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Institution

Katholieke Universiteit Leuven

EducationLeuven, Belgium
About: Katholieke Universiteit Leuven is a education organization based out in Leuven, Belgium. It is known for research contribution in the topics: Population & Transplantation. The organization has 61109 authors who have published 176584 publications receiving 6210872 citations.


Papers
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Journal ArticleDOI
Carole Escartin1, Elena Galea2, Andras Lakatos3, James P. O'Callaghan4, Gabor C. Petzold5, Gabor C. Petzold6, Alberto Serrano-Pozo7, Christian Steinhäuser5, Andrea Volterra8, Giorgio Carmignoto9, Giorgio Carmignoto10, Amit Agarwal11, Nicola J. Allen12, Alfonso Araque13, Luis Barbeito14, Ari Barzilai15, Dwight E. Bergles16, Gilles Bonvento1, Arthur M. Butt17, Wei Ting Chen18, Martine Cohen-Salmon19, Colm Cunningham20, Benjamin Deneen21, Bart De Strooper22, Bart De Strooper18, Blanca Diaz-Castro23, Cinthia Farina, Marc R. Freeman24, Vittorio Gallo25, James E. Goldman26, Steven A. Goldman27, Steven A. Goldman28, Magdalena Götz29, Antonia Gutierrez30, Philip G. Haydon31, Dieter Henrik Heiland32, Elly M. Hol33, Matthew Holt18, Masamitsu Iino34, Ksenia V. Kastanenka7, Helmut Kettenmann35, Baljit S. Khakh36, Schuichi Koizumi37, C. Justin Lee, Shane A. Liddelow38, Brian A. MacVicar39, Pierre J. Magistretti8, Pierre J. Magistretti40, Albee Messing41, Anusha Mishra24, Anna V. Molofsky42, Keith K. Murai43, Christopher M. Norris44, Seiji Okada45, Stéphane H. R. Oliet46, João Filipe Oliveira47, João Filipe Oliveira48, Aude Panatier46, Vladimir Parpura49, Marcela Pekna50, Milos Pekny50, Luc Pellerin51, Gertrudis Perea52, Beatriz G. Pérez-Nievas53, Frank W. Pfrieger54, Kira E. Poskanzer42, Francisco J. Quintana7, Richard M. Ransohoff, Miriam Riquelme-Perez1, Stefanie Robel55, Christine R. Rose56, Jeffrey D. Rothstein16, Nathalie Rouach19, David H. Rowitch3, Alexey Semyanov57, Alexey Semyanov58, Swetlana Sirko29, Harald Sontheimer55, Raymond A. Swanson42, Javier Vitorica59, Ina B. Wanner36, Levi B. Wood60, Jia Qian Wu61, Binhai Zheng62, Eduardo R. Zimmer63, Robert Zorec64, Michael V. Sofroniew36, Alexei Verkhratsky65, Alexei Verkhratsky66 
Université Paris-Saclay1, Autonomous University of Barcelona2, University of Cambridge3, National Institute for Occupational Safety and Health4, University of Bonn5, German Center for Neurodegenerative Diseases6, Harvard University7, University of Lausanne8, University of Padua9, National Research Council10, Heidelberg University11, Salk Institute for Biological Studies12, University of Minnesota13, Pasteur Institute14, Tel Aviv University15, Johns Hopkins University16, University of Portsmouth17, Katholieke Universiteit Leuven18, PSL Research University19, Trinity College, Dublin20, Baylor College of Medicine21, University College London22, University of Edinburgh23, Oregon Health & Science University24, National Institutes of Health25, Columbia University26, University of Rochester27, University of Copenhagen28, Ludwig Maximilian University of Munich29, University of Málaga30, Tufts University31, University of Freiburg32, Utrecht University33, Nihon University34, Max Delbrück Center for Molecular Medicine35, University of California, Los Angeles36, University of Yamanashi37, New York University38, University of British Columbia39, King Abdullah University of Science and Technology40, University of Wisconsin-Madison41, University of California, San Francisco42, McGill University43, University of Kentucky44, Kyushu University45, University of Bordeaux46, Polytechnic Institute of Cávado and Ave47, University of Minho48, University of Alabama at Birmingham49, University of Gothenburg50, University of Poitiers51, Cajal Institute52, King's College London53, University of Strasbourg54, Virginia Tech55, University of Düsseldorf56, I.M. Sechenov First Moscow State Medical University57, Russian Academy of Sciences58, University of Seville59, Georgia Institute of Technology60, University of Texas Health Science Center at Houston61, University of California, San Diego62, Universidade Federal do Rio Grande do Sul63, University of Ljubljana64, University of Manchester65, Ikerbasque66
TL;DR: In this article, the authors point out the shortcomings of binary divisions of reactive astrocytes into good-vs-bad, neurotoxic vs-neuroprotective or A1-vs.A2.
Abstract: Reactive astrocytes are astrocytes undergoing morphological, molecular, and functional remodeling in response to injury, disease, or infection of the CNS. Although this remodeling was first described over a century ago, uncertainties and controversies remain regarding the contribution of reactive astrocytes to CNS diseases, repair, and aging. It is also unclear whether fixed categories of reactive astrocytes exist and, if so, how to identify them. We point out the shortcomings of binary divisions of reactive astrocytes into good-vs-bad, neurotoxic-vs-neuroprotective or A1-vs-A2. We advocate, instead, that research on reactive astrocytes include assessment of multiple molecular and functional parameters-preferably in vivo-plus multivariate statistics and determination of impact on pathological hallmarks in relevant models. These guidelines may spur the discovery of astrocyte-based biomarkers as well as astrocyte-targeting therapies that abrogate detrimental actions of reactive astrocytes, potentiate their neuro- and glioprotective actions, and restore or augment their homeostatic, modulatory, and defensive functions.

797 citations

Journal ArticleDOI
TL;DR: The AquaCrop model was developed to replace the former FAO I&D Paper 33 procedures for the estimation of crop productivity in relation to water supply and agronomic management in a framework based on current plant physiological and soil water budgeting concepts as discussed by the authors.
Abstract: The AquaCrop model was developed to replace the former FAO I&D Paper 33 procedures for the estimation of crop productivity in relation to water supply and agronomic management in a framework based on current plant physiological and soil water budgeting concepts This paper presents the software of AquaCrop for which the concepts and underlying principles are described in the companion paper (Steduto et al, 2009) Input consists of weather data, crop characteristics, and soil and management characteristics that define the environment in which the crop will develop Algorithms and calculation procedures modeling the infiltration of water, the drainage out of the root zone, the canopy and root zone development, the evaporation and transpiration rate, the biomass production, and the yield formation are presented The mechanisms of crop response to cope with water shortage are described by only a few parameters, making the underlying processes more transparent to the user AquaCrop is a menu-driven program with a well-developed user interface With the help of graphs which are updated each time step (1 d) during the simulation run, the user can track changes in soil water content, and the corresponding changes in crop development, soil evaporation and transpiration rate, biomass production, and yield development One can halt the simulation at each time step, to study the effect of changes in water related inputs, making the model particularly suitable for developing deficit irrigation strategies and scenario analysis

795 citations

Journal ArticleDOI
TL;DR: The data indicate that defects in NMDAR postsynaptic signalling and, possibly, ARC complexes, which are known to be important in synaptic plasticity and cognition, play a significant role in the pathogenesis of schizophrenia.
Abstract: A small number of rare, recurrent genomic copy number variants (CNVs) are known to substantially increase susceptibility to schizophrenia. As a consequence of the low fecundity in people with schizophrenia and other neurodevelopmental phenotypes to which these CNVs contribute, CNVs with large effects on risk are likely to be rapidly removed from the population by natural selection. Accordingly, such CNVs must frequently occur as recurrent de novo mutations. In a sample of 662 schizophrenia proband–parent trios, we found that rare de novo CNV mutations were significantly more frequent in cases (5.1% all cases, 5.5% family history negative) compared with 2.2% among 2623 controls, confirming the involvement of de novo CNVs in the pathogenesis of schizophrenia. Eight de novo CNVs occurred at four known schizophrenia loci (3q29, 15q11.2, 15q13.3 and 16p11.2). De novo CNVs of known pathogenic significance in other genomic disorders were also observed, including deletion at the TAR (thrombocytopenia absent radius) region on 1q21.1 and duplication at the WBS (Williams– Beuren syndrome) region at 7q11.23. Multiple de novos spanned genes encoding members of the DLG (discs large) family of membrane-associated guanylate kinases (MAGUKs) that are components of the postsynaptic density (PSD). Two de novos also affected EHMT1, a histone methyl transferase known to directly regulate DLG family members. Using a systems biology approach and merging novel CNV and proteomics data sets, systematic analysis of synaptic protein complexes showed that, compared with control CNVs, case de novos were significantly enriched for the PSD proteome (P=1.72 � 10 � 6 ). This was largely explained by enrichment for members of the N-methyl-D-aspartate receptor (NMDAR) (P=4.24 � 10 � 6 ) and neuronal activity-regulated cytoskeleton-associated protein (ARC) (P=3.78 � 10 � 8 ) postsynaptic signalling complexes. In an analysis of 18492 subjects (7907 cases and 10585 controls), case CNVs were enriched for members of the NMDAR complex (P=0.0015) but not ARC (P=0.14). Our data indicate that defects in NMDAR postsynaptic signalling and, possibly, ARC complexes, which are known to be important in synaptic plasticity and cognition, play a significant role in the pathogenesis of schizophrenia. Molecular Psychiatry (2012) 17, 142–153; doi:10.1038/mp.2011.154; published online 15 November 2011

795 citations

Book ChapterDOI
14 Apr 2002
TL;DR: An information theoretic model that allows to quantify the degree of anonymity provided by schemes for anonymous connections is introduced, which is based on the probabilities an attacker, after observing the system, assigns to the different users of the system as being the originators of a message.
Abstract: This paper introduces an information theoretic model that allows to quantify the degree of anonymity provided by schemes for anonymous connections. It considers attackers that obtain probabilistic information about users. The degree is based on the probabilities an attacker, after observing the system, assigns to the different users of the system as being the originators of a message. As a proof of concept, the model is applied to some existing systems. The model is shown to be very useful for evaluating the level of privacy a system provides under various attack scenarios, for measuring the amount of information an attacker gets with a particular attack and for comparing different systems amongst each other.

794 citations

MonographDOI
01 Nov 2011
TL;DR: In this paper, the authors introduce colloid science and rheology, and present an overview of colloid physics and its applications in viscoelastic media. But they do not discuss the role of non-spherical particles.
Abstract: 1. Introduction to colloid science and rheology 2. Hydrodynamic effects 3. Brownian hard spheres 4. Stable colloidal suspensions 5. Non-spherical particles 6. Weakly flocculated suspensions 7. Thixotropy 8. Shear thickening 9. Rheometry of suspensions 10. Suspensions in viscoelastic media 11. Advanced topics.

792 citations


Authors

Showing all 61602 results

NameH-indexPapersCitations
Eugene Braunwald2301711264576
Joseph L. Goldstein207556149527
Rakesh K. Jain2001467177727
Stefan Schreiber1781233138528
Masayuki Yamamoto1711576123028
Jun Wang1661093141621
David R. Jacobs1651262113892
Klaus Müllen1642125140748
Peter Carmeliet164844122918
Hua Zhang1631503116769
William J. Sandborn1621317108564
Elliott M. Antman161716179462
Tobin J. Marks1591621111604
Ian A. Wilson15897198221
Johan Auwerx15865395779
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023307
2022857
202111,007
202010,541
20199,719
20189,532