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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 & Galaxy. 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
TL;DR: The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.
Abstract: Principal component analysis is one of the most important and powerful methods in chemometrics as well as in a wealth of other areas. This paper provides a description of how to understand, use, and interpret principal component analysis. The paper focuses on the use of principal component analysis in typical chemometric areas but the results are generally applicable.

1,622 citations

Journal ArticleDOI
TL;DR: This revision of the classification of unicellular eukaryotes updates that of Levine et al. (1980) for the protozoa and expands it to include other protists, and proposes a scheme that is based on nameless ranked systematics.
Abstract: This revision of the classification of unicellular eukaryotes updates that of Levine et al. (1980) for the protozoa and expands it to include other protists. Whereas the previous revision was primarily to incorporate the results of ultrastructural studies, this revision incorporates results from both ultrastructural research since 1980 and molecular phylogenetic studies. We propose a scheme that is based on nameless ranked systematics. The vocabulary of the taxonomy is updated, particularly to clarify the naming of groups that have been repositioned. We recognize six clusters of eukaryotes that may represent the basic groupings similar to traditional ''kingdoms.'' The multicellular lineages emerged from within monophyletic protist lineages: animals and fungi from Opisthokonta, plants from Archaeplastida, and brown algae from Stramenopiles.

1,620 citations

Journal ArticleDOI
17 Apr 2008-Nature
TL;DR: The utility of systemically administered LNA-antimiRs in exploring miRNA function in rodents and primates is demonstrated, and the potential of these compounds as a new class of therapeutics for disease-associated miRNAs is supported.
Abstract: microRNAs (miRNAs) are small regulatory RNAs that are important in development and disease and therefore represent a potential new class of targets for therapeutic intervention. Despite recent progress in silencing of miRNAs in rodents, the development of effective and safe approaches for sequence-specific antagonism of miRNAs in vivo remains a significant scientific and therapeutic challenge. Moreover, there are no reports of miRNA antagonism in primates. Here we show that the simple systemic delivery of a unconjugated, PBS-formulated locked-nucleic-acid-modified oligonucleotide (LNA-antimiR) effectively antagonizes the liver-expressed miR-122 in non-human primates. Acute administration by intravenous injections of 3 or 10 mg kg(-1) LNA-antimiR to African green monkeys resulted in uptake of the LNA-antimiR in the cytoplasm of primate hepatocytes and formation of stable heteroduplexes between the LNA-antimiR and miR-122. This was accompanied by depletion of mature miR-122 and dose-dependent lowering of plasma cholesterol. Efficient silencing of miR-122 was achieved in primates by three doses of 10 mg kg(-1) LNA-antimiR, leading to a long-lasting and reversible decrease in total plasma cholesterol without any evidence for LNA-associated toxicities or histopathological changes in the study animals. Our findings demonstrate the utility of systemically administered LNA-antimiRs in exploring miRNA function in rodents and primates, and support the potential of these compounds as a new class of therapeutics for disease-associated miRNAs.

1,610 citations

Journal ArticleDOI
TL;DR: Patterns of the epidemiological transition with a composite indicator of sociodemographic status, which was constructed from income per person, average years of schooling after age 15 years, and the total fertility rate and mean age of the population, were quantified.

1,609 citations

Journal ArticleDOI
John P. Vogel1, David F. Garvin2, Todd C. Mockler2, Jeremy Schmutz, Daniel S. Rokhsar3, Michael W. Bevan4, Kerrie Barry5, Susan Lucas5, Miranda Harmon-Smith5, Kathleen Lail5, Hope Tice5, Jane Grimwood, Neil McKenzie4, Naxin Huo6, Yong Q. Gu6, Gerard R. Lazo6, Olin D. Anderson6, Frank M. You7, Ming-Cheng Luo7, Jan Dvorak7, Jonathan M. Wright4, Melanie Febrer4, Dominika Idziak8, Robert Hasterok8, Erika Lindquist5, Mei Wang5, Samuel E. Fox2, Henry D. Priest2, Sergei A. Filichkin2, Scott A. Givan2, Douglas W. Bryant2, Jeff H. Chang2, Haiyan Wu9, Wei Wu10, An-Ping Hsia10, Patrick S. Schnable9, Anantharaman Kalyanaraman11, Brad Barbazuk12, Todd P. Michael, Samuel P. Hazen13, Jennifer N. Bragg6, Debbie Laudencia-Chingcuanco6, Yiqun Weng14, Georg Haberer, Manuel Spannagl, Klaus F. X. Mayer, Thomas Rattei15, Therese Mitros3, Sang-Jik Lee16, Jocelyn K. C. Rose16, Lukas A. Mueller16, Thomas L. York16, Thomas Wicker17, Jan P. Buchmann17, Jaakko Tanskanen18, Alan H. Schulman18, Heidrun Gundlach, Michael W. Bevan4, Antonio Costa de Oliveira19, Luciano da C. Maia19, William R. Belknap6, Ning Jiang, Jinsheng Lai9, Liucun Zhu20, Jianxin Ma20, Cheng Sun21, Ellen J. Pritham21, Jérôme Salse, Florent Murat, Michael Abrouk, Rémy Bruggmann, Joachim Messing, Noah Fahlgren2, Christopher M. Sullivan2, James C. Carrington2, Elisabeth J. Chapman, Greg D. May22, Jixian Zhai23, Matthias Ganssmann23, Sai Guna Ranjan Gurazada23, Marcelo A German23, Blake C. Meyers23, Pamela J. Green23, Ludmila Tyler3, Jiajie Wu7, James A. Thomson6, Shan Chen13, Henrik Vibe Scheller24, Jesper Harholt25, Peter Ulvskov25, Jeffrey A. Kimbrel2, Laura E. Bartley24, Peijian Cao24, Ki-Hong Jung26, Manoj Sharma24, Miguel E. Vega-Sánchez24, Pamela C. Ronald24, Chris Dardick6, Stefanie De Bodt27, Wim Verelst27, Dirk Inzé27, Maren Heese28, Arp Schnittger28, Xiaohan Yang29, Udaya C. Kalluri29, Gerald A. Tuskan29, Zhihua Hua14, Richard D. Vierstra14, Yu Cui9, Shuhong Ouyang9, Qixin Sun9, Zhiyong Liu9, Alper Yilmaz30, Erich Grotewold30, Richard Sibout31, Kian Hématy31, Grégory Mouille31, Herman Höfte31, Todd P. Michael, Jérôme Pelloux32, Devin O'Connor3, James C. Schnable3, Scott C. Rowe3, Frank G. Harmon3, Cynthia L. Cass33, John C. Sedbrook33, Mary E. Byrne4, Sean Walsh4, Janet Higgins4, Pinghua Li16, Thomas P. Brutnell16, Turgay Unver34, Hikmet Budak34, Harry Belcram, Mathieu Charles, Boulos Chalhoub, Ivan Baxter35 
11 Feb 2010-Nature
TL;DR: The high-quality genome sequence will help Brachypodium reach its potential as an important model system for developing new energy and food crops and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat.
Abstract: Three subfamilies of grasses, the Ehrhartoideae, Panicoideae and Pooideae, provide the bulk of human nutrition and are poised to become major sources of renewable energy. Here we describe the genome sequence of the wild grass Brachypodium distachyon (Brachypodium), which is, to our knowledge, the first member of the Pooideae subfamily to be sequenced. Comparison of the Brachypodium, rice and sorghum genomes shows a precise history of genome evolution across a broad diversity of the grasses, and establishes a template for analysis of the large genomes of economically important pooid grasses such as wheat. The high-quality genome sequence, coupled with ease of cultivation and transformation, small size and rapid life cycle, will help Brachypodium reach its potential as an important model system for developing new energy and food crops.

1,603 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
202110,693
20209,956
20199,189
20188,620