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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
TL;DR: Comparisons in both cohorts showed a significant association between higher genomic copy number for β-defensin genes and risk of psoriasis.
Abstract: Psoriasis is a common inflammatory skin disease with a strong genetic component. We analyzed the genomic copy number polymorphism of the beta-defensin region on human chromosome 8 in 179 Dutch individuals with psoriasis and 272 controls and in 319 German individuals with psoriasis and 305 controls. Comparisons in both cohorts showed a significant association between higher genomic copy number for beta-defensin genes and risk of psoriasis.

599 citations

Journal ArticleDOI
TL;DR: In this article, the authors summarize data that demonstrate a prominent role of NOS2/NO also during innate immunity during the early phase of infection with the intracellular pathogen Leishmania major, focally expressed NOS 2/NO not only exerts antimicrobial activities but also controls the function of natural killer cells and the expression of cytokines such as IFNgamma or transforming growth factor-beta.
Abstract: Type 2 nitric oxide synthase (iNOS or NOS2) was originally described as an enzyme that is expressed in activated macrophages, generates nitric oxide (NO) from the amino acid L-arginine, and thereby contributes to the control of replication or killing of intracellular microbial pathogens. Since interferon (IFN)-gamma is the key cytokine for the induction of NOS2 in macrophages and the prototypic product of type 1 T-helper cells, high-level expression of NOS2 has been regarded to be mostly restricted to the adaptive phase of the immune response. In this review, we summarize data that demonstrate a prominent role of NOS2/NO also during innate immunity. During the early phase of infection with the intracellular pathogen Leishmania major, focally expressed NOS2/NO not only exerts antimicrobial activities but also controls the function of natural killer cells and the expression of cytokines such as IFN-gamma or transforming growth factor-beta. Some of these effects result from the function of NOS2/NO as an indispensable co-factor for the activation of Tyk2 kinase and, thus, for interleukin-12 and IFN-alpha/beta signaling in natural killer cells.

598 citations

Journal ArticleDOI
TL;DR: The structure of graphene and graphene oxide is described and the most important synthetic methods used for the production of these carbon-based nanomaterials are outlined and the state-of-the-art for their chemical functionalization by noncovalent and covalent approaches are summarized.
Abstract: The chemical production of graphene as well as its controlled wet- chemical modification is a challenge for synthetic chemists and the characterization of reaction products requires sophisticated analytic methods. In this review we first describe the structure of graphene and graphene oxide. We then outline the most important synthetic methods which are used for the production of these carbon based nanomaterials. We summarize the state-of-the-art for their chemical functionalization by non-covalent and covalent approaches. We put special emphasis on the differentiation of the terms graphite, graphene, graphite oxide and graphene oxide. An improved fundamental knowledge about the structure and the chemical properties of graphene and graphene oxide is an important prerequisite for the development of practical applications.

598 citations

Journal ArticleDOI
TL;DR: It is suggested that autoantibody formation in response to citrullinated vimentin directly induces bone loss, providing a link between the adaptive immune system and bone.
Abstract: Autoimmunity is complicated by bone loss. In human rheumatoid arthritis (RA), the most severe inflammatory joint disease, autoantibodies against citrullinated proteins are among the strongest risk factors for bone destruction. We therefore hypothesized that these autoantibodies directly influence bone metabolism. Here, we found a strong and specific association between autoantibodies against citrullinated proteins and serum markers for osteoclast-mediated bone resorption in RA patients. Moreover, human osteoclasts expressed enzymes eliciting protein citrullination, and specific N-terminal citrullination of vimentin was induced during osteoclast differentiation. Affinity-purified human autoantibodies against mutated citrullinated vimentin (MCV) not only bound to osteoclast surfaces, but also led to robust induction of osteoclastogenesis and bone-resorptive activity. Adoptive transfer of purified human MCV autoantibodies into mice induced osteopenia and increased osteoclastogenesis. This effect was based on the inducible release of TNF-α from osteoclast precursors and the subsequent increase of osteoclast precursor cell numbers with enhanced expression of activation and growth factor receptors. Our data thus suggest that autoantibody formation in response to citrullinated vimentin directly induces bone loss, providing a link between the adaptive immune system and bone.

598 citations

Journal ArticleDOI
TL;DR: The transferability of the approach is demonstrated, using semiempirical quantum chemistry and machine learning models trained on 1 and 10% of 134k organic molecules, to reproduce enthalpies of all remaining molecules at density functional theory level of accuracy.
Abstract: Chemically accurate and comprehensive studies of the virtual space of all possible molecules are severely limited by the computational cost of quantum chemistry. We introduce a composite strategy that adds machine learning corrections to computationally inexpensive approximate legacy quantum methods. After training, highly accurate predictions of enthalpies, free energies, entropies, and electron correlation energies are possible, for significantly larger molecular sets than used for training. For thermochemical properties of up to 16k isomers of C7H10O2 we present numerical evidence that chemical accuracy can be reached. We also predict electron correlation energy in post Hartree-Fock methods, at the computational cost of Hartree-Fock, and we establish a qualitative relationship between molecular entropy and electron correlation. The transferability of our approach is demonstrated, using semiempirical quantum chemistry and machine learning models trained on 1 and 10% of 134k organic molecules, to reproduce enthalpies of all remaining molecules at density functional theory level of accuracy.

595 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