Institution
University of Dundee
Education•Dundee, United Kingdom•
About: University of Dundee is a education organization based out in Dundee, United Kingdom. It is known for research contribution in the topics: Population & Protein kinase A. The organization has 19258 authors who have published 39640 publications receiving 1919433 citations. The organization is also known as: Universitas Dundensis & Dundee University.
Papers published on a yearly basis
Papers
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TL;DR: Over the decade studied, the 37 populations in the WHO MONICA Project showed substantial contributions from changes in survival, but the major determinant of decline in CHD mortality is whatever drives changing coronary-event rates.
1,398 citations
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TL;DR: Progress in the analysis of signalling to p53 including phosphorylation cascades, and interactions with proteins such as mdm2 and ARF are highlighted, and the plethora of protein–protein interactions is discussed, as are the strategies for defining downstream targets of p53.
Abstract: Abnormalities of the p53 tumour suppressor gene are among the most frequent molecular events in human and animal neoplasia. Moreover, p53 is one of the most studied proteins in the whole of contemporary biology, with more than 12,500 papers so far written! In this review the choice has been deliberately made not to be fully comprehensive in the coverage of the huge p53 literature. Rather attention is focused on a small number of recent developments which are reviewed in the context of modern models of p53 function. Progress in the analysis of signalling to p53 including phosphorylation cascades, and interactions with proteins such as mdm2 and ARF are highlighted. The plethora of protein-protein interactions is discussed, as are the strategies for defining downstream targets of p53. Finally, the emerging biology of p53 homologues is considered. The need for bridging the gap between reductionist, biochemical and biophysical studies and biological and genetic analysis is emphasized. Only this will provide the needed framework for utilizing the information in clinical care.
1,396 citations
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TL;DR: These latest findings have generated an enormous amount of interest in the development of drugs that inhibit GSK3 and which may have therapeutic potential for the treatment of diabetes, stroke and Alzheimer's disease.
Abstract: Identified originally as a regulator of glycogen metabolism, glycogen synthase kinase-3 (GSK3) is now a well-established component of the Wnt signalling pathway, which is essential for setting up the entire body pattern during embryonic development. It may also play important roles in protein synthesis, cell proliferation, cell differentiation, microtubule dynamics and cell motility by phosphorylating initiation factors, components of the cell-division cycle, transcription factors and proteins involved in microtubule function and cell adhesion. Generation of the mouse knockout of GSK3beta, as well as studies in neurons, also suggest an important role in apoptosis. The substrate specificity of GSK3 is unusual in that efficient phosphorylation of many of its substrates requires the presence of another phosphorylated residue optimally located four amino acids C-terminal to the site of GSK3 phosphorylation. Recent experiments, including the elucidation of its three-dimensional structure, have enhanced our understanding of the molecular basis for the unique substrate specificity of GSK3. Insulin and growth factors inhibit GSK3 by triggering its phosphorylation, turning the N-terminus into a pseudosubstrate inhibitor that competes for binding with the 'priming phosphate' of substrates. In contrast, Wnt proteins inhibit GSK3 in a completely different way, by disrupting a multiprotein complex comprising GSK3 and its substrates in the Wnt signalling pathway, which do not appear to require a 'priming phosphate'. These latest findings have generated an enormous amount of interest in the development of drugs that inhibit GSK3 and which may have therapeutic potential for the treatment of diabetes, stroke and Alzheimer's disease.
1,358 citations
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Verneri Anttila1, Verneri Anttila2, Brendan Bulik-Sullivan1, Brendan Bulik-Sullivan2 +717 more•Institutions (270)
TL;DR: It is demonstrated that, in the general population, the personality trait neuroticism is significantly correlated with almost every psychiatric disorder and migraine, and it is shown that both psychiatric and neurological disorders have robust correlations with cognitive and personality measures.
Abstract: Disorders of the brain can exhibit considerable epidemiological comorbidity and often share symptoms, provoking debate about their etiologic overlap. We quantified the genetic sharing of 25 brain disorders from genome-wide association studies of 265,218 patients and 784,643 control participants and assessed their relationship to 17 phenotypes from 1,191,588 individuals. Psychiatric disorders share common variant risk, whereas neurological disorders appear more distinct from one another and from the psychiatric disorders. We also identified significant sharing between disorders and a number of brain phenotypes, including cognitive measures. Further, we conducted simulations to explore how statistical power, diagnostic misclassification, and phenotypic heterogeneity affect genetic correlations. These results highlight the importance of common genetic variation as a risk factor for brain disorders and the value of heritability-based methods in understanding their etiology.
1,357 citations
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01 Sep 1991TL;DR: In this paper, the authors introduce numerical methods for nonlinear stability theory and linear multi-step methods for linear stability theory, including Predictor-Corrector Methods and Runge-Kutta Methods.
Abstract: Background Material. Introduction to Numerical Methods. Linear Multistep Methods. Predictor--Corrector Methods. Runge--Kutta Methods. Stiffness: Linear Stability Theory. Stiffness: Nonlinear Stability Theory. References. Index.
1,356 citations
Authors
Showing all 19404 results
Name | H-index | Papers | Citations |
---|---|---|---|
Matthias Mann | 221 | 887 | 230213 |
Mark I. McCarthy | 200 | 1028 | 187898 |
Stefan Schreiber | 178 | 1233 | 138528 |
Kenneth C. Anderson | 178 | 1138 | 126072 |
Masayuki Yamamoto | 171 | 1576 | 123028 |
Salvador Moncada | 164 | 495 | 138030 |
Jorge E. Cortes | 163 | 2784 | 124154 |
Andrew P. McMahon | 162 | 415 | 90650 |
Philip Cohen | 154 | 555 | 110856 |
Dirk Inzé | 149 | 647 | 74468 |
Andrew T. Hattersley | 146 | 768 | 106949 |
Antonio Lanzavecchia | 145 | 408 | 100065 |
Kim Nasmyth | 142 | 294 | 59231 |
David Price | 138 | 1687 | 93535 |
Dario R. Alessi | 136 | 354 | 74753 |