Institution
University of Cologne
Education•Cologne, Germany•
About: University of Cologne is a education organization based out in Cologne, Germany. It is known for research contribution in the topics: Population & Transplantation. The organization has 32050 authors who have published 66350 publications receiving 2210092 citations. The organization is also known as: Universität zu Köln & Universitatis Coloniensis.
Topics: Population, Transplantation, Gene, Star formation, Cancer
Papers published on a yearly basis
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TL;DR: The crystal structure of a fully active form of human protein kinase CK2 (casein kinase 2) consisting of two C‐terminally truncated catalytic and two regulatory subunits has been determined and shows an inter‐domain mobility in the catalytic subunit known to be functionally important in protein kinases and detected here for the first time directly within one crystal structure.
Abstract: The crystal structure of a fully active form of human protein kinase CK2 (casein kinase 2) consisting of two C-terminally truncated catalytic and two regulatory subunits has been determined at 3.1 A resolution. In the CK2 complex the regulatory subunits form a stable dimer linking the two catalytic subunits, which make no direct contact with one another. Each catalytic subunit interacts with both regulatory chains, predominantly via an extended C-terminal tail of the regulatory subunit. The CK2 structure is consistent with its constitutive activity and with a flexible role of the regulatory subunit as a docking partner for various protein kinases. Furthermore it shows an inter-domain mobility in the catalytic subunit known to be functionally important in protein kinases and detected here for the first time directly within one crystal structure.
395 citations
Erasmus University Rotterdam1, VU University Amsterdam2, University of Zurich3, Harvard University4, Hospital for Special Surgery5, Cornell University6, University of Amsterdam7, University of Toronto8, University of Copenhagen9, Statens Serum Institut10, University of Queensland11, University of Essex12, ETH Zurich13, Broad Institute14, University of Oxford15, Max Planck Society16, German Institute for Economic Research17, Pompeu Fabra University18, University of Edinburgh19, University of Oulu20, University of California, San Diego21, University of Lübeck22, Institut Pere Mata23, University of Colorado Boulder24, University of Konstanz25, University of North Carolina at Chapel Hill26, University of Fribourg27, Karolinska Institutet28, University of Guelph29, St. Joseph's Healthcare Hamilton30, Ludwig Maximilian University of Munich31, University of Innsbruck32, University of Cologne33, University College London34, University of Chicago35, Imperial College London36, University of Tartu37, Stockholm School of Economics38, Geisinger Health System39, Catalan Institution for Research and Advanced Studies40, University of Mainz41, University of Southern California42, Uniformed Services University of the Health Sciences43, Western General Hospital44, Translational Research Institute45, University of Minnesota46, New York University47, National Bureau of Economic Research48
TL;DR: This paper found evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of their other GWAS, and general risk-tolerance is genetically correlated with a range of risky behaviors.
Abstract: Humans vary substantially in their willingness to take risks. In a combined sample of over 1 million individuals, we conducted genome-wide association studies (GWAS) of general risk tolerance, adventurousness, and risky behaviors in the driving, drinking, smoking, and sexual domains. Across all GWAS, we identified hundreds of associated loci, including 99 loci associated with general risk tolerance. We report evidence of substantial shared genetic influences across risk tolerance and the risky behaviors: 46 of the 99 general risk tolerance loci contain a lead SNP for at least one of our other GWAS, and general risk tolerance is genetically correlated ([Formula: see text] ~ 0.25 to 0.50) with a range of risky behaviors. Bioinformatics analyses imply that genes near SNPs associated with general risk tolerance are highly expressed in brain tissues and point to a role for glutamatergic and GABAergic neurotransmission. We found no evidence of enrichment for genes previously hypothesized to relate to risk tolerance.
395 citations
University of California, Berkeley1, University of Arizona2, University of Missouri3, Max Planck Society4, University of Stirling5, University of Turku6, University of Cologne7, Leibniz Association8, McGill University9, Pennsylvania State University10, California State University, Fullerton11, Wageningen University and Research Centre12, University of Western Australia13, University of Alberta14, University of Toronto15, Stockholm University16
TL;DR: The coevolutionary interactions between plants and butterflies are examined, and evidence for an escalating evolutionary arms-race is uncovered, providing an important connection between the origins of biodiversity, coev evolution, and the role of gene and genome duplications as a substrate for novel traits.
Abstract: Coevolutionary interactions are thought to have spurred the evolution of key innovations and driven the diversification of much of life on Earth. However, the genetic and evolutionary basis of the innovations that facilitate such interactions remains poorly understood. We examined the coevolutionary interactions between plants (Brassicales) and butterflies (Pieridae), and uncovered evidence for an escalating evolutionary arms-race. Although gradual changes in trait complexity appear to have been facilitated by allelic turnover, key innovations are associated with gene and genome duplications. Furthermore, we show that the origins of both chemical defenses and of molecular counter adaptations were associated with shifts in diversification rates during the arms-race. These findings provide an important connection between the origins of biodiversity, coevolution, and the role of gene and genome duplications as a substrate for novel traits.
394 citations
TL;DR: The region containing da is cloned and it is found that five recessive lethal da mutations map to a single transcription unit that has sequence similarities with the oncogene myc, with the gene MyoD1, which is involved in myoblast determination, and with the Drosophila achaete-scute complex, which was involved in neuronal precursor determination.
394 citations
TL;DR: Data from a large, nationally representative German study is used to describe and explain age differences in loneliness from late adolescence to oldest old age, showing that sources of loneliness in older adults are well understood.
Abstract: Contrary to common stereotypes, loneliness is not restricted to old age but can occur at any life stage. In this study, we used data from a large, nationally representative German study (N = 16,132) to describe and explain age differences in loneliness from late adolescence to oldest old age. The age distribution of loneliness followed a complex nonlinear trajectory, with elevated loneliness levels among young adults and among the oldest old. The late-life increase in loneliness could be explained by lower income levels, higher prevalence of functional limitations, and higher proportion of singles in this age group. Consistent with an age-normative perspective, the association of income, relationship status, household size, and work status with loneliness differed between different age groups. In contrast, indicators of the quantity of social relationships (social engagement, number of friends, contact frequency) were universally associated with loneliness regardless of age. Overall, these findings show that sources of loneliness in older adults are well understood. Future research should focus on understanding the specific sources of loneliness in middle-aged adults. (PsycINFO Database Record
393 citations
Authors
Showing all 32558 results
| Name | H-index | Papers | Citations |
|---|---|---|---|
| Julie E. Buring | 186 | 950 | 132967 |
| Stuart H. Orkin | 186 | 715 | 112182 |
| Cornelia M. van Duijn | 183 | 1030 | 146009 |
| Dorret I. Boomsma | 176 | 1507 | 136353 |
| Frederick W. Alt | 171 | 577 | 95573 |
| Donald E. Ingber | 164 | 610 | 100682 |
| Klaus Müllen | 164 | 2125 | 140748 |
| Klaus Rajewsky | 154 | 504 | 88793 |
| Frederik Barkhof | 154 | 1449 | 104982 |
| Stefanie Dimmeler | 147 | 574 | 81658 |
| Detlef Weigel | 142 | 516 | 84670 |
| Hidde L. Ploegh | 135 | 674 | 67437 |
| Luca Valenziano | 130 | 437 | 94728 |
| Peter Walter | 126 | 841 | 71580 |
| Peter G. Martin | 125 | 553 | 97257 |