The function of math5 and myocilin in mammalian eye development and disease

Complex molecular events underlie vertebrate eye development and disease. The eye is composed of two major tissue types: the anterior and posterior segments. During development, the retinal progenitor cells differentiate into six neuronal and one non-neuronal cell types. These cell types later organize into the distinct laminar structure of the mature retina which occupies the posterior segment. In the developed anterior segment, both the ciliary body and trabecular meshwork regulate intraocular pressure created by the aqueous humor. The disruption in intraocular pressure can lead to a blinding condition called glaucoma. To characterize molecular mechanisms governing retinal development and glaucoma, two separate mouse knockout lines carrying mutations in math5 and myocilin were subjected to a series of in vivo analyses. ^ Math5 is a murine homologue of Drosophila atonal , a bHLH proneural gene essential for the formation of photoreceptor cells. The expression of math5 coincides with the onset of retinal ganglion cell differentiation. The targeted deletion of mouse math5 revealed that a null mutation inhibits the formation of a majority of the retinal ganglion cells. The mutation also interferes with the normal development of other retinal cell types such as amacrine, bipolar and photoreceptor cells. These results suggest that math5 is a proneural gene responsible for differentiation of retinal ganglion cells and may also have a role in normal development of other neuronal cell types within the retina. ^ Myocilin has two unique protein coding regions bearing homology to non-muscle myosin of Dictyostelium discoideum and to olfactomedin, an extracellular matrix molecule first described in the olfactory epithelium of the bullfrog. Recently, autosomal dominant forms of myocilin mutations have been found in individuals with primary open-angle glaucoma. The genetic linkage to glaucoma suggests a role of myocilin in normal intraocular pressure and ocular function. However, the analysis of mice heterozygous and homozygous for a targeted null mutation in myocilin indicates that it is dispensable for normal intraocular pressure or ocular function. Additionally, the lack of a discernable phenotype in both heterozygous and null mice suggests that haploinsufficiency is not a critical mechanism for MYOC-associated glaucoma in humans. Instead, disease-causing mutations likely act by gain of function. ^ In summary, these studies provide novel insights into the embryonic development of the vertebrate retina, and also begin to uncover the molecular mechanisms responsible for the pathogenesis of glaucoma. ^

The eukaryotic cellular stress response: Biochemical and genetic analyses in Saccharomyces cerevisiae

All cells must have the ability to deal with a variety of environmental stresses. Failure to correctly adapt to and/or protect against adverse stress conditions can lead to cell death. In humans, stress response defects have been linked to a number of neurodegenerative diseases and cancer, underscoring the importance of developing a fundamental understanding of the eukaryotic stress response.^ In an effort to characterize cellular response to high temperature stress, I identified and described one member of a novel gene family— RTR1. I show that the RTR1 gene and its protein product genetically and biochemically interact with core subunits of the RNA polymerase II enzyme. Appropriately, loss of RTR1 results in defective transcription from multiple promoters. These data provide evidence that Rtr1, which is essential under stress conditions, acts as a key regulator of transcription.^ In addition to transcriptional regulation, cells deal with many stressors by inducing molecular chaperones. Molecular chaperones are ubiquitous in all living cells and bind unfolded or damaged proteins and catalyze refolding or degradation. Hsp90 is a unique chaperone because it targets specific clients—typically signaling proteins—for maturation. While it has been shown that Sse1, the yeast Hsp110, is a critical regulator of the Hsp90 chaperone cycle, this work describes the molecular basis for that regulation. I show that Sse1 modulates Hsp90 function through regulation of Hsp70 nucleotide exchange. Further, Hsp110-type nucleotide exchange factors (NEFs) appear to have a specific role in modulating Hsp90 function in this manner. Finally, in addition to Hsp110, the eukaryotic cytosol contains two other types of Hsp70 NEF: Snl1 (BAG-domain protein) and Fes1 (HspBP1-like protein). I investigated the cellular roles of these NEFs to better understand the reason that eukaryotic cells contain three distinct protein families that perform the same biochemical function. I show that while cytsolic Hsp70 NEFs have some degree of functional overlap, they also exhibit striking divergence. Taken together, the work presented in this dissertation provides a more detailed understanding of the eukaryotic stress response. ^

Infectious diseases, immune status, and health insurance among child care providers in Houston, Texas

The objectives of this study were to compare female child-care providers with female university workers and with mothers of children in child-care centers for: (1) frequency of illness and work loss days due to infectious diseases, (2) prevalence of antibodies against measles, rubella, mumps, hepatitis B, hepatitis A, chickenpox and cytomegalovirus (CMV), and (3) status regarding health insurance and job benefits.^ Subjects from twenty child-care centers and twenty randomly selected departments of a university in Houston, Texas were studied in a cross-sectional fashion.^ A cluster sample of 281 female child-care providers from randomly selected child-care centers, a cluster sample of 286 university workers from randomly selected departments and a systematic sample of 198 mothers of children from randomly selected child-care centers.^ Main outcome measures were: (1) self-reported frequency of infectious diseases and number of work-days lost due to infectious diseases; (2) presence of antibodies in blood; and (3) self-reported health insurance and job benefits.^ In comparison to university workers, child-care providers reported a higher prevalence of infectious diseases in the past 30 days; lost three times more work-days due to infectious diseases; and were more likely to have anti-core antibodies against hepatitis B (odds ratio = 3.16 95% CI 1.27-7.85) and rubella (OR 1.88, 95% CI 1.02-3.45). Child-care providers had less health insurance and job-related benefits than mothers of children attending child-care centers.^ Regulations designed to reduce transmission of vaccine and non-vaccine preventable diseases in child-care centers should be strictly enforced. In addition policies to improve health insurance and job benefits of child-care providers are urgently needed. ^

THE NATURAL AND ORTHOGONAL INTERACTION (NOIA) MODELS FOR QUANTITATIVE TRAITS (QTs) AND COMPLEX DISEASES

My dissertation focuses on developing methods for gene-gene/environment interactions and imprinting effect detections for human complex diseases and quantitative traits. It includes three sections: (1) generalizing the Natural and Orthogonal interaction (NOIA) model for the coding technique originally developed for gene-gene (GxG) interaction and also to reduced models; (2) developing a novel statistical approach that allows for modeling gene-environment (GxE) interactions influencing disease risk, and (3) developing a statistical approach for modeling genetic variants displaying parent-of-origin effects (POEs), such as imprinting. In the past decade, genetic researchers have identified a large number of causal variants for human genetic diseases and traits by single-locus analysis, and interaction has now become a hot topic in the effort to search for the complex network between multiple genes or environmental exposures contributing to the outcome. Epistasis, also known as gene-gene interaction is the departure from additive genetic effects from several genes to a trait, which means that the same alleles of one gene could display different genetic effects under different genetic backgrounds. In this study, we propose to implement the NOIA model for association studies along with interaction for human complex traits and diseases. We compare the performance of the new statistical models we developed and the usual functional model by both simulation study and real data analysis. Both simulation and real data analysis revealed higher power of the NOIA GxG interaction model for detecting both main genetic effects and interaction effects. Through application on a melanoma dataset, we confirmed the previously identified significant regions for melanoma risk at 15q13.1, 16q24.3 and 9p21.3. We also identified potential interactions with these significant regions that contribute to melanoma risk. Based on the NOIA model, we developed a novel statistical approach that allows us to model effects from a genetic factor and binary environmental exposure that are jointly influencing disease risk. Both simulation and real data analyses revealed higher power of the NOIA model for detecting both main genetic effects and interaction effects for both quantitative and binary traits. We also found that estimates of the parameters from logistic regression for binary traits are no longer statistically uncorrelated under the alternative model when there is an association. Applying our novel approach to a lung cancer dataset, we confirmed four SNPs in 5p15 and 15q25 region to be significantly associated with lung cancer risk in Caucasians population: rs2736100, rs402710, rs16969968 and rs8034191. We also validated that rs16969968 and rs8034191 in 15q25 region are significantly interacting with smoking in Caucasian population. Our approach identified the potential interactions of SNP rs2256543 in 6p21 with smoking on contributing to lung cancer risk. Genetic imprinting is the most well-known cause for parent-of-origin effect (POE) whereby a gene is differentially expressed depending on the parental origin of the same alleles. Genetic imprinting affects several human disorders, including diabetes, breast cancer, alcoholism, and obesity. This phenomenon has been shown to be important for normal embryonic development in mammals. Traditional association approaches ignore this important genetic phenomenon. In this study, we propose a NOIA framework for a single locus association study that estimates both main allelic effects and POEs. We develop statistical (Stat-POE) and functional (Func-POE) models, and demonstrate conditions for orthogonality of the Stat-POE model. We conducted simulations for both quantitative and qualitative traits to evaluate the performance of the statistical and functional models with different levels of POEs. Our results showed that the newly proposed Stat-POE model, which ensures orthogonality of variance components if Hardy-Weinberg Equilibrium (HWE) or equal minor and major allele frequencies is satisfied, had greater power for detecting the main allelic additive effect than a Func-POE model, which codes according to allelic substitutions, for both quantitative and qualitative traits. The power for detecting the POE was the same for the Stat-POE and Func-POE models under HWE for quantitative traits.