<p> <p>&nbsp / </p> </p> <p align="left">This study utilized large-scale gene expression data to define the regulatory networks of genes expressing in the hippocampus to which multiple disease pathologies may be associated. Specific aims were: ident i fy key regulatory transcription factors (TFs) responsible for observed gene expression patterns, reconstruct transcription regulatory networks, and prioritize likely TFs responsible for anatomically restricted gene expression. Most of the analysis was restricted to the CA3 sub-region of Ammon&rsquo / s horn within the hippocampus. We identified 155 core genes expressing throughout the CA3 sub-region and predicted corresponding TF binding site (TFBS) distributions. Our analysis shows plausible transcription regulatory networks for twelve clusters of co-expressed genes. We demonstrate the validity of the predictions by re-clustering genes based on TFBS distributions and found that genes tend to be correctly assigned to groups of previously identified co-expressing genes with sensitivity of 67.74% and positive predictive value of 100%. Taken together, this study represents one of the first to merge anatomical architecture, expression profiles and transcription regulatory potential on such a large scale in hippocampal sub-anatomy.</p>

<p> <p>&nbsp / </p> </p> <p align="left">This study utilized large-scale gene expression data to define the regulatory networks of genes expressing in the hippocampus to which multiple disease pathologies may be associated. Specific aims were: ident i fy key regulatory transcription factors (TFs) responsible for observed gene expression patterns, reconstruct transcription regulatory networks, and prioritize likely TFs responsible for anatomically restricted gene expression. Most of the analysis was restricted to the CA3 sub-region of Ammon&rsquo / s horn within the hippocampus. We identified 155 core genes expressing throughout the CA3 sub-region and predicted corresponding TF binding site (TFBS) distributions. Our analysis shows plausible transcription regulatory networks for twelve clusters of co-expressed genes. We demonstrate the validity of the predictions by re-clustering genes based on TFBS distributions and found that genes tend to be correctly assigned to groups of previously identified co-expressing genes with sensitivity of 67.74% and positive predictive value of 100%. Taken together, this study represents one of the first to merge anatomical architecture, expression profiles and transcription regulatory potential on such a large scale in hippocampal sub-anatomy.</p>

This research was aimed at the development, implementation and evaluation of an empowerment programme for parents with children in their middle childhood, focused on temperament analysis. The motivation for this study stemmed from the absence of relevant programmes in the field of social work concerning different temperaments and needs of children that parents does not understand or meet. Intervention research was applied. A two-phase research approach was undertaken. In phase 1, a qualitative research was used to do a need assessment. The need assessment was done by means of two focus group discussions with ten parents in each group. The following research question was formulated for this phase: What is the needs of parents related to a programme that focus on temperament analysis for children in there middle childhood. This data complemented the literature study which was undertaken and provided information that established the contents of the empowerment programme. The research question could therefore be answered. The qualitative approach was used in phase 2 as the single-system design. The following research hypothesis was formulated for this phase: If an empowerment programme that includes a temperament analysis is attempted with parents, a significant change in their knowledge in handling and understanding of their children should realise. The empowerment programme for parents with children in their middle childhood consisted of six sessions and was implemented over a period of two weeks. Four parents and one single parent undertook the empowerment programme. A group assessment was undertaken with the five children of the parents who attended the empowerment programme. The focus of the group assessment was to determine a tendency to respond. The self-designed questionnaire was completed prior to the empowerment programme and thereafter. This instrument of measurement confirmed the hypothesis. Conclusions and recommendations for the utilization of the programme in future research were formulated as a result of the research study. / Thesis (PhD (Human Movement Science))--University of Pretoria, 2007. / Social Work and Criminology / unrestricted

Magister Scientiae - MSc / Neurological diseases are socially disabling and often mortal. To efficiently combat these diseases, a deep understanding of involved cellular processes, gene functions and anatomy is required. However, differential regulation of genes across anatomy is not sufficiently well understood. This study utilized large-scale gene expression data to define the regulatory networks of genes expressing in the hippocampus to which multiple disease pathologies may be associated. Specific aims were: ident i fy key regulatory transcription factors (TFs) responsible for observed gene expression patterns, reconstruct transcription regulatory networks, and prioritize likely TFs responsible for anatomically restricted gene expression. Most of the analysis was restricted to the CA3 sub-region of Ammon’s horn within the hippocampus. We identified 155 core genes expressing throughout the CA3 sub-region and predicted corresponding TF binding site (TFBS) distributions. Our analysis shows plausible transcription regulatory networks for twelve clusters of co-expressed genes. We demonstrate the validity of the predictions by re-clustering genes based on TFBS distributions and found that genes tend to be correctly assigned to groups of previously identified co-expressing genes with sensitivity of 67.74% and positive predictive value of 100%. Taken together, this study represents one of the first to merge anatomical architecture, expression profiles and transcription regulatory potential on such a large scale in hippocampal sub-anatomy. / South Africa