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  • 1
    Publication Date: 2015-08-19
    Description: Symbiotic associations of cellulolytic eukaryotic protists and diverse bacteria are common in the gut microbial communities of termites. Besides cellulose degradation by the gut protists, reductive acetogenesis from H2 plus CO2 and nitrogen fixation by gut bacteria play crucial roles in the host termites’ nutrition by contributing to the energy...
    Keywords: Symbioses Becoming Permanent: The Origins and Evolutionary Trajectories of Organelles Sackler Colloq
    Print ISSN: 0027-8424
    Electronic ISSN: 1091-6490
    Topics: Biology , Medicine , Natural Sciences in General
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  • 2
    Publication Date: 2015-11-26
    Description: RelB is activated by the non-canonical NF-B pathway, which is crucial for immunity by establishing lymphoid organogenesis and B-cell and dendritic cell (DC) maturation. To elucidate the mechanism of the RelB-mediated immune cell maturation, a precise understanding of the relationship between cell maturation and RelB expression and activation at the single-cell level is required. Therefore, we generated knock-in mice expressing a fusion protein between RelB and fluorescent protein (RelB-Venus) from the Relb locus. The Relb Venus / Venus mice developed without any abnormalities observed in the Relb –/– mice, allowing us to monitor RelB-Venus expression and nuclear localization as RelB expression and activation. Relb Venus / Venus DC analyses revealed that DCs consist of RelB – , RelB low and RelB high populations. The RelB high population, which included mature DCs with projections, displayed RelB nuclear localization, whereas RelB in the RelB low population was in the cytoplasm. Although both the RelB low and RelB – populations barely showed projections, MHC II and co-stimulatory molecule expression were higher in the RelB low than in the RelB – splenic conventional DCs. Taken together, our results identify the RelB low population as a possible novel intermediate maturation stage of cDCs and the Relb Venus / Venus mice as a useful tool to analyse the dynamic regulation of the non-canonical NF-B pathway.
    Print ISSN: 0021-924X
    Electronic ISSN: 1756-2651
    Topics: Biology , Chemistry and Pharmacology
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  • 3
    Publication Date: 2016-07-09
    Description: Motivation: Phosphorylation-dependent cellular signaling is known to play a diverse role in regulating multiple cellular processes such as proliferation, differentiation and apoptosis. Recent technological advances in mass spectrometry-based phosphoproteomics have enabled us to measure network-wide signaling dynamics in a comprehensive and quantitative manner. As conventional protein–protein interaction (PPI) information-based network analysis is insufficient to systematically analyze phosphorylation site-dependent complex interaction dynamics, here we develop and evaluate a platform to provide a high-resolution molecular network description for kinase–substrate interactome analysis. Results: In this study, we developed a Cytoscape-based bioinformatical platform named ‘Post Translational Modification mapper (PTMapper)’ to integrate PPI data with publicly available kinase-substrate relations at the resolution of phosphorylated amino acid residues. The previous phosphoproteome data on EGF-induced cellular signaling in glioblastoma stem cells was applied to evaluate our platform, leading to discovery of phosphorylation-dependent crucial signaling modulation in the p70S6K1-related pathway. Our study revealed that high-resolution cellular network description of phosphorylation-site dependent kinase-substrate signaling regulation should accelerate phosphoproteomics-based exploration of novel drug targets in the context of each disease-related signaling. Availability and Implementation: PTMapper and the example data for construction of phosphorylation site-oriented networks are available at https://github.com/y-narushima/PTMapper . Contact: moyama@ims.u-tokyo.ac.jp Supplementary information: Supplementary data are available at Bioinformatics online.
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
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