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Duncan Walker

Publications and source records attributed to Duncan Walker.

2 recordsLinked to original sources

Pluripotent cell division cycles are driven by ectopic Cdk2, cyclin A/E and E2F activities.

Pluripotent cells of embryonic origin proliferate at unusually rapid rates and have a characteristic cell cycle structure with truncated gap phases. To define the molecular basis for this we have characterized the cell cycle control of murine embryonic stem cells and early primitive ectoderm-like cells. These cells display precocious Cdk2, cyclin A and cyclin E kinase activities that are conspicuously cell cycle independent. Suppression of Cdk2 activity significantly decreased cycling times of pluripotent cells, indicating it to be rate-limiting for rapid cell division, although this had no impact on cell cycle structure and the establishment of extended gap phases. Cdc2-cyclin B was the only Cdk activity that was identified to be cell cycle regulated in pluripotent cells. Cell cycle regulation of cyclin B levels and Y(15) regulation of Cdc2 contribute to the temporal changes in Cdc2-cyclin B activity. E2F target genes are constitutively active throughout the cell cycle, reflecting the low activity of pocket proteins such as p107 and pRb and constitutive activity of pRb-kinases. These results show that rapid cell division cycles in primitive cells of embryonic origin are driven by extreme levels of Cdk activity that lack normal cell cycle periodicity.

Animals↗

The validity and heritability of self-report osteoarthritis in an Australian older twin sample.

In order to investigate the genetic and environmental antecedents of osteoarthritis (OA), self-report measures of joint pain, stiffness and swelling were obtained from a population-based sample of 1242 twin pairs over 50 years of age. In order to provide validation for these self-report measures, a subsample of 118 twin pairs were examined according to the American College of Rheumatology clinical and radiographic criteria for the classification of osteoarthritis. A variety of statistical methods were employed to identify the model derived from self-report variables which would provide optimal prediction of these standardised assessments, and structural equation modelling was used to determine the relative influences of genetic and environmental influences on the development of osteoarthritis. Significant genetic effects were found to contribute to osteoarthritis of the hands, hips and knees in women, with heritability estimates ranging from 30-46% depending on the site. In addition, the additive genetic effects contributing to osteoarthritis in various parts of the body were confirmed to be the same. Statistically significant familial aggregation of osteoarthritis in men was also observed, but it was not possible to determine whether this was due to genetic or shared environmental effects.

Aged↗