Organization and function of platelet glycoprotein Ib-IX complex

Glycoprotein (GP) Ib-IX complex, the second most abundant receptor expressed on the platelet surface, plays critical roles in haemostasis and thrombosis by binding to its ligand, von Willebrand factor (vWF). Defect or malfunction of the complex leads to severe bleeding disorders, heart attack or stroke. Comprised of three type I transmembrane subunits—GPIbα, GPIbβ and GPIX, efficient expression of the GPIb-IX complex requires all three subunits, as evident from genetic mutations identified in the patients and reproduced in transfected Chinese hamster ovary (CHO) cells. However, how the subunits are assembled together and how the complex function is regulated is not fully clear. By probing the interactions among the three subunits in transfected cells, we have demonstrated that the transmembrane domains of the three subunits interact with one another, facilitating formation of the two membrane-proximal disulfide bonds between GPIbα and GPIbβ. We have also identified the interface between extracellular domains of GPIbβ and GPIX, and provided evidence suggesting a direct interaction between extracellular domains of GPIbα and GPIX. All of these interactions are not only critical for correct assembly and consequently efficient expression of the GPIb-IX complex on the cell surface, but also for its function, such as the proper ligand binding, since removing the two inter-subunit disulfide bonds significantly hampers vWF binding to the complex under both static and physiological flow conditions. The two inter-subunit disulfide bonds are also critical for regulating the ectodomain shedding of GPIbα by the GPIbβ cytoplasmic domain. Mutations in the juxtamembrane region of the GPIbβ cytoplasmic domain deregulate GPIbα shedding, and such deregulation is further enhanced when the two inter-subunit disulfide bonds are removed. In summary, we have established the overall organization of the GPIb-IX complex, and the importance of proper organization on its function. ^

Assessment of the effect on statistical power of regression model misspecification by using techniques of mathematical statistics and simulation study

Objectives. This paper seeks to assess the effect on statistical power of regression model misspecification in a variety of situations. ^ Methods and results. The effect of misspecification in regression can be approximated by evaluating the correlation between the correct specification and the misspecification of the outcome variable (Harris 2010).In this paper, three misspecified models (linear, categorical and fractional polynomial) were considered. In the first section, the mathematical method of calculating the correlation between correct and misspecified models with simple mathematical forms was derived and demonstrated. In the second section, data from the National Health and Nutrition Examination Survey (NHANES 2007-2008) were used to examine such correlations. Our study shows that comparing to linear or categorical models, the fractional polynomial models, with the higher correlations, provided a better approximation of the true relationship, which was illustrated by LOESS regression. In the third section, we present the results of simulation studies that demonstrate overall misspecification in regression can produce marked decreases in power with small sample sizes. However, the categorical model had greatest power, ranging from 0.877 to 0.936 depending on sample size and outcome variable used. The power of fractional polynomial model was close to that of linear model, which ranged from 0.69 to 0.83, and appeared to be affected by the increased degrees of freedom of this model.^ Conclusion. Correlations between alternative model specifications can be used to provide a good approximation of the effect on statistical power of misspecification when the sample size is large. When model specifications have known simple mathematical forms, such correlations can be calculated mathematically. Actual public health data from NHANES 2007-2008 were used as examples to demonstrate the situations with unknown or complex correct model specification. Simulation of power for misspecified models confirmed the results based on correlation methods but also illustrated the effect of model degrees of freedom on power.^

Behavioral facets of cancer chemoprevention trials

Few studies have explored factors related to participation in cancer chemoprevention trials. The purpose of this dissertation was to conduct investigations in this emerging field by studying aspects of participation at three phases of cancer chemoprevention trials: at enrollment, during a placebo run-in period, and post-trial. In all three studies, subjects had a history of cancer and were at high risk of recurrence or second primary tumors.^ The first study explored correlates of enrollment in a head and neck cancer chemoprevention trial by comparing participants and eligible nonparticipants. Of 148 subjects who met the trial's preliminary eligibility criteria, 40% enrolled. In multivariate analysis, enrollment was positively associated with being male (OR 2.36) and being employed (OR 2.73). The most commonly cited reason for declining participation among nonparticipants was transportation.^ The second study examined outcomes of an eight-week placebo run-in period in a head and neck cancer chemoprevention trial. Of 391 subjects, 91.3% were randomized after the run-in. Adherence to drug capsules ranged from 0% to 120.3% (mean $\pm$ SD, 95.8% $\pm$ 15.1). In multivariate analysis, the main variable predicting run-in outcome was race; white subjects were 3.45 times more likely to be randomized than non-white subjects. Subjects with Karnofsky scores of 100 were 2.13 times more likely to be randomized than were subjects with lower scores.^ The third study used post-trial questionnaires to assess subjects' (n = 64) perceptions of participation in a cancer chemoprevention trial. The most highly rated trial benefit was the perception of potential colon cancer prevention, and the most troublesome barrier was erroneous billing for study visits. Perceived benefits were positively associated with interest in participating in future trials of the same (p = 0.05) and longer (p = 0.02) duration, and difficulty with trial pills and procedures was inversely related to interest in future placebo-controlled trials (p = 0.01).^ These are among the first behavioral studies to be completed in the rapidly growing field of cancer chemoprevention. Much work has yet to be done, however, to advance our understanding of the complex issues relating to chemoprevention trial participation. ^

Gene-gene interaction and gene-pathway analysis of genome-wide association for schizophrenia

Schizophrenia (SZ) is a complex disorder with high heritability and variable phenotypes that has limited success in finding causal genes associated with the disease development. Pathway-based analysis is an effective approach in investigating the molecular mechanism of susceptible genes associated with complex diseases. The etiology of complex diseases could be a network of genetic factors and within the genes, interaction may occur. In this work we argue that some genes might be of small effect that by itself are neither sufficient nor necessary to cause the disease however, their effect may induce slight changes to the gene expression or affect the protein function, therefore, analyzing the gene-gene interaction mechanism within the disease pathway would play crucial role in dissecting the genetic architecture of complex diseases, making the pathway-based analysis a complementary approach to GWAS technique. ^ In this study, we implemented three novel linkage disequilibrium based statistics, the linear combination, the quadratic, and the decorrelation test statistics, to investigate the interaction between linked and unlinked genes in two independent case-control GWAS datasets for SZ including participants of European (EA) and African (AA) ancestries. The EA population included 1,173 cases and 1,378 controls with 729,454 genotyped SNPs, while the AA population included 219 cases and 288 controls with 845,814 genotyped SNPs. We identified 17,186 interacting gene-sets at significant level in EA dataset, and 12,691 gene-sets in AA dataset using the gene-gene interaction method. We also identified 18,846 genes in EA dataset and 19,431 genes in AA dataset that were in the disease pathways. However, few genes were reported of significant association to SZ. ^ Our research determined the pathways characteristics for schizophrenia through the gene-gene interaction and gene-pathway based approaches. Our findings suggest insightful inferences of our methods in studying the molecular mechanisms of common complex diseases.^

FANCM AND FAAP24 MAINTAIN GENOMIC STABILITY THROUGH COOPERATIVE AND UNIQUE FUNCTIONS

Fanconi anemia (FA) is a rare recessive genetic disease with an array of clinical manifestations including multiple congenital abnormalities, progressive bone marrow failure and profound cancer susceptibility. A hallmark of cells derived from FA patients is hypersensitivity to DNA interstrand crosslinking agents such as mitomycin C (MMC) and cisplatin, suggesting that FA- and FA-associated proteins play important roles in protecting cells from DNA interstrand crosslink (ICL) damage. Two genes involved in the FA pathway, FANCM and FAAP24, are of particular interest because they contain DNA interacting domains. However, there are no definitive patient mutations for these two genes, and the resulting lack of human genetic model system renders their functional studies difficult. In this study, I established isogenic human FANCM- and FAAP24-null mutants through homologous replacement-mediated gene targeting in HCT-116 cells, and systematically investigated the functions of FANCM and FAAP24 inchromosome stability, FA pathway activation, DNA damage checkpoint signaling, and ICL repair. I found that the FANCM-/-/FAAP24-/- double mutant was much more sensitive to DNA crosslinking agents than FANCM-/- and FAAP24-/- single mutants, suggesting that FANCM and FAAP24 possess epistatic as well as unique functions in response to ICL damage. I demonstrated that FANCM and FAAP24 coordinately support the activation of FA pathway by promoting chromatin localization of FA core complex and FANCD2 monoubiqutination. They also cooperatively function to suppress sister chromatid exchange and radial chromosome formation, likely by limiting crossovers in recombination repair. In addition, I defined novel non-overlapping functions of FANCM and FAAP24 in response to ICL damage. FAAP24 plays a major role in activating ICL-induced ATR-dependent checkpoint, which is independent of its interaction with FANCM. On the other hand, FANCM promotes recombination-independent ICL repair independently of FAAP24. Mechanistically, FANCM facilitates recruitment of nucleotide excision repair machinery and lesion bypass factors to ICL damage sites through its translocase activity. Collectively, my studies provide mechanistic insights into how genome integrity is both coordinately and independently protected by FANCM and FAAP24.

INVESTIGATING THE ROLES OF THE p63 ISOFORMS IN THE MICRORNA BIOGENESIS PATHWAY

MicroRNAs play roles in various biological processes like development, tumorigenesis, metastasis and pluripotency. My thesis work has demonstrated roles for p63, a p53 family member, in the upstream regulation of microRNA biogenesis. The p63 gene has a complex gene structure and has multiple isoforms. The TAp63 isoforms contain an acidic transcription activation domain. The ΔNp63 isoforms, lack the TA domain, but have a proline rich region critical for gene transactivation. To understand the functions of these isoforms, the Flores lab generated TAp63 and ΔNp63 conditional knock out mice. Using these mice and tissues and cells from these mice we have found that TAp63 transcriptionally regulates Dicer while ΔNp63 transcriptionally regulates DGCR8. TAp63 -/- mice are highly tumor prone. These mice develop metastatic mammary adenocarcinomas, squamous cell carcinomas, and lung adenocarcinomas to distant sites including the liver, lungs, and brain. I found that TAp63 suppresses metastasis by transcriptionally activating Dicer. TAp63 and Dicer levels were very low or lost in high grade human tumors like mammary adenocarcinomas, squamous cell carcinomas, and lung adenocarcinomas. Expression of Dicer in these tumor cell lines reduced their invasiveness. Using ΔNp63 -/- mice, I found that ΔNp63 transcriptionally activates DGCR8, resulting in a miRNA profile that is critical to reprogram cells to pluripotency. Analysis of epidermal cells derived from ΔNp63 -/- mice revealed that these cells expressed markers of pluripotency, including Sox2, Oct 4 and Nanog; however, genome-wide analysis revealed a novel profile of genes that are common between ΔNp63 -/- epidermal cells and embryonic stem cells. I also found that mouse cells depleted of ΔNp63 form chimeric mice and teratomas in SCID mice, demonstrating that ΔNp63 deficient cells are pluripotent. Further, I found that restoration of DGCR8 in ΔNp63 -/- epidermal cells reduces their pluripotency and induces terminal differentiation. I also demonstrated that iMS (induced multipotent stem) cells could be generated using human keratinocytes by knockdown of ∆Np63 or DGCR8. Taken together, my work has placed p63 and its isoforms at a critical node in controlling miRNA biogenesis.

Signal transduction of {\it HER-2\/}/{\it neu\/} receptor tyrosine kinase

Overexpression and/or amplification of HER2/neu is frequently detected in many human cancers. Activation of p185 tyrosine kinase can be achieved by point mutation, overexpression, deletion, and heterodimerization with other class I receptors. In this study I investigated the signal transduction pathways mediating the oncogenic signal of the point mutation-activated rat p185. I demonstrated that tyrosine phosphorylation of Shc and formation of Shc/Grb2 complex correlated to the transformation of NIH3T3 cells caused by the point mutation-activated rat HER2/neu. Furthermore, I observed that association with Shc was severely impaired by deletion of most of the major autophosphorylation sites of the point-mutated p185. The truncated p185 product, however, fully retained its ability to transform NIH3T3 cells, induce Shc tyrosine phosphorylation and Shc/Grb2 complex formation. These results suggest that tyrosine phosphorylation of Shc which allows formation of Shc/Grb2 complex may play an important role in cell transformation induced by the point mutation-activated p185, and that stable binding to mutant p185 may not be necessary for Shc to mediate this signaling pathway.^ Recent studies have suggested that formation of the complex containing Sos, Grb2 and Shc is important in coupling receptor tyrosine kinases to the Ras signaling pathway. To clarify the role of this trimer in the oncogenic signaling of the activated p185, I set out to interfere with the protein-protein interactions in Shc/Grb2/Sos complex by introducing Grb2 mutants with deletions in either amino- ($\Delta$N-Grb2) or carboxyl- ($\Delta$C-Grb2) terminal SH3 domains into B104-1-1 cells derived from NIH3T3 cells that express the point mutation-activated HER-2/neu. I found that the transformed phenotypes of the B104-1-1 cells were largely reversed by expression of the $\Delta$N-Grb2. The effect of the $\Delta$C-Grb2 on phenotypic reversion was much weaker. Biochemical analysis showed that the $\Delta$N-Grb2 was able to associate Shc but not the activated p185 nor Sos, while the $\Delta$C-Grb2 bound to Shc, the activated p185, and Sos. The p185-mediated Ras activation was severely inhibited by the $\Delta$N-Grb2 but not the $\Delta$C-Grb2. Taken together, these data demonstrate that interruption of the interaction between Shc and the endogenous Grb2 by the $\Delta$N-Grb2 is able to impair the oncogenic signaling of the mutation-activated p185, indicating that (i) the $\Delta$N-Grb2 functions as a strong dominant-negative mutant, (ii) Shc/Grb2/Sos pathway plays a major role in mediating the oncogenic signal of the mutation-activated p185. Unlike the $\Delta$N-Grb2, the $\Delta$C-Grb2 appears to be a relatively weak dominant-negative mutant, probably due to its ability to largely fulfill the biological functions of the wild-type Grb2. ^

Evaluation of the Hosmer -Lemeshow global goodness -of-fit statistic for mixed variable logistic regression models

The performance of the Hosmer-Lemeshow global goodness-of-fit statistic for logistic regression models was explored in a wide variety of conditions not previously fully investigated. Computer simulations, each consisting of 500 regression models, were run to assess the statistic in 23 different situations. The items which varied among the situations included the number of observations used in each regression, the number of covariates, the degree of dependence among the covariates, the combinations of continuous and discrete variables, and the generation of the values of the dependent variable for model fit or lack of fit.^ The study found that the $\rm\ C$g* statistic was adequate in tests of significance for most situations. However, when testing data which deviate from a logistic model, the statistic has low power to detect such deviation. Although grouping of the estimated probabilities into quantiles from 8 to 30 was studied, the deciles of risk approach was generally sufficient. Subdividing the estimated probabilities into more than 10 quantiles when there are many covariates in the model is not necessary, despite theoretical reasons which suggest otherwise. Because it does not follow a X$\sp2$ distribution, the statistic is not recommended for use in models containing only categorical variables with a limited number of covariate patterns.^ The statistic performed adequately when there were at least 10 observations per quantile. Large numbers of observations per quantile did not lead to incorrect conclusions that the model did not fit the data when it actually did. However, the statistic failed to detect lack of fit when it existed and should be supplemented with further tests for the influence of individual observations. Careful examination of the parameter estimates is also essential since the statistic did not perform as desired when there was moderate to severe collinearity among covariates.^ Two methods studied for handling tied values of the estimated probabilities made only a slight difference in conclusions about model fit. Neither method split observations with identical probabilities into different quantiles. Approaches which create equal size groups by separating ties should be avoided. ^

Molecular mechanisms involved in the regulation of cell polarity and genome stability by the p21 -activated kinase, Shk1, in the fission yeast, Schizosaccharomyces pombe

The essential p21-activated kinase (PAK), Shk1, is a critical component of a Ras/Cdc42/PAK complex required for cell viability, normal cell polarity, proper regulation of cytoskeletal dynamics, and sexual differentiation in the fission yeast, Schizosaccharomyces pombe. While cellular functions of PAKs have been described in eukaryotes from yeasts to mammals, the molecular mechanisms of PAK regulation and function are poorly understood. This study has characterized a novel Shk1 inhibitor, Skb15, and, in addition, identified the cell polarity regulator, Tea1, as a potential biological substrate of Shk1 in S. pombe. Skb15 is a highly conserved WD repeat protein that was discovered from a two-hybrid screen for proteins that interact with the catalytic domain of Shk1. Molecular data indicate that Skb15 negatively regulates Shk1 kinase activity in S. pombe cells. A null mutation in the skb15 gene is lethal and results in deregulation of actin polymerization and localization, microtubule biogenesis, and the cytokinetic machinery, as well as a substantial uncoupling of these processes from the cell cycle. Loss of Skb15 function is suppressed by partial loss of Shk1, demonstrating that negative regulation of Shk1 by Skb15 is required for proper execution of cytoskeletal remodeling and cytokinetic functions. A mouse homolog of Skb15 can substitute for its counterpart in fission yeast, demonstrating that Skb15 protein function has been substantially conserved through evolution. ^ Our laboratory has recently demonstrated that Shk1, in addition to regulating actin cytoskeletal organization, is required for proper regulation of microtubule dynamics in S. pombe cells. The Shk1 protein localizes to interphase and mitotic microtubules, the septum-forming region, and cell ends. This pattern of localization overlaps with that of the cell polarity regulator, Tea1, in S. pombe cells. The tea1 gene was identified by Paul Nurse's laboratory from a screen for genes involved in the control of cell morphogenesis in S. pombe. In contrast to wild type S. pombe cells, which are rod shaped, tea1 null cells are often bent and/or branched in shape. The Tea1 protein localizes to the cell ends, like Shk1, and the growing tips of interphase microtubules. Thus, experiments were performed to investigate whether Tea1 interacts with Shk1. The tea1 null mutation strongly suppresses the loss of function of Skb15, an essential inhibitor of Shk1 function. All defects associated with the skb15 mutation, including defects in F-actin organization, septation, spindle elongation, and chromosome segregation, are suppressed by tea1Δ, suggesting that Tea1 may function in these diverse processes. Consistent with a role for Tea1 in cytokinesis, tea1Δ cells have a modest cell separation defect that is greatly exacerbated by a shk1 mutation and, like Shk1, Tea1 localizes to the septation site. Molecular analyses showed that Tea1 phosphorylation is significantly dependent on Shk1 function in vivo and that bacterially expressed Tea1 protein is directly phosphorylated by recombinant Shk1 kinase in vitro. Taken together, these results identify Tea1 as a potential biological substrate of Shk1 in S. pombe. ^ In summary, this study provides new insights into a conserved regulatory mechanism for PAKs, and also begins to uncover the molecular mechanisms by which the Ras/Cdc42/PAK complex regulates the microtubule and actin cytoskeletons and cell growth polarization in fission yeast. ^