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  • 1
    Publication Date: 2008-01-18
    Description: The RIG-like helicase (RLH) family of intracellular receptors detect viral nucleic acid and signal through the mitochondrial antiviral signalling adaptor MAVS (also known as Cardif, VISA and IPS-1) during a viral infection. MAVS activation leads to the rapid production of antiviral cytokines, including type 1 interferons. Although MAVS is vital to antiviral immunity, its regulation from within the mitochondria remains unknown. Here we describe human NLRX1, a highly conserved nucleotide-binding domain (NBD)- and leucine-rich-repeat (LRR)-containing family member (known as NLR) that localizes to the mitochondrial outer membrane and interacts with MAVS. Expression of NLRX1 results in the potent inhibition of RLH- and MAVS-mediated interferon-beta promoter activity and in the disruption of virus-induced RLH-MAVS interactions. Depletion of NLRX1 with small interference RNA promotes virus-induced type I interferon production and decreases viral replication. This work identifies NLRX1 as a check against mitochondrial antiviral responses and represents an intersection of three ancient cellular processes: NLR signalling, intracellular virus detection and the use of mitochondria as a platform for anti-pathogen signalling. This represents a conceptual advance, in that NLRX1 is a modulator of pathogen-associated molecular pattern receptors rather than a receptor, and identifies a key therapeutic target for enhancing antiviral responses.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Moore, Chris B -- Bergstralh, Daniel T -- Duncan, Joseph A -- Lei, Yu -- Morrison, Thomas E -- Zimmermann, Albert G -- Accavitti-Loper, Mary A -- Madden, Victoria J -- Sun, Lijun -- Ye, Zhengmao -- Lich, John D -- Heise, Mark T -- Chen, Zhijian -- Ting, Jenny P-Y -- England -- Nature. 2008 Jan 31;451(7178):573-7. doi: 10.1038/nature06501. Epub 2008 Jan 16.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology-Immunology, University of North Carolina, Chapel Hill, North Carolina 27599, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/18200010" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptor Proteins, Signal Transducing/antagonists & inhibitors/metabolism ; Animals ; Cell Line ; Cloning, Molecular ; Computational Biology ; Humans ; Interferon-beta/biosynthesis/genetics/metabolism ; Mice ; Mitochondria/*immunology/*metabolism ; Mitochondrial Membranes/metabolism ; Mitochondrial Proteins/genetics/*metabolism ; NF-kappa B/metabolism ; Protein Binding ; Protein Transport ; RNA, Small Interfering/genetics/metabolism ; Signal Transduction ; Virus Replication ; Viruses/*immunology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2011-02-19
    Description: The deep-water Avalon biota (about 579 to 565 million years old) is often regarded as the earliest-known fossil assemblage with macroscopic and morphologically complex life forms. It has been proposed that the rise of the Avalon biota was triggered by the oxygenation of mid-Ediacaran deep oceans. Here we report a diverse assemblage of morphologically differentiated benthic macrofossils that were preserved largely in situ as carbonaceous compressions in black shales of the Ediacaran Lantian Formation (southern Anhui Province, South China). The Lantian biota, probably older than and taxonomically distinct from the Avalon biota, suggests that morphological diversification of macroscopic eukaryotes may have occurred in the early Ediacaran Period, perhaps shortly after the Marinoan glaciation, and that the redox history of Ediacaran oceans was more complex than previously thought.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yuan, Xunlai -- Chen, Zhe -- Xiao, Shuhai -- Zhou, Chuanming -- Hua, Hong -- England -- Nature. 2011 Feb 17;470(7334):390-3. doi: 10.1038/nature09810.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉State Key Laboratory of Palaeobiology and Stratigraphy, Nanjing Institute of Geology and Palaeontology, Chinese Academy of Sciences, Nanjing 210008, China. xlyuan@nigpas.ac.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21331041" target="_blank"〉PubMed〈/a〉
    Keywords: *Biological Evolution ; *Biota ; *Body Size ; China ; Eukaryota/*classification/cytology/isolation & purification ; *Fossils ; Geologic Sediments ; History, Ancient ; Oceans and Seas ; Oxidation-Reduction ; Phylogeny ; Uncertainty
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 3
    Publication Date: 2012-10-12
    Description: Antigen-presenting molecules, encoded by the major histocompatibility complex (MHC) and CD1 family, bind peptide- and lipid-based antigens, respectively, for recognition by T cells. Mucosal-associated invariant T (MAIT) cells are an abundant population of innate-like T cells in humans that are activated by an antigen(s) bound to the MHC class I-like molecule MR1. Although the identity of MR1-restricted antigen(s) is unknown, it is present in numerous bacteria and yeast. Here we show that the structure and chemistry within the antigen-binding cleft of MR1 is distinct from the MHC and CD1 families. MR1 is ideally suited to bind ligands originating from vitamin metabolites. The structure of MR1 in complex with 6-formyl pterin, a folic acid (vitamin B9) metabolite, shows the pterin ring sequestered within MR1. Furthermore, we characterize related MR1-restricted vitamin derivatives, originating from the bacterial riboflavin (vitamin B2) biosynthetic pathway, which specifically and potently activate MAIT cells. Accordingly, we show that metabolites of vitamin B represent a class of antigen that are presented by MR1 for MAIT-cell immunosurveillance. As many vitamin biosynthetic pathways are unique to bacteria and yeast, our data suggest that MAIT cells use these metabolites to detect microbial infection.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Kjer-Nielsen, Lars -- Patel, Onisha -- Corbett, Alexandra J -- Le Nours, Jerome -- Meehan, Bronwyn -- Liu, Ligong -- Bhati, Mugdha -- Chen, Zhenjun -- Kostenko, Lyudmila -- Reantragoon, Rangsima -- Williamson, Nicholas A -- Purcell, Anthony W -- Dudek, Nadine L -- McConville, Malcolm J -- O'Hair, Richard A J -- Khairallah, George N -- Godfrey, Dale I -- Fairlie, David P -- Rossjohn, Jamie -- McCluskey, James -- England -- Nature. 2012 Nov 29;491(7426):717-23. doi: 10.1038/nature11605. Epub 2012 Oct 10.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology & Immunology, University of Melbourne, Parkville, Victoria 3010, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/23051753" target="_blank"〉PubMed〈/a〉
    Keywords: Antigen Presentation ; Bacterial Infections/immunology/microbiology ; Binding Sites ; Cell Line ; Crystallography, X-Ray ; Folic Acid/chemistry/immunology/*metabolism ; Histocompatibility Antigens/chemistry/immunology ; Histocompatibility Antigens Class I/*chemistry/*immunology/metabolism ; Humans ; Immunologic Surveillance/immunology ; Jurkat Cells ; Ligands ; Lymphocyte Activation ; Models, Molecular ; Protein Refolding/drug effects ; Pterins/*chemistry/*immunology/metabolism/pharmacology ; Salmonella/immunology/metabolism ; Salmonella Infections/immunology/microbiology ; Static Electricity ; T-Lymphocytes/*immunology ; beta 2-Microglobulin/immunology/metabolism
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    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 4
    Publication Date: 2012-09-08
    Description: Transcription factors bind in a combinatorial fashion to specify the on-and-off states of genes; the ensemble of these binding events forms a regulatory network, constituting the wiring diagram for a cell. To examine the principles of the human transcriptional regulatory network, we determined the genomic binding information of 119 transcription-related factors in over 450 distinct experiments. We found the combinatorial, co-association of transcription factors to be highly context specific: distinct combinations of factors bind at specific genomic locations. In particular, there are significant differences in the binding proximal and distal to genes. We organized all the transcription factor binding into a hierarchy and integrated it with other genomic information (for example, microRNA regulation), forming a dense meta-network. Factors at different levels have different properties; for instance, top-level transcription factors more strongly influence expression and middle-level ones co-regulate targets to mitigate information-flow bottlenecks. Moreover, these co-regulations give rise to many enriched network motifs (for example, noise-buffering feed-forward loops). Finally, more connected network components are under stronger selection and exhibit a greater degree of allele-specific activity (that is, differential binding to the two parental alleles). The regulatory information obtained in this study will be crucial for interpreting personal genome sequences and understanding basic principles of human biology and disease.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4154057/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gerstein, Mark B -- Kundaje, Anshul -- Hariharan, Manoj -- Landt, Stephen G -- Yan, Koon-Kiu -- Cheng, Chao -- Mu, Xinmeng Jasmine -- Khurana, Ekta -- Rozowsky, Joel -- Alexander, Roger -- Min, Renqiang -- Alves, Pedro -- Abyzov, Alexej -- Addleman, Nick -- Bhardwaj, Nitin -- Boyle, Alan P -- Cayting, Philip -- Charos, Alexandra -- Chen, David Z -- Cheng, Yong -- Clarke, Declan -- Eastman, Catharine -- Euskirchen, Ghia -- Frietze, Seth -- Fu, Yao -- Gertz, Jason -- Grubert, Fabian -- Harmanci, Arif -- Jain, Preti -- Kasowski, Maya -- Lacroute, Phil -- Leng, Jing -- Lian, Jin -- Monahan, Hannah -- O'Geen, Henriette -- Ouyang, Zhengqing -- Partridge, E Christopher -- Patacsil, Dorrelyn -- Pauli, Florencia -- Raha, Debasish -- Ramirez, Lucia -- Reddy, Timothy E -- Reed, Brian -- Shi, Minyi -- Slifer, Teri -- Wang, Jing -- Wu, Linfeng -- Yang, Xinqiong -- Yip, Kevin Y -- Zilberman-Schapira, Gili -- Batzoglou, Serafim -- Sidow, Arend -- Farnham, Peggy J -- Myers, Richard M -- Weissman, Sherman M -- Snyder, Michael -- T32 GM007205/GM/NIGMS NIH HHS/ -- T32GM008283-24/GM/NIGMS NIH HHS/ -- U01 HG004695/HG/NHGRI NIH HHS/ -- U54 HG004558/HG/NHGRI NIH HHS/ -- England -- Nature. 2012 Sep 6;489(7414):91-100. doi: 10.1038/nature11245.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Program in Computational Biology and Bioinformatics, Yale University, New Haven, Connecticut 06520, USA. mark.gerstein@yale.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22955619" target="_blank"〉PubMed〈/a〉
    Keywords: Alleles ; Cell Line ; DNA/*genetics ; *Encyclopedias as Topic ; GATA1 Transcription Factor/metabolism ; Gene Expression Profiling ; Gene Regulatory Networks/*genetics ; Genome, Human/*genetics ; Genomics ; Humans ; K562 Cells ; *Molecular Sequence Annotation ; Organ Specificity ; Phosphorylation/genetics ; Polymorphism, Single Nucleotide/genetics ; Protein Interaction Maps ; RNA, Untranslated/genetics/metabolism ; Regulatory Sequences, Nucleic Acid/*genetics ; Selection, Genetic/genetics ; Transcription Factors/*metabolism ; Transcription Initiation Site
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  • 5
    Publication Date: 2015-07-23
    Description: Atmospheric methane is the second most important greenhouse gas after carbon dioxide, and is responsible for about 20% of the global warming effect since pre-industrial times. Rice paddies are the largest anthropogenic methane source and produce 7-17% of atmospheric methane. Warm waterlogged soil and exuded nutrients from rice roots provide ideal conditions for methanogenesis in paddies with annual methane emissions of 25-100-million tonnes. This scenario will be exacerbated by an expansion in rice cultivation needed to meet the escalating demand for food in the coming decades. There is an urgent need to establish sustainable technologies for increasing rice production while reducing methane fluxes from rice paddies. However, ongoing efforts for methane mitigation in rice paddies are mainly based on farming practices and measures that are difficult to implement. Despite proposed strategies to increase rice productivity and reduce methane emissions, no high-starch low-methane-emission rice has been developed. Here we show that the addition of a single transcription factor gene, barley SUSIBA2 (refs 7, 8), conferred a shift of carbon flux to SUSIBA2 rice, favouring the allocation of photosynthates to aboveground biomass over allocation to roots. The altered allocation resulted in an increased biomass and starch content in the seeds and stems, and suppressed methanogenesis, possibly through a reduction in root exudates. Three-year field trials in China demonstrated that the cultivation of SUSIBA2 rice was associated with a significant reduction in methane emissions and a decrease in rhizospheric methanogen levels. SUSIBA2 rice offers a sustainable means of providing increased starch content for food production while reducing greenhouse gas emissions from rice cultivation. Approaches to increase rice productivity and reduce methane emissions as seen in SUSIBA2 rice may be particularly beneficial in a future climate with rising temperatures resulting in increased methane emissions from paddies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Su, J -- Hu, C -- Yan, X -- Jin, Y -- Chen, Z -- Guan, Q -- Wang, Y -- Zhong, D -- Jansson, C -- Wang, F -- Schnurer, A -- Sun, C -- England -- Nature. 2015 Jul 30;523(7562):602-6. doi: 10.1038/nature14673. Epub 2015 Jul 22.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉1] Institute of Biotechnology, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China [2] Department of Plant Biology, Uppsala BioCenter, Linnean Center for Plant Biology, Swedish University of Agricultural Sciences, PO Box 7080, SE-75007 Uppsala, Sweden. ; Department of Plant Biology, Uppsala BioCenter, Linnean Center for Plant Biology, Swedish University of Agricultural Sciences, PO Box 7080, SE-75007 Uppsala, Sweden. ; 1] Department of Plant Biology, Uppsala BioCenter, Linnean Center for Plant Biology, Swedish University of Agricultural Sciences, PO Box 7080, SE-75007 Uppsala, Sweden [2] Hunan Provincial Key Laboratory of Crop Germplasm Innovation and Utilization, Hunan Agricultural University, Changsha 410128, China. ; Institute of Biotechnology, Fujian Academy of Agricultural Sciences, Fuzhou 350003, China. ; The Environmental Molecular Sciences Laboratory (EMSL), Pacific Northwest National Laboratory, PO Box 999, K8-93 Richland, Washington 99352, USA. ; Department of Microbiology, Uppsala BioCenter, Swedish University of Agricultural Sciences, SE-75007 Uppsala, Sweden.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26200336" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/methods/trends ; Atmosphere/chemistry ; Biomass ; Carbon Cycle ; China ; Conservation of Natural Resources/methods ; Food Supply/methods ; Genotype ; Global Warming/prevention & control ; Greenhouse Effect/*prevention & control ; Hordeum/*genetics ; Methane/biosynthesis/*metabolism ; Molecular Sequence Data ; Oryza/genetics/growth & development/*metabolism ; Phenotype ; Photosynthesis ; Plant Components, Aerial/metabolism ; Plant Proteins/genetics/*metabolism ; Plant Roots/metabolism ; Plants, Genetically Modified ; Rhizosphere ; Seeds/metabolism ; Starch/biosynthesis/*metabolism ; Transcription Factors/genetics/*metabolism
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    Electronic ISSN: 1476-4687
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  • 6
    Publication Date: 2011-04-02
    Description: The current molecular systematics of angiosperms recognizes the basal angiosperms and five major angiosperm lineages: the Chloranthaceae, the magnoliids, the monocots, Ceratophyllum and the eudicots, which consist of the basal eudicots and the core eudicots. The eudicots form the majority of the angiosperms in the world today. The flowering plants are of exceptional evolutionary interest because of their diversity of over 250,000 species and their abundance as the dominant vegetation in most terrestrial ecosystems, but little is known of their very early history. In this report we document an early presence of eudicots during the Early Cretaceous Period. Diagnostic characters of the eudicot fossil Leefructus gen. nov. include simple and deeply trilobate leaves clustered at the nodes in threes or fours, basal palinactinodromous primary venation, pinnate secondary venation, and a long axillary reproductive axis terminating in a flattened receptacle bearing five long, narrow pseudo-syncarpous carpels. These morphological characters suggest that its affinities are with the Ranunculaceae, a basal eudicot family. The fossil co-occurs with Archaefructus sinensis and Hyrcantha decussata whereas Archaefructus liaoningensis comes from more ancient sediments. Multiple radiometric dates of the Lower Cretaceous Yixian Formation place the bed yielding this fossil at 122.6-125.8 million years old. The earliest fossil records of eudicots are 127 to 125 million years old, on the basis of pollen. Thus, Leefructus gen. nov. suggests that the basal eudicots were already present and diverse by the latest Barremian and earliest Aptian.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sun, Ge -- Dilcher, David L -- Wang, Hongshan -- Chen, Zhiduan -- England -- Nature. 2011 Mar 31;471(7340):625-8. doi: 10.1038/nature09811.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Paleontological Institute of Shenyang Normal University, Shenyang 110034, China. sunge@synu.edu.cn〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21455178" target="_blank"〉PubMed〈/a〉
    Keywords: Angiosperms/anatomy & histology/*classification ; Animals ; China ; *Fossils ; *Phylogeny ; Plant Leaves/anatomy & histology/classification ; Time Factors ; Vertebrates
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  • 7
    Publication Date: 2016-03-18
    Description: Knowledge of the contribution that individual countries have made to global radiative forcing is important to the implementation of the agreement on "common but differentiated responsibilities" reached by the United Nations Framework Convention on Climate Change. Over the past three decades, China has experienced rapid economic development, accompanied by increased emission of greenhouse gases, ozone precursors and aerosols, but the magnitude of the associated radiative forcing has remained unclear. Here we use a global coupled biogeochemistry-climate model and a chemistry and transport model to quantify China's present-day contribution to global radiative forcing due to well-mixed greenhouse gases, short-lived atmospheric climate forcers and land-use-induced regional surface albedo changes. We find that China contributes 10% +/- 4% of the current global radiative forcing. China's relative contribution to the positive (warming) component of global radiative forcing, mainly induced by well-mixed greenhouse gases and black carbon aerosols, is 12% +/- 2%. Its relative contribution to the negative (cooling) component is 15% +/- 6%, dominated by the effect of sulfate and nitrate aerosols. China's strongest contributions are 0.16 +/- 0.02 watts per square metre for CO2 from fossil fuel burning, 0.13 +/- 0.05 watts per square metre for CH4, -0.11 +/- 0.05 watts per square metre for sulfate aerosols, and 0.09 +/- 0.06 watts per square metre for black carbon aerosols. China's eventual goal of improving air quality will result in changes in radiative forcing in the coming years: a reduction of sulfur dioxide emissions would drive a faster future warming, unless offset by larger reductions of radiative forcing from well-mixed greenhouse gases and black carbon.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Li, Bengang -- Gasser, Thomas -- Ciais, Philippe -- Piao, Shilong -- Tao, Shu -- Balkanski, Yves -- Hauglustaine, Didier -- Boisier, Juan-Pablo -- Chen, Zhuo -- Huang, Mengtian -- Li, Laurent Zhaoxin -- Li, Yue -- Liu, Hongyan -- Liu, Junfeng -- Peng, Shushi -- Shen, Zehao -- Sun, Zhenzhong -- Wang, Rong -- Wang, Tao -- Yin, Guodong -- Yin, Yi -- Zeng, Hui -- Zeng, Zhenzhong -- Zhou, Feng -- England -- Nature. 2016 Mar 17;531(7594):357-61. doi: 10.1038/nature17165.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Sino-French Institute for Earth System Science, Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China. ; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing, 210023, China. ; Laboratoire des Sciences du Climat et de l'Environnement, CEA-CNRS-UVSQ, 91191 Gif-sur-Yvette, France. ; Centre International de Recherche en Environnement et Developpement, CNRS-PontsParisTech-EHESS-AgroParisTech-CIRAD, 94736 Nogent-sur-Marne, France. ; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing 100085, China. ; Laboratoire de Meteorologie Dynamique, CNRS, Universite Pierre et Marie Curie-Paris 6, 75252 Paris, France.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26983540" target="_blank"〉PubMed〈/a〉
    Keywords: Aerosols/analysis/chemistry ; Air Pollution/*analysis ; Atmosphere/*chemistry ; Carbon Dioxide/analysis ; China ; Fossil Fuels ; *Greenhouse Effect ; Methane/analysis ; Soot/analysis ; Sulfates/analysis ; Sulfur Dioxide/analysis ; Uncertainty
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    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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