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 & Transplantation. The organization has 25225 authors who have published 49155 publications receiving 1946434 citations.
Topics: Population, Transplantation, Diabetes mellitus, Gene, Type 2 diabetes
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TL;DR: In this article, the human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs), and it is shown that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought.
Abstract: The human cerebral cortex is made up of a mosaic of structural areas, frequently referred to as Brodmann areas (BAs). Despite the widespread use of cortical folding patterns to perform ad hoc estimations of the locations of the BAs, little is understood regarding 1) how variable the position of a given BA is with respect to the folds, 2) whether the location of some BAs is more variable than others, and 3) whether the variability is related to the level of a BA in a putative cortical hierarchy. We use whole-brain histology of 10 postmortem human brains and surface-based analysis to test how well the folds predict the locations of the BAs. We show that higher order cortical areas exhibit more variability than primary and secondary areas and that the folds are much better predictors of the BAs than had been previously thought. These results further highlight the significance of cortical folding patterns and suggest a common mechanism for the development of the folds and the cytoarchitectonic fields.
726 citations
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J. Craig Venter Institute1, Stanford University2, International School for Advanced Studies3, Duke University4, Washington University in St. Louis5, Saint Louis University6, University of British Columbia7, Boston Children's Hospital8, University of Texas Health Science Center at San Antonio9, Pasteur Institute10, National Institutes of Health11, University of Düsseldorf12, Connecticut Agricultural Experiment Station13, Boston University14, University of California, Santa Cruz15
TL;DR: Comparison of two phenotypically distinct strains reveals variation in gene content in addition to sequence polymorphisms between the genomes, and the genome is rich in transposons, many of which cluster at candidate centromeric regions.
Abstract: Cryptococcus neoformans is a basidionnycetous yeast ubiquitous in the environment, a model for fungal pathogenesis, and an opportunistic human pathogen of global importance. We have sequenced its similar to20-megabase genome, which contains similar to6500 intron-rich gene structures and encodes a transcriptome abundant in alternatively spliced and antisense messages. The genome is rich in transposons, many of which cluster at candidate centromeric regions. The presence of these transposons may drive karyotype instability and phenotypic variation. C. neoformans encodes unique genes that may contribute to its unusual virulence properties, and comparison of two phenotypically distinct strains reveals variation in gene content in addition to sequence polymorphisms between the genomes.
724 citations
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TL;DR: The complete structure of an Aβ(1–42) fibril composed of two intertwined protofilaments determined by cryo–electron microscopy (cryo-EM) and provides a structural basis for understanding the effect of several disease-causing and disease-preventing mutations.
Abstract: Amyloids are implicated in neurodegenerative diseases. Fibrillar aggregates of the amyloid-β protein (Aβ) are the main component of the senile plaques found in brains of Alzheimer’s disease patients. We present the structure of an Aβ(1–42) fibril composed of two intertwined protofilaments determined by cryo–electron microscopy (cryo-EM) to 4.0-angstrom resolution, complemented by solid-state nuclear magnetic resonance experiments. The backbone of all 42 residues and nearly all side chains are well resolved in the EM density map, including the entire N terminus, which is part of the cross-β structure resulting in an overall “LS”-shaped topology of individual subunits. The dimer interface protects the hydrophobic C termini from the solvent. The characteristic staggering of the nonplanar subunits results in markedly different fibril ends, termed “groove” and “ridge,” leading to different binding pathways on both fibril ends, which has implications for fibril growth.
724 citations
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TL;DR: In vivo magnetic resonance morphometry of the brain in musicians was used to measure the anatomical asymmetry of the planum temporale, a brain area containing auditory association cortex and previously shown to be a marker of structural and functional asymmetry.
Abstract: Certain human talents, such as musical ability, have been associated with left-right differences in brain structure and function. In vivo magnetic resonance morphometry of the brain in musicians was used to measure the anatomical asymmetry of the planum temporale, a brain area containing auditory association cortex and previously shown to be a marker of structural and functional asymmetry. Musicians with perfect pitch revealed stronger leftward planum temporale asymmetry than nonmusicians or musicians without perfect pitch. The results indicate that outstanding musical ability is associated with increased leftward asymmetry of cortex subserving music-related functions.
724 citations
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University of Düsseldorf1, VU University Amsterdam2, French Institute of Health and Medical Research3, Mayo Clinic4, University of Amsterdam5, Erasmus University Rotterdam6, University of Newcastle7, Institute of Cancer Research8, Johns Hopkins University9, University of Michigan10, University of New South Wales11
TL;DR: Cancer risks were similar in Peutz-Jeghers syndrome patients with identified STK11/LKB1 mutations and those with no detectable mutation (log-rank test of difference χ2; 1 df; P = 0.43), and the type or site of STK 11/L KB1 mutation did not significantly influence cancer risk.
Abstract: BACKGROUND: Although an increased cancer risk in Peutz-Jeghers syndrome is established, data on the spectrum of tumors associated with the disease and the influence of germ-line STK11/LKB1 (serine/threonine kinase) mutation status are limited. EXPERIMENTAL DESIGN: We analyzed the incidence of cancer in 419 individuals with Peutz-Jeghers syndrome, and 297 had documented STK11/LKB1 mutations. RESULTS: Ninety-six cancers were found among individuals with Peutz-Jeghers syndrome. The risk for developing cancer at ages 20, 30, 40, 50, 60, and 70 years was 2%, 5%, 17%, 31%, 60%, and 85%, respectively. The most common cancers represented in this analysis were gastrointestinal in origin, gastroesophageal, small bowel, colorectal, and pancreatic, and the risk for these cancers at ages 30, 40, 50, and 60 years was 1%, 9%, 15%, and 33%, respectively. In women with Peutz-Jeghers syndrome, the risk of breast cancer was substantially increased, being 8% and 31% at ages 40 and 60 years, respectively. Kaplan-Meier analysis showed that cancer risks were similar in Peutz-Jeghers syndrome patients with identified STK11/LKB1 mutations and those with no detectable mutation (log-rank test of difference chi2 = 0.62; 1 df; P = 0.43). Furthermore, the type or site of STK11/LKB1 mutation did not significantly influence cancer risk. CONCLUSIONS: The results from our study provide quantitative information on the spectrum of cancers and risks of specific cancer types associated with Peutz-Jeghers syndrome.
723 citations
Authors
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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 |