Institution
University of Münster
Education•Münster, Germany•
About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Catalysis. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.
Topics: Population, Catalysis, Transplantation, Gene, Crystal structure
Papers published on a yearly basis
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TL;DR: An even simpler mechanistic picture of the basic activation step that emphasizes on the polarization of H2 induced by the electric field of the FLP inside its cavity is presented, which can explain important (and hitherto unclear) experimental findings.
Abstract: ("Figure Presented") A new picture of H2 activation is given by state-of-the-art quantum chemical calculations of potential energy surfaces and transition states and a thorough theoretical analysis. Key factors for activation of H2 and other small molecules by so-called frustrated Lewis pairs (FLP) are entrance (preparation) steps and the electric field strength inside the FLP cavity. © 2010 Wiley-VCH Verlag GmbH &. Co. KGaA,.
354 citations
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TL;DR: This model is the first validated scale of trust in news media in communication research and confirms the hypothesis that trust inNews media can be considered a hierarchical factor that consists of four lower order factors, includingTrust in the selectivity of topics, trust in theSelectivity of facts, Trust in the accuracy of depictions, and trust in journalistic assessment.
Abstract: The dimensions that individuals apply in evaluating the trustworthiness or credibility of news media bear great theoretical and practical relevance. In previous research, however, there is no standardized scale for the measurement of trust in news media. Thus, the purpose of this article is to present the development and validation of a multidimensional scale of trust in news media. A theoretically derived model is tested on a representative sample via confirmatory factor analysis. After some modifications, the model is then validated on another independent sample. These results confirm the hypothesis that trust in news media can be considered a hierarchical factor (of second order) that consists of four lower order factors, including trust in the selectivity of topics, trust in the selectivity of facts, trust in the accuracy of depictions, and trust in journalistic assessment. This model is the first validated scale of trust in news media in communication research.
354 citations
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University of Michigan1, Utrecht University2, Baylor College of Medicine3, University of California, San Diego4, Masaryk University5, Academy of Sciences of the Czech Republic6, Radboud University Nijmegen7, Genzyme8, University of Freiburg9, Newcastle University10, University of Cologne11, Harvard University12, Case Western Reserve University13, University of Texas Southwestern Medical Center14, University of Paris15, McGill University16, Istanbul University17, University of Strasbourg18, Indiana University19, University of Washington20, Duke University21, Hannover Medical School22, University of Münster23, University of California, Irvine24, St James's University Hospital25, Rockefeller University26, University of Southern Denmark27, Hebrew University of Jerusalem28, Howard Hughes Medical Institute29
TL;DR: It is shown that knockdown of CEP164 or ZNF423 causes sensitivity to DNA damaging agents and that cep164 knockdown in zebrafish results in dysregulated DDR and an NPHP-RC phenotype, and these findings link degenerative diseases of the kidney and retina, disorders of increasing prevalence, to mechanisms of DDR.
354 citations
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TL;DR: HET chorioallantoic membrane testing should and could not entirely replace current irritation tests in mammals, but it can diminish the number of investigations with mammals, as well as limit or eliminate pain and injury during animal experiments and allow regulators to set priority and toxicity categories.
354 citations
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TL;DR: In this article, small molecule neural precursor cells (smNPCs) have been used for high-throughput screening of neuroprotective compounds in a single HTS campaign, using only small molecules of human neural progenitor cells.
Abstract: Phenotypic drug discovery requires billions of cells for high-throughput screening (HTS) campaigns. Because up to several million different small molecules will be tested in a single HTS campaign, even small variability within the cell populations for screening could easily invalidate an entire campaign. Neurodegenerative assays are particularly challenging because neurons are post-mitotic and cannot be expanded for implementation in HTS. Therefore, HTS for neuroprotective compounds requires a cell type that is robustly expandable and able to differentiate into all of the neuronal subtypes involved in disease pathogenesis. Here, we report the derivation and propagation using only small molecules of human neural progenitor cells (small molecule neural precursor cells; smNPCs). smNPCs are robust, exhibit immortal expansion, and do not require cumbersome manual culture and selection steps. We demonstrate that smNPCs have the potential to clonally and efficiently differentiate into neural tube lineages, including motor neurons (MNs) and midbrain dopaminergic neurons (mDANs) as well as neural crest lineages, including peripheral neurons and mesenchymal cells. These properties are so far only matched by pluripotent stem cells. Finally, to demonstrate the usefulness of smNPCs we show that mDANs differentiated from smNPCs with LRRK2 G2019S are more susceptible to apoptosis in the presence of oxidative stress compared to wild-type. Therefore, smNPCs are a powerful biological tool with properties that are optimal for large-scale disease modeling, phenotypic screening, and studies of early human development.
353 citations
Authors
Showing all 36075 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hyun-Chul Kim | 176 | 4076 | 183227 |
Klaus Müllen | 164 | 2125 | 140748 |
Giacomo Bruno | 158 | 1687 | 124368 |
Anders M. Dale | 156 | 823 | 133891 |
Holger J. Schünemann | 141 | 810 | 113169 |
Joachim Heinrich | 136 | 1309 | 76887 |
Markus Merschmeyer | 132 | 1188 | 84975 |
Klaus Ley | 129 | 495 | 57964 |
Robert W. Mahley | 128 | 363 | 60774 |
Robert J. Kurman | 127 | 397 | 60277 |
Bart Barlogie | 126 | 779 | 57803 |
Thomas Schwarz | 123 | 701 | 54560 |
Carlos Caldas | 122 | 547 | 73840 |
Klaus Weber | 121 | 524 | 60346 |
Andrey L. Rogach | 117 | 576 | 46820 |