂ©matologie (SFH) and Club du Globule Rouge et du Fer (CGRF).Peer reviewedPublisher PD

    Altered Ca2+ Homeostasis in Red Blood Cells of Polycythemia Vera Patients Following Disturbed Organelle Sorting during Terminal Erythropoiesis

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    The authors thank Thierry Peyrard, Dominique Gien, Sirandou Tounkara, and Eliane VĂ©ra at Centre National de RĂ©fĂ©rence pour les Groupes Sanguins for the management of blood samples. The authors thank Sandrine Genetet and Isabelle Mouro-Chanteloup at the Inserm UMR_S1134 unit for their assistance in experiments. The authors also thank MichaĂ«l Dussiot at the Institute Imagine for his assistance in imaging flow cytometry. We thank Johanna Bruce and Virginie Salnot at 3P5 Proteomics Platform for sample preparation and analysis, and François Guillonneau and Patrick Mayeux for their management and strategies. Funding: The work was supported by Institut National de la SantĂ© et de la Recherche MĂ©dicale (Inserm); Institut National de la Transfusion Sanguine (INTS); the University of Paris; and grants from Laboratory of Excellence (Labex) GR-Ex, reference No. ANR-11-LABX-0051. The Labex GR- Ex is funded by the IdEx program “Investissements d’avenir” of the French National Research Agency, reference No. ANR-11-IDEX-0005-02 and ANR-18-IDEX-0001. R.B., M.G.R., and D.M.A. were funded by the European Union’s Horizon 2020 Research and Innovation Program under grant agreement No. 675115-RELEVANCE-H2020-MSCA-ITN-2015. R.B. also received financial support from SociĂ©tĂ© Française d’HĂ©matologie (SFH) and Club du Globule Rouge et du Fer (CGRF). R.B. is currently funded by the Innovate UK Research and Innovation Knowledge Transfer Partnership (KTP) between University of Aberdeen and Vertebrate Antibodies Ltd. (Partnership No. KTP12327). T.D. was supported by PhD grants from UniversitĂ© Paris Saclay MESR (MinistĂšre Enseignement SupĂ©rieur et de la Recherche) and then FRM (Fondation recherche mĂ©dicale). The Orbitrap Fusion mass spectrometer was acquired with funds from Fonds Europeen de Developpement Regional (FEDER) through the Operational Program for Competitiveness Factors and Employment 2007-2013 and from the Canceropole Ile de France.Peer reviewedPublisher PD

    Solving multichain stochastic games with mean payoff by policy iteration

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    International audienceZero-sum stochastic games with finite state and action spaces, perfect information, and mean payoff criteria arise in particular from the monotone discretization of mean-payoff pursuit-evasion deterministic differential games. In that case no irreducibility assumption on the Markov chains associated to strategies are satisfied (multichain games). The value of such a game can be characterized by a system of nonlinear equations, involving the mean payoff vector and an auxiliary vector (relative value or bias). Cochet-Terrasson and Gaubert proposed in (C. R. Math. Acad. Sci. Paris, 2006) a policy iteration algorithm relying on a notion of nonlinear spectral projection (Akian and Gaubert, Nonlinear Analysis TMA, 2003), which allows one to avoid cycling in degenerate iterations. We give here a complete presentation of the algorithm, with details of implementation in particular of the nonlinear projection. This has led to the software PIGAMES and allowed us to present numerical results on pursuit-evasion games

    Policy iteration algorithm for zero-sum multichain stochastic games with mean payoff and perfect information

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    Preprint arXiv:1208.0446, 34pagesWe consider zero-sum stochastic games with finite state and action spaces, perfect information, mean payoff criteria, without any irreducibility assumption on the Markov chains associated to strategies (multichain games). The value of such a game can be characterized by a system of nonlinear equations, involving the mean payoff vector and an auxiliary vector (relative value or bias). We develop here a policy iteration algorithm for zero-sum stochastic games with mean payoff, following an idea of two of the authors (Cochet-Terrasson and Gaubert, C. R. Math. Acad. Sci. Paris, 2006). The algorithm relies on a notion of nonlinear spectral projection (Akian and Gaubert, Nonlinear Analysis TMA, 2003), which is analogous to the notion of reduction of super-harmonic functions in linear potential theory. To avoid cycling, at each degenerate iteration (in which the mean payoff vector is not improved), the new relative value is obtained by reducing the earlier one. We show that the sequence of values and relative values satisfies a lexicographical monotonicity property, which implies that the algorithm does terminate. We illustrate the algorithm by a mean-payoff version of Richman games (stochastic tug-of-war or discrete infinity Laplacian type equation), in which degenerate iterations are frequent. We report numerical experiments on large scale instances, arising from the latter games, as well as from monotone discretizations of a mean-payoff pursuit-evasion deterministic differential game
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