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Institution

University of Erlangen-Nuremberg

EducationErlangen, 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.


Papers
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Journal ArticleDOI
29 Apr 2021-Cell
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

Journal ArticleDOI
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

Book ChapterDOI
01 Jan 1997
TL;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

Journal ArticleDOI
19 Oct 2012-Immunity
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

Proceedings ArticleDOI
24 Jul 1998
TL;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

NameH-indexPapersCitations
Hermann Brenner1511765145655
Richard B. Devereux144962116403
Manfred Paulini1411791110930
Daniel S. Berman141136386136
Peter Lang140113698592
Joseph Sodroski13854277070
Richard J. Johnson13788072201
Jun Lu135152699767
Michael Schmitt1342007114667
Jost B. Jonas1321158166510
Andreas Mussgiller127105973778
Matthew J. Budoff125144968115
Stefan Funk12550656955
Markus F. Neurath12493462376
Jean-Marie Lehn123105484616
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023208
2022660
20215,162
20204,911
20194,593
20184,374