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  • Animals  (1)
  • Cytokines/immunology  (1)
  • Name-based infrastructure  (1)
  • 2010-2014  (2)
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  • 2010-2014  (2)
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  • 1
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    Stress in puberty unmasks latent neuropathological consequences of prenatal immune activation in mice (2013)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2013-03-02
    Description: Prenatal infection and exposure to traumatizing experiences during peripuberty have each been associated with increased risk for neuropsychiatric disorders. Evidence is lacking for the cumulative impact of such prenatal and postnatal environmental challenges on brain functions and vulnerability to psychiatric disease. Here, we show in a translational mouse model that combined exposure to prenatal immune challenge and peripubertal stress induces synergistic pathological effects on adult behavioral functions and neurochemistry. We further demonstrate that the prenatal insult markedly increases the vulnerability of the pubescent offspring to brain immune changes in response to stress. Our findings reveal interactions between two adverse environmental factors that have individually been associated with neuropsychiatric disease and support theories that mental illnesses with delayed onsets involve multiple environmental hits.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Giovanoli, Sandra -- Engler, Harald -- Engler, Andrea -- Richetto, Juliet -- Voget, Mareike -- Willi, Roman -- Winter, Christine -- Riva, Marco A -- Mortensen, Preben B -- Feldon, Joram -- Schedlowski, Manfred -- Meyer, Urs -- New York, N.Y. -- Science. 2013 Mar 1;339(6123):1095-9. doi: 10.1126/science.1228261.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Physiology and Behavior Laboratory, Swiss Federal Institute of Technology (ETH) Zurich, 8603 Schwerzenbach, Switzerland.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23449593" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Cytokines/immunology ; Disease Models, Animal ; Female ; Humans ; Mental Disorders/*immunology ; Mice ; Mice, Inbred C57BL ; Poly I-C/immunology/pharmacology ; Pregnancy ; Prenatal Exposure Delayed Effects/*immunology/virology ; Puberty/*immunology ; Stress, Physiological/*immunology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Scientific names of organisms : attribution, rights, and licensing (2014)
    BioMed Central
    Details
    Publication Date: 2022-05-26
    Description: © The Author(s), 2014. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in BMC Research Notes 7 (2014): 79, doi:10.1186/1756-0500-7-79.
    Description: As biological disciplines extend into the ‘big data’ world, they will need a names-based infrastructure to index and interconnect distributed data. The infrastructure must have access to all names of all organisms if it is to manage all information. Those who compile lists of species hold different views as to the intellectual property rights that apply to the lists. This creates uncertainty that impedes the development of a much-needed infrastructure for sharing biological data in the digital world. The laws in the United States of America and European Union are consistent with the position that scientific names of organisms and their compilation in checklists, classifications or taxonomic revisions are not subject to copyright. Compilations of names, such as classifications or checklists, are not creative in the sense of copyright law. Many content providers desire credit for their efforts. A ‘blue list’ identifies elements of checklists, classifications and monographs to which intellectual property rights do not apply. To promote sharing, authors of taxonomic content, compilers, intermediaries, and aggregators should receive citable recognition for their contributions, with the greatest recognition being given to the originating authors. Mechanisms for achieving this are discussed.
    Keywords: Scientific names ; Taxonomy ; Copyright ; Intellectual property rights ; Name-based infrastructure ; Big data
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/pdf
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    PAPER (OA)
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