Institution
University of Erlangen-Nuremberg
Education•Erlangen, Bayern, Germany•
About: University of Erlangen-Nuremberg is a education organization based out in Erlangen, Bayern, Germany. It is known for research contribution in the topics: Population & Immune system. The organization has 42405 authors who have published 85600 publications receiving 2663922 citations.
Topics: Population, Immune system, Breast cancer, Catalysis, Transplantation
Papers published on a yearly basis
Papers
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TL;DR: In this article, the authors show that SARS-CoV-2/COVID-19 variants B.1.7 (UK), B.351 (South Africa), and P.1 (Brazil) harbor mutations in the viral spike (S) protein that may alter virus-host cell interactions and confer resistance to inhibitors and antibodies.
754 citations
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Max Planck Society1, University of Salamanca2, University of Kentucky3, Centraalbureau voor Schimmelcultures4, University of California, Davis5, Agricultural Research Organization, Volcani Center6, University of Cologne7, Broad Institute8, GATC Biotech9, Seoul National University10, United States Department of Agriculture11, DuPont Pioneer12, University of Massachusetts Amherst13, Centre national de la recherche scientifique14, Texas A&M University15, University of Erlangen-Nuremberg16, Kyoto Prefectural University17, Institut national de la recherche agronomique18, West Virginia University19, RWTH Aachen University20, University of Wisconsin-Madison21, National Center for Agricultural Utilization Research22, University of Florida23, Michigan State University24, Kyoto University25
TL;DR: Findings show that preinvasion perception of plant-derived signals substantially reprograms fungal gene expression and indicate previously unknown functions for particular fungal cell types.
Abstract: Colletotrichum species are fungal pathogens that devastate crop plants worldwide. Host infection involves the differentiation of specialized cell types that are associated with penetration, growth inside living host cells (biotrophy) and tissue destruction (necrotrophy). We report here genome and transcriptome analyses of Colletotrichum higginsianum infecting Arabidopsis thaliana and Colletotrichum graminicola infecting maize. Comparative genomics showed that both fungi have large sets of pathogenicity-related genes, but families of genes encoding secreted effectors, pectin-degrading enzymes, secondary metabolism enzymes, transporters and peptidases are expanded in C. higginsianum. Genome-wide expression profiling revealed that these genes are transcribed in successive waves that are linked to pathogenic transitions: effectors and secondary metabolism enzymes are induced before penetration and during biotrophy, whereas most hydrolases and transporters are upregulated later, at the switch to necrotrophy. Our findings show that preinvasion perception of plant-derived signals substantially reprograms fungal gene expression and indicate previously unknown functions for particular fungal cell types.
753 citations
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01 Jan 1997TL;DR: In this article, Caux et al. introduced the approach to grow dendritic cells from rare CD34+ progenitor cells in (cord) blood using GM-CSF and TNFα as the critical cytokines.
Abstract: Efficient methods to generate large numbers of dendritic cells have been developed in the past five years. Caux et al.1 have introduced the approach to grow dendritic cells from rare CD34+ progenitor cells in (cord) blood using GM-CSF and TNF-α as the critical cytokines. On the other hand, Sallusto et al.2 and Romani et al.3 have established procedures that make use of the more abundant monocytic CD34-negative and CD14+precursors in peripheral blood. GM-CSF and IL-4 were the necessary cytokines. Both approaches have since been widely used, even up to the stage of clinical trials.
750 citations
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TL;DR: It is demonstrated that GATA-3 is essential for ILC2 fate decisions and similarities between the transcriptional programs controlling ILC and T helper cell fates are revealed.
750 citations
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24 Jul 1998TL;DR: In this article, the authors generalize powerful multiresolution techniques to arbitrary triangle meshes without requiring subdivision connectivity, and propose a flexible and intuitive paradigm for interactive detail-preserving mesh modification.
Abstract: During the last years the concept of multi-resolution modeling has gained special attention in many fields of computer graphics and geometric modeling. In this paper we generalize powerful multiresolution techniques to arbitrary triangle meshes without requiring subdivision connectivity. Our major observation is that the hierarchy of nested spaces which is the structural core element of most multi-resolution algorithms can be replaced by the sequence of intermediate meshes emerging from the application of incremental mesh decimation. Performing such schemes with local frame coding of the detail coefficients already provides effective and efficient algorithms to extract multi-resolution information from unstructured meshes. In combination with discrete fairing techniques, i.e., the constrained minimization of discrete energy functionals, we obtain very fast mesh smoothing algorithms which are able to reduce noise from a geometrically specified frequency band in a multiresolution decomposition. Putting mesh hierarchies, local frame coding and multi-level smoothing together allows us to propose a flexible and intuitive paradigm for interactive detail-preserving mesh modification. We show examples generated by our mesh modeling tool implementation to demonstrate its functionality.
749 citations
Authors
Showing all 42831 results
Name | H-index | Papers | Citations |
---|---|---|---|
Hermann Brenner | 151 | 1765 | 145655 |
Richard B. Devereux | 144 | 962 | 116403 |
Manfred Paulini | 141 | 1791 | 110930 |
Daniel S. Berman | 141 | 1363 | 86136 |
Peter Lang | 140 | 1136 | 98592 |
Joseph Sodroski | 138 | 542 | 77070 |
Richard J. Johnson | 137 | 880 | 72201 |
Jun Lu | 135 | 1526 | 99767 |
Michael Schmitt | 134 | 2007 | 114667 |
Jost B. Jonas | 132 | 1158 | 166510 |
Andreas Mussgiller | 127 | 1059 | 73778 |
Matthew J. Budoff | 125 | 1449 | 68115 |
Stefan Funk | 125 | 506 | 56955 |
Markus F. Neurath | 124 | 934 | 62376 |
Jean-Marie Lehn | 123 | 1054 | 84616 |