Publications by authors named "V L Pickering"

Objective: The project aims were: (1) identifying the pedagogical impact of collaborative student experience on student understanding of research methods and (2) evaluating the perceived value of providing students with an international perspective on their professional practice.

Methods: Student cohorts from year 1 of the University of Liverpool (UoL) (n = 80) and year 2 of the Royal Melbourne Institute of Technology University (RMIT) (n = 128) undergraduate Medical Radiation Science degree programmes participated in the intervention as part of their teaching. Students were tasked with designing, deploying, and analysing data from survey-based research projects and invited to provide feedback via an anonymous and voluntary online survey (UoL students) or an equivalent paper-based survey (RMIT students), comprising both quantitative (Likert) and qualitative (open) questions.

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Background: High dimensional feature space generally degrades classification in several applications. In this paper, we propose a strategy called gene masking, in which non-contributing dimensions are heuristically removed from the data to improve classification accuracy.

Methods: Gene masking is implemented via a binary encoded genetic algorithm that can be integrated seamlessly with classifiers during the training phase of classification to perform feature selection.

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Introduction: Cancer pain creates a poor quality of life and decreases survival. The basic neurobiology of cancer pain is poorly understood. Adenosine triphosphate (ATP) and the ATP ionotropic receptor subunits, P2X2 and P2X3, mediate cancer pain in animal models; however, it is unknown whether this mechanism operates in human, and if so, what the relative contribution of P2X2- and P2X3-containing trimeric channels to cancer pain is.

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Lung pathology in cystic fibrosis is linked to dehydration of the airways epithelial surface which in part results from inappropriately raised sodium reabsorption through the epithelial sodium channel (ENaC). To identify a small-interfering RNA (siRNA) which selectively inhibits ENaC expression, chemically modified 21-mer siRNAs targeting human ENaCα were designed and screened. GSK2225745, was identified as a potent inhibitor of ENaCα mRNA (EC(50) (half maximal effective concentration) = 0.

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Microsomal triglyceride transfer protein (Mtp) inhibitors represent a novel therapeutic approach to lower circulating LDL cholesterol, although therapeutic development has been hindered by the observed increase in hepatic triglycerides and liver steatosis following treatment. Here, we used small interfering RNAs (siRNA) targeting Mtp to achieve target-specific silencing to study this phenomenon and to determine to what extent liver steatosis is induced by changes in Mtp expression. We observed that Mtp silencing led to a decrease in many genes involved in hepatic triglyceride synthesis.

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