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Your search keyword '"Karl-Franzens-Universität [Graz, Autriche]"' showing total 4 results
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4 results on '"Karl-Franzens-Universität [Graz, Autriche]"'

1. Classification and nomenclature of metacaspases and paracaspases: no more confusion with caspases

Author

Christiane Funk, Vanina E. Alvarez, Heinz D. Osiewacz, Juan José Cazzulo, Simon Stael, Boris Zhivotovsky, Chang Jae Choi, Frank Madeo, Jens Staal, Kailash C. Pandey, Lynn A. Megeney, Yigong Shi, Magali Casanova, Andrei Smertenko, Maurício F.M. Machado, Eric Lam, Renier A. L. van der Hoorn, Juergen Ruland, Ilana Berman-Frank, Panagiotis N. Moschou, Peter V. Bozhkov, Jeremy C. Mottram, Kay D. Bidle, Jerry Ståhlberg, Rudi Beyaert, Christopher M. Overall, Frédéric Bornancin, Kris Gevaert, Margot Thome, Assaf Vardi, Núria S. Coll, Patrick Gallois, Frank Van Breusegem, Thomas Nyström, Vishva M. Dixit, Marko Dolinar, Maria F. Suarez, Stephan Hailfinger, Nicolas Fasel, Emilio Gutierrez-Beltran, John A. Berges, Anna Linusson, Hannele Tuominen, Daniel Krappmann, Guy S. Salvesen, Marina Klemenčič, Elena A. Minina, Eugene V. Koonin, Canaan, Stephane, Swedish University of Agricultural Sciences (SLU), Universiteit Gent = Ghent University (UGENT), Universidad Nacional de San Martin (UNSAM), University of Wisconsin - Milwaukee, University of Haifa [Haifa], Rutgers, The State University of New Jersey [New Brunswick] (RU), Rutgers University System (Rutgers), Novartis Institutes for BioMedical Research (NIBR), Laboratoire d'ingénierie des systèmes macromoléculaires (LISM), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), University of Texas at Austin [Austin], Centre for Research in Agricultural Genomics (CRAG), Genentech, Inc., Genentech, Inc. [San Francisco], University of Ljubljana, Université de Lausanne = University of Lausanne (UNIL), Umeå University, Universidade de Mogi das Cruces = University of Mogi das Cruzes (UMC), Karl-Franzens-Universität Graz, University of Ottawa [Ottawa], Institute of Molecular Biology and Biotechnology (IMBB-FORTH), Foundation for Research and Technology - Hellas (FORTH), University of York [York, UK], University of Gothenburg (GU), Goethe-University Frankfurt am Main, University of British Columbia (UBC), National Institute of Malaria Research [New Dehli, Inde] (NIMR), Indian Council of Medical Research [New Dehli] (ICMR), Technische Universität Munchen - Université Technique de Munich [Munich, Allemagne] (TUM), Sanford Burnham Prebys Medical Discovery Institute, Westlake University [Zhejiang], Washington State University (WSU), Universidad de Málaga [Málaga] = University of Málaga [Málaga], University of Oxford, Weizmann Institute of Science [Rehovot, Israël], Lomonosov Moscow State University (MSU), Knut and Alice Wallenberg Foundation, Swedish University of Agricultural Sciences and Linnean Center for Plant Biology, Universiteit Gent = Ghent University [Belgium] (UGENT), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Aix Marseille Université (AMU), University of Lausanne (UNIL), Karl-Franzens-Universität [Graz, Autriche], University of Oxford [Oxford], University of Graz, and Technical University of Munich (TUM)

Subjects
Consensus, METACASPASES, Protein Conformation, [SDV]Life Sciences [q-bio], Computational biology, Article, purl.org/becyt/ford/1 [https], Structure-Activity Relationship, 03 medical and health sciences, 0302 clinical medicine, Terminology as Topic, medicine, Animals, Humans, CRYSTAL-STRUCTURE, purl.org/becyt/ford/1.6 [https], SPECIFICITY, Molecular Biology, Nomenclature, Caspase, PARACASPASES, ComputingMilieux_MISCELLANEOUS, Plant Proteins, 030304 developmental biology, Confusion, 0303 health sciences, biology, MALT1, Biology and Life Sciences, Cell Biology, 3. Good health, PROTEASES, [SDV] Life Sciences [q-bio], KEY, Mucosa-Associated Lymphoid Tissue Lymphoma Translocation 1 Protein, Caspases, biology.protein, CLAN CD, medicine.symptom, 030217 neurology & neurosurgery
Abstract

Metacaspases and paracaspases are proteases that were first identified as containing a caspase-like structural fold (Uren et al., 2000). Like caspases, metacaspases and paracaspases are multifunctional proteins regulating diverse biological phenomena, such as aging, immunity, proteostasis, and programmed cell death. The broad phylogenetic distribution of metacaspases and paracaspases across all kingdoms of life and large variation of their biochemical and structural features complicate classification and annotation of the rapidly growing number of identified homologs. Establishment of an adequate classification and unified nomenclature of metacaspases and paracaspases is especially important to avoid frequent confusion of these proteases with caspases—a tenacious misnomer that unfortunately does not appear to decline with time. This Letter represents a consensus opinion of researchers studying different aspects of caspases, metacaspases, and paracaspases in various organisms, ranging from microbes to plants and animals., This work was supported by the Knut and Alice Wallenberg Foundation.

Published
2020
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2. Adjusting climate model bias for agricultural impact assessment: How to cut the mustard

Author

Alex J. Cannon, Seth McGinnis, Andrea Toreti, Maialen Iturbide, Alessandro Dosio, Mathieu Vrac, Harilaos Loukos, Angelo Riccio, Enrique Sánchez, Stefan Lange, Grigory Nikulin, Douglas Maraun, Frank Dentener, Efisio Solazzo, N de Noblet-Ducoudré, A Maiorano, Francisco J. Doblas-Reyes, Ole Bøssing Christensen, Martin W. Jury, Andrej Ceglar, Matteo Zampieri, José M. Gutiérrez, S. Galmarini, Barcelona Supercomputing Center, European Commission - Joint Research Centre [Ispra] (JRC), Environnement Canada, Centre météorologique canadien, Danish Meteorological Institute (DMI), Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Barcelona Supercomputing Center - Centro Nacional de Supercomputacion (BSC - CNS), Spanish National Research Council (CSIC), Karl-Franzens-Universität Graz, Potsdam Institute for Climate Impact Research (PIK), the Climate Data Factory, European Food Safety Authority (EFSA), Wegener Center for Climate and Global Change (WEGC), National Center for Atmospheric Research [Boulder] (NCAR), Swedish Meteorological and Hydrological Institute (SMHI), Università degli Studi di Napoli 'Parthenope' = University of Naples (PARTHENOPE), Universidad de Castilla-La Mancha = University of Castilla-La Mancha (UCLM), Extrèmes : Statistiques, Impacts et Régionalisation (ESTIMR), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Karl-Franzens-Universität [Graz, Autriche], The Climate Data Factory, University Parthenope of Naples, University of Castilla-La Mancha (UCLM), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), and University of Graz

Subjects
Atmospheric Science, Climate Research, 010504 meteorology & atmospheric sciences, [SDE.MCG]Environmental Sciences/Global Changes, Short Communication, 0207 environmental engineering, [SDV.SA.AGRO]Life Sciences [q-bio]/Agricultural sciences/Agronomy, Global and Planetary Change, 02 engineering and technology, 01 natural sciences, Klimatforskning, Climate models, Political science, Agency (sociology), 020701 environmental engineering, Environmental planning, ComputingMilieux_MISCELLANEOUS, 0105 earth and related environmental sciences, Impact assessment, business.industry, Bias adjustment methods, Climatic changes, Crops and climate, 13. Climate action, Agriculture, Climatologia, Enginyeria agroalimentària::Ciències de la terra i de la vida [Àrees temàtiques de la UPC], Crop-growth models, Climate model, [SDV.EE.BIO]Life Sciences [q-bio]/Ecology, environment/Bioclimatology, business
Abstract

MV acknowledges funding from French National Research Agency (ANR): ANR-project StaRMIP (grant agreement ANR-12-JS06-0005-01). SMcG acknowledges contributions from U.S. Department of Defense ESTCP Grant: RC-201666 and U.S. Department of Energy RGCM Grant: DE-SC0016438.

Published
2019
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3. Efficient computation of electrograms and ECGs in human whole heart simulations using a reaction-eikonal model

Author

Gernot Plank, Martin J. Bishop, Steven A. Niederer, Aurel Neic, Anton J. Prassl, Fernando O. Campos, Edward J. Vigmond, Medical University Graz, Deutsches Herzzentrum Berlin, King‘s College London, Modélisation et calculs pour l'électrophysiologie cardiaque (CARMEN), Institut de Mathématiques de Bordeaux (IMB), Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria)-IHU-LIRYC, CHU Bordeaux [Bordeaux]-Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux], Karl-Franzens-Universität [Graz, Autriche], Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1 (UB)-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)-Inria Bordeaux - Sud-Ouest, Université Bordeaux Segalen - Bordeaux 2-CHU Bordeaux [Bordeaux]-CHU Bordeaux [Bordeaux], and Karl-Franzens-Universität Graz

Subjects
Physics and Astronomy (miscellaneous), Computer science, Computation, 0206 medical engineering, Cardiac electrophysiology, Electrical activation and repolarization, 02 engineering and technology, 030204 cardiovascular system & hematology, Machine learning, computer.software_genre, Article, Rendering (computer graphics), Personalization, 03 medical and health sciences, 0302 clinical medicine, High fidelity, [SDV.MHEP.CSC]Life Sciences [q-bio]/Human health and pathology/Cardiology and cardiovascular system, Eikonal model, Numerical Analysis, Modality (human–computer interaction), business.industry, Eikonal equation, Applied Mathematics, Perspective (graphical), Bidomain model, 020601 biomedical engineering, Computer Science Applications, Computational Mathematics, Modeling and Simulation, [SDV.IB]Life Sciences [q-bio]/Bioengineering, Artificial intelligence, business, computer
Abstract

International audience; Anatomically accurate and biophysically detailed bidomain models of the human heart have proven a powerful tool for gaining quantitative insight into the links between electrical sources in the myocardium and the concomitant current flow in the surrounding medium as they represent their relationship mechanistically based on first principles. Such models are increasingly considered as a clinical research tool with the perspective of being used, ultimately, as a complementary diagnostic modality. An important prerequisite in many clinical modeling applications is the ability of models to faithfully replicate potential maps and electrograms recorded from a given patient. However, while the personalization of electrophysiology models based on the gold standard bidomain formulation is in principle feasible, the associated computational expenses are significant, rendering their use incompatible with clinical time frames. In this study we report on the development of a novel computationally efficient reaction-eikonal (R-E) model for modeling extracellular potential maps and electrograms. Using a biventricular human electrophysiology model, which incorporates a topologically realistic His-Purkinje system (HPS), we demonstrate by comparing against a high-resolution reaction-diffusion (R-D) bidomain model that the R-E model predicts extracellular potential fields, electrograms as well as ECGs at the body surface with high fidelity and offers vast computational savings greater than three orders of magnitude. Due to their efficiency R-E models are ideally suitable for forward simulations in clinical modeling studies which attempt to personalize electrophysiological model features.

Published
2017
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4. Laboratory intercomparison study for the analysis of nonylphenol and octylphenol in river water

Author

H. Schmid, Giulio Mariani, Stefan Weiss, A. Navarro Ortega, Thomas A. Ternes, Damià Barceló, Stefano Polesello, F. Leiendecker, R. de Boer, J. Staeb, Wolfgang Moche, S. Boutrup, A. Hildebrandt, Jan Wollgast, Georg Hanke, Philipp Hohenblum, Peter Lepom, Giovanni Bidoglio, G. Umlauf, Javier Castro-Jiménez, Robert Loos, I. Dimitrova, Sara Valsecchi, G. Locoro, O. Sortkjaer, O. Nitcheva, Tania Huber, JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Institute for Environment and Sustainability, European Commission, Karl-Franzens-Universität [Graz, Autriche], Institute of Environmental Assessment and Water Research (IDAEA), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Dept. of General and Industrial Microbiology, Faculty of Biology, and Sofia University 'St. Kliment Ohridski'

Subjects
Laboratory intercomparison, QA/QC, 010501 environmental sciences, Standard solution, 01 natural sciences, Sampling intercomparison, Analytical Chemistry, Proficiency testing, chemistry.chemical_compound, Priority substance, Polybrominated diphenyl ethers, Water Framework Directive, [CHIM.ANAL]Chemical Sciences/Analytical chemistry, media_common.cataloged_instance, [CHIM]Chemical Sciences, Sample preparation, European union, Derivatization, Spectroscopy, 0105 earth and related environmental sciences, media_common, Octylphenol, Chromatography, Chemistry, 010401 analytical chemistry, Quality control, 6. Clean water, Nonylphenol, Quality assurance, 0104 chemical sciences, Environmental chemistry, [SDE]Environmental Sciences, Gas chromatography
Abstract

7 pages, 4 figures, 2 tables.-- Available online Oct 30, 2007., In support of the implementation of the European Union (EU) Water Framework Directive (WFD), the European Commission (EC) Joint Research Centre (JRC) organized a laboratory and sampling intercomparison study for the chemical monitoring of polyaromatic hydrocarbons (PAHs), polybrominated diphenyl ethers (PBDEs), and nonylphenol and octylphenol (NP/OP), priority substances of the WFD, in river water. EU Member State laboratories were invited to analyze a standard solution with unknown concentration levels and a river-water extract, as well as a real water sample from the River Po (Italy). For the standard solution and the river-water extract, good agreement was achieved for five laboratories. Triple-quadrupole liquid chromatography with tandem mass spectrometry (LC-MS2) and gas chromatography with MS (GC-MS) with or without derivatization proved to be comparable methods for the analysis of NP and OP. Fluorescence detection can also be used to analyze NP and OP, but it is less specific. The results of the River Po water sample showed that some laboratories have problems in analyzing NP at concentration levels below 100 ng/L due to contamination of laboratory blanks. Plastics materials should not be used during extraction and sample preparation., Without the effort of the participating laboratories, this article would not have been possible. Susanne Boutrup, Stefano Polesello and Joan Staeb have given very helpful comments on the manuscript. Stefano Polesello is especially thanked for the help with the OP standards. Moreover, we would like to thank the “Servizio Risorse Idriche e Tutela Ambientale della Provincia di Ferrara” (Silvano Bencivelli, Paola Magri), Lars Håkanson, Graziella Leroy and Madeleine Rizzi.

Published
2008
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