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Institution

University of Copenhagen

EducationCopenhagen, 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.


Papers
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Journal ArticleDOI
27 Mar 2014-Nature
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

Journal ArticleDOI
06 Jun 2013-Nature
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

Journal ArticleDOI
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

Journal ArticleDOI
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

Journal ArticleDOI
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

NameH-indexPapersCitations
Michael Karin236704226485
Matthias Mann221887230213
Peer Bork206697245427
Ronald Klein1941305149140
Kenneth S. Kendler1771327142251
Dorret I. Boomsma1761507136353
Ramachandran S. Vasan1721100138108
Unnur Thorsteinsdottir167444121009
Mika Kivimäki1661515141468
Jun Wang1661093141621
Anders Björklund16576984268
Gerald I. Shulman164579109520
Jaakko Kaprio1631532126320
Veikko Salomaa162843135046
Daniel J. Jacob16265676530
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023370
20221,266
202110,694
20209,956
20199,190
20188,620