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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1998-04-16
    Description: During a B cell immune response, the transcription factor BSAP maintains its activator functions but is relieved of its repressor functions. This selective targeting of BSAP activities was shown to be regulated by a concentration-dependent mechanism whereby activator motifs for BSAP had a 20-fold higher binding affinity than repressor motifs. An exchange of activator and repressor motifs, however, showed that the context of the motif, rather than the affinity, determined whether BSAP operated as an activator or repressor.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Wallin, J J -- Gackstetter, E R -- Koshland, M E -- CA09179/CA/NCI NIH HHS/ -- New York, N.Y. -- Science. 1998 Mar 20;279(5358):1961-4.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Immunology Division, Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/9506950" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Antigens, CD19/genetics ; B-Cell-Specific Activator Protein ; B-Lymphocytes/cytology/immunology/*metabolism ; Binding Sites ; Cell Line ; DNA-Binding Proteins/*genetics/*metabolism ; Gene Expression ; *Gene Expression Regulation ; Genes, Immunoglobulin ; Immunoglobulin Heavy Chains/genetics ; Immunoglobulin J-Chains/genetics ; Mice ; Nuclear Proteins/*genetics/*metabolism ; Phenotype ; Plasma Cells/immunology/metabolism ; Promoter Regions, Genetic ; *Regulatory Sequences, Nucleic Acid ; Repressor Proteins/genetics/metabolism ; Transcription Factors/*metabolism ; Transfection
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2016-04-20
    Description: The dynamical history of most merging galaxies is not well understood. Correlations between galaxy interaction and star formation have been found in previous studies, but require the context of the physical history of merging systems for full insight into the processes that lead to enhanced star formation. We present the results of simulations that reconstruct the orbit trajectories and disturbed morphologies of pairs of interacting galaxies. With the use of a restricted three-body simulation code and the help of citizen scientists, we sample 10 5 points in parameter space for each system. We demonstrate a successful recreation of the morphologies of 62 pairs of interacting galaxies through the review of more than 3 million simulations. We examine the level of convergence and uniqueness of the dynamical properties of each system. These simulations represent the largest collection of models of interacting galaxies to date, providing a valuable resource for the investigation of mergers. This paper presents the simulation parameters generated by the project. They are now publicly available in electronic format at http://data.galaxyzoo.org/mergers.html . Though our best-fitting model parameters are not an exact match to previously published models, our method for determining uncertainty measurements will aid future comparisons between models. The dynamical clocks from our models agree with previous results of the time since the onset of star formation from starburst models in interacting systems and suggest that tidally induced star formation is triggered very soon after closest approach.
    Print ISSN: 0035-8711
    Electronic ISSN: 1365-2966
    Topics: Physics
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