NETWORK TOPOLOGY IN HUMAN PROTEIN INTERACTION DATA PREDICTS FUNCTIONAL ASSOCIATION

High-throughput assays, such as yeast two-hybrid system, have generated a huge amount of protein-protein interaction (PPI) data in the past decade. This tremendously increases the need for developing reliable methods to systematically and automatically suggest protein functions and relationships between them. With the available PPI data, it is now possible to study the functions and relationships in the context of a large-scale network. To data, several network-based schemes have been provided to effectively annotate protein functions on a large scale. However, due to those inherent noises in high-throughput data generation, new methods and algorithms should be developed to increase the reliability of functional annotations. Previous work in a yeast PPI network (Samanta and Liang, 2003) has shown that the local connection topology, particularly for two proteins sharing an unusually large number of neighbors, can predict functional associations between proteins, and hence suggest their functions. One advantage of the work is that their algorithm is not sensitive to noises (false positives) in high-throughput PPI data. In this study, we improved their prediction scheme by developing a new algorithm and new methods which we applied on a human PPI network to make a genome-wide functional inference. We used the new algorithm to measure and reduce the influence of hub proteins on detecting functionally associated proteins. We used the annotations of the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) as independent and unbiased benchmarks to evaluate our algorithms and methods within the human PPI network. We showed that, compared with the previous work from Samanta and Liang, our algorithm and methods developed in this study improved the overall quality of functional inferences for human proteins. By applying the algorithms to the human PPI network, we obtained 4,233 significant functional associations among 1,754 proteins. Further comparisons of their KEGG and GO annotations allowed us to assign 466 KEGG pathway annotations to 274 proteins and 123 GO annotations to 114 proteins with estimated false discovery rates of <21% for KEGG and <30% for GO. We clustered 1,729 proteins by their functional associations and made pathway analysis to identify several subclusters that are highly enriched in certain signaling pathways. Particularly, we performed a detailed analysis on a subcluster enriched in the transforming growth factor β signaling pathway (P<10-50) which is important in cell proliferation and tumorigenesis. Analysis of another four subclusters also suggested potential new players in six signaling pathways worthy of further experimental investigations. Our study gives clear insight into the common neighbor-based prediction scheme and provides a reliable method for large-scale functional annotations in this post-genomic era.

Macromolecular interaction studies on FF1-3 of human CA150 and STAT1-importin alpha5 using biophysical and biochemical methods

Macromolecular interactions, such as protein-protein interactions and protein-DNA interactions, play important roles in executing biological functions in cells. However the complexity of such interactions often makes it very challenging to elucidate the structural details of these subjects. In this thesis, two different research strategies were applied on two different two macromolecular systems: X-ray crystallography on three tandem FF domains of transcription regulator CA150 and electron microscopy on STAT1-importin α5 complex. The results from these studies provide novel insights into the function-structure relationships of transcription coupled RNA splicing mediated by CA150 and the nuclear import process of the JAK-STAT signaling pathway. ^ The first project aimed at the protein-protein interaction module FF domain, which often occurs as tandem repeats. Crystallographic structure of the first three FF domains of human CA150 was determined to 2.7 Å resolution. This is the only crystal structure of an FF domain and the only structure on tandem FF domains to date. It revealed a striking connectivity between an FF domain and the next. Peptide binding assay with the potential binding ligand of FF domains was performed using fluorescence polarization. Furthermore, for the first time, FF domains were found to potentially interact with DNA. DNA binding assays were also performed and the results were supportive to this newly proposed functionality of an FF domain. ^ The second project aimed at understanding the molecular mechanism of the nuclear import process of transcription factor STAT1. The first structural model of pSTAT1-importin α5 complex in solution was built from the images of negative staining electron microscopy. Two STAT1 molecules were observed to interact with one molecule of importin α5 in an asymmetric manner. This seems to imply that STAT1 interacts with importin α5 with a novel mechanism that is different from canonical importin α-cargo interactions. Further in vitro binding assays were performed to obtain more details on the pSTAT1-importin α5 interaction. ^

A BAYESIAN APPROACH TO DOSE-RESPONSE ASSESSMENT AND DRUG-DRUG INTERACTION ANALYSIS: APPLICATION TO IN VITRO STUDIES

The considerable search for synergistic agents in cancer research is motivated by the therapeutic benefits achieved by combining anti-cancer agents. Synergistic agents make it possible to reduce dosage while maintaining or enhancing a desired effect. Other favorable outcomes of synergistic agents include reduction in toxicity and minimizing or delaying drug resistance. Dose-response assessment and drug-drug interaction analysis play an important part in the drug discovery process, however analysis are often poorly done. This dissertation is an effort to notably improve dose-response assessment and drug-drug interaction analysis. The most commonly used method in published analysis is the Median-Effect Principle/Combination Index method (Chou and Talalay, 1984). The Median-Effect Principle/Combination Index method leads to inefficiency by ignoring important sources of variation inherent in dose-response data and discarding data points that do not fit the Median-Effect Principle. Previous work has shown that the conventional method yields a high rate of false positives (Boik, Boik, Newman, 2008; Hennessey, Rosner, Bast, Chen, 2010) and, in some cases, low power to detect synergy. There is a great need for improving the current methodology. We developed a Bayesian framework for dose-response modeling and drug-drug interaction analysis. First, we developed a hierarchical meta-regression dose-response model that accounts for various sources of variation and uncertainty and allows one to incorporate knowledge from prior studies into the current analysis, thus offering a more efficient and reliable inference. Second, in the case that parametric dose-response models do not fit the data, we developed a practical and flexible nonparametric regression method for meta-analysis of independently repeated dose-response experiments. Third, and lastly, we developed a method, based on Loewe additivity that allows one to quantitatively assess interaction between two agents combined at a fixed dose ratio. The proposed method makes a comprehensive and honest account of uncertainty within drug interaction assessment. Extensive simulation studies show that the novel methodology improves the screening process of effective/synergistic agents and reduces the incidence of type I error. We consider an ovarian cancer cell line study that investigates the combined effect of DNA methylation inhibitors and histone deacetylation inhibitors in human ovarian cancer cell lines. The hypothesis is that the combination of DNA methylation inhibitors and histone deacetylation inhibitors will enhance antiproliferative activity in human ovarian cancer cell lines compared to treatment with each inhibitor alone. By applying the proposed Bayesian methodology, in vitro synergy was declared for DNA methylation inhibitor, 5-AZA-2'-deoxycytidine combined with one histone deacetylation inhibitor, suberoylanilide hydroxamic acid or trichostatin A in the cell lines HEY and SKOV3. This suggests potential new epigenetic therapies in cell growth inhibition of ovarian cancer cells.

THE INTERACTION BETWEEN INTERNAL AND EXTERNAL INFORMATION ON RELATIONAL DATA SEARCH

People often use tools to search for information. In order to improve the quality of an information search, it is important to understand how internal information, which is stored in user’s mind, and external information, represented by the interface of tools interact with each other. How information is distributed between internal and external representations significantly affects information search performance. However, few studies have examined the relationship between types of interface and types of search task in the context of information search. For a distributed information search task, how data are distributed, represented, and formatted significantly affects the user search performance in terms of response time and accuracy. Guided by UFuRT (User, Function, Representation, Task), a human-centered process, I propose a search model, task taxonomy. The model defines its relationship with other existing information models. The taxonomy clarifies the legitimate operations for each type of search task of relation data. Based on the model and taxonomy, I have also developed prototypes of interface for the search tasks of relational data. These prototypes were used for experiments. The experiments described in this study are of a within-subject design with a sample of 24 participants recruited from the graduate schools located in the Texas Medical Center. Participants performed one-dimensional nominal search tasks over nominal, ordinal, and ratio displays, and searched one-dimensional nominal, ordinal, interval, and ratio tasks over table and graph displays. Participants also performed the same task and display combination for twodimensional searches. Distributed cognition theory has been adopted as a theoretical framework for analyzing and predicting the search performance of relational data. It has been shown that the representation dimensions and data scales, as well as the search task types, are main factors in determining search efficiency and effectiveness. In particular, the more external representations used, the better search task performance, and the results suggest the ideal search performance occurs when the question type and corresponding data scale representation match. The implications of the study lie in contributing to the effective design of search interface for relational data, especially laboratory results, which are often used in healthcare activities.

Role of NonO-histone interaction in TNFalpha-suppressed prolyl-4-hydroxylase alpha1.

Inflammation is a key process in cardiovascular diseases. The extracellular matrix (ECM) of the vasculature is a major target of inflammatory cytokines, and TNFalpha regulates ECM metabolism by affecting collagen production. In this study, we have examined the pathways mediating TNFalpha-induced suppression of prolyl-4 hydroxylase alpha1 (P4Halpha1), the rate-limiting isoform of P4H responsible for procollagen hydroxylation, maturation, and organization. Using human aortic smooth muscle cells, we found that TNFalpha activated the MKK4-JNK1 pathway, which induced histone (H) 4 lysine 12 acetylation within the TNFalpha response element in the P4Halpha1 promoter. The acetylated-H4 then recruited a transcription factor, NonO, which, in turn, recruited HDACs and induced H3 lysine 9 deacetylation, thereby inhibiting transcription of the P4Halpha1 promoter. Furthermore, we found that TNFalpha oxidized DJ-1, which may be essential for the NonO-P4Halpha1 interaction because treatment with gene specific siRNA to knockout DJ-1 eliminated the TNFalpha-induced NonO-P4Halpha1 interaction and its suppression. Our findings may be relevant to aortic aneurysm and dissection and the stability of the fibrous cap of atherosclerotic plaque in which collagen metabolism is important in arterial remodeling. Defining this cytokine-mediated regulatory pathway may provide novel molecular targets for therapeutic intervention in preventing plaque rupture and acute coronary occlusion.

Human TOB, an antiproliferative transcription factor, is a poly(A)-binding protein-dependent positive regulator of cytoplasmic mRNA deadenylation.

In mammalian cells, mRNA decay begins with deadenylation, which involves two consecutive phases mediated by the PAN2-PAN3 and the CCR4-CAF1 complexes, respectively. The regulation of the critical deadenylation step and its relationship with RNA-processing bodies (P-bodies), which are thought to be a site where poly(A)-shortened mRNAs get degraded, are poorly understood. Using the Tet-Off transcriptional pulsing approach to investigate mRNA decay in mouse NIH 3T3 fibroblasts, we found that TOB, an antiproliferative transcription factor, enhances mRNA deadenylation in vivo. Results from glutathione S-transferase pull-down and coimmunoprecipitation experiments indicate that TOB can simultaneously interact with the poly(A) nuclease complex CCR4-CAF1 and the cytoplasmic poly(A)-binding protein, PABPC1. Combining these findings with those from mutagenesis studies, we further identified the protein motifs on TOB and PABPC1 that are necessary for their interaction and found that interaction with PABPC1 is necessary for TOB's deadenylation-enhancing effect. Moreover, our immunofluorescence microscopy results revealed that TOB colocalizes with P-bodies, suggesting a role of TOB in linking deadenylation to the P-bodies. Our findings reveal a new mechanism by which the fate of mammalian mRNA is modulated at the deadenylation step by a protein that recruits poly(A) nuclease(s) to the 3' poly(A) tail-PABP complex.

Analysis of a human placental lactogen gene promoter

Human placental lactogen (hPL) and human growth hormone (hGH) comprise a multigene family that share $>$90% nucleic acid sequence homology including 500 bp of 5$\sp\prime$ flanking sequence. Despite these similarities, hGH is produced in the anterior pituitary while hPL is expressed in the placenta. For most genes studied to date, regulation of expression occurs by alterations at the level of transcriptional initiation. Nuclear proteins bind specific DNA sequences in the promoter to regulate gene expression. In this study, the hPL$\sb3$ promoter was analyzed for DNA sequences that contribute to its expression. The interaction between the hPL$\sb3$ promoter and nuclear proteins was examined using nuclear extracts from placental and non-placental cells.^ To identify regulatory elements in the promoter of the hPL$\sb3$ gene, 5$\sp\prime$ deletion mutants were constructed by cleaving 1200 bp of upstream sequence with various restriction enzymes. These DNA fragments were ligated 5$\sp\prime$ to a promoterless bacterial gene chloramphenicol acetyltransferase (CAT) and transfected into JEG-3 cells, a human placental choriocarcinoma cell line. The level of CAT activity reflects the ability of the promoter mutants to activate transcription. Deletion of the sequence between $-$142 bp and $-$129 bp, relative to the start of transcription, resulted in an 8-fold decrease in CAT activity. Nuclear proteins from JEG-3, HeLa, and HepG2 (human liver cells), formed specific binding complexes with this region of the hPL$\sb3$ promoter, as shown by gel mobility shift assay. The $-$142 bp to $-$129 bp region contains a sequence similar to that of a variant binding site for the transcription factor Sp1. Sp1-like proteins were identified by DNA binding assay, in the nuclear extracts of the three cell lines. A series of G nucleotides in the hPL$\sb3$ promoter regulatory region were identified by methylation interference assay to interact with the DNA-binding proteins and the pattern obtained is similar to that for other Sp1 binding sites that have been studied. This suggests that hPL$\sb3$ may be transcriptionally regulated by Sp1 or a Sp1-like transacting factor. ^

Structural and functional studies of the human integrin $\alpha 4\beta 1$ (CD49d/CD29)

The integrin receptor $\alpha 4\beta 1$ is a cell surface heterodimer involved in a variety of highly regulated cellular interactions. The purpose of this dissertation was to identify and characterize unique structural and functional properties of the $\alpha 4\beta 1$ molecule that may be important for adhesion regulation and signal transduction. To study these properties and to establish a consensus sequence for the $\alpha 4$ subunit, cDNA encoding $\alpha 4$ was cloned and sequenced. A comparison with previously described human $\alpha 4$ sequences identified several substitutions in the $5\prime$ and $3\prime$ untranslated regions, and a nonsynonymous G to A transition in the coding region, resulting in a glutamine substitution for arginine. Further analysis of this single nucleotide substitution indicated that two variants of the $\alpha 4$ subunit exist, and when compared with three ancestrally-related species, the new form cloned in our laboratory was found to be evolutionarily conserved.^ The expression of $\alpha 4$ cDNA in transfected K562 erythroleukemia cells, and subsequent studies using flow cytofluorometric, immunochemical, and ligand binding/blocking analyses, confirmed $\alpha 4\beta 1$ as a receptor for fibronectin (FN) and vascular cell adhesion molecule-1 (VCAM-1), and provided a practical means of identifying two novel monoclonal antibody (mAb) binding epitopes on the $\alpha 4\beta 1$ complex that may play important roles in the regulation of leukocyte adhesion.^ To investigate the association of $\alpha 4\beta 1$-mediated adhesion with signals involved in the spreading of lymphocytes on FN, a quantitative method of analysis was developed using video microscopy and digital imaging. The results showed that HPB-ALL $(\alpha 4\beta 1\sp{\rm hi},\ \alpha 5\beta 1\sp-)$ cells could adhere and actively spread on human plasma FN, but not on control substrate. Many cell types which express different levels of the $\alpha 4\beta 1$ and $\alpha 5\beta 1$ FN binding integrins were examined for their ability to function in these events. Using anti-$\alpha 4$ and anti-$\alpha 5$ mAbs, it was determined that cell adhesion to FN was influenced by both $\beta 1$ integrins, while cell spreading was found to be dependent on the $\alpha 4\beta 1$ complex. In addition, inhibitors of phospholipase A$\sb2$ (PLA$\sb2$), 5-lipoxygenases, and cyclooxygenases blocked HPB-ALL cell spreading, yet had no effect on cell adhesion to FN, and the impaired spreading induced by the PLA$\sb2$ inhibitor cibacron blue was restored by the addition of exogenous arachidonic acid (AA). These results suggest that the interaction of $\alpha 4\beta 1$ with FN, the activation of PLA$\sb2,$ and the subsequent release of AA, may be involved in lymphocyte spreading. ^

Rescue from apoptosis in early (CD34 selected) versus late (CD34 unselected) human hematopoietic cells by VLA-4 and VCAM-1 dependent adhesion to bone marrow stromal cells

The interaction of hematopoietic precursor cell with bone marrow stromal cells is assumed to be important to the survival of hematopoietic precursor cells during hematopoietic cell long-term culture. Early hematopoietic stem cells are preferentially found within the stromal adherent cell fraction in primary long-term bone marrow cultures. The purpose of this dissertation was to understand the molecular mechanisms that govern these interactions for the regulation of survival and proliferation of early versus late hematopoietic cells.^ Monoclonal antibodies to the VLA-4 recognize the alpha4 beta1 integrin receptor on human hematopoietic cells. This monoclonal antibody blocks the adhesion between early hematopoietic progenitor cells (CD34 selected cells) and stromal cells when added to cultures of these cells. Addition of the VLA-4 monoclonal antibody to cultures of stromal cells and CD34 selected cells was shown to induce apoptosis of CD34 selected cells in these CD34 selected cell/stromal cell cocultures, as measured by the terminal deoxynucleotidyl transferase (TdT)-mediated dUTP-biotin nick end-labeling method. In contrast to these experiments with early hematopoietic progenitor cells (CD34+), the level of adhesion between more differentiated cells (unfractionated hematopoietic cells) and stromal cells was not significantly altered by addition of the anti-VLA-4 monoclonal antibody. Similarly, the level of apoptosis of unfractionated hematopoietic cells was not significantly increased by the addition of anti-VLA-4 monoclonal antibody to cultures of the latter cells with stromal cells. The binding of the unfractionated cells is less than that of the CD34 selected. Since there is no difference between the alpha4 beta1 integrin expression level of the early and late myeloid cells, there may be a difference in the functional state of the integrin between the early and late myeloid cells. We also show that CD34+ selected precursor cells proliferate at a higher rate when these cells are plated on recombinant VCAM-1 molecules. These data indicate that the alpha4beta1 integrin receptor (VLA-4) plays a central role in the apoptosis rescue function which results from the anchorage-dependent growth of the CD34 selected early hematopoietic cells on stromal cells. The data suggest that these apoptosis rescue pathways have less significance as the cells mature and become anchorage-independent in their growth. These data should assist in the design of systems for the ex vivo proliferation and transduction of early hematopoietic cells for genetic therapy. ^

IN VITRO INDUCTION OF XENOIMMUNE RESPONSES TO LIPOSOMES CONTAINING HUMAN COLON TUMOR ANTIGENS

Liposomes prepared with human LS174T colon tumor cell membranes induce specific primary and secondary xenogeneic immune responses in BALB/c splenocytes in vitro. The multilamellar vesicular liposomes were prepared by adding sonicated membrane fragments in 8 mM CaCl(,2) to a dried lipid film. Cytoxic splenocytes generated in vivo exhibited specificity for the LS174T cell; liposomes elicited higher levels of cytotoxicity than did membranes (P < 0.01). Secondary blastogenic responses elicited in in vivo-primed spleen cells by liposomes also produced a significantly greater (P < 0.005) response than membranes. Subsequently, in vitro induction of primary blastogenic and cytotoxic responses by liposomes were accomplished and revealed similar kinetics to that of whole LS174T cell immunogens. Specificity of the in vitro-primed spleen cells was clearly demonstrated (P < 0.01) on a variety of human tumor cells using both the primed lymphocyte and cell-mediated cytotoxicity assays. The results of competitive inhibition tests with autologous lymphoblasts demonstrated that 30% of the cytotoxic activity was directed against lymphocyte antigens.^ The adjuvant effect of liposomes was shown to be mediated primarily by tumor antigens exposed on the outer surface of liposomes. Trypsinization of the liposomes which eliminated 96% of the surface protein reduced the ability of liposomes to induce cytotoxic splenocytes. The generation of cytolytic activity with liposomes of increasing protein concentration showed that while 10 (mu)g protein was threshold, 100 (mu)g protein induced maximal responses. In addition, membrane fluidity studies revealed that rigid liposomes were significantly (P < 0.05) more efficacious than fluid liposomes in inducing cytotoxicity.^ The induction of the primary response required the presence of nonadherent splenocytes bearing the Thy-1, Lyt-1, and Lyt-2 surface markers. The role of a Lyt-123 subpopulation was suggested by the inability of both the Lyt-1 and Lyt-2 depleted populations to completely restore the cytolytic levels to normal. In addition, the interaction of I-A('+) spleen adherent cells with liposomes for at least 8 hours was required to generate maximal cytotoxic activity. The phenotype of the cytotoxic effector was Thy-1('+), Lyt-2('+), and I-A('d-).^ Incorporation of tumor antigens into liposomes has thus enabled primary immunization in vitro to human colon cancer antigens and may afford an adaptable means to evaluate and to select specific immune responses, as well as to identify colon tumor-specific determinants.^

Glucocorticoid alterations in the human type-1/type-2 cytokine balance and the role of CD28/B7 costimulation

We have recently reported that psychological stress is associated with a shift in the human type-1/type-2 cytokine balance toward a type-2 cytokine response. The mechanisms of these cytokine alterations are unknown, but likely involve glucocorticoid (GC) modulation of cytokine production. Therefore we sought to characterize the effects of GC on the in vitro human type-1/type-2 cytokine balance. We hypothesized that GC induce a type-2 cytokine shift through modulation of critical regulatory cytokines and alterations in the CD28/B7 costimulatory pathway. ^ We first sought to characterize the effect of the GC, dexamethasone (DEX), on type-1 (IFN-γ, IL-12) and type-2 (IL-4, IL-10) cytokine production by human peripheral blood mononuclear blood cells (pBMC) stimulated with a variety of T-lymphocyte and monocyte stimuli. DEX, at concentrations mimicking stress and supraphysiologic levels of cortisol, decreased IFN-γ and IL-12 production and increased IL-4 and IL-10 production, indicating a shift in the type-1/type-2 cytokine balance toward a type-2 response. Furthermore, both CD4+ and CD8+ T-lymphocytes were susceptible to the cytokine modulating effects of DEX. Furthermore, in the absence of the monocyte, the DEX-induced alterations in T-lymphocyte cytokine production were reduced, indicating that the interaction between the monocyte and T-lymphocyte plays a significant role. ^ We next determined the role of regulatory cytokines, known to modulate the type-1/type-2 cytokine balance, in the DEX-induced cytokine alterations. The addition of the recombinant IL-12p70 and IFN-γ, but not the neutralization of IL-4, IL-10 or IL-13 using monoclonal antibodies, attenuated the DEX-induced type-1/type-2 cytokine alterations. These data suggest that the DEX-induced cytokine alterations are mediated, at least in part, through the initial inhibition type-1 cytokines. Lastly, we investigated the role of the CD28/B7 costimulatory pathway in these cytokine alterations. DEX decreased the expression of CD80 and CD86 on THP-1 cells, a monocyte cell line, and the expression of CD28 and CTLA-4 on PHA-stimulated pBMC. The DEX-induced decrease in CD28 and CTLA-4 expression was attenuated by rhIL-12. Finally, CD28 activation attenuated the DEX-induced decrease in IFN-γ production, suggesting that modulation of the CD28/B7 costimulatory pathway may contribute to the DEX-induced type-1/type-2 cytokine alterations. ^

Functional and physical associations of beta1 integrins in the activation of human T lymphocytes

Adhesion involves interactions between cells or cells with extracellular matrix components and is a fundamental process for all multicellular organisms as well as many pathogenic microbes. Integrins are heterodimeric transmembrane proteins that function as adhesion molecules and transduce signals between the extracellular environment and the intracellular cytoskeletal machinery. β1 integrin subfamily is highly expressed on T lymphocytes and mediates cell spreading, adhesion and coactivation. T lymphocytes have an important role in the regulation and homeostasis of the immune system therefore, the goals of this study were to first to investigate β1 integrin interaction with fibronectin binding protein A (FnbpA), a surface protein expressed on gram-negative bacteria Staphylococcus aureus. Second, characterize the association and function of a non-integrin surface protein, CD98, with β1 integrins on T lymphocytes. ^ FnbpA binds to fibronectin (FN), also a ligand for α5β1 and α4β1 integrins on T lymphocytes. Since both bacterial proteins FnbpA and T cell integrins utilize FN, it was of interest to determine the effects FnbpA on T cell activation. Results demonstrated that recombinant FnbpA (rFnbpA) coimmobilized with OKT3 mediated T cell coactivation in a soluble FN-dependent manner. Integrin α5β1 was identified as the main integrin utilized by Staphylococcus aureus FnbpA from studies using soluble antibodies to inhibit T cell proliferation and parallel plate flow chamber assays. The mechanism of rFnbpA-mediated coactivation was one that used soluble FN as a bridge between rFnbpA and integrin α5β1 on the T lymphocyte. ^ Since integrins are utilized by T lymphocytes and bacterial proteins, it was of interest to identify proteins involved in integrin regulation. Anti-CD98 mAb 80A10 was identified and characterized from a screen to identify surface proteins involved in integrin signaling and functions. CD98 is a non-integrin protein that was sensitive to integrin inhibition in human T lymphocyte aggregation and activation, thus suggested that CD98 shared a common signaling pathway with integrins. These results led to the question of whether CD98 physically associates with β1 integrins. Fluorescence microscopy and biochemical analysis determined that CD98 is specifically associated with β1 integrin on human T lymphocytes and may be part of a larger multimolecular signaling complex. ^

17-beta estradiol and progesterone-induced alterations in human type-1/type-2 cytokine balance and the role of costimulatory and apoptotic mechanisms

Evidence suggests that sex-based differences in immune function may predispose women to numerous hypersensitivity conditions such as Systemic lupus erythematosus (SLE), Hashimoto's thyroiditis and asthma. To date, the exact mechanisms of sexual dimorphism in immunity are not fully characterized but sex hormones such as 17-β estradiol (E2) and progesterone (PR) are believed to be involved. Since E2 and PR may modulate the production of critical regulatory cytokines, we sought to characterize their effects on the in vitro human type-1/type-2 cytokine balance. We hypothesized that E2 and/or PR vary cytokine production and influence costimulatory molecule expression and apoptosis. We first described the effect of E2 and/or PR on type-1 (IFN-γ and IL-12) and type-2 (IL-4 and IL-10) cytokine production by human peripheral blood mononuclear cells (PBMC) treated with various T-lymphocyte and monocyte stimuli. E2 and/or PR were each used at concentrations similar to those found at the maternal-fetal interface during pregnancy. At this dose, E2 increased IFN-γ and IL-12 production and PR decreased IFN-γ production and tended to increase IL-4 production. Furthermore, the combination of E2+PR decreased IL-12 production. This suggests that E2 shifts the type-1/type-2 cytokine balance towards a type-1 response and that PR and E2+PR shift the balance towards a type-2 response. Next, we used intracellular cytokine detection to demonstrate that E2 and/or PR are capable of altering cytokine production of CD3+ T-cells and the CD3+CD4+ and CD3+CD8+ subsets. In addition, we used the H9 T-lymphocyte cell line and the THP-1 monocyte cell line to show that E2 and/or PR can induce cytokine effects in both T-cells and monocytes independent of their interaction. Lastly, we determined the effect of E2 and/or PR on costimulatory molecule expression and apoptosis as potential mechanisms for the cytokine-induced alterations. E2 increased and PR decreased CD80 expression on THP-1 cells and PR and E2+PR decreased CD28 expression in PBMC and Jurkat cells. Furthermore, E2, PR and E2+PR increased Fas-mediated apoptosis in Jurkat cells and E2 increased FasL expression on THP-1 cells. Thus, E2 and/or PR may alter the cytokine balance by modulating the CD28/CD80 costimulatory pathway and apoptosis. ^

Novel molecular insights into human tooth agenesis

The development of dentition is a fascinating process that involves a complex series of epithelial-mesenchymel signaling interactions. That such a precise process frequently goes awry is not surprising. Indeed, tooth agenesis is one of the most commonly inherited disorders in humans that affects up to twenty percent of the population and imposes significant functional, emotional and financial burdens on patients. Mutations in the paired box domain containing transcription factor PAX9 result in autosomal dominant tooth agenesis that primarily involves posterior dentition. Despite these advances, little is known about how PAX9 mediates key signaling actions in tooth development and how aberrations in PAX9 functions lead to tooth agenesis. As an initial step towards providing evidence for the pathogenic role of mutant PAX9 proteins, I performed a series of molecular genetic analyses aimed at resolving the structural and functional defects produced by a number of PAX9 mutations causing non-syndromic posterior tooth agenesis. It is likely that the pathogenic mechanism underlying tooth agenesis for the first two mutations studied (219InsG and IIe87Phe) is haploinsufficiency. For the six paired domain missense mutations studied, the lack of functional defects observed for three of the mutant proteins suggests that these mutations altered PAX9 function through alternate mechanisms. Next, I explored further the nature of the partnership between Pax9 and the Msx1 homeoprotein and their role in the expression of a downstream effector molecule, Bmp4. When viewed in the context of events occurring in dental mesenchyme, the results of these studies indicate that the Pax9-Msx1 protein interaction involves the localized up-regulation of Bmp4 activity that is mediated by synergistic interactions between the two transcription factors. Importantly, these assays corroborate in vivo data from mouse genetic studies and support reports of Pax9-dependent expression of Bmp4 in dental mesenchyme. Taken together, these results suggest that PAX9 mutations cause an early developmental defect due to an inability to maintain the inductive potential of dental mesenchyme through involvement in a pathway involving Msx1 and Bmp4. ^

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.