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University of Dundee

EducationDundee, 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.


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Journal ArticleDOI
TL;DR: The mechanism by which PKB is activated and the downstream actions of this multifunctional kinase are reviewed, as well as the evidence that PDK1 may be involved in the activation of protein kinases other than PKB, and the possibility that some of the currently postulated PKB substrates targets might in fact be phosphorylated byPDK1-regulated kinasesother than P KB.
Abstract: Phosphoinositide 3-kinases (PI3Ks) generate specific inositol lipids that have been implicated in the regulation of cell growth, proliferation, survival, differentiation and cytoskeletal changes One of the best characterized targets of PI3K lipid products is the protein kinase Akt or protein kinase B (PKB) In quiescent cells, PKB resides in the cytosol in a low-activity conformation Upon cellular stimulation, PKB is activated through recruitment to cellular membranes by PI3K lipid products and phosphorylation by 3'-phosphoinositide-dependent kinase-1 (PDK1) Here we review the mechanism by which PKB is activated and the downstream actions of this multifunctional kinase We also discuss the evidence that PDK1 may be involved in the activation of protein kinases other than PKB, the mechanisms by which this activity of PDK1 could be regulated and the possibility that some of the currently postulated PKB substrates targets might in fact be phosphorylated by PDK1-regulated kinases other than PKB

1,663 citations

Journal ArticleDOI
James J. Lee1, Robbee Wedow2, Aysu Okbay3, Edward Kong4, Omeed Maghzian4, Meghan Zacher4, Tuan Anh Nguyen-Viet5, Peter Bowers4, Julia Sidorenko6, Julia Sidorenko7, Richard Karlsson Linnér8, Richard Karlsson Linnér3, Mark Alan Fontana5, Mark Alan Fontana9, Tushar Kundu5, Chanwook Lee4, Hui Li4, Ruoxi Li5, Rebecca Royer5, Pascal Timshel10, Pascal Timshel11, Raymond K. Walters12, Raymond K. Walters4, Emily A. Willoughby1, Loic Yengo6, Maris Alver7, Yanchun Bao13, David W. Clark14, Felix R. Day15, Nicholas A. Furlotte, Peter K. Joshi14, Peter K. Joshi16, Kathryn E. Kemper6, Aaron Kleinman, Claudia Langenberg15, Reedik Mägi7, Joey W. Trampush5, Shefali S. Verma17, Yang Wu6, Max Lam, Jing Hua Zhao15, Zhili Zheng6, Zhili Zheng18, Jason D. Boardman2, Harry Campbell14, Jeremy Freese19, Kathleen Mullan Harris20, Caroline Hayward14, Pamela Herd21, Pamela Herd13, Meena Kumari13, Todd Lencz22, Todd Lencz23, Jian'an Luan15, Anil K. Malhotra22, Anil K. Malhotra23, Andres Metspalu7, Lili Milani7, Ken K. Ong15, John R. B. Perry15, David J. Porteous14, Marylyn D. Ritchie17, Melissa C. Smart14, Blair H. Smith24, Joyce Y. Tung, Nicholas J. Wareham15, James F. Wilson14, Jonathan P. Beauchamp25, Dalton Conley26, Tõnu Esko7, Steven F. Lehrer27, Steven F. Lehrer28, Steven F. Lehrer29, Patrik K. E. Magnusson30, Sven Oskarsson31, Tune H. Pers11, Tune H. Pers10, Matthew R. Robinson6, Matthew R. Robinson32, Kevin Thom33, Chelsea Watson5, Christopher F. Chabris17, Michelle N. Meyer17, David Laibson4, Jian Yang6, Magnus Johannesson34, Philipp Koellinger3, Philipp Koellinger8, Patrick Turley4, Patrick Turley12, Peter M. Visscher6, Daniel J. Benjamin27, Daniel J. Benjamin5, David Cesarini33, David Cesarini27 
TL;DR: A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11–13% of the variance ineducational attainment and 7–10% ofthe variance in cognitive performance, which substantially increases the utility ofpolygenic scores as tools in research.
Abstract: Here we conducted a large-scale genetic association analysis of educational attainment in a sample of approximately 1.1 million individuals and identify 1,271 independent genome-wide-significant SNPs. For the SNPs taken together, we found evidence of heterogeneous effects across environments. The SNPs implicate genes involved in brain-development processes and neuron-to-neuron communication. In a separate analysis of the X chromosome, we identify 10 independent genome-wide-significant SNPs and estimate a SNP heritability of around 0.3% in both men and women, consistent with partial dosage compensation. A joint (multi-phenotype) analysis of educational attainment and three related cognitive phenotypes generates polygenic scores that explain 11-13% of the variance in educational attainment and 7-10% of the variance in cognitive performance. This prediction accuracy substantially increases the utility of polygenic scores as tools in research.

1,658 citations

Journal ArticleDOI
TL;DR: The postulated functions of the recently discovered CD33-related Siglecs are discussed and the factors that seem to be driving their rapid evolution are considered.
Abstract: Through binding ubiquitous sialic-acid residues on cell surfaces, the Siglec family of lectins promote cell–cell interactions and regulate the functions of numerous immune-cell types. This Review describes the emerging roles of Siglecs in pathogen recognition and endocytosis.

1,648 citations

Journal ArticleDOI
Matthew Berriman1, Elodie Ghedin2, Elodie Ghedin3, Christiane Hertz-Fowler1, Gaëlle Blandin3, Hubert Renauld1, Daniella Castanheira Bartholomeu3, Nicola Lennard1, Elisabet Caler3, N. Hamlin1, Brian J. Haas3, Ulrike Böhme1, Linda Hannick3, Martin Aslett1, Joshua Shallom3, Lucio Marcello4, Lihua Hou3, Bill Wickstead5, U. Cecilia M. Alsmark6, Claire Arrowsmith1, Rebecca Atkin1, Andrew Barron1, Frédéric Bringaud7, Karen Brooks1, Mark Carrington8, Inna Cherevach1, Tracey-Jane Chillingworth1, Carol Churcher1, Louise Clark1, Craig Corton1, Ann Cronin1, Robert L. Davies1, Jonathon Doggett1, Appolinaire Djikeng3, Tamara Feldblyum3, Mark C. Field8, Audrey Fraser1, Ian Goodhead1, Zahra Hance1, David Harper1, Barbara Harris1, Heidi Hauser1, Jessica B. Hostetler3, Al Ivens1, Kay Jagels1, David W. Johnson1, Justin Johnson3, Kristine Jones3, Arnaud Kerhornou1, Hean Koo3, Natasha Larke1, Scott M. Landfear9, Christopher Larkin3, Vanessa Leech8, Alexandra Line1, Angela Lord1, Annette MacLeod4, P. Mooney1, Sharon Moule1, David M. A. Martin10, Gareth W. Morgan11, Karen Mungall1, Halina Norbertczak1, Doug Ormond1, Grace Pai3, Christopher S. Peacock1, Jeremy Peterson3, Michael A. Quail1, Ester Rabbinowitsch1, Marie-Adèle Rajandream1, Chris P Reitter8, Steven L. Salzberg3, Mandy Sanders1, Seth Schobel3, Sarah Sharp1, Mark Simmonds1, Anjana J. Simpson3, Luke J. Tallon3, C. Michael R. Turner4, Andrew Tait4, Adrian Tivey1, Susan Van Aken3, Danielle Walker1, David Wanless3, Shiliang Wang3, Brian White1, Owen White3, Sally Whitehead1, John Woodward1, Jennifer R. Wortman3, Mark Raymond Adams12, T. Martin Embley6, Keith Gull5, Elisabetta Ullu13, J. David Barry4, Alan H. Fairlamb10, Fred R. Opperdoes14, Barclay G. Barrell1, John E. Donelson15, Neil Hall3, Neil Hall16, Claire M. Fraser3, Sara E. Melville8, Najib M. El-Sayed2, Najib M. El-Sayed3 
15 Jul 2005-Science
TL;DR: Comparisons of the cytoskeleton and endocytic trafficking systems of Trypanosoma brucei with those of humans and other eukaryotic organisms reveal major differences.
Abstract: African trypanosomes cause human sleeping sickness and livestock trypanosomiasis in sub-Saharan Africa. We present the sequence and analysis of the 11 megabase-sized chromosomes of Trypanosoma brucei. The 26-megabase genome contains 9068 predicted genes, including ∼900 pseudogenes and ∼1700 T. brucei–specific genes. Large subtelomeric arrays contain an archive of 806 variant surface glycoprotein (VSG) genes used by the parasite to evade the mammalian immune system. Most VSG genes are pseudogenes, which may be used to generate expressed mosaic genes by ectopic recombination. Comparisons of the cytoskeleton and endocytic trafficking systems with those of humans and other eukaryotic organisms reveal major differences. A comparison of metabolic pathways encoded by the genomes of T. brucei, T. cruzi, and Leishmania major reveals the least overall metabolic capability in T. brucei and the greatest in L. major. Horizontal transfer of genes of bacterial origin has contributed to some of the metabolic differences in these parasites, and a number of novel potential drug targets have been identified.

1,631 citations

Journal ArticleDOI
01 Jun 2015-Pain
TL;DR: The IASP Task Force, which comprises pain experts from across the globe, has developed a new and pragmatic classification of chronic pain for the upcoming 11th revision of the International Classification of Diseases, termed “multiple parenting.”
Abstract: Chronic pain has been recognized as pain that persists past normal healing time5 and hence lacks the acute warning function of physiological nociception.35 Usually pain is regarded as chronic when it lasts or recurs for more than 3 to 6 months.29 Chronic pain is a frequent condition, affecting an estimated 20% of people worldwide6,13,14,18 and accounting for 15% to 20% of physician visits.25,28 Chronic pain should receive greater attention as a global health priority because adequate pain treatment is a human right, and it is the duty of any health care system to provide it.4,13 The current version of the International Classification of Diseases (ICD) of the World Health Organization (WHO) includes some diagnostic codes for chronic pain conditions, but these diagnoses do not reflect the actual epidemiology of chronic pain, nor are they categorized in a systematic manner. The ICD is the preeminent tool for coding diagnoses and documenting investigations or therapeutic measures within the health care systems of many countries. In addition, ICD codes are commonly used to report target diseases and comorbidities of participants in clinical research. Consequently, the current lack of adequate coding in the ICD makes the acquisition of accurate epidemiological data related to chronic pain difficult, prevents adequate billing for health care expenses related to pain treatment, and hinders the development and implementation of new therapies.10,11,16,23,27,31,37 Responding to these shortcomings, the International Association for the Study of Pain (IASP) contacted the WHO and established a Task Force for the Classification of Chronic Pain. The IASP Task Force, which comprises pain experts from across the globe,19 has developed a new and pragmatic classification of chronic pain for the upcoming 11th revision of the ICD. The goal is to create a classification system that is applicable in primary care and in clinical settings for specialized pain management. A major challenge in this process was finding a rational principle of classification that suits the different types of chronic pain and fits into the general ICD-11 framework. Pain categories are variably defined based on the perceived location (headache), etiology (cancer pain), or the primarily affected anatomical system (neuropathic pain). Some diagnoses of pain defy these classification principles (fibromyalgia). This problem is not unique to the classification of pain, but exists throughout the ICD. The IASP Task Force decided to give first priority to pain etiology, followed by underlying pathophysiological mechanisms, and finally the body site. Developing this multilayered classification was greatly facilitated by a novel principle of assigning diagnostic codes in ICD-11, termed “multiple parenting.” Multiple parenting allows the same diagnosis to be subsumed under more than 1 category (for a glossary of ICD terms refer to Table ​Table1).1). Each diagnosis retains 1 category as primary parent, but is cross-referenced to other categories that function as secondary parents. Table 1 Glossary of ICD-11 terms. The new ICD category for “Chronic Pain” comprises the most common clinically relevant disorders. These disorders were divided into 7 groups (Fig. ​(Fig.1):1): (1) chronic primary pain, (2) chronic cancer pain, (3) chronic posttraumatic and postsurgical pain, (4) chronic neuropathic pain, (5) chronic headache and orofacial pain, (6) chronic visceral pain, and (7) chronic musculoskeletal pain. Experts assigned to each group are responsible for the definition of diagnostic criteria and the selection of the diagnoses to be included under these subcategories of chronic pain. Thanks to Bedirhan Ustun and Robert Jakob of the WHO, these pain diagnoses are now integrated in the beta version of ICD-11 (http://id.who.int/icd/entity/1581976053). The Task Force is generating content models for single entities to describe their clinical characteristics. After peer review overseen by the WHO Steering Committee,39 the classification of chronic pain will be voted into action by the World Health Assembly in 2017. Figure 1 Organizational chart of Task Force, IASP, and WHO interactions. The IASP Task Force was created by the IASP council and its scope defined in direct consultation of the chairs (R.D.T. and W.R.) with WHO representatives in 2012. The Task Force reports to ... 2. Classification of chronic pain Chronic pain was defined as persistent or recurrent pain lasting longer than 3 months. This definition according to pain duration has the advantage that it is clear and operationalized. Optional specifiers for each diagnosis record evidence of psychosocial factors and the severity of the pain. Pain severity can be graded based on pain intensity, pain-related distress, and functional impairment. 2.1. Chronic primary pain Chronic primary pain is pain in 1 or more anatomic regions that persists or recurs for longer than 3 months and is associated with significant emotional distress or significant functional disability (interference with activities of daily life and participation in social roles) and that cannot be better explained by another chronic pain condition. This is a new phenomenological definition, created because the etiology is unknown for many forms of chronic pain. Common conditions such as, eg, back pain that is neither identified as musculoskeletal or neuropathic pain, chronic widespread pain, fibromyalgia, and irritable bowel syndrome will be found in this section and biological findings contributing to the pain problem may or may not be present. The term “primary pain” was chosen in close liaison with the ICD-11 revision committee, who felt this was the most widely acceptable term, in particular, from a nonspecialist perspective.

1,627 citations


Authors

Showing all 19404 results

NameH-indexPapersCitations
Matthias Mann221887230213
Mark I. McCarthy2001028187898
Stefan Schreiber1781233138528
Kenneth C. Anderson1781138126072
Masayuki Yamamoto1711576123028
Salvador Moncada164495138030
Jorge E. Cortes1632784124154
Andrew P. McMahon16241590650
Philip Cohen154555110856
Dirk Inzé14964774468
Andrew T. Hattersley146768106949
Antonio Lanzavecchia145408100065
Kim Nasmyth14229459231
David Price138168793535
Dario R. Alessi13635474753
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202361
2022205
20211,653
20201,520
20191,473
20181,524