Institution
University of Copenhagen
Education•Copenhagen, Denmark•
About: University of Copenhagen is a education organization based out in Copenhagen, Denmark. It is known for research contribution in the topics: Population & Medicine. The organization has 57645 authors who have published 149740 publications receiving 5903093 citations. The organization is also known as: Copenhagen University & Københavns Universitet.
Topics: Population, Medicine, Galaxy, Diabetes mellitus, Cancer
Papers published on a yearly basis
Papers
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University of Copenhagen1, University Hospital Regensburg2, University of Birmingham3, University of North Carolina at Chapel Hill4, Harvard University5, Aarhus University6, University of Edinburgh7, Lawrence Berkeley National Laboratory8, European Bioinformatics Institute9, Karolinska Institutet10, VU University Medical Center11
TL;DR: It is shown that enhancers share properties with CpG-poor messenger RNA promoters but produce bidirectional, exosome-sensitive, relatively short unspliced RNAs, the generation of which is strongly related to enhancer activity.
Abstract: Enhancers control the correct temporal and cell-type-specific activation of gene expression in multicellular eukaryotes. Knowing their properties, regulatory activity and targets is crucial to understand the regulation of differentiation and homeostasis. Here we use the FANTOM5 panel of samples, covering the majority of human tissues and cell types, to produce an atlas of active, in vivo-transcribed enhancers. We show that enhancers share properties with CpG-poor messenger RNA promoters but produce bidirectional, exosome-sensitive, relatively short unspliced RNAs, the generation of which is strongly related to enhancer activity. The atlas is used to compare regulatory programs between different cells at unprecedented depth, to identify disease-associated regulatory single nucleotide polymorphisms, and to classify cell-type-specific and ubiquitous enhancers. We further explore the utility of enhancer redundancy, which explains gene expression strength rather than expression patterns. The online FANTOM5 enhancer atlas represents a unique resource for studies on cell-type-specific enhancers and gene regulation.
2,260 citations
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TL;DR: This work uses shotgun sequencing to characterize the faecal metagenome of 145 European women with normal, impaired or diabetic glucose control, and develops a mathematical model based on metagenomic profiles that identified T2D with high accuracy.
Abstract: Recent evidence has suggested that altered gut microbiota are associated with various metabolic diseases including obesity, diabetes and cardiovascular disease. Fredrik Bckhed and colleagues characterized the faecal metagenome of a cohort of European women with normal, impaired or diabetic glucose control and compared these findings to a recently described Chinese cohort. Their analysis reveals differences in the discriminant metagenomic markers for type 2 diabetes between the two cohorts, suggesting that metagenomic predictive tools may have to be specific for age and geographical populations under investigation.
2,248 citations
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TL;DR: The gut microbiota of infants delivered by C-section showed significantly less resemblance to their mothers and nutrition had a major impact on early microbiota composition and function, with cessation of breast-feeding, rather than introduction of solid food, being required for maturation into an adult-like microbiota.
2,227 citations
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TL;DR: Phobius, a combined transmembrane protein topology and signal peptide predictor based on a hidden Markov model, noted a drastic reduction of false classifications compared to TMHMM/SignalP, suggesting that Phobius is well suited for whole-genome annotation of signal peptides and trans Membrane regions.
2,191 citations
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Icahn School of Medicine at Mount Sinai1, Cleveland Clinic2, University of Alabama at Birmingham3, University of Copenhagen4, University College London5, University of Texas Health Science Center at Houston6, New York University7, University of Pennsylvania8, VU University Amsterdam9, National Multiple Sclerosis Society10, Johns Hopkins University11, Vita-Salute San Raffaele University12, University of Ottawa13, University of Rochester14, University of Basel15, University of Düsseldorf16, Pierre-and-Marie-Curie University17, Autonomous University of Barcelona18, University of Toronto19, University of British Columbia20, Sapienza University of Rome21, University of Texas Southwestern Medical Center22, University of California, San Francisco23
TL;DR: Refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression are proposed and strategies for future research to better define phenotypes are outlined.
Abstract: Accurate clinical course descriptions (phenotypes) of multiple sclerosis (MS) are important for communication, prognostication, design and recruitment of clinical trials, and treatment decision-making. Standardized descriptions published in 1996 based on a survey of international MS experts provided purely clinical phenotypes based on data and consensus at that time, but imaging and biological correlates were lacking. Increased understanding of MS and its pathology, coupled with general concern that the original descriptors may not adequately reflect more recently identified clinical aspects of the disease, prompted a re-examination of MS disease phenotypes by the International Advisory Committee on Clinical Trials of MS. While imaging and biological markers that might provide objective criteria for separating clinical phenotypes are lacking, we propose refined descriptors that include consideration of disease activity (based on clinical relapse rate and imaging findings) and disease progression. Strategies for future research to better define phenotypes are also outlined.
2,180 citations
Authors
Showing all 58387 results
Name | H-index | Papers | Citations |
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Michael Karin | 236 | 704 | 226485 |
Matthias Mann | 221 | 887 | 230213 |
Peer Bork | 206 | 697 | 245427 |
Ronald Klein | 194 | 1305 | 149140 |
Kenneth S. Kendler | 177 | 1327 | 142251 |
Dorret I. Boomsma | 176 | 1507 | 136353 |
Ramachandran S. Vasan | 172 | 1100 | 138108 |
Unnur Thorsteinsdottir | 167 | 444 | 121009 |
Mika Kivimäki | 166 | 1515 | 141468 |
Jun Wang | 166 | 1093 | 141621 |
Anders Björklund | 165 | 769 | 84268 |
Gerald I. Shulman | 164 | 579 | 109520 |
Jaakko Kaprio | 163 | 1532 | 126320 |
Veikko Salomaa | 162 | 843 | 135046 |
Daniel J. Jacob | 162 | 656 | 76530 |