THE CLINICAL AND PARASITOLOGIC COURSES OF PLASMODIUM FALCIPARUM AND PLASMODIUM VIVAX INFECTIONS IN HUMANS: AN ANALYSIS OF 432 EPISODES OF INDUCED MALARIA IN THE JESSUP VOLUNTEER STUDIES, 1966-1975

The clinical records of 432 P. falciparum and P. vivax infected volunteer male inmates of the Maryland House of Corrections in Jessup, Maryland, were studied to determine (1) the clinical and parasitologic courses of infections in both parasite species, and (2) the influence of previous homologous and/or heterologous strain exposures on subsequent infections. The clinical and parasitologic courses of infection with both P. falciparum and P. vivax species indicated that: (a) there were characteristic strain related differences between P. falciparum and P. vivax. P. falciparum strains were more apt to cause severe infections than P. vivax strains. (b) Blood-induced infections produced significantly shorter prepatent and incubation periods than mosquito-induced. (c) Blacks tolerated the infections better than whites and, (d) homologous and heterologous strain immunities persisted with previous malaria history. In previously exposed cases, clinical manifestations were moderate, peak fever lowered, and peak parasitemias limited. (e) Anti-malarial drugs were effective in reducing sexual and asexual forms of the malaria parasite, and limiting peak fevers, irrespective of method of induction, race, parasite strain and species, and drug type used.^ Given these findings, and the current worldwide resurgence of malaria, this study has major implications in terms of setting malaria control and public health policies in both developed and developing countries.^

Understanding Impediments and Enablers to Physical Activity among African American Adults: A Systematic Review of Qualitative Studies

Objective: To systematically assess and summarize impediments and facilitating factors impacting physical activity participation among African American Adults. ^ Method: A systematic search of the literature was conducted, which included electronic databases, as well as reference list of relevant papers. Only qualitative studies which measured race and ethnicity and had African American as adult participants were included. The main themes and categories from the qualitative studies pertaining to impediments and facilitators to physical activity were identified and summarized, through descriptive meta-synthesis. ^ Result: Twenty nine qualitative studies were included. Twenty-one of the studies only focused on adult African American women, and the barriers and facilitators to physical activity as perceived by them. The biggest individual enabler towards physical activity was the positive health benefits associated with regular physical activity. Social support and easy access to parks and facilities were also identified as enablers. Barriers toward physical activity were lack of time, lack of motivation, long work hours, and physical disabilities. ^ Conclusions: The findings of this review study should be useful to those planning an intervention in African American communities. There is also a need for qualitative studies conducted only among African American men, to better understand their perspective on the facilitators and barriers to physical activity.^

Statistical issues on studies of mixed longitudinal design

Mixed longitudinal designs are important study designs for many areas of medical research. Mixed longitudinal studies have several advantages over cross-sectional or pure longitudinal studies, including shorter study completion time and ability to separate time and age effects, thus are an attractive choice. Statistical methodology used in general longitudinal studies has been rapidly developing within the last few decades. Common approaches for statistical modeling in studies with mixed longitudinal designs have been the linear mixed-effects model incorporating an age or time effect. The general linear mixed-effects model is considered an appropriate choice to analyze repeated measurements data in longitudinal studies. However, common use of linear mixed-effects model on mixed longitudinal studies often incorporates age as the only random-effect but fails to take into consideration the cohort effect in conducting statistical inferences on age-related trajectories of outcome measurements. We believe special attention should be paid to cohort effects when analyzing data in mixed longitudinal designs with multiple overlapping cohorts. Thus, this has become an important statistical issue to address. ^ This research aims to address statistical issues related to mixed longitudinal studies. The proposed study examined the existing statistical analysis methods for the mixed longitudinal designs and developed an alternative analytic method to incorporate effects from multiple overlapping cohorts as well as from different aged subjects. The proposed study used simulation to evaluate the performance of the proposed analytic method by comparing it with the commonly-used model. Finally, the study applied the proposed analytic method to the data collected by an existing study Project HeartBeat!, which had been evaluated using traditional analytic techniques. Project HeartBeat! is a longitudinal study of cardiovascular disease (CVD) risk factors in childhood and adolescence using a mixed longitudinal design. The proposed model was used to evaluate four blood lipids adjusting for age, gender, race/ethnicity, and endocrine hormones. The result of this dissertation suggest the proposed analytic model could be a more flexible and reliable choice than the traditional model in terms of fitting data to provide more accurate estimates in mixed longitudinal studies. Conceptually, the proposed model described in this study has useful features, including consideration of effects from multiple overlapping cohorts, and is an attractive approach for analyzing data in mixed longitudinal design studies.^

Molecular epidemiological studies on genetic predispositions to squamous cell carcinoma of the head and neck

Two molecular epidemiological studies were conducted to examine associations between genetic variation and risk of squamous cell carcinoma of the head and neck (SCCHN). In the first study, we hypothesized that genetic variation in p53 response elements (REs) may play roles in the etiology of SCCHN. We selected and genotyped five polymorphic p53 REs as well as a most frequently studied p53 codon 72 (Arg72Pro, rs1042522) polymorphism in 1,100 non-Hispanic White SCCHN patients and 1,122 age-and sex-matched cancer-free controls recruited at The University of Texas M. D. Anderson Cancer Center. In multivariate logistic regression analysis with adjustment for age, sex, smoking and drinking status, marital status and education level, we observed that the EOMES rs3806624 CC genotype had a significant effect of protection against SCCHN risk (adjusted odds ratio= 0.79, 95% confidence interval =0.64–0.98), compared with the -838TT+CT genotypes. Moreover, a significantly increased risk associated with the combined genotypes of p53 codon 72CC and EOMES -838TT+CT was observed, especially in the subgroup of non-oropharyneal cancer patients. The values of false-positive report probability were also calculated for significant findings. In the second study, we assessed the association between SCCHN risk and four potential regulatory single nucleotide polymorphisms (SNPs) of DEC1 (deleted in esophageal cancer 1) gene, a candidate tumor suppressor gene for esophageal cancer. After adjustment for age, sex, and smoking and drinking status, the variant -606CC (i.e., -249CC) homozygotes had a significantly reduced SCCHN risk (adjusted odds ratio = 0.71, 95% confidence interval = 0.52–0.99), compared with the -606TT homozygotes. Stratification analyses showed that a reduced risk associated with the -606CC genotype was more pronounced in subgroups of non-smokers, non-drinkers, younger subjects (defined as ≤ 57 years), carriers of TP53 Arg/Arg (rs1042522) genotype, patients with oropharyngeal cancer or late-stage SCCHN. Further in silico analysis revealed that the -249 T-to-C change led to a gain of a transcription factor binding site. Additional functional analysis showed that the -249T-to-C change significantly enhanced transcriptional activity of the DEC1 promoter and the DNA-protein binding activity. We conclude that the DEC1 promoter -249 T>C (rs2012775) polymorphism is functional, modulating susceptibility to SCCHN among non-Hispanic Whites. Additional large-scale, preferably population-based studies are needed to validate our findings.^

A hybrid method in combining treatment effects from matched and unmatched studies

In the biomedical studies, the general data structures have been the matched (paired) and unmatched designs. Recently, many researchers are interested in Meta-Analysis to obtain a better understanding from several clinical data of a medical treatment. The hybrid design, which is combined two data structures, may create the fundamental question for statistical methods and the challenges for statistical inferences. The applied methods are depending on the underlying distribution. If the outcomes are normally distributed, we would use the classic paired and two independent sample T-tests on the matched and unmatched cases. If not, we can apply Wilcoxon signed rank and rank sum test on each case. ^ To assess an overall treatment effect on a hybrid design, we can apply the inverse variance weight method used in Meta-Analysis. On the nonparametric case, we can use a test statistic which is combined on two Wilcoxon test statistics. However, these two test statistics are not in same scale. We propose the Hybrid Test Statistic based on the Hodges-Lehmann estimates of the treatment effects, which are medians in the same scale.^ To compare the proposed method, we use the classic meta-analysis T-test statistic on the combined the estimates of the treatment effects from two T-test statistics. Theoretically, the efficiency of two unbiased estimators of a parameter is the ratio of their variances. With the concept of Asymptotic Relative Efficiency (ARE) developed by Pitman, we show ARE of the hybrid test statistic relative to classic meta-analysis T-test statistic using the Hodges-Lemann estimators associated with two test statistics.^ From several simulation studies, we calculate the empirical type I error rate and power of the test statistics. The proposed statistic would provide effective tool to evaluate and understand the treatment effect in various public health studies as well as clinical trials.^

Mistreatment and self-neglect in community dwelling older adults: Studies of construct validity, measurement invariance and latent classes

Mistreatment and self-neglect significantly increase the risk of dying in older adults. It is estimated that 1 to 2 million older adults experience elder mistreatment and self-neglect every year in the United States. Currently, there are no elder mistreatment and self-neglect assessment tools with construct validity and measurement invariance testing and no studies have sought to identify underlying latent classes of elder self-neglect that may have differential mortality rates. Using data from 11,280 adults with Texas APS substantiated elder mistreatment and self-neglect 3 studies were conducted to: (1) test the construct validity and (2) the measurement invariance across gender and ethnicity of the Texas Adult Protective Services (APS) Client Assessment and Risk Evaluation (CARE) tool and (3) identify latent classes associated with elder self-neglect. Study 1 confirmed the construct validity of the CARE tool following adjustments to the initial hypothesized CARE tool. This resulted in the deletion of 14 assessment items and a final assessment with 5 original factors and 43 items. Cross-validation for this model was achieved. Study 2 provided empirical evidence for factor loading and item-threshold invariance of the CARE tool across gender and between African-Americans and Caucasians. The financial status domain of the CARE tool did not function properly for Hispanics and thus, had to be deleted. Subsequent analyses showed factor loading and item-threshold invariance across all 3 ethnic groups with the exception of some residual errors. Study 3 identified 4-latent classes associated with elder self-neglect behaviors which included individuals with evidence of problems in the areas of (1) their environment, (2) physical and medical status, (3) multiple domains and (4) finances. Overall, these studies provide evidence supporting the use of APS CARE tool for providing unbiased and valid investigations of mistreatment and neglect in older adults with different demographic characteristics. Furthermore, the findings support the underlying notion that elder self-neglect may not only occur along a continuum, but that differential types may exist. All of which, have very important potential implications for social and health services distributed to vulnerable mistreated and neglected older adults.^

Baseline evaluation of environmental physical activity and nutrition support of Texas Medical Center hospital worksites

Background: Obesity is a major health problem in the United States that has reached epidemic proportions. With most U.S adults spending the majority of their waking hours at work, the influence of the workplace environment on obesity is gaining in importance. Recent research implicates worksites as providing an 'obesogenic' environment as they encourage overeating and reduce the opportunity for physical activity. Objective: The aim of this study is to describe the nutrition and physical activity environment of Texas Medical Center (TMC) hospitals participating in the Shape Up Houston evaluation study to develop a scoring system to quantify the environmental data collected using the Environmental Assessment Tool (EAT) survey and to assess the inter-observer reliability of using the EAT survey. Methods: A survey instrument that was adapted from the Environmental Assessment Tool (EAT) developed by Dejoy DM et al in 2008 to measure the hospital environmental support for nutrition and physical activity was used for this study. The inter-observer reliability of using the EAT survey was measured and total percent agreement scores were computed. Most responses on the EAT survey are dichotomous (Yes and No) and these responses were coded with a '0' for a 'no' response and a '1' for a 'yes' response. A summative scoring system was developed to quantify these responses. Each hospital was given a score for each scale and subscale on the EAT survey in addition to a total score. All analyses were conducted using Stata 11 software. Results: High inter-observer reliability is observed using EAT. The percentage agreement scores ranged from 94.4%–100%. Only 2 of the 5 hospitals had a fitness facility onsite and scores for exercise programs and outdoor facilities available for hospital employees ranged from 0–62% and 0–37.5%, respectively. The healthy eating percentage for hospital cafeterias range from 42%–92% across the different hospitals while the healthy vending scores were 0%–40%. The total TMC 'healthy hospital' score was 49%. Conclusion: The EAT survey is a reliable instrument for measuring the physical activity and nutrition support environment of hospital worksites. The study results showed a large variability among the TMC hospitals in the existing physical activity and nutrition support environment. This study proposes cost effective policy changes that can increase environmental support to healthy eating and active living among TMC hospital employees.^

BAYESIAN STATISTICAL METHODS IN GENE-ENVIRONMENT AND GENE-GENE INTERACTION STUDIES

Complex diseases such as cancer result from multiple genetic changes and environmental exposures. Due to the rapid development of genotyping and sequencing technologies, we are now able to more accurately assess causal effects of many genetic and environmental factors. Genome-wide association studies have been able to localize many causal genetic variants predisposing to certain diseases. However, these studies only explain a small portion of variations in the heritability of diseases. More advanced statistical models are urgently needed to identify and characterize some additional genetic and environmental factors and their interactions, which will enable us to better understand the causes of complex diseases. In the past decade, thanks to the increasing computational capabilities and novel statistical developments, Bayesian methods have been widely applied in the genetics/genomics researches and demonstrating superiority over some regular approaches in certain research areas. Gene-environment and gene-gene interaction studies are among the areas where Bayesian methods may fully exert its functionalities and advantages. This dissertation focuses on developing new Bayesian statistical methods for data analysis with complex gene-environment and gene-gene interactions, as well as extending some existing methods for gene-environment interactions to other related areas. It includes three sections: (1) Deriving the Bayesian variable selection framework for the hierarchical gene-environment and gene-gene interactions; (2) Developing the Bayesian Natural and Orthogonal Interaction (NOIA) models for gene-environment interactions; and (3) extending the applications of two Bayesian statistical methods which were developed for gene-environment interaction studies, to other related types of studies such as adaptive borrowing historical data. We propose a Bayesian hierarchical mixture model framework that allows us to investigate the genetic and environmental effects, gene by gene interactions (epistasis) and gene by environment interactions in the same model. It is well known that, in many practical situations, there exists a natural hierarchical structure between the main effects and interactions in the linear model. Here we propose a model that incorporates this hierarchical structure into the Bayesian mixture model, such that the irrelevant interaction effects can be removed more efficiently, resulting in more robust, parsimonious and powerful models. We evaluate both of the 'strong hierarchical' and 'weak hierarchical' models, which specify that both or one of the main effects between interacting factors must be present for the interactions to be included in the model. The extensive simulation results show that the proposed strong and weak hierarchical mixture models control the proportion of false positive discoveries and yield a powerful approach to identify the predisposing main effects and interactions in the studies with complex gene-environment and gene-gene interactions. We also compare these two models with the 'independent' model that does not impose this hierarchical constraint and observe their superior performances in most of the considered situations. The proposed models are implemented in the real data analysis of gene and environment interactions in the cases of lung cancer and cutaneous melanoma case-control studies. The Bayesian statistical models enjoy the properties of being allowed to incorporate useful prior information in the modeling process. Moreover, the Bayesian mixture model outperforms the multivariate logistic model in terms of the performances on the parameter estimation and variable selection in most cases. Our proposed models hold the hierarchical constraints, that further improve the Bayesian mixture model by reducing the proportion of false positive findings among the identified interactions and successfully identifying the reported associations. This is practically appealing for the study of investigating the causal factors from a moderate number of candidate genetic and environmental factors along with a relatively large number of interactions. The natural and orthogonal interaction (NOIA) models of genetic effects have previously been developed to provide an analysis framework, by which the estimates of effects for a quantitative trait are statistically orthogonal regardless of the existence of Hardy-Weinberg Equilibrium (HWE) within loci. Ma et al. (2012) recently developed a NOIA model for the gene-environment interaction studies and have shown the advantages of using the model for detecting the true main effects and interactions, compared with the usual functional model. In this project, we propose a novel Bayesian statistical model that combines the Bayesian hierarchical mixture model with the NOIA statistical model and the usual functional model. The proposed Bayesian NOIA model demonstrates more power at detecting the non-null effects with higher marginal posterior probabilities. Also, we review two Bayesian statistical models (Bayesian empirical shrinkage-type estimator and Bayesian model averaging), which were developed for the gene-environment interaction studies. Inspired by these Bayesian models, we develop two novel statistical methods that are able to handle the related problems such as borrowing data from historical studies. The proposed methods are analogous to the methods for the gene-environment interactions on behalf of the success on balancing the statistical efficiency and bias in a unified model. By extensive simulation studies, we compare the operating characteristics of the proposed models with the existing models including the hierarchical meta-analysis model. The results show that the proposed approaches adaptively borrow the historical data in a data-driven way. These novel models may have a broad range of statistical applications in both of genetic/genomic and clinical studies.

Transformation studies of a nontumorigenic rat prostatic epithelial cell line with activated {\it myc\/} and {\it neu\/} oncogenes

A cloned nontumorigenic prostatic epithelial cell line, NbE-1.4, isolated from Noble (nbl/crx) rat ventral prostate, was used to examine the potential role of activated myc and neu oncogenes in prostate carcinogenesis. Transfection of SV40 promoter/enhancer driven constructs containing either v-myc, truncated c-myc, or neu-T (activated neu) oncogenes was accomplished using calcium phosphate-mediated DNA transfer. Cells were cotransfected, as necessary, with pSV2neo, allowing for selection of positive clones using the antibiotic geneticin (G418). G418 resistant colonies were pooled in some cases or limiting dilution exclusion cloned in others as described. Transfection of NbE-1.4 cells with activated myc oncogenes resulted only in the partial transformation. These cells display an altered morphology and decreased dependence on serum factors in vitro; however, saturation density, soft agar colony formation and growth assay in male athymic nude mice were all negative. Transfection and overexpression of NbE-1.4 cells with an activated neu oncogene alone resulted in tumorigenic conversion. Cell transformation was evident following an examination of the altered cellular morphology, an increased soft agar colony formation, and an acquisition of a tumorigenic potential when injected s.c. into male athymic nude mice. neu-transformed NbE-1.4 cells displayed elevated activity of the neu receptor tyrosine kinase. Furthermore, qualitative changes in tyrosine phosphorylated proteins were found in neu transformed cell clones. These changes were associated with elevated expression of mRNAs for laminin $\beta$1, $\beta$2, and procollagen type IV. The expression of fibronectin and E-cadherin, which are often lost during tumorigenesis, did not correlate with the tumorigenic phenotype. Therefore, it appears that neu oncogene overexpression has been found to be associated with the transformation of rat prostatic epithelial cells, presumably through alterations in gene expression that regulate extracellular matrix. The possible interrelationship and functional significance between neu oncogene expression and the elevated extracellular matrix gene expression is discussed. ^

Molecular studies of human high grade B cell non -Hodgkin's lymphomas

The non-Hodgkin's B cell lymphomas are a diverse group of neoplastic diseases. The incidence rate of the malignant tumors has been rising rapidly over the past twenty years in the United States and worldwide. The lack of insight to pathogenesis of the disease poses a significant problem in the early detection and effective treatment of the human malignancies. These studies attempted to investigate the molecular basis of pathogenesis of the human high grade B cell non-Hodgkin's lymphomas with a reverse genetic approach. The specific objective was to clone gene(s) which may play roles in development and progression of human high grade B cell non-Hodgkin's lymphomas.^ The messenger RNAs from two high grade B cell lymphoma lines, CJ and RR, were used for construction of cDNA libraries. Differential screening of the derived cDNA libraries yielded a 1.4 kb cDNA clone. The gene, designated as NHL-B1.4, was shown to be highly amplified and over-expressed in the high grade B cell lymphoma lines. It was not expressed in the peripheral blood lymphoid cells from normal donors. However, it was inducible in peripheral blood T lymphocytes by a T cell mitogen, PHA, but could not be activated in normal B cells by B cell mitogen PMA. Further molecular characterization revealed that the gene may have been rearranged in the RR and some other B cell lymphoma lines. The coding capacity of the cDNA has been confirmed by a rabbit reticulocyte lysate and wheat germ protein synthesis system. A recombinant protein with a molecular weight of approximate 30 kDa was visualized in autoradiogram. Polyclonal antisera have been generated by immunization of two rabbits with the NHL-B1.4 recombinant protein produced in the E. coli JM109. The derived antibody can recognize a natural protein with molecular weight of 49 kDa in cell lysate of activated peripheral T lymphocytes of normal donors and both the cell lysate and supernatant of RR B cell lymphoma lines. The possible biologic functions of the molecule has been tested preliminarily in a B lymphocyte proliferation assay. It was found that the Q-sepharose chromatograph purified supernatant of COS cell transfection could increase tritiated thymidine uptake by B lymphocytes but not by T lymphocytes. The B cell stimulatory activity of the supernatant of COS cell tranfection could be neutralized by the polyclonal antisera, indicating that the NHL-B1.4 gene product may be a molecule with BCGF-like activity.^ The expression profiles of NHL-B1.4 in normal and neoplastic lymphoid cells were consistent with the current B lymphocyte activation model and autocrine hypothesis of high grade B cell lymphomagenesis. These results suggested that the NHL-B1.4 cDNA may be a disease-related gene of human high grade B cell lymphomas, which may codes for a postulated B cell autocrine growth factor. ^

Functional studies of {\it twist\/} during mouse embryogenesis

A fundamental task in developmental biology is to understand the molecular mechanisms governing early embryogenesis. The aim of this study was to understand the developmental role of a putative basic helix-loop-helix (b-HLH) transcription factor, twist, during mouse embryogenesis.^ twist was originally identified in Drosophila as one of the zygotic genes, including snail, that were required for dorsal-ventral patterning. In Drosophila embryogenesis, twist is expressed in the cells of the ventral midline destined to form mesoderm. In embryos lacking twist expression, their ventral cells fail to form a ventral furrow and subsequently no mesoderm is formed.^ During mouse embryogenesis, twist is expressed after initial mesoderm formation in both mesoderm and cranial neural crest cell derivatives. To study the role of twist in vivo, twist-null embryos were generated by gene targeting. Embryos homozygous for the twist mutation die at midgestation. The most prominent phenotype in the present study was a failure of the cranial neural tube to close (exencephaly). twist-null embryos also showed defects in head mesenchyme, branchial arches, somites, and limb buds.^ To understand whether twist functions cell-autonomously and to investigate how twist-null cells interact with wild-type cells in vivo, twist chimeras composed of both twist-null and wild-type cells marked by the expression of the lacZgene were generated. Chimeric analysis revealed a correlation between the incidence of exencephaly and the contribution of the underlying twist-null head mesenchyme, thus strongly suggesting that twist-expressing head mesenchyme is required for the closure of the cranial neural tube. These studies have identified twist as a critical regulator for the mesenchymal fate determination within the cranial neural crest lineage. Most strikingly, twist-null head mesenchyme cells were always segregated from wild-type cells, indicating that the twist mutation altered the adhesive specificity of these cells. Furthermore, these results also indicated that twist functions cell-autonomously in the head, arch, and limb mesenchyme but non-cell-autonomously in the somites. Taken together, these studies have established the essential role of twist during mouse embryogenesis. ^

Functional studies of a LIM -homeodomain transcription factor lmx1b in murine mid -hindbrain and limb development

This thesis is centered on applying molecular genetics to study pattern formation during animal development. More specifically, this thesis describes the functional studies of a LIM-homeodomain gene called lmx1b during murine embryogenesis. Lmx1b expression is restricted to the mid-hindbrain junction as well as to the dorsal mesenchyme of the limb, suggesting important functions during mid-hindbrain and limb development. To test these possibilities, lmx1b homozygous mutant mice were generated and their limb and CNS phenotypes examined. Lmx1b homozygous mutant mice exhibit a large reduction of mid-hindbrain structures, and that their limbs are symmetrical along the dorsal-ventral axis as the result of a dorsal to ventral transformation. Taken together, these studies define essential functions for lmx1b in mid-hindbrain patteming and in dorsal limb cell fate determination. However, the molecular mechanisms which accounts for these phenotypes are unknown, and whether lmx1b has same or distinctive functions during the mid-hindbrain and limb development is also unclear. ^ Recently, insight into molecular mechanisms of mid-hindbrain patterning and limb development has resulted from the identification of several factors with restricted expression patterns within these regions. These include the secreted factors wnt-1, fgf-8, wnt-7a and the transcription factors pax-2, and en-1. Targeted disruption of any of these genes in mice suggests that these genes might be involved in similar regulatory pathways. Analysis of the expression of these genes in lmx1b mutants demonstrates that lmxlb is not required for the initiation, but is required to maintain their expression at the mid-hindbrain junction. Thus, lmxlb is not required for specifying mid-hindbrain cell fates, rather, it functions to ensure the establishment or maintenance of a proper organizing center at the mid-hindbrain junction. Interestingly, lmxlb functions cell non-autonomously in chimera analysis, which indicates that lmx1b might regulate the expression of secreted factors such as wnt-1 and/or fgf-8 in the organizing center. In contrast, lmx1b functions cell autonomously in the dorsal limb to govern dorsal ventral limb development and its expression is regulated by with wnt-7a and en-1. However, single and double mutant analysis suggest that all three genes have partially overlapping functions as well as independent functions. The results point toward a complicated network of cross-talks among all three limb axes. ^

Structural conservations and diversities of dsRNA viruses: Structural studies of the cytoplasmic polyhedrosis virus by electron cryomicroscopy and 3D reconstruction

The Reoviridae virus family is a group of economically and pathologically important viruses that have either single-, double-, or triple-shelled protein layers enclosing a segmented double stranded RNA genome. Each virus particle in this family has its own viral RNA dependent RNA polymerase and the enzymatic activities necessary for the mature RNA synthesis. Based on the structure of the inner most cores of the viruses, the Reoviridae viruses can be divided into two major groups. One group of viruses has a smooth surfaced inner core, surrounded by complete outer shells of one or two protein layers. The other group has an inner core decorated with turrets on the five-fold vertices, and could either completely lack or have incomplete outer protein layers. The structural difference is one of the determinant factors for their biological differences during the infection. ^ Cytoplasmic polyhedrosis virus (CPV) is a single-shelled, turreted virus and the structurally simplest member in Reoviridae. It causes specific chronic infections in the insect gut epithelial cells. Due to its wide range of insect hosts, CPV has been engineered as a potential insecticide for use in fruit and vegetable farming. Its unique structural simplicity, unparalleled capsid stability and ease of purification make CPV an ideal model system for studying the structural basis of dsRNA virus assembly at the highest possible resolution by electron cryomicroscopy (cryoEM) and three-dimensional (3D) reconstruction. ^ In this thesis work, I determined the first 3D structure of CPV capsids using 100 kV cryoEM. At an effective resolution of 17 Å, the full capsid reveals a 600-Å diameter, T = 1 icosahedral shell decorated with A and B spikes at the 5-fold vertices. The internal space of the empty CPV is unoccupied except for 12 mushroom-shaped densities that are attributed to the transcriptional enzyme complexes. The inside of the full capsid is packed with icosahedrally-ordered viral genomic RNA. The interactions of viral RNA with the transcriptional enzyme complexes and other capsid proteins suggest a mechanism for RNA transcription and subsequent release. ^ Second, the interactions between the turret proteins (TPs) and the major capsid shell protein (CSPs) have been identified through 3D structural comparisons of the intact CPV capsids with the spikeless CPV capsids, which were generated by chemical treatments. The differential effects of these chemical treatment experiments also indicated that CPV has a significantly stronger structural integrity than other dsRNA viruses, such as the orthoreovirus subcores, which are normally enclosed within outer protein shells. ^ Finally, we have reconstructed the intact CPV to an unprecendented 8 Å resolution from several thousand of 400kV cryoEM images. The 8 Å structure reveals interactions among the 120 molecules of each of the capsid shell protein (CSP), the large protrusion protein (LPP), and 60 molecules of the turret protein (TP). A total of 1980 α-helices and 720 β-sheets have been identified in these capsid proteins. The CSP structure is largely conserved, with the majority of the secondary structures homologous to those observed in the x-ray structures of corresponding proteins of other reoviruses, such as orthoreovirus and bluetongue virus. The three domains of TP are well positioned to play multifunctional roles during viral transcription. The completely non-equivalent interactions between LPP and CSP and those between the anchoring domain of TP and CSP account for the unparalleled stability of this structurally simplest member of the Reoviridae. ^

Functional analysis of the Galpha protein, GNA -3, in the development of Neurospora crassa using biochemical and genetic studies

Extracellular signals regulate fungal development and, to sense and respond to these cues, fungi evolved signal transduction pathways similar to those in mammalian systems. In fungi, heterotrimeric G proteins, composed of α, β, and γ subunits, transduce many signals, such as pheromones and nutrients, intracellularly to alter adenylyl cyclase and MAPK cascades activity. ^ Previously, the Gα proteins GNA-1 and GNA-2 were characterized in regulating development in the fungus Neurospora crassa. R. A. Baasiri isolated a third Gα, gna-3, and P. S. Rowley generated Δgna-3 mutants. GNA-3 belongs to a fungal Gα family that regulates cAMP metabolism and virulence. The Δ gna-3 sexual cycle is defective in homozygous crosses, producing inviable spores. Δgna-3 mutants have reduced aerial hyphae formation and derepressed asexual sporulation (conidiation), causing accumulation of asexual spores (conidia). These defects are similar to an adenylyl cyclase mutant, cr-1; cAMP supplementation suppressed Δ gna-3 and cr-1. Inappropriate conidiation and expression of a conidiation gene, con-10, were higher in Δ gna-3 than cr-1 submerged cultures; peptone suppressed conidiation. Adenylyl cyclase activity and expression demonstrated that GNA-3 regulates enzyme levels. ^ A Δgna-1 cr-1 was analyzed with F. D. Ivey to differentiate GNA-1 roles in cAMP-dependent and -independent pathways. Δ gna-1 cr-1 defects were worse than cr-1 and refractory to cAMP, suggesting that GNA-1 is necessary for sensing extracellular CAMP. Submerged culture conidiation was highest in Δgna-1 cr-1, and only high cell density Δgna-1 cultures conidiated, which correlated with con-10 levels. Transcription of a putative heat shock cognate protein was highest in Δgna-1 cr-1. ^ Functional relationships between the three Gαs was analyzed by constructing Δgna-1 Δgna-2 Δ gna-3, Δgna-1 Δgna-3, and Δgna-2 Δgna-3 strains. Δ gna-2 Δgna-3 strains exhibited intensified Δ gna-3 phenotypes; Δgna-1 Δgna-2 Δgna-3 and Δgna-1 Δ gna-3 strains were identical to Δgna-1 cr-1 on plates and were non-responsive to cAMP. The highest levels of conidiation and con-10 were detected in submerged cultures of Δ gna-1 Δgna-2 Δgna-3 and Δgna-1 Δgna-3 mutants, which was partially suppressed by peptone supplementation. Stimulation of adenylyl cyclase is completely deficient in Δgna-1 Δ gna-2 Δgna-3 and Δgna-1 Δ gna-3 strains. Δgna-3 and Δ gna-1 Δgna-3 aerial hyphae and conidiation defects were suppressed by mutation of a PKA regulatory subunit. ^

Analysis of interval -censored events in hypertension studies: Evaluation of treatment of coronary heart disease

Many statistical studies feature data with both exact-time and interval-censored events. While a number of methods currently exist to handle interval-censored events and multivariate exact-time events separately, few techniques exist to deal with their combination. This thesis develops a theoretical framework for analyzing a multivariate endpoint comprised of a single interval-censored event plus an arbitrary number of exact-time events. The approach fuses the exact-time events, modeled using the marginal method of Wei, Lin, and Weissfeld, with a piecewise-exponential interval-censored component. The resulting model incorporates more of the information in the data and also removes some of the biases associated with the exclusion of interval-censored events. A simulation study demonstrates that our approach produces reliable estimates for the model parameters and their variance-covariance matrix. As a real-world data example, we apply this technique to the Systolic Hypertension in the Elderly Program (SHEP) clinical trial, which features three correlated events: clinical non-fatal myocardial infarction, fatal myocardial infarction (two exact-time events), and silent myocardial infarction (one interval-censored event). ^