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Biomedical subjects

D D Clarke

Publications and source records attributed to D D Clarke.

49 records · Page 3Linked to original sources

Tricarboxylic acid-cycle metabolism in brain. Effect of fluoroacetate and fluorocitrate on the labelling of glutamate, aspartate, glutamine and gamma-aminobutyrate.

1. The effect of fluoroacetate and fluorocitrate on the compartmentation of the glutamate-glutamine system was studied in brain slices with l-[U-(14)C]glutamate, l-[U-(14)C]aspartate, [1-(14)C]acetate and gamma-amino[1-(14)C]butyrate as precursors and in homogenates of brain tissue with [1-(14)C]acetate. The effect of fluoroacetate was also studied in vivo in mouse brain with [1-(14)C]acetate as precursor. 2. Fluoroacetate and fluorocitrate inhibit the labelling of glutamine from all precursors but affect the labelling of glutamate to a much lesser extent. This effect is not due to inhibition of glutamine synthetase. It is interpreted as being due to selective inhibition of the metabolism of a small pool of glutamate that preferentially labels glutamine.

Acetates↗

Actomyosin-like protein isolated from mammalian brain.

A protein with characteristics similar to actomyosin has been isolated from whole brain of rat and cat. It is soluble in 0.6 molar potassium chloride and insoluble in 0.1 molar potassium chloride. It superprecipitates with magnesium ions and adenosine triphosphate. It has adenosine triphosphatase activity stimulated by either magnesium or calcium ions. Both superprecipitation and adenosine triphosphatase activity are inhibited by p-chloromercuribenzoate and Mersalyl but not by ouabain.

Adenosine Triphosphatases↗

Junction road accidents during cross-flow turns: a sequence analysis of police case files.

In-depth studies of behavioural factors in road accidents using conventional methods are often inconclusive and costly. In a series of studies exploring alternative approaches, 200 cross-flow junction road accidents were sampled from the files of Nottinghamshire Constabulary, UK, coded for computer analysis using a specially devised Traffic Related Action Analysis Language, and then examined using different computational and statistical techniques. For comparison, the same analyses were carried out on 100 descriptions of safe turns, and 100 descriptions of hypothetical accidents provided by experienced drivers. The present study employed a range of sequence analysis techniques to examine the patterns of events preceding accidents of different types. Differences were found between real accidents, hypothetical ones and safe turns; between accidents turning onto and off a road with the right of way; between the accidents of younger and older drivers; between accidents on minor roads and major roads; and between the accident expectations (but not the real accidents) of male and female drivers. Pairs of successive events often provided particularly good cues for discriminating accident types.

Accidents, Traffic↗