Application of stellar photometry to the analysis of microarray images

Improvements in the analysis of microarray images are critical for accurately quantifying gene expression levels. The acquisition of accurate spot intensities directly influences the results and interpretation of statistical analyses. This dissertation discusses the implementation of a novel approach to the analysis of cDNA microarray images. We use a stellar photometric model, the Moffat function, to quantify microarray spots from nylon microarray images. The inherent flexibility of the Moffat shape model makes it ideal for quantifying microarray spots. We apply our novel approach to a Wilms' tumor microarray study and compare our results with a fixed-circle segmentation approach for spot quantification. Our results suggest that different spot feature extraction methods can have an impact on the ability of statistical methods to identify differentially expressed genes. We also used the Moffat function to simulate a series of microarray images under various experimental conditions. These simulations were used to validate the performance of various statistical methods for identifying differentially expressed genes. Our simulation results indicate that tests taking into account the dependency between mean spot intensity and variance estimation, such as the smoothened t-test, can better identify differentially expressed genes, especially when the number of replicates and mean fold change are low. The analysis of the simulations also showed that overall, a rank sum test (Mann-Whitney) performed well at identifying differentially expressed genes. Previous work has suggested the strengths of nonparametric approaches for identifying differentially expressed genes. We also show that multivariate approaches, such as hierarchical and k-means cluster analysis along with principal components analysis, are only effective at classifying samples when replicate numbers and mean fold change are high. Finally, we show how our stellar shape model approach can be extended to the analysis of 2D-gel images by adapting the Moffat function to take into account the elliptical nature of spots in such images. Our results indicate that stellar shape models offer a previously unexplored approach for the quantification of 2D-gel spots. ^

Barriers to cross-border research projects: A prelude to improving professional collaborations between the United States and Mexico

Study objective. This was a secondary data analysis of a study designed and executed in two phases in order to investigate several questions: Why aren't more investigators conducting successful cross-border research on human health issues? What are the barriers to conducting this research? What interventions might facilitate cross-border research? ^ Methods. Key informant interviews and focus groups were used in Phase One, and structured questionnaires in Phase Two. A multi-question survey was created based on the findings of focus groups and distributed to a wider circle of researchers and academics for completion. The data was entered and analyzed using SPSS software. ^ Setting. El Paso, TX located on the U.S-Mexico Border. ^ Participants. Individuals from local academic institutions and the State Department of Health. ^ Results. From the transcribed data of the focus groups, eight major themes emerged: Political Barriers, Language/Cultural Barriers, Differing Goals, Geographic Issues, Legal Barriers, Technology/Material Issues, Financial Barriers, and Trust Issues. Using these themes, the questionnaire was created. ^ The response rate for the questionnaires was 47%. The largest obstacles revealed by this study were identifying a funding source for the project (47% agreeing or strongly agreeing), difficulties paying a foreign counterpart (33% agreeing or strongly agreeing) and administrative changes in Mexico (31% agreeing or strongly agreeing). ^ Conclusions. Many U.S. investigators interested in cross-border research have been discouraged in their efforts by varying barriers. The majority of respondents in the survey felt financial issues and changes in Mexican governments were the most significant obstacles. While some of these barriers can be overcome simply by collaboration among motivated groups, other barriers may be more difficult to remove. Although more evaluation of this research question is warranted, the information obtained through this study is sufficient to support creation of a Cross-Border Research Resource Manual to be used by individuals interested in conducting research with Mexico. ^