Institution
University of Düsseldorf
Education•Düsseldorf, 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.
Topics: Population, Diabetes mellitus, Transplantation, Gene, Medicine
Papers published on a yearly basis
Papers
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TL;DR: This article serves as introduction to the FRBM Forum on glutathione and emphasizes cellular functions: What is GSH?
1,607 citations
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TL;DR: Using a simple method based on Cre/lox recombination to detect cell fusion events, it is demonstrated that bone-marrow-derived cells (BMDCs) fuse spontaneously with neural progenitors in vitro, raising the possibility that cell fusion may contribute to the development or maintenance of these key cell types.
Abstract: Recent studies have suggested that bone marrow cells possess a broad differentiation potential, being able to form new liver cells, cardiomyocytes and neurons1,2. Several groups have attributed this apparent plasticity to ‘transdifferentiation’3,4,5. Others, however, have suggested that cell fusion could explain these results6,7,8,9. Using a simple method based on Cre/lox recombination to detect cell fusion events, we demonstrate that bone-marrow-derived cells (BMDCs) fuse spontaneously with neural progenitors in vitro. Furthermore, bone marrow transplantation demonstrates that BMDCs fuse in vivo with hepatocytes in liver, Purkinje neurons in the brain and cardiac muscle in the heart, resulting in the formation of multinucleated cells. No evidence of transdifferentiation without fusion was observed in these tissues. These observations provide the first in vivo evidence for cell fusion of BMDCs with neurons and cardiomyocytes, raising the possibility that cell fusion may contribute to the development or maintenance of these key cell types.
1,600 citations
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TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.
Abstract: Cancer is driven by genetic change, and the advent of massively parallel sequencing has enabled systematic documentation of this variation at the whole-genome scale1,2,3. Here we report the integrative analysis of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types from the Pan-Cancer Analysis of Whole Genomes (PCAWG) Consortium of the International Cancer Genome Consortium (ICGC) and The Cancer Genome Atlas (TCGA). We describe the generation of the PCAWG resource, facilitated by international data sharing using compute clouds. On average, cancer genomes contained 4–5 driver mutations when combining coding and non-coding genomic elements; however, in around 5% of cases no drivers were identified, suggesting that cancer driver discovery is not yet complete. Chromothripsis, in which many clustered structural variants arise in a single catastrophic event, is frequently an early event in tumour evolution; in acral melanoma, for example, these events precede most somatic point mutations and affect several cancer-associated genes simultaneously. Cancers with abnormal telomere maintenance often originate from tissues with low replicative activity and show several mechanisms of preventing telomere attrition to critical levels. Common and rare germline variants affect patterns of somatic mutation, including point mutations, structural variants and somatic retrotransposition. A collection of papers from the PCAWG Consortium describes non-coding mutations that drive cancer beyond those in the TERT promoter4; identifies new signatures of mutational processes that cause base substitutions, small insertions and deletions and structural variation5,6; analyses timings and patterns of tumour evolution7; describes the diverse transcriptional consequences of somatic mutation on splicing, expression levels, fusion genes and promoter activity8,9; and evaluates a range of more-specialized features of cancer genomes8,10,11,12,13,14,15,16,17,18.
1,600 citations
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TL;DR: The results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data.
Abstract: A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers the possibility of in vivo human cortical parcellation. Almost all previous parcellations relied on 1 of 2 approaches. The local gradient approach detects abrupt transitions in functional connectivity patterns. These transitions potentially reflect cortical areal boundaries defined by histology or visuotopic fMRI. By contrast, the global similarity approach clusters similar functional connectivity patterns regardless of spatial proximity, resulting in parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and global similarity approaches. Using task-fMRI and rs-fMRI across diverse acquisition protocols, we found gwMRF parcellations to be more homogeneous than 4 previously published parcellations. Furthermore, gwMRF parcellations agreed with the boundaries of certain cortical areas defined using histology and visuotopic fMRI. Some parcels captured subareal (somatotopic and visuotopic) features that likely reflect distinct computational units within known cortical areas. These results suggest that gwMRF parcellations reveal neurobiologically meaningful features of brain organization and are potentially useful for future applications requiring dimensionality reduction of voxel-wise fMRI data. Multiresolution parcellations generated from 1489 participants are publicly available (https://github.com/ThomasYeoLab/CBIG/tree/master/stable_projects/brain_parcellation/Schaefer2018_LocalGlobal).
1,567 citations
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German Cancer Research Center1, Heidelberg University2, McGill University3, Montreal Children's Hospital4, University of Düsseldorf5, University of Tübingen6, Virginia Commonwealth University7, Augsburg College8, Boston Children's Hospital9, University of Colorado Denver10, Cincinnati Children's Hospital Medical Center11, University of Würzburg12, Martin Luther University of Halle-Wittenberg13, Hannover Medical School14, Medical University of Łódź15, Memorial Hospital of South Bend16, Semmelweis University17, University of Debrecen18, University of Toronto19, University of Amsterdam20, Henry Ford Health System21, University of Texas MD Anderson Cancer Center22, University of Cambridge23
TL;DR: It is demonstrated that each H3F3A mutation defines an epigenetic subgroup of GBM with a distinct global methylation pattern, and that they are mutually exclusive with IDH1 mutations, which characterize a third mutation-defined subgroup.
1,557 citations
Authors
Showing all 25575 results
Name | H-index | Papers | Citations |
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Karl J. Friston | 217 | 1267 | 217169 |
Roderick T. Bronson | 169 | 679 | 107702 |
Stanley B. Prusiner | 168 | 745 | 97528 |
Ralph A. DeFronzo | 160 | 759 | 132993 |
Monique M.B. Breteler | 159 | 546 | 93762 |
Thomas Meitinger | 155 | 716 | 108491 |
Karl Zilles | 138 | 692 | 72733 |
Ruben C. Gur | 136 | 741 | 61312 |
Alexis Brice | 135 | 870 | 83466 |
Michael Schmitt | 134 | 2007 | 114667 |
Michael Weller | 134 | 1105 | 91874 |
Helmut Sies | 133 | 670 | 78319 |
Peter T. Fox | 131 | 622 | 83369 |
Yuri S. Kivshar | 126 | 1845 | 79415 |
Markus M. Nöthen | 125 | 943 | 83156 |