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Institution

University of Düsseldorf

EducationDüsseldorf, Germany
About: University of Düsseldorf is a education organization based out in Düsseldorf, Germany. It is known for research contribution in the topics: Population & Diabetes mellitus. The organization has 25225 authors who have published 49155 publications receiving 1946434 citations.


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Journal ArticleDOI
21 Sep 2006-Neuron
TL;DR: It is shown that deletion mutant mice lacking neuroligin expression die shortly after birth due to respiratory failure, and that neuroligins are required for proper synapse maturation and brain function, but not for the initial formation of synaptic contacts.

781 citations

Journal ArticleDOI
10 Aug 2006-Nature
TL;DR: A novel innate immune pathway is defined and it is indicated that evolutionarily distinct ITAM receptors in innate and adaptive immune cells use diverse adaptor proteins to engage selectively the conserved Bcl10–Malt1 module.
Abstract: Fungal infections are increasing worldwide due to the marked rise in immunodeficiencies including AIDS; however, immune responses to fungi are poorly understood. Dectin-1 is the major mammalian pattern recognition receptor for the fungal component zymosan. Dectin-1 represents the prototype of innate non-Toll-like receptors (TLRs) containing immunoreceptor tyrosine-based activation motifs (ITAMs) related to those of adaptive antigen receptors. Here we identify Card9 as a key transducer of Dectin-1 signalling. Although being dispensable for TLR/MyD88-induced responses, Card9 controls Dectin-1-mediated myeloid cell activation, cytokine production and innate anti-fungal immunity. Card9 couples to Bcl10 and regulates Bcl10-Malt1-mediated NF-kappaB activation induced by zymosan. Yet, Card9 is dispensable for antigen receptor signalling that uses Carma1 as a link to Bcl10-Malt1. Thus, our results define a novel innate immune pathway and indicate that evolutionarily distinct ITAM receptors in innate and adaptive immune cells use diverse adaptor proteins to engage selectively the conserved Bcl10-Malt1 module.

779 citations

Journal ArticleDOI
David T.W. Jones1, Natalie Jäger1, Marcel Kool1, Thomas Zichner2, Barbara Hutter1, Marc Sultan3, Yoon Jae Cho4, Trevor J. Pugh5, Volker Hovestadt1, Adrian M. Stütz2, Tobias Rausch2, Hans-Jörg Warnatz3, Marina Ryzhova, Sebastian Bender1, Dominik Sturm1, Sabrina Pleier1, Huriye Cin1, Elke Pfaff1, Laura Sieber1, Andrea Wittmann1, Marc Remke1, Hendrik Witt1, Hendrik Witt6, Sonja Hutter1, Theophilos Tzaridis1, Joachim Weischenfeldt2, Benjamin Raeder2, Meryem Avci3, Vyacheslav Amstislavskiy3, Marc Zapatka1, Ursula D. Weber1, Qi Wang1, Bärbel Lasitschka1, Cynthia C. Bartholomae1, Manfred Schmidt1, Christof von Kalle1, Volker Ast1, Chris Lawerenz1, Jürgen Eils1, Rolf Kabbe1, Vladimir Benes2, Peter van Sluis7, Jan Koster7, Richard Volckmann7, David Shih, Matthew J. Betts6, Robert B. Russell6, Simona Coco, Gian Paolo Tonini, Ulrich Schüller8, Volkmar Hans, Norbert Graf9, Yoo-Jin Kim9, Camelia M. Monoranu, Wolfgang Roggendorf, Andreas Unterberg6, Christel Herold-Mende6, Till Milde1, Till Milde6, Andreas E. Kulozik6, Andreas von Deimling6, Andreas von Deimling1, Olaf Witt6, Olaf Witt1, Eberhard Maass, Jochen Rössler, Martin Ebinger, Martin U. Schuhmann, Michael C. Frühwald10, Martin Hasselblatt, Nada Jabado11, Stefan Rutkowski12, André O. von Bueren12, Daniel Williamson13, Steven C. Clifford13, Martin G. McCabe14, Martin G. McCabe15, V. Peter Collins15, Stephan Wolf1, Stefan Wiemann1, Hans Lehrach3, Benedikt Brors1, Wolfram Scheurlen10, Jörg Felsberg16, Guido Reifenberger16, Paul A. Northcott, Michael D. Taylor, Matthew Meyerson5, Matthew Meyerson17, Scott L. Pomeroy10, Scott L. Pomeroy5, Marie-Laure Yaspo3, Jan O. Korbel2, Andrey Korshunov1, Andrey Korshunov6, Roland Eils6, Roland Eils1, Stefan M. Pfister6, Stefan M. Pfister1, Peter Lichter1 
02 Aug 2012-Nature
TL;DR: An integrative deep-sequencing analysis of 125 tumour–normal pairs enhances the understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provides several potential targets for new therapeutics, especially for Group 3 and 4 patients.
Abstract: Medulloblastoma is an aggressively growing tumour, arising in the cerebellum or medulla/brain stem. It is the most common malignant brain tumour in children, and shows tremendous biological and clinical heterogeneity. Despite recent treatment advances, approximately 40% of children experience tumour recurrence, and 30% will die from their disease. Those who survive often have a significantly reduced quality of life. Four tumour subgroups with distinct clinical, biological and genetic profiles are currently identified. WNT tumours, showing activated wingless pathway signalling, carry a favourable prognosis under current treatment regimens. SHH tumours show hedgehog pathway activation, and have an intermediate prognosis. Group 3 and 4 tumours are molecularly less well characterized, and also present the greatest clinical challenges. The full repertoire of genetic events driving this distinction, however, remains unclear. Here we describe an integrative deep-sequencing analysis of 125 tumour-normal pairs, conducted as part of the International Cancer Genome Consortium (ICGC) PedBrain Tumor Project. Tetraploidy was identified as a frequent early event in Group 3 and 4 tumours, and a positive correlation between patient age and mutation rate was observed. Several recurrent mutations were identified, both in known medulloblastoma-related genes (CTNNB1, PTCH1, MLL2, SMARCA4) and in genes not previously linked to this tumour (DDX3X, CTDNEP1, KDM6A, TBR1), often in subgroup-specific patterns. RNA sequencing confirmed these alterations, and revealed the expression of what are, to our knowledge, the first medulloblastoma fusion genes identified. Chromatin modifiers were frequently altered across all subgroups. These findings enhance our understanding of the genomic complexity and heterogeneity underlying medulloblastoma, and provide several potential targets for new therapeutics, especially for Group 3 and 4 patients.

775 citations

Journal ArticleDOI
28 Sep 2016
TL;DR: Evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors is strengthened and estimates that incorporate information on blood cell counts lead to highly significant associations with all- Cause mortality are demonstrated.
Abstract: Estimates of biological age based on DNA methylation patterns, often referred to as "epigenetic age", "DNAm age", have been shown to be robust biomarkers of age in humans. We previously demonstrated that independent of chronological age, epigenetic age assessed in blood predicted all-cause mortality in four human cohorts. Here, we expanded our original observation to 13 different cohorts for a total sample size of 13,089 individuals, including three racial/ethnic groups. In addition, we examined whether incorporating information on blood cell composition into the epigenetic age metrics improves their predictive power for mortality. All considered measures of epigenetic age acceleration were predictive of mortality (p≤8.2x10-9), independent of chronological age, even after adjusting for additional risk factors (p<5.4x10-4), and within the racial/ethnic groups that we examined (non-Hispanic whites, Hispanics, African Americans). Epigenetic age estimates that incorporated information on blood cell composition led to the smallest p-values for time to death (p=7.5x10-43). Overall, this study a) strengthens the evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors, and b) demonstrates that epigenetic age estimates that incorporate information on blood cell counts lead to highly significant associations with all-cause mortality.

775 citations

Journal ArticleDOI
TL;DR: The European Association for Neuro-Oncology guideline provides recommendations for the clinical care of adult patients with astrocytic and oligodendroglial gliomas, including glioblastomas, based on the 2016 WHO classification of tumours of the central nervous system and on scientific developments since the 2014 guideline.
Abstract: The European Association for Neuro-Oncology guideline provides recommendations for the clinical care of adult patients with astrocytic and oligodendroglial gliomas, including glioblastomas. The guideline is based on the 2016 WHO classification of tumours of the central nervous system and on scientific developments since the 2014 guideline. The recommendations focus on pathological and radiological diagnostics, and the main treatment modalities of surgery, radiotherapy, and pharmacotherapy. In this guideline we have also integrated the results from contemporary clinical trials that have changed clinical practice. The guideline aims to provide guidance for diagnostic and management decisions, while limiting unnecessary treatments and costs. The recommendations are a resource for professionals involved in the management of patients with glioma, for patients and caregivers, and for health-care providers in Europe. The implementation of this guideline requires multidisciplinary structures of care, and defined processes of diagnosis and treatment.

773 citations


Authors

Showing all 25575 results

NameH-indexPapersCitations
Karl J. Friston2171267217169
Roderick T. Bronson169679107702
Stanley B. Prusiner16874597528
Ralph A. DeFronzo160759132993
Monique M.B. Breteler15954693762
Thomas Meitinger155716108491
Karl Zilles13869272733
Ruben C. Gur13674161312
Alexis Brice13587083466
Michael Schmitt1342007114667
Michael Weller134110591874
Helmut Sies13367078319
Peter T. Fox13162283369
Yuri S. Kivshar126184579415
Markus M. Nöthen12594383156
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023139
2022470
20213,130
20202,721
20192,507
20182,439