Poly(A)-binding protein-interacting protein 1 binds to eukaryotic translation initiation factor 3 to stimulate translation.

Poly(A)-binding protein (PABP) stimulates translation initiation by binding simultaneously to the mRNA poly(A) tail and eukaryotic translation initiation factor 4G (eIF4G). PABP activity is regulated by PABP-interacting (Paip) proteins. Paip1 binds PABP and stimulates translation by an unknown mechanism. Here, we describe the interaction between Paip1 and eIF3, which is direct, RNA independent, and mediated via the eIF3g (p44) subunit. Stimulation of translation by Paip1 in vivo was decreased upon deletion of the N-terminal sequence containing the eIF3-binding domain and upon silencing of PABP or several eIF3 subunits. We also show the formation of ternary complexes composed of Paip1-PABP-eIF4G and Paip1-eIF3-eIF4G. Taken together, these data demonstrate that the eIF3-Paip1 interaction promotes translation. We propose that eIF3-Paip1 stabilizes the interaction between PABP and eIF4G, which brings about the circularization of the mRNA.

Nuclear proteins interacting with an AP-1/CRE-like promoter sequence in the human TNF$\alpha$ gene

Monocyte developmental heterogeneity is reflected at the cellular level by differential activation competence, at the molecular level by differential regulation of gene expression. LPS activates monocytes to produce tumor necrosis factor-$\alpha$ (TNF). Events occurring at the molecular level necessary for TNF regulation have not been elucidated, but depend both on activation signals and the maturation state of the cell: Peripheral blood monocytes produce TNF upon LPS stimulation, but only within the first 72 hours of culture. Expression of c-fos is associated with monocytic differentiation and activation; the fos-associated protein, c-jun, is also expressed during monocyte activation. Increased cAMP levels are associated with down regulation of macrophage function, including LPS-induced TNF transcription. Due to these associations, we studied a region of the TNF promoter which resembles the binding sites for both AP-1(fos/jun) and CRE-binding protein (or ATF) in order to identify potential molecular markers defining activation competent populations of monocytic cells.^ Nuclear protein binding studies using extracts from THP-1 monocytic cells stimulated with LPS, which stimulates, or dexamethasone (Dex) or pentoxyfilline (PTX), which inhibit TNF production, respectively, suggest that a low mobility doublet complex may be involved in regulation through this promoter region. PTX or Dex increase binding of these complexes equivalently over untreated cells; approximately two hours after LPS induction, the upper complex is undetectable. The upper complex is composed of ATF2 (CRE-BP1); the lower is a heterodimer of jun/ATF2. LPS induces c-jun and thus may enhance formation of jun-ATF2 complexes. The simultaneous presence of both complexes may reduce the amount of TNF transcription through competitive binding, while a loss of the upper (ATF2) and/or gain of the lower (jun-ATF2) allow increased transcription. AP-1 elements generally transduce signals involving PKC; the CRE mediates a cAMP response, involving PKA. Thus, this element has the potential of receiving signals through divergent signalling pathways. Our findings also suggest that cAMP-induced inhibition of macrophage functions may occur via down regulation of activation-associated genes through competitive binding of particular cAMP-responsive nuclear protein complexes. ^

cDNA cloning and expression of a novel cell surface-expressed \b heparan sulfate/heparin \b interacting \b protein (HIP) from human cell lines and functional studies of a synthetic HIP peptide

Heparan sulfate proteoglycans and their corresponding binding sites have been suggested to play an important role during the initial attachment of blastocysts to uterine epithelium and human trophoblastic cell lines to uterine epithelial cell lines. Previous studies on RL95 cells, a human uterine epithelial cell line, characterized a single class of cell surface heparin/heparan sulfate (HP/HS)-binding sites. Three major HP/HS-binding peptide fragments were isolated from RL95 cell surfaces by tryptic digestion and partial amino-terminal amino acid sequence from each peptide fragment was obtained. In the current study, using the approaches of reverse transcription-polymerase chain reaction and cDNA library screening, a novel cell surface $\rm\underline{H}$P/HS $\rm\underline{i}$nteracting $\rm\underline{p}$rotein (HIP) has been isolated from RL95 cells. The full-length cDNA of HIP encodes a protein of 259 amino acids with a calculated molecular weight of 17,754 Da and pI of 11.75. Transfection of HIP cDNA into NIH-3T3 cells demonstrated cell surface expression and a size similar to that of HIP expressed by human cells. Predicted amino acid sequence indicates that HIP lacks a membrane spanning region and has no consensus sites for glycosylation. Northern blot analysis detected a single transcript of 1.3 kb in both total RNA and poly(A$\sp+$) RNA. Examination of human cell lines and normal tissues using both Northern blot and Western blot analysis revealed that HIP is differentially expressed in a variety of human cell lines and normal tissues, but absent in some cell lines examined. HIP has about 80% homology, at the level of both mRNA and protein, to a rodent protein, designated as ribosomal protein L29. Thus, members of the L29 family may be displayed on cell surfaces where they participate in HP/HS binding events. Studies on a synthetic peptide derived from HIP demonstrate that HIP peptide binds HS/HP with high selectivity and has high affinity (Kd = 10 nM) for a subset of polysaccharides found in commercial HIP preparations. Moreover, HIP peptide also binds certain forms of cell surface, but not secreted or intracellular. HS expressed by RL95 and JAR cells. This peptide supports the attachment of several human trophoblastic cell lines and a variety of mammalian adherent cell lines in a HS-dependent fashion. Furthermore, studies on the subset of HP specifically recognized by HIP peptide indicate that this high-affinity HP (HA-HP) has a larger median MW and a greater negative charge density than bulk HP. The minimum size of oligosaccharide required to bind to HIP peptide with high affinity is a septa- or octasaccharide. HA-HP also quantitatively binds to antithrombin-III (AT-III) with high affinity, indicating that HIP peptide and AT-III may recognize the same or similar oligosaccharide structure(s). Furthermore, HIP peptide antagonizes HP action and promotes blood coagulation in both factor Xa- and thrombin-dependent assays. Finally, HA-HP recognized by HP peptide is highly enriched with anticoagulant activity relative to bulk HP. Collectively, these results demonstrate that HIP may play a role in the HP/HS-involved cell-cell and cell-matrix interactions and recognizes a motif in HP similar or identical to that recognized by AT-III and therefore, may modulate blood coagulation. ^

Identification of the signal pathways modulated by expression of p210$\rm\sp{bcr-abl}$ and the inhibition of p210$\rm\sp{bcr-abl}$ transforming activity by polypeptides interacting with p210$\rm\sp{bcr-abl}$ in murine myeloid 32D cells

The Bcr-Abl fusion oncogene which resulted from a balanced reciprocal translocation between chromosome 9 and 22, t(9;22)(q11, q34), encodes a 210 KD elevated tyrosine specific protein kinase that is found in more than 95 percent of chronic myelogenous leukemia patients (CML). Increase of level of phosphorylation of tyrosine is observed on cell cycle regulatory proteins in cells overexpressing the Bcr-Abl oncogene, which activates multiple signaling pathways. In addition, distinct signals are required for transforming susceptible fibroblast and hematopoietic cells, and the minimal signals essential for transforming hematopoietic cells are yet to be defined. In the present study, we first established a tetracycline repressible p210$\rm\sp{bcr-abl}$ expression system in a murine myeloid cell line 32D c13, which depends on IL3 to grow in the presence of tetracycline and proliferate independent of IL3 in the absence of tetracycline. Interestingly, one of these sublines does not form tumors in athymic nude mice suggesting that these cells may not be completely transformed. These cells also exhibit a dose-dependent growth and expression of p210$\rm\sp{bcr-abl}$ at varying concentrations of tetracycline in the culture. However, p210$\rm\sp{bcr-abl}$ rescues IL3 deprivation induced apoptosis in a non-dose dependent fashion. DNA genotoxic damage induced by gamma-irradiation activates c-Abl tyrosine kinase, the cellular homologue of p210$\rm\sp{bcr-abl},$ and leads to activation of p38 MAP kinase in the cells. However, in the presence of p210$\rm\sp{bcr-abl}$ the irradiation failed to activate the p38 MAP kinase as examined by an antibody against phosphorylated p38 MAP kinase. Similarly, an altered tyrosine phosphorylation of the JAK1-STAT1 pathways was identified in cells constitutively overexpressing p210$\rm\sp{bcr-abl}.$ This may provided a molecular mechanism for altered therapeutic response of CML patients to IFN-$\alpha.$^ Bcr-Abl oncoprotein has multiple functional domains which have been identified by the work of others. The Bcr tetramerization domain, which may function to stabilize the association of the Bcr-Abl with actin filaments in p210$\rm\sp{bcr-abl}$ susceptible cells, are essential for transforming both fibroblast and hematopoietic cells. We designed a transcription unit encoding first 160 amino acids polypeptide of Bcr protein to test if this polypeptide can inhibit the transforming activity of the p210$\rm\sp{bcr-abl}$ oncoprotein in the 32D c13 cells. When this vector was transfected transiently along with the p210$\rm\sp{bcr-abl}$ expression vector, it can block the transforming activity of p210$\rm\sp{bcr-abl}.$ On the other hand, the retinoblastoma tumor suppressor protein (Rb), a naturally occurring negative regulator of the c-Abl kinase, the cellular homologue of Bcr-Abl oncoprotein, binds to and inhibits the c-Abl kinase in a cell cycle dependent manner. A polypeptide obtained from the carboxyl terminal end of the retinoblastoma tumor suppressor protein, in which the nuclear localization signal was mutated, was used to inhibit the kinase activity of the p210$\rm\sp{bcr-abl}$ in the cytoplasm. This polypeptide, called Rb MC-box, and its wild type form, Rb C-box, when overexpressed in the 32D cells are mainly localized in the cytoplasm. Cotransfection of a plasmid transcription unit coding for this polypeptide and the gene for the p210$\rm\sp{bcr-abl}$ resulted in reduced plating efficiency of p210$\rm\sp{bcr-abl}$ transfected IL3 independent 32D cells. Together, these results may lead to a molecular approach to therapy of CML and an in vitro assay system to identify new targets to which an inhibitory polypeptide transcription unit may be directed. ^

Integrins in human T cell function: Transdominant regulation, conformational constraints, and intracellular effectors

Integrin adhesion molecules have both positive and negative potential in the regulation of peripheral blood T cell (PB T cell) activation, yet their mechanism of action in the mediation of human T lymphocyte function remains largely undefined. The goals of this study then were to elucidate integrin signaling mechanisms in PB T cells.^ By ligating $\beta$1 integrins with mAb 18D3, it was demonstrated that costimulation of PB T cell proliferation induced by coimmobilizing antibodies specific for $\beta$1, $\beta$2, and $\beta$7 integrin subfamilies in conjunction with the anti-CD3 mAb OKT3 was inhibited. Costimulation of T cell proliferation induced by non-integrins CD4, CD26, CD28, CD44, CD45RA, or CD45RO was unaffected. Inhibition of costimulation correlated with diminished IL-2 production. In his manner, $\beta$1 integrins could regulate heterologous integrins of the $\beta$2 and $\beta$7 subfamilies in a transdominant fashion. It was also demonstrated that integrin costimulation of T cell activation was acutely sensitive to the structural conformation of $\beta$1 integrins. Using the cyclic hexapeptide CWLDVC (TBC772, which is based on the $\alpha4\beta1$ integrin binding site in fibronectin) in soluble form, it was shown that integrins locked into a conformation displaying a neo-epitope called the ligand induced binding site (LIBS) recognized by mAb 15/7 were inhibited from sending mitogenic signals to T cells. When BSA-conjugated TBC772 was coimmobilized with anti-CD3 mAb OKT3, costimulation of proliferation occurred. This suggested that temporally uncoupling integrin receptor occupancy from receptor crosslinking inhibited $\beta$1 integrin signaling mechanisms. When subsets of PB T cells were examined to determine those initially activated by integrins within 6 hours of activation, costimulation induced intracellular accumulation of IL-2 predominantly in the CD4$\sp+$ and CD45RO$\sp+$ T cell subsets. This was similar to a number of PB T cell costimulatory molecules including CD26, CD43, CD44. Only CD28 costimulated IL-2 production from both CD45RA$\sp+$ and CD45RO$\sp+$ subpopulations.^ The GTPase Rho has been implicated in regulating integrin mediated stress fiber formation and anchorage dependent growth in fibroblasts, so studies were initiated to determine if Rho played a role in integrin dependent T cell function. In order to perform this, a technique based on scrape-loading was developed to incorporate macromolecules into PB T cells that maintained their functional activity. With this technique, C3 exoenzyme from Clostridium botulinum was incorporated into PB T cells. C3 ADP-ribosylates Rho proteins on Asn$\sp{41},$ which is in close proximity to the Rho effector domain, rendering it inactive. It was demonstrated that functional Rho is not required for basal or upregulated PB T cell adhesion to $\beta$1 integrin substrates, however PB T cell homotypic aggregation induced by PMA, which is an event mediated predominantly by the integrin $\rm\alpha L\beta2,$ was delayed. PB T cells lacking Rho function displayed altered cell morphology on $\beta$1 integrin ligands, producing stellate, dendritic-like pseudopodia. Rho activity was also found to be required for integrin dependent costimulation of proliferation. When intracellular accumulation of IL-2 was measured, inactivation of Rho prevented both integrin and CD28 costimulatory activity. Rho was identified to lie upstream of signals mediating PKC activation and Ca$\sp{++}$ fluxes, as PMA and ionomycin activation of PB T cells was unaffected by the inactivation of Rho. ^

Characterization of hLodestar: A CDC5L interacting protein

Lodestar, a Drosophila maternal-effect gene, is essential for proper chromosome segregation during embryonic mitosis. Mutations in lodestar cause chromatin bridging in anaphase, preventing the sister chromatids from fully separating and leaving chromatin tangled at the metaphase plate. Drosophila lodestar protein was originally identified, in purified fractions of Drosophila Kc cell nuclear extracts, by its ability to suppress the generation of long RNA polymerase II transcripts. The human homolog of this protein (hLodestar) was cloned and studied in comparison to the Drosophila lodestar activities. The results of these studies show, similar to the Drosophila protein, hLodestar has dsDNA-dependent ATPase and transcription termination activity in vitro. hLodestar has also been shown to release RNA polymerase I and II stalled at a cyclobutane thymine dimer. Lodestar belongs to the SNF2 family of proteins, which are members of the DExH/D helicase super-family. The SNF2 family of proteins are believed to play a critical role in altering protein-DNA interactions in a variety of cellular contexts. We have recently isolated a human cDNA (hLodestar) that shares significant homology to the Drosophila lodestar gene. The 4.6 kb clone contains an open reading frame of 1162 amino acids, and shares 55% similarity and 46% identity to the Drosophila Lodestar protein sequence. Our studies looking for hLodestar interacting proteins revealed an association with CDC5L in the yeast two-hybrid system and co-immunoprecipitation experiments. CDC5L has been well documented to be a component of the spliceosome. Our data suggests hLodestar is involved in splicing through in vitro assembly and splicing reactions, in addition to its association with spliceosomes purified from HeLa nuclear extract. Although many other members of the DExH/D helicase super-family have been linked to splicing, this is the first SNF2 family member to be implicated in the splicing reaction. ^

CCTeta: A novel soluble guanylyl cyclase-interacting protein

Nitric oxide (NO) transduces most of its biological effects through activation of the heterodimeric enzyme, soluble guanylyl cyclase (sGC). Activation of sGC results in the production of 3′,5 ′-cyclic guanosine monophosphate (cGMP) from 5′ -guanosine triphosphate (GTP). In this thesis, we demonstrate a novel protein interaction between CCT (chaperonin containing t-complex polypeptide) subunit η and the α1β1 isoform of sGC. Using the yeast-two-hybrid system, CCTη was found to interact with the N-terminal portion of β1 subunit of sGC. This interaction was then confirmed in vitro with a co-immunoprecipitation from mouse brain. The interaction between these two proteins was further supported by a co-localization of the proteins within rat brain. Using the yeast-two-hybrid system, CCTη was found to bind to the N-terminal portion of sGC. In vitro assays with purified CCTη and Sf9 lysate expressing sGC resulted in a 33% inhibition of sodium nitroprusside (SNP)-stimulated sGC activity. The same assays were then performed using BAY41-2272, an NO-independent allosteric sGC activator, and CCTη had no effect on this activity. Furthermore, CCTη had no effect on the activity of αβCys105 sGC a constitutively active mutant that lacks a heme group. Of note is the fact that the full-length CCTη-expressing bacterial lysate inhibited the activity of sGC-expressing Sf9 lysate by 48% compared with GST alone. This indicates that the amino terminal 94 amino acids of CCTη are important to the inhibition of sGC activity. Lastly, a 45% inhibition of sGC activity by CCTη was seen in vivo in BE2 cells stably transfected with CCTη and treated with SNP. The fact that the inhibition of sGC was more pronounced with bacterial lysate expressing CCTη versus the purified CCTη implies that some factor in the bacterial lysate enhances the inhibitory effect of CCTη. Because the level of inhibition seen in bacterial lysate and in vivo experiments is similar, might imply that the factor that aids in CCTη effect on sGC is conserved. Together, these data suggest that CCTη is a novel type of sGC inhibitor that inhibits sGC by modifying the binding of NO to the heme group or the subsequent conformational changes induced by NO binding. ^

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.