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. ^

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.

Molecular and genetic analyses of Fgf signaling during cardiac outflow tract development

Epithelial-mesenchymal tissue interactions regulate the development of derivatives of the caudal pharyngeal arches (PAs) to govern the ultimate morphogenesis of the aortic arch and outflow tract (OFT) of the heart. Disruption of these signaling pathways is thought to contribute to the pathology of a significant proportion of congenital cardiovascular defects in humans. In this study, I tested whether Fibroblast Growth Factor 15 (Fgf15), a secreted signaling molecule expressed within the PAs, is an extracellular mediator of tissue interactions during PA and OFT development. Analyses of Fgf15−/− mouse embryonic hearts revealed abnormalities primarily localized to the OFT, correlating with aberrant cardiac neural crest cell behavior. The T-box-containing transcription factor Tbx1 has been implicated in the cardiovascular defects associated with the human 22q11 Deletion Syndromes, and regulates the expression of other Fgf family members within the mouse PAs. However, expression and genetic interaction studies incorporating mice deficient for Tbx1, its upstream regulator, Sonic Hedgehog (Shh), or its putative downstream effector, Fgf8, indicated that Fgf15 functions during OFT development in a manner independent of these factors. Rather, analyses of compound mutant mice indicated that Fgf15 and Fgf9, an additional Fgf family member expressed within the PAs, genetically interact, providing insight into the factors acting in conjunction with Fgf15 during OFT development. Finally, in an effort to further characterize this Fgf15-mediated developmental pathway, promoter deletion analyses were employed to isolate a 415bp sequence 7.1Kb 5′ to the Fgf15 transcription start site both necessary and sufficient to drive reporter gene expression within the epithelium of the PAs. Sequence comparisons among multiple mammalian species facilitated the identification of evolutionarily conserved potential trans-acting factor binding sites within this fragment. Subsequent studies will investigate the molecular pathway(s) through which Fgf15 functions via identification of factors that bind to this element to govern Fgf15 gene expression. Furthermore, targeted deletion of this element will establish the developmental requirement for pharyngeal epithelium-derived Fgf15 signaling function. Taken as a whole, these data demonstrate that Fgf15 is a component of a novel, Tbx1-independent molecular pathway, functioning within the PAs in a manner cooperative with Fgf9, required for proper development of the cardiac OFT. ^

Analysis of Agrobacterium tumefaciens VirB6 and VirB9 of the VirB /D4 type IV secretion system

Agrobacterium tumefaciens uses the VirB/D4 type IV secretion system (T4SS) to translocate oncogenic DNA (T-DNA) and protein substrates to plant cells. Independent of VirD4, the eleven VirB proteins are also essential for elaboration of a conjugative pilus termed the T pilus. The focus of this thesis is the characterization and analysis of two VirB proteins, VirB6 and VirB9, with respect to substrate translocation and T pilus biogenesis. Observed stabilizing effects of VirB6 on other VirB subunits and results of protein-protein interaction studies suggest that VirB6 mediates assembly of the secretion machine and T pilus through interactions with VirB7 and VirB9. Topology studies support a model for VirB6 as a polytopic membrane protein with a periplasmic N terminus, a large internal periplasmic loop, five transmembrane segments, and a cytoplasmic C terminus. Topology studies and Transfer DNA immunoprecipitation (TrIP) assays identified several important VirB6 functional domains: (i) the large internal periplasmic loop mediates interaction of VirB6 with the T-DNA, (ii) the membrane spanning region carboxyl-terminal to the large periplasmic loop mediates substrate transfer from VirB6 to VirB8, and (iii) the terminal regions of VirB6 are required for substrate transfer to VirB2 and VirB9. To analyze structure-function relationships of VirB9, the phenotypic consequences of dipeptide insertion mutations were characterized. Substrate discriminating mutations were shown to selectively export the oncogenic T-DNA and VirE2 to plant cells or a mobilizable IncQ plasmid to bacterial cells. Mutations affecting VirB9 interactions with VirB7 and VirB10 were localized to the C- and N- terminal regions respectively. Additionally, “uncoupling” mutations identified in VirB11 and VirB6 that block T pilus assembly, but not substrate transfer to recipient cells, were also identified in VirB9. These results in conjunction with computer analysis establish that VirB9, like VirB6, is also composed of distinct regions or domains that contribute in various ways to secretion channel activity and T pilus assembly. Lastly, in vivo immunofluorescent studies suggest that VirB9 localizes to the outer membrane and may play a role similar to that of secretion/ushers of types II and III secretion systems to facilitate substrate translocation across this final bacterial barrier. ^

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.

Studies on the interaction of NADPH cytochrome P-450 reductase and cytochromes P-450

Chemical modification of cytochrome P-450 reductase was used to determine the involvement of charged amino acids in the interaction between the reductase and two forms of cytochrome P-450. Acetylation of 11 lysine residues of the reductase with acetic anhydride yielded a 20-40% decrease in the K$\sb{\rm m}$ of the reductase for cytochrome P-450b or cytochrome P-450c. Modification of carboxyl groups on the reductase with 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide (EDC) and methylamine, glycine methyl ester, or taurine as nucleophiles inhibited the interaction with the cytochromes P-450. We were able to modify 4.0, 7.9, and 5.9 carboxyl groups using methylamine, glycine methyl ester, and taurine, respectively. The apparent K$\sb{\rm m}$ for cytochrome P-450c or cytochrome P-450b was increased 1.3 to 5.2 fold. There were varied effects on the V$\sb{\rm max}$. There was no significant change in the conformation of the reductase upon chemical modification. These results strongly suggest that electrostatic interactions as well as steric constraints play a role in the binding and electron transfer step(s) between the reductase and cytochrome P-450. Cytochrome P-450 protected 0.8 moles of carboxyl residues on the reductase from being modified with EDC. These protected amino acids on the reductase are presumably involved in binding to cytochrome P-450. The specific peptide containing these amino acids has been identified. ^

Structural studies of cytochrome P4501A1: Identification of substrate and cumene hydroperoxide binding regions in the active site of P4501A1 and characterization of the P4501A1 interaction with cytochrome P450 reductase

Cytochromes P450 are a superfamily of heme-thiolate proteins that function in a concert with another protein, cytochrome P450 reductase, as terminal oxidases of an enzymatic system catalyzing the metabolism of a variety of foreign compounds and endogenous substrates. In order to better understand P450s catalytic mechanism and substrate specificity, information about the structure of the active site is necessary. Given the lack of a crystal structure of mammalian P450, other methods have been used to elucidate the substrate recognition and binding site structure in the active center. In this project I utilized the photoaffinity labeling technique and site-directed mutagenesis approach to gain further structural insight into the active site of mammalian cytochrome P4501AI and examine the role of surface residues in the interaction of P4501A1 with the reductase. ^ Four crosslinked peptides were identified by photoaffinity labeling using diazido benzphetamine as a substrate analog. Alignment of the primary structure of cytochrome P4501A1 with that of bacterial cytochrome P450102 (the crystal structure of which is known) revealed that two of the isolated crosslinked peptides can be placed in the vicinity of heme (in the L helix region and β10-β11 sheet region of cytochrome P450102) and could be involved in substrate binding. The other two peptides were located on the surface of the protein with the label bound specifically to Lys residues that were proposed to be involved in reductase-P450 interaction. ^ Alternatively, it has been shown that some of the organic hydroperoxides can support P450 catalyzed reactions in the absence of NADPH, O2 and reductase. By means of photoaffinity labeling the cumene hydroperoxide binding region was identified. Using azidocumene as the photoaffinity label, the tripeptide T501-L502-K503 was shown to be the site where azidocumene covalently binds to P4501A1. The sequence alignment of cytochrome P4501A1 with cytochrome P450102 predicts that this region might correspond to β-sheet structure localized on the distal side of the heme ring near the I helix and the oxygen binding pocket. The role of Thr501 in the cumene hydroperoxide binding was confirmed by mutations of this residue and kinetic analysis of the effects of the mutations. ^ In addition, the role of two lysine residues, Lys271 and Lys279, in the interaction with reductase was examined by means of site-directed mutagenesis. The lysine residues were substituted with isoleucine and enzymatic activity of the wild type and the mutants were compared in reductase- and cumene hydroperoxide-supported systems. The lysine 279 residue has been shown to play a critical role in the P4501A1-reductase interaction. ^

Mutual Information for Testing Gene-Environment Interaction

Despite current enthusiasm for investigation of gene-gene interactions and gene-environment interactions, the essential issue of how to define and detect gene-environment interactions remains unresolved. In this report, we define gene-environment interactions as a stochastic dependence in the context of the effects of the genetic and environmental risk factors on the cause of phenotypic variation among individuals. We use mutual information that is widely used in communication and complex system analysis to measure gene-environment interactions. We investigate how gene-environment interactions generate the large difference in the information measure of gene-environment interactions between the general population and a diseased population, which motives us to develop mutual information-based statistics for testing gene-environment interactions. We validated the null distribution and calculated the type 1 error rates for the mutual information-based statistics to test gene-environment interactions using extensive simulation studies. We found that the new test statistics were more powerful than the traditional logistic regression under several disease models. Finally, in order to further evaluate the performance of our new method, we applied the mutual information-based statistics to three real examples. Our results showed that P-values for the mutual information-based statistics were much smaller than that obtained by other approaches including logistic regression models.

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.

Studies of the mechanism of daunorubicin carcinogenesis: Modulation by vitamin E

Daunorubicin (DNR) is an anthracycline antibiotic used as a cancer chemotherapeutic agent. However, it causes mammary adenocarcinomas in female Sprague-Dawley (SD) rats. Vitamin E (E) has been found to reduce DNR carcinogenicity. I investigated the mechanism of DNR carcinogenicity and its interaction with E in SD rats by studying DNR-DNA adduct formation and the influence of E status on DNR clearance and free radical producing and detoxifying enzymes.^ The hypothesis was that DNR exerts its tumorigenic effect via free radicals generated during redox cycling and production of reactive intermediates capable of forming DNA adducts. E was postulated to act as a protective agent through a combination of its antioxidant property, modulation of drug clearance and levels of free radical producing and detoxifying enzymes.^ DNA adduct formation was measured by the nuclease P1 $\sp{32}$P-post labeling assay. In vitro, DNR was activated by rat liver microsomes and either NADPH or cumene hydrogen peroxide (CuOOH). Rat liver DNA incubated with this mixture formed two adducts when the cofactor was NADPH and three adducts when CuOOH was used. In vivo, SD rats were treated with i.v. doses of DNR. No detectable DNR-DNA adducts were formed in liver or mammary DNA in vivo, although there was an intensification of endogenous DNA adducts.^ Groups, 1, 2, 3 and 4 of weanling female SD rats were fed 0, 100, 1,000 and 10,000 mg $\alpha$-tocopheryl acetate/kg diet respectively. A comparison of Groups 1 and 4 showed no effect of E status on clearance of 10 mg tritiated DNR/kg body weight over 72 hours. However, liver cleared DNR at a faster rate than mammary epithelial cells (MEC).^ Xanthine oxidase, which catalyzes DNR redox cycling, was significantly decreased in liver and MEC of rats in group 4 compared to groups 1, 2, and 3. Detoxifying enzymes were not dramatically affected by E supplementation. Quinone reductase in MEC was significantly increased in group 4 compared to other groups. Overall, the liver had higher levels of free radical detoxifying enzymes compared to MEC.^ These data support a role of free radicals in DNR carcinogenicity because (1) endogenous DNA adducts formed due to free radical insult are further intensified by DNR treatment in vivo, (2) MEC, the specific target of DNR carcinogenicity, cannot rapidly clear DNR and have a lower free radical detoxifying capability than liver, (3) E supplementation caused lowering of free radical generating potential via xanthine oxidase, and increased DNR detoxification due to elevation of quinone reductase in MEC. ^

The interaction of P160 BCR with BCR-ABL gene products unique to Philadelphia chromosome leukemias

The BCR gene is involved in the pathogenesis of Philadelphia chromosome-positive (Ph$\sp1$) leukemias. Typically, the 5$\sp\prime$ portion of BCR on chromosome 22 becomes fused to a 5$\sp\prime$ truncated ABL gene from chromosome 9 resulting in a chimeric BCR-ABL gene. To investigate the role of the BCR gene product, a number of BCR peptide sequences were used to generate anti-BCR antibodies for detection of BCR and BCR-ABL proteins. Since both BCR and ABL proteins have kinase activity, the anti-BCR antibodies were tested for their ability to immunoprecipitate BCR and BCR-ABL proteins from cellular lysates by use of an immunokinase assay. Antisera directed towards the C-terminal portions of P160 BCR, sequences not present in BCR-ABL proteins, were capable of co-immunoprecipitating P210 BCR-ABL from the Ph$\sp1$- positive cell line K562. Re-immunoprecipitation studies following complete denaturation showed that C-terminal BCR antisera specifically recognized P160 BCR but not P210 BCR-ABL. These and other results indicated the presence of a P160 BCR/P210 BCR-ABL protein complex in K562 cells. Experiments performed with Ph$\sp1$-positive ALL cells and uncultured Ph$\sp1$-positive patient white blood cells established the general presence of BCR/BCR-ABL protein complexes in BCR-ABL expressing cells. However, two cell lines derived from Ph$\sp1$-positive patients lacked P160 BCR/P210 BCR-ABL complexes. Lysates from one of these cell lines mixed with lysates from a cell line that expresses only P160 BCR failed to generate BCR/BCR-ABL protein complexes in vitro indicating that P160 BCR and P210 BCR-ABL do not simply oligomerize.^ Two-dimensional tryptic maps were performed on both BCR and BCR-ABL proteins labeled in vitro with $\sp{32}$P. These maps indicate that the autophosphorylation sites in BCR-ABL proteins are primarily located within BCR exon 1 sequences in both P210 and P185 BCR-ABL, and that P160 BCR is phosphorylated in trans in similar sites by the activated ABL kinase of both BCR-ABL proteins. These results provide strong evidence that P160 BCR serves as a target for the BCR-ABL oncoprotein.^ K562 cells, induced to terminally differentiate with the tumor promoter TPA, show a loss of P210 BCR-ABL kinase activity 12-18 hours after addition of TPA. This loss coincides with the loss of activity in P160 BCR/P210 BCR-ABL complexes but not with the loss of the P210 BCR-ABL, suggesting the existence of an inactive form of P210 BCR-ABL. However, a degraded BCR-ABL protein served as the kinase active form preferentially sequestered within the remaining BCR/BCR-ABL protein complex.^ The results described in this thesis form the basis for a model for BCR-ABL induced leukemias which is presented and discussed. ^

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. ^

The roles of electrostatic charge pairing in the interaction between cytochrome P-450 and NADPH-cytochrome P-450 reductase

The cytochrome P450 enzyme catalysis requires two electrons transferred from NADPH-cytochrome P450 reductase (reductase) to P450. Electrostatic charge-pairing has been proposed to be one of the major forces in the interaction between P450 and reductase. In order to obtain further insight into the molecular basis for the protein interaction, I used two methods, chemical modification and specific anti-peptide antibodies, to study the involvement and importance of charged amino acid residues. Acetylation of lysine residues of P450c and P450b by acetic anhydride dramatically inhibited the reductase-supported P450c-dependent ethoxycoumarin hydroxylation activity, but P450 activity supported by cumene hydroperoxide is relatively unchanged. The modification of lysine residues of P450c and P450b did not grossly disturb the protein conformation as revealed by several spectral studies. This differential effect of lysine modification on the P450 activity in the system reconstituted with reductase versus the system supported by cumene hydroperoxide suggested an important role for P450 lysine residues in the interaction with reductase. Using $\rm\sp{14}C$-acetic anhydride, P450 lysine residues were labelled and further identified on P450c and P450b. Those lysine residues are at position 97, 271, 279, and 407 for P450c, and 251, 384, 422, 433, and 473 for P450b. Alignment of those identified lysine residues on P450c and P450b with amino acid residues identified in other studies indicated those residues reside in three major sequence areas. Modification of arginine residues of P450b by phenylglyoxal and 2, 3-butanedione have no significant effect on P450 activity either supported by NADPH and reductase or supported by cumene hydroperoxide. Further studies using $\rm\sp{14}C$-phenylglyoxal reveals that no incorporation of phenylglyoxal into P450b was found. These results demonstrated a predominant role of lysine residues of P450 in the electrostatic interaction with reductase. To understand the protein binding sites on each of P450 and reductase, I generated three anti-peptide antibodies against regions on reductase and five anti-peptide antibodies against five putative reductase binding sites on P450c. These anti-peptide antibodies were affinity purified and characterized on ELISA and by Western blot analysis. Inhibition experiments using these antibodies demonstrated that regions 109-120 and 204-220 of reductase are probably the two major binding sites for P450. The association of reductase with cytochromes P450 and cytochrome c may rely on different mechanisms. The data from experiments using anti-peptide (P450c) antibodies supports the important role of P450c lysine residues 271/279 and 458/460 in the interaction with reductase. ^

Studies on the role of BCR in Philadelphia chromosome-positive leukemias

It is well established that the chimeric Bcr-Abl oncoprotein resulting from fusing 3$\sp\prime$ ABL sequences on chromosome 9 to 5$\sp\prime$ BCR sequences on chromosome 22 is the primary cause of Philadelphia chromosome-positive (Ph$\sp1$) leukemias. Although it is clear that the cis-Bcr sequence present within Bcr-Abl is able to activate the tyrosine kinase activity and F-actin binding capacity of Bcr-Abl which is critical for the transforming ability of BCR-ABL, the biological role of normal BCR gene product (P160 BCR) remains largely unknown. The previous finding by our lab that P160 BCR forms stable complexes with Bcr-Abl oncoprotein in Ph$\sp1$-positive leukemic cells implicated P160 BCR in the pathogenesis of Ph$\sp1$-positive leukemias. Here, we demonstrated that P160 BCR physically interacts with P210 BCR-ABL and become tyrosine phosphorylated when co-expressed with P210 BCR-ABL in COS1 cells while no tyrosine phosphorylation of P160 BCR can be detected when it is expressed alone. The results suggest that P160 BCR is a target for the Bcr-Abl tyrosine kinase. Although we were unable to detect stable physical interaction between P160 BCR and P145 c-ABL (Ib) in COS1 cells overexpressing both proteins, P160 BCR was phosphorylated on tyrosine residues when co-expressed with activated tyrosine kinase of P145 c-ABL (Ib). In addition, studies of tyrosine phosphorylation of BCR deletion mutants and 2-dimensional tryptic mapping of in vitro phosphorylated wild type and mutant (tyrosine to phenylalanine) Bcr-Abl indicated that tyrosine 177, 283 and 360 of Bcr represent some of the phosphorylation sites. Even though the significance of tyrosine phosphorylation of residues 283 and 360 of Bcr has not been determined, tyrosine phosphorylation of residue 177 within Bcr-Abl has been reported to be critical for its interaction with Grb2 molecule and subsequent activation of Ras signaling pathway. Here, we further demonstrated that tyrosine 177 phosphorylated P160 BCR is also able to bind to Grb2 molecule suggesting the role of P160 BCR in the Ras signaling pathway.^ Surprisingly, using 3$\sp\prime$ BCR antisense oligonucleotide to reduce the expression of P160 BCR without interfering with the expression of BCR-ABL resulted in increased growth or survival of B15 cells and M3.16 cells expressing either P185 BCR-ABL or P210 BCR-ABL respectively. The results provided strong arguments that P160 BCR may function as a negative regulator for cell growth.^ Considering all these results, we hypothesize that P160 BCR negatively regulate cell growth and tyrosine phosphorylation of P160 BCR turns off its growth suppressor function and turns on its growth stimulatory function. We further speculate that Bcr-Abl oncoprotein in leukemia cells stably interacts with and constitutively phosphorylates portions of P160 BCR converting it into a growth stimulatory state. In normal cells, the growth suppressor effects of P160 BCR could only be transiently and conditionally switched to growth stimulatory action by a strictly regulated cellular tyrosine kinase such as c-ABL. The model will be further discussed in the text. ^

Studies of subcellular localization and complex formation of the Agrobacterium tumefaciens transport ATPase VirB11

The VirB11 ATPase is an essential component of an Agrobacterium tumefaciens type IV bacterial secretion system that transfers oncogenic nucleoprotein complexes to susceptible plant cells. This dissertation investigates the subcellular localization and homo-oligomeric state of the VirB11 ATPase in order to provide insights about the assembly of the protein as a subunit of this membrane-associated transfer system. Subcellular fractionation studies and quantitative immunoblot analysis demonstrated that $\sim$30% of VirB11 partitioned as soluble protein and $\sim$70% was tightly associated with the bacterial cytoplasmic membrane. No differences were detected in VirB11 subcellular localization and membrane association in the presence or absence of other transport system components. Mutations in virB11 affecting protein function were mapped near the amino terminus, just upstream of a region encoding a Walker 'A' nucleotide-binding site, and within the Walker 'A' motif partitioned almost exclusively with the cytoplasmic membrane, suggesting that an activity associated with nucleotide binding could modulate the affinity of VirB11 for the cytoplasmic membrane. Merodiploid analysis of VirB11 mutant and truncation derivatives provided strong evidence that VirB11 functions as a homo- or heteromultimer and that the C-terminal half of VirB11 contains a protein interaction domain. A combination of biochemical and molecular genetic approaches suggested that VirB11 and the green fluorescence protein (GFP) formed a mixed multimer as demonstrated by immunoprecipitation experiments with anti-GFP antibodies. Second, a hybrid protein composed of VirB11 fused to the N-terminal DNA-binding domain of bacteriophage $\lambda$ cI repressor conferred immunity to $\lambda$ superinfection, demonstrating that VirB11 self-association promotes dimerization of the chimeric repressor. A conserved Walker 'A' motif, though required for VirB11 function in T-complex export, was not necessary for VirB11 self-association. Sequences in both the N- and the C-terminal halves of the protein were found to contribute to self-association of the full length protein. Chemical cross-linking experiments with His$\sb6$ tagged VirB11 suggested that VirB11 probably assembles into a higher order homo-oligomeric complex. ^