Identification and characterization of genes encoding phospholipid biosynthetic enzymes of {\it Saccharomyces cerevisiae\/}

Phospholipids are the major component of cellular membranes. In addition to its structural role, phospholipids play an active and diverse role in cellular processes. The goal of this study is to identify the genes involved in phospholipid biosynthesis in a model eukaryotic system, Saccharomyces cerevisiae. We have focused on the biosynthetic steps localized in the inner mitochondrial membrane; hence, the identification of the genes encoding phosphatidylserine decarboxylase (PSD1), cardiolipin synthase (CLS1), and phosphatidylglycerophosphate synthase (PGS1).^ The PSD1 gene encoding a phosphatidylserine decarboxylase was cloned by complementation of a conditional lethal mutation in the homologous gene in Escherichia coli strain EH150. Overexpression of the PSD1 gene in wild type yeast resulted in 20-fold amplification of phosphatidylserine decarboxylase activity. Disruption of the PSD1 gene resulted in 20-fold reduction of decarboxylase activity, but the PSD1 null mutant exhibited essentially normal phenotype. These results suggest that yeast has a second phosphatidylserine decarboxylation activity.^ Cardiolipin is the major anionic phospholipid of the inner mitochondrial membrane. It is thought to be an essential component of many biochemical functions. In eukaryotic cells, cardiolipin synthase catalyzes the final step in the synthesis of cardiolipin from phosphatidylglycerol and CDP-diacylglycerol. We have cloned the gene CLS1. Overexpression of the CLS1 gene product resulted in significantly elevated cardiolipin synthase activity, and disruption of the CLS1 gene, confirmed by PCR and Southern blot analysis, resulted in a null mutant that was viable and showed no petite phenotype. However, phospholipid analysis showed undetectable cardiolipin level and an accumulation of phosphatidylglycerol. These results support the conclusion that CLS1 encodes the cardiolipin synthase of yeast and that normal levels of cardiolipin are not absolutely essential for survival of the cell.^ Phosphatidylglycerophosphate (PGP) synthase catalyzes the synthesis of PGP from CDP-diacylglycerol and glycerol-3-phosphate and functions as the committal and rate limiting step in the biosynthesis of cardiolipin. We have identified the PGS1 gene as encoding the PGP synthase. Overexpression of the PGS1 gene product resulted in over 15-fold increase in in vitro PGP synthase activity. Disruption of the PGS1 gene in a haploid strain of yeast, confirmed by Southern blot analysis, resulted in a null mutant strain that was viable but had significantly altered phenotypes, i.e. inability to grow on glycerol and at $37\sp\circ$C. These cells showed over a 10-fold decrease in PGP synthase activity and a decrease in both phosphatidylglycerol and cardiolipin levels. These results support the conclusion that PGS1 encodes the PGP synthase of yeast and that neither phosphatidylglycerol nor cardiolipin are absolutely essential for survival of the cell. ^

Identification and characterization of new genes involved in Drosophila heart development

Heart development is a crucial and conserved process that is related to the major type of human birth defects. Dorsal vessel, the Drosophila heart, has been regarded as an insightful system to identify new genes and study gene functions involved in heart development. Using heart-specific GFP transgenes, I did a genetic screen for cardiogenic genes on Drosophila chromosome II. Drosophila mutants that carry chromosome II deficiencies were tested for their phenotypes of heart development. Based on the screen results, chromosome regions containing genes required for heart development were identified. Fly strains with single gene mutations located within the defined deficiency regions were tested further. Seven genes have been identified to be involved in heart development. ^ The LIM homeodomain transcription factor gene tailup (tup) was further studied for its function in heart development. Based on this study, tup is expressed in cardioblasts and pericardial cells of the heart tube, as well as in associated lymph glands and alary muscles. In depth analysis of tup mutant phenotypes demonstrated tup is required for normal development of both heart and lymph glands. Tup was shown to bind to two DNA recognition sequences in the dorsal vessel enhancer of the Hand bHLH transcription factor gene, with one site proven essential for the expression of Hand in lymph glands, pericardial cells, and Svp/Doc cardioblasts. Together, these studies demonstrate that Tup is a critical new transcription factor in dorsal vessel morphogenesis and lymph gland formation, and strongly suggest Tup is a direct regulator of the expression of Hand in these developmental processes. ^

Identification of diabetic retinopathy genes through a genome-wide association study among Mexican-Americans from Starr County, Texas

To identify genetic susceptibility loci for severe diabetic retinopathy, 286 Mexican-Americans with type 2 diabetes from Starr County, Texas completed detailed physical and ophthalmologic examinations including fundus photography for diabetic retinopathy grading. 103 individuals with moderate-to-severe non-proliferative diabetic retinopathy or proliferative diabetic retinopathy were defined as cases for this study. DNA samples extracted from study subjects were genotyped using the Affymetrix GeneChip® Human Mapping 100K Set, which includes 116,204 single nucleotide polymorphisms (SNPs) across the whole genome. Single-marker allelic tests and 2- to 8-SNP sliding-window Haplotype Trend Regression implemented in HelixTreeTM were first performed with these direct genotypes to identify genes/regions contributing to the risk of severe diabetic retinopathy. An additional 1,885,781 HapMap Phase II SNPs were imputed from the direct genotypes to expand the genomic coverage for a more detailed exploration of genetic susceptibility to diabetic retinopathy. The average estimated allelic dosage and imputed genotypes with the highest posterior probabilities were subsequently analyzed for associations using logistic regression and Fisher's Exact allelic tests, respectively. To move beyond these SNP-based approaches, 104,572 directly genotyped and 333,375 well-imputed SNPs were used to construct genetic distance matrices based on 262 retinopathy candidate genes and their 112 related biological pathways. Multivariate distance matrix regression was then used to test hypotheses with genes and pathways as the units of inference in the context of susceptibility to diabetic retinopathy. This study provides a framework for genome-wide association analyses, and implicated several genes involved in the regulation of oxidative stress, inflammatory processes, histidine metabolism, and pancreatic cancer pathways associated with severe diabetic retinopathy. Many of these loci have not previously been implicated in either diabetic retinopathy or diabetes. In summary, CDC73, IL12RB2, and SULF1 had the best evidence as candidates to influence diabetic retinopathy, possibly through novel biological mechanisms related to VEGF-mediated signaling pathway or inflammatory processes. While this study uncovered some genes for diabetic retinopathy, a comprehensive picture of the genetic architecture of diabetic retinopathy has not yet been achieved. Once fully understood, the genetics and biology of diabetic retinopathy will contribute to better strategies for diagnosis, treatment and prevention of this disease.^

Procedure for the identification of population characteristics for targeting intervention services on the basis of outcome-goal priorities: Case management services for the chronic mentally ill

Although the processes involved in rational patient targeting may be obvious for certain services, for others, both the appropriate sub-populations to receive services and the procedures to be used for their identification may be unclear. This project was designed to address several research questions which arise in the attempt to deliver appropriate services to specific populations. The related difficulties are particularly evident for those interventions about which findings regarding effectiveness are conflicting. When an intervention clearly is not beneficial (or is dangerous) to a large, diverse population, consensus regarding withholding the intervention from dissemination can easily be reached. When findings are ambiguous, however, conclusions may be impossible.^ When characteristics of patients likely to benefit from an intervention are not obvious, and when the intervention is not significantly invasive or dangerous, the strategy proposed herein may be used to identify specific characteristics of sub-populations which may benefit from the intervention. The identification of these populations may be used both in further informing decisions regarding distribution of the intervention and for purposes of planning implementation of the intervention by identifying specific target populations for service delivery.^ This project explores a method for identifying such sub-populations through the use of related datasets generated from clinical trials conducted to test the effectiveness of an intervention. The method is specified in detail and tested using the example intervention of case management for outpatient treatment of populations with chronic mental illness. These analyses were applied in order to identify any characteristics which distinguish specific sub-populations who are more likely to benefit from case management service, despite conflicting findings regarding its effectiveness for the aggregate population, as reported in the body of related research. However, in addition to a limited set of characteristics associated with benefit, the findings generated, a larger set of characteristics of patients likely to experience greater improvement without intervention. ^