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Sökning: WFRF:(Seiz M.)

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  • Brockmann, L, et al. (författare)
  • Molecular and functional heterogeneity of IL-10-producing CD4+ T cells
  • 2018
  • Ingår i: Nature communications. - : Springer Science and Business Media LLC. - 2041-1723. ; 9:1, s. 5457-
  • Tidskriftsartikel (refereegranskat)abstract
    • IL-10 is a prototypical anti-inflammatory cytokine, which is fundamental to the maintenance of immune homeostasis, especially in the intestine. There is an assumption that cells producing IL-10 have an immunoregulatory function. However, here we report that IL-10-producing CD4+ T cells are phenotypically and functionally heterogeneous. By combining single cell transcriptome and functional analyses, we identified a subpopulation of IL-10-producing Foxp3neg CD4+ T cells that displays regulatory activity unlike other IL-10-producing CD4+ T cells, which are unexpectedly pro-inflammatory. The combinatorial expression of co-inhibitory receptors is sufficient to discriminate IL-10-producing CD4+ T cells with regulatory function from others and to identify them across different tissues and disease models in mice and humans. These regulatory IL-10-producing Foxp3neg CD4+ T cells have a unique transcriptional program, which goes beyond the regulation of IL-10 expression. Finally, we found that patients with Inflammatory Bowel Disease demonstrate a deficiency in this specific regulatory T-cell subpopulation.
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3.
  • Seiz, M., et al. (författare)
  • Active exploration for feature based global localization
  • 2000
  • Ingår i: 2000 IEEE/RSJ International Conference on Intelligent Robots and Systems. ; , s. 281-287
  • Konferensbidrag (refereegranskat)abstract
    • This paper presents an algorithm for a mobile robot to actively explore the environment in order to achieve global localization. During the localization process interesting regions for future exploration are selected based on the detected features and on the hypotheses generated by the localization algorithm. The localization process is improved by presenting unique features to the robot's sensors. The proposed algorithm provides highly robust global localization in real world environments with very low computational effort spent in finding exploration goal points. Experimental results are given demonstrating the effectiveness of the algorithm in a number of different situations.
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  • Resultat 1-3 av 3

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