scispace - formally typeset
Search or ask a question
Institution

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.


Papers
More filters
Journal ArticleDOI
TL;DR: This chapter discusses glycogen synthase kinase-3 from rabbit skeletal muscle, which has a second activity that is not shared by any other protein kinase—namely, the ability to activate an enzyme termed the MgATP-dependent protein phosphatase.
Abstract: Publisher Summary This chapter discusses glycogen synthase kinase-3 from rabbit skeletal muscle. Glycogen synthase kinase-3 is one of the five glycogen synthase kinases that are identified in skeletal muscle, and is of major importance in determining the kinetic properties of glycogen synthase in vivo. It catalyzes the phosphorylation of three serine residues on glycogen synthase, converting the enzyme from a form that is almost fully active in the absence of glucose-6P, to one that is largely dependent on this allosteric activator. Glycogen synthase kinase-3 also has a second activity that is not shared by any other protein kinase—namely, the ability to activate an enzyme termed the MgATP-dependent protein phosphatase. Glycogen synthase may also contain traces of a modified form of phosphorylase kinase that has lost its sensitivity to regulation by calcium ions, and is therefore, no longer inhibited by ethylene glycol tetraacetic acid (EGTA). This is largely removed by passing glycogen synthase through phosphocellulose.

873 citations

Journal ArticleDOI
TL;DR: Evidence indicates that a novel class of proteins, known as targetting subunits, specifies the location, catalytic and regulatory properties of protein phosphatases and kinases, and thereby plays a key role in ensuring the fidelity ofprotein phosphorylation.

873 citations

Journal ArticleDOI
TL;DR: AICAR provides direct evidence that the inhibition by AMPK of activation of hormone-sensitive lipase by cyclic-AMP-dependent protein kinase also operates in intact cells, and should be a useful tool for identifying new target pathways and processes regulated by theprotein kinase cascade.
Abstract: The AMP-activated protein kinase (AMPK) is believed to protect cells against environmental stress (e.g. heat shock) by switching off biosynthetic pathways, the key signal being elevation of AMP. Identification of novel targets for the kinase cascade would be facilitated by development of a specific agent for activating the kinase in intact cells. Incubation of rat hepatocytes with 5-aminoimidazole-4-carboxamide ribonucleoside (AICAR) results in accumulation of the monophosphorylated derivative (5-aminoimidaz-ole-4-carboxamide ribonucleoside; ZMP) within the cell. ZMP mimics both activating effects of AMP on AMPK, i.e. direct allosteric activation and promotion of phosphorylation by AMPK kinase. Unlike existing methods for activating AMPK in intact cells (e.g. fructose, heat shock), AICAR does not perturb the cellular contents of ATP, ADP or AMP. Incubation of hepatocytes with AICAR activates AMPK due to increased phosphorylation, causes phosphorylation and inactivation of a known target for AMPK (3-hydroxy-3-methylglutaryl-CoA reductase), and almost total cessation of two of the known target pathways, i.e. fatty acid and sterol synthesis. Incubation of isolated adipocytes with AICAR antagonizes isoprenaline-induced lipolysis. This provides direct evidence that the inhibition by AMPK of activation of hormone-sensitive lipase by cyclic-AMP-dependent protein kinase, previously demonstrated in cell-free assays, also operates in intact cells. AICAR should be a useful tool for identifying new target pathways and processes regulated by the protein kinase cascade.

871 citations

Journal ArticleDOI
TL;DR: The Self-Regulatory Executive Function (S-REF) model of emotional disorder is outlined, which integrates information processing research with Beck's schema theory and presents implications concerning not only what should be done in cognitive therapy, but how cognitive change may be most effectively accomplished.

869 citations

Journal ArticleDOI
11 Jul 2016-Nature
TL;DR: In this paper, the authors performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing for 12,940 individuals from five ancestry groups.
Abstract: The genetic architecture of common traits, including the number, frequency, and effect sizes of inherited variants that contribute to individual risk, has been long debated. Genome-wide association studies have identified scores of common variants associated with type 2 diabetes, but in aggregate, these explain only a fraction of the heritability of this disease. Here, to test the hypothesis that lower-frequency variants explain much of the remainder, the GoT2D and T2D-GENES consortia performed whole-genome sequencing in 2,657 European individuals with and without diabetes, and exome sequencing in 12,940 individuals from five ancestry groups. To increase statistical power, we expanded the sample size via genotyping and imputation in a further 111,548 subjects. Variants associated with type 2 diabetes after sequencing were overwhelmingly common and most fell within regions previously identified by genome-wide association studies. Comprehensive enumeration of sequence variation is necessary to identify functional alleles that provide important clues to disease pathophysiology, but large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes.

866 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
Network Information
Related Institutions (5)
University of Edinburgh
151.6K papers, 6.6M citations

95% related

University College London
210.6K papers, 9.8M citations

95% related

University of Manchester
168K papers, 6.4M citations

94% related

Imperial College London
209.1K papers, 9.3M citations

94% related

University of Cambridge
282.2K papers, 14.4M citations

93% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202361
2022205
20211,653
20201,520
20191,473
20181,524