48 resultados para nonmajor histocompatibility complex gene

em DigitalCommons@The Texas Medical Center


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Tumor specific immunity is mediated by cytotoxic T lymphocytes (CTL) that recognize peptide antigen (Ag) in the context of major histocompatibility complex (MHC) class I molecules and by helper T (Th) lymphocytes that recognize peptide Ag in the context of MHC class II molecules. The purpose of this study is (1) to induce or augment the immunogenicity of nonimmunogenic or weakly immunogenic tumors by genetic modification of tumor cells, and (2) to use these genetically altered cells in cancer immunotherapy. To study this, I transfected a highly tumorigenic murine melanoma cell line (K1735) that did not express constitutively either MHC class I or II molecules with syngeneic cloned MHC class I and/or class II genes, and then determined the tumorigenicity of transfected cells in normal C3H mice. K1735 transfectants expressing either $\rm K\sp{k}$ or $\rm A\sp{k}$ molecules alone produced tumors in normal C3H mice, whereas most transfectants that expressed both molecules were rejected in normal C3H mice but produced tumors in nude mice. The rejection of K1735 transfectants expressing $\rm K\sp{k}$ and $\rm A\sp{k}$ Ag in normal C3H mice required both $\rm CD4\sp+$ and $\rm CD8\sp+$ T cells. Interestingly, the $\rm A\sp{k}$ requirement can be substituted by IL-2 because transfection of $\rm K\sp{k}$-positive/A$\sp{\rm k}$-negative K1735 cells with the IL-2 gene also resulted in abrogation of tumorigenicity in normal C3H mice but not in nude mice. In addition, 1735 $(\rm I\sp+II\sp+)$ transfected cells can function as antigen presenting cells (APC) since they could process and present native hen egg lysozyme (HEL) to HEL specific T cell hybridomas. Furthermore, the transplantation immunity induced by K1735 transfectants expressing both $\rm K\sp{k}$ and $\rm A\sp{k}$ molecules completely cross-protected mice against challenge with $\rm K\sp{k}$-positive transfectants but weakly protected them against challenge with parental K1735 cells or $\rm A\sp{k}$-positive transfectants. Finally, I demonstrated that MHC $(\rm I\sp+II\sp+)$ or $\rm K\sp{k}$-positive/IL-2-positive cells can function as anti-cancer vaccines since they can abrogate the growth of established tumors and metastasis.^ In summary, my results indicate that expression of either MHC class I or II molecule alone is insufficient to cause the rejection of K1735 melanoma in syngeneic hosts and that both molecules are necessary. In addition, my data suggest that the failure of $\rm K\sp{k}$-positive K1735 cells to induce a primary tumor-rejection response in normal C3H mice may be due to their inability to induce the helper arm of the anti-tumor immune response. Finally, the ability of MHC $(\rm I\sp+II\sp+)$ or $\rm K\sp{k}$-positive/IL-2-positive cells to prevent growth of established tumors or metastasis suggests that these cell lines can serve as potential vaccines for the immunotherapy of cancer. (Abstract shortened by UMI.) ^

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Pulmonary fibrosis (PF) is the result of a variety of environmental and cancer treatment related insults and is characterized by excessive deposition of collagen. Gas exchange in the alveoli is impaired as the normal lung becomes dense and collapsed leading to a loss of lung volume. It is now accepted that lung injury and fibrosis are in part genetically regulated. ^ Bleomycin is a chemotherapeutic agent used for testicular cancer and lymphomas that induces significant pulmonary toxicity. We delivered bleomycin to mice subcutaneously via a miniosmotic pump in order to elicit lung injury (LI) and quantified the %LI morphometrically using video imaging software. We previously identified a quantitative trait loci, Blmpf-1(LOD=17.4), in the Major Histocompatibility Complex (MHC), but the exact genetic components involved have remained unknown. ^ In the current studies, Blmpf-1 was narrowed to an interval spanning 31.9-32.9Mb on Chromosome 17 using MHC Congenic mice. This region includes the MHC Class II and III genes, and is flanked by the TNF-alpha super locus and MHC Class I genes. Knockout mice of MHC Class I genes (B2mko), MHC Class II genes (Cl2ko), and TNF-alpha (TNF-/-) and its receptors (p55-/-, p75-/-, and p55/p75-/-) were treated with bleomycin in order to ascertain the role of these genes in the pathogenesis of lung injury. ^ Cl2ko mice had significantly better survival and %LI when compared to treated background BL/6 (B6, P<.05). In contrast, B2mko showed no differences in survival or %LI compared to B6. This suggests that the MHC Class II locus contains susceptibility genes for bleomycin-induced lung injury. ^ TNF-alpha, a Class III gene, was examined and it was found that TNF-/- and p55-/- mice had higher %LI and lower survival when compared to B6 (P<.05). In contrast, p75-/- mice had significantly reduced %LI when compared to TNF-/-, p55-/-, and B6 mice as well as higher survival (P<.01). These data contradict the current paradigm that TNF-alpha is a profibrotic mediator of lung injury and suggest a novel and distinct role for the p55 and p75 receptors in mediating lung injury. ^

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A series of studies were undertaken to analyze and compare various aspects of murine class I glycoproteins. An initial area of investigation characterized the Qa-1 alloantigens using two-dimensional gel electrophoresis. Analysis of the products of the Qa-1('b), Qa-1('c) and Qa-1('d) alleles indicated that these were distinct molecules as determined by their lack of comigration upon comparative two-dimensional gel analysis. The importance of asparagine-linked glycosylation in the cell surface expression of class I molecules was also examined. These studies employed tunicamycin, an inhibitor of N-linked glycosylation. Tunicamycin treatment of activated T lymphocytes diminished the surface expression of Qa-1 to undetectable levels; the levels of other class I molecules exhibited little or no decrease. These results indicated that N-linked glycosylation has a differential importance in the cell surface expression of various class I molecules. The molecular weight diversity of class I molecules was also investigated. Molecular weight determination of both the fully glycosylated and unglycosylated forms of H-2 and Qa/Tla region encoded molecules established that there is a significant variation in the sizes of these forms of various class I molecules. The most significant difference ((TURN)9,000 daltons) exists between the unglycosylated forms of H-2K('b) and Qa-2, suggesting that the structural organization of these two molecules may be very different. A comparative two-dimensional gel analysis of various class I glycoproteins isolated from resting and activated T and B lymphocytes indicated that class I molecules expressed on activated T cells exhibited an isoelectrophoretic pattern that was distinct from the isoelectrophoretic pattern of class I molecules expessed on the other cell populations. This difference was attributed to a lower sialic acid content of the molecules expressed on activated T cells. Analysis of cell homogenates determined that activated T cells contained a higher level of endogenous neuraminidase activity than was detected in the other populations, suggesting that this may be the basis of the lower sialic acid content. The relationship of the Qa-4 and Qa-2 alloantigens was also examined. It was established that upon mitogen activation, the expression of Qa-4 was greatly decreased, whereas Qa-2 expression was not decreased. However, an anti-Qa-2 monoclonal antibody blocked the binding of an anti-Qa-4 monoclonal antibody to resting cells. These studies established that Qa-4 is a determinant restricted to resting cells, which is closely associated on the surface with the Qa-2 molecule. ^

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The invariant chain associated with the major histocompatibility complex (MHC) class II molecules is a non-polymorphic glycoprotein implicated in antigen processing and class II molecule intracellular transport. Class II molecules and invariant chain (In) are expressed primarily by B lymphocytes and antigen-presenting cells such as macrophages and can be induced by interferon gamma (IFN-$\gamma$) in a variety of cell types such as endothelial cells, fibroblasts, and astrocytes. In this study the cis-acting sequences involved in the constitutive, tissue-specific, and IFN-$\gamma$ induced expression of the human In gene were investigated and nuclear proteins which specifically bound these sequences were identified.^ To define promoter sequences involved in the regulation of the human In gene, 790 bp 5$\sp\prime$ to the initiation of transcription were subcloned upstream of the gene encoding chloramphenicol acetyl transferase (CAT). Transfection of this construct into In expressing and non-expressing cell lines demonstrated that this 790 bp In promoter sequence conferred tissue specificity to the CAT gene. Deletion mutants were created in the promoter to identify sequences important for transcription. Three regulatory regions were identified $-$396 to $-$241, $-$241 to $-$216, and $-$216 to $-$165 bp 5$\sp\prime$ to the cap site. Transfection into a human glioblastoma cell line, U-373 MG, and treatment with IFN-$\gamma$, demonstrated that this 5$\sp\prime$ region is responsive to IFN-$\gamma$. An IFN-$\gamma$ response element was sublocalized to the region $-$120 to $-$61 bp. This region contains homology to the interferon-stimulated response element (ISRE) identified in other IFN responsive genes. IFN-$\gamma$ induces a sequence-specific DNA binding factor which binds to an oligonucleotide corresponding to $-$107 to $-$79 bp of the In promoter. This factor also binds to an oligonucleotide corresponding to $-$91 to $-$62 of the interferon-$\beta$ gene promoter, suggesting this factor may be member of the IRF-1/ISGF2, IRF-2, ICSBP family of ISRE binding proteins. A transcriptional enhancer was identified in the first intron of the In gene. This element, located in a 2.6 kb BamHI/PstI fragment, enhances the IFN-$\gamma$ response of the promoter in U-373 MG. The majority of the In enhancer activity was sublocalized to a 550 bp region $\sim$1.6 kb downstream of the In transcriptional start site. ^

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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.

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Atherosclerosis is a chronic, complex arterial disease characterized by intimal lipid accumulation and inflammation. A unique lipid-binding molecule, namely cluster of differentiation 1d (CD1d), may impact atherosclerosis. Structurally, CD1d acts as a nonpolymorphic cell-surface receptor, resembling the major histocompatibility complex-I (MHC-I). While MHC-I restricts peptide antigen presentation to T cells, CD1d presents lipid antigens to T cells named CD1d-restrictedd T cells. Although increased expression of CD1d has been found in human plaques, the exact nature of CD1d-recognized lipids in atherosclerosis remains to be determined. Three groups of lipids may undergo oxidation in atherosclerosis producing atherogenic lipids: phospholipids, fatty acids, and cholesterol. The central hypothesis is that CD1d recognizes and present oxidative lipids to activate CD1d-restricted T cells, and trigger proinflammatory signal transduction In the first part of this study, oxidative phospholipids were identified and characterized as potential autoantigen for CD1d-restricted T cells. Derived from phospholipid 1-palmitoyl-2-arachidonoyl-sn-glycero-3-phosphorylcholine by oxidization, 1-palmitoyl-2-glutaryl-sn-glycero-3-phosphocholine (PGPC) is commonly found in atherosclerotic plaques. Upon stimulation with PGPC, spleen-derived CD1d-restricted T cells produced higher levels of cytokines and proliferated at higher rates than those without PGPC stimulation. CD1d deficiency compromised the PGPC-triggered T cell activation, suggesting that PGPC may function as a potentially novel autoantigen for T cells in atherosclerosis. In the second part of this study, CD1d-mediated proinflammatory signaling was evaluated in murine models. Enhanced CD1 expression occurred in spleens of db/db mice with hyperlipidemia. Tumor necrosis factor-alpha (TNF-α) was increased in db/db spleen, while TNF-α receptor expression augmented in the db/db murine heart, in comparison with those in normal mice. The nuclear factor-κ B (NF-κB) expression was enhanced in the db/db heart, whereas CD1d-null mice showed lower NF-κB, implying the involvement of CD1d in inflammation of the spleen and heart tissues in the mice with hyperlipidemia. The current study has identified PGPC as a novel lipid antigen recognized by CD1d-restricted T cells in atherosclerosis. The animal study has also provided evidence that CD1d regulates NF-κB-mediated proinflammatory signaling. Hence, CD1d-restricted T cell responses to autolipid antigen and mediated inflammatory signal may represent a new molecular pathway that triggers cardiovascular tissue injury in atherosclerosis and hyperlipidemia.

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This investigation examined the clonal dynamics of B-cell expression and evaluated the role of idiotype network interactions in shaping the expressed secondary B-cell repertoire. Three interrelated experimental approaches were applied. The first approach was designed to distinguish between regulatory influences controlled by the major histocompatibility complex (MHC) and regulatory influences controlled by non-MHC factors including the idiotype network. This approach consisted of studies on the clonal dynamics and heterogeneity of the expressed IgG antibody repertoire of BALB/c mice. The second approach involved the analysis of the clonal dynamics of antibody responses of outbred rabbits. This analysis was coupled with studies to detect the occurrence and activity of constituents of the idiotype network. In the third approach the transfer of rabbit lymphocytes from immunized donors to MHC matched naive recipients was used to examine the effects of recipient non-MHC immunoregulatory influences on the expression of donor memory B-cells. Although many memory B cells were unaffected by non-MHC influences, these data show that non-MHC immunoregulatory influences can affect the expression of B-cells in the secondary response of inbred mice and outbred rabbits. The results also indicate that most IgG antibody responses are heterogeneous and are characterized by a stable group of dominant clonotypes. Clonal dominance and B-cell memory were found to be established early in an immune response. The expression of B memory clones appeared to be favored over the expression of virgin B cells. The injection of anti-tetanus antibody induced the antigen independent production of anti-tetanus antibody, probably through idiotypic mechanisms. These results demonstrate that both antibody and antigen can affect the expressed B-ceIl repertoire. Thus, idiotypic interactions are capable of influencing the expression of B-cells and these findings support the existence and function of an idiotype network with strong immunoregulatory potential. ^

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Rubella virus (RV) typically causes a mild childhood illness, but complications can result from both viral and immune-mediated pathogenesis. RV can persist in the presence of neutralizing antibodies, suggesting that cell-mediated immune responses may be necessary for viral clearance. However, the molecular determinants recognized by RV-specific T-cells have not been identified. Using recombinant proteins which express the entire RV structural open reading frame in proliferation assays with lymphocytes of RV-immune individuals, domains which elicit major histocompatibility complex class II-restricted helper T-cells were identified. Synthetic peptides representing these domains were used to define specific epitopes. Two immunodominant domains were mapped to the capsid protein sequence C$\sb1$-C$\sb{29}$ and the E1 glycoprotein sequence E1$\sb{202}$-E1$\sb{283}.$ RV-specific MHC class I-restricted cytotoxic T lymphocytes (CTLs) were identified using a chromium-release assay with infected fibroblasts as target cells. An infectious Sindbis virus vector expressing each of the RV structural proteins identified the capsid, E2 and E1 proteins as targets of CTLs. Specific CTL epitopes were mapped within the previously identified immunodominant domains. This study identified domains of the RV structural proteins that may be beneficial for development of a synthetic vaccine, and provides normative data on RV-specific T-cell responses that should enhance our ability to understand RV persistence and associated complications. ^

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Class I major histocompatibility complex (MHC) molecules induce either accelerated rejection or prolonged survival of allografts, presumably because of the presence of immunogenic or tolerogenic epitopes, respectively. To explore the molecular basis of this phenomenon, three chimeric class I molecules were constructed by substituting the rat class I RT1.A$\sp{\rm a}$ sequences with the N-terminus of HLA-A2.1 (N$\sp{\rm HLA-A2.1}$-RT1.A$\sp{\rm a}$), the $\alpha\sb1$ helix (h) with $\rm\alpha\sb{1h}\sp{u}$ sequences ( ($\rm\alpha\sb{1h}\sp{u}$) -RT1.A$\sp{\rm a}$) or the entire $\alpha\sb2$ domain (d) with $\rm\alpha\sb{2d}\sp{u}$ sequences ( ($\rm\alpha\sb{2d}\sp{u}$) -RT1.A$\sp{\rm a}$). Wild type (WT) and chimeric cDNAs were sequenced prior to transfection into Buffalo (BUF; RT1$\sp{\rm b}$) hepatoma cells. Stable transfectants were injected subcutaneously (s.c.) into different hosts 7 days prior to challenge with a heart allograft. In BUF hosts, chimeric ($\rm\alpha\sb{1h}\sp{u}$) -RT1.A$\sp{\rm a}$ accelerated the rejection of Wistar Furth (WF; RT1$\sp{\rm u}$) heart allografts, but had no effect on the survival of ACI (RT1$\sp{\rm a}$) grafts. In contrast, the ($\rm\alpha\sb{2d}\sp{u}$) -RT1.A$\sp{\rm a}$ (containing $\rm\alpha\sb{1d}\sp{a}$ sequences) immunized BUF recipients toward RT1$\sp{\rm a}$ grafts. In WF hosts, WT-RT1.A$\sp{\rm a}$ was a potent immunogen and accelerated ACI graft rejection, N$\sp{\rm HLA-A2.1}$-RT1.A$\sp{\rm a}$ was less effective and ($\rm\alpha\sb{\rm 1h}\sp{u}\rbrack$-RT1.A$\sp{\rm a}$ was not immunogenic. Thus, dominant and subdominant epitopes inducing in vivo sensitization to cardiac allografts are present in the $\alpha\sb1$ helix and the N-terminus, respectively. The failure of ($\rm\alpha\sb{2d}\sp{u}$) -RT1.A$\sp{\rm a}$ transfectants (containing recipient-type $\alpha\sb{\rm 2d}$ sequences) to sensitize WF hosts toward ACI (RT1$\sp{\rm a}$) grafts, despite the presence of donor-type immunogenic $\alpha\sb{\rm 1d}\sp{\rm a}$, suggests that "self-$\alpha\sb2$" sequences displayed on chimeric antigens interfere with immunogenicity. The ($\rm\alpha\sb{1h}\sp{u}$) -RT1.A$\sp{\rm a}$ transfectants injected s.c. prolonged the survival of WF (RT1$\sp{\rm u}$) hearts in ACI (RT1$\sp{\rm a}$) recipients. Furthermore, intra-portal injection of extracts from ($\rm\alpha\sb{1h}\sp{u}$) -RT1.A$\sp{\rm a}$, but not WT-RT1.A$\sp{\rm a}$ or RT1.A$\sp{\rm u}$, in conjunction with a brief cyclosporine course rendered ACI hosts permanently and specifically tolerant to donor-type WF cardiac allografts. Thus, immunodominant allodeterminants are present in the $\alpha\sb1$, but not the $\alpha\sb2$, domain of rat class I MHC molecules. Furthermore, the $\rm\alpha\sb{1h}\sp{u}$ immunogenic epitopes trigger tolerogenic responses when flanked by host-type N-terminal$\sp{\rm a}$ and $\rm\alpha\sb{2d}\sp{a}$ sequences. ^

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Diarrhea is a major cause of morbidity and mortality worldwide. Shigella causes up to 20% of all diarrhea. Gut-level immunity and breast-feeding of infants are important factors in protection against shigellosis. The lumen of the gut is lined with lymphocytes which mediate natural killer cytotoxicity, NKC, and antibody-dependent cellular cytotoxicity, ADCC. NKC and ADCC are extracellular, nonphagocytic leukocyte killing mechanisms, which occur in the absence of complement, without prior antigen stimulation, and without regard to the major histocompatibility complex. In this study, virulent and avirulent shigellae were used as the target cells. Leukocytes from peripheral blood, breast milk, and guinea pig gut-associated tissues were used as effector cells. Adult human peripheral blood mononuclear cells and lymphocytes, but not macrophages or polymorphonuclear leukocytes, mediated NKC and ADCC at an optimal effector to target cell ratio of 100:1 in a 60 minute bactericidal assay. An antiserum dilution of 1:10 was optimal for ADCC. Whole, viable lymphocytes were necessary for cytotoxicity. Lymphocyte NKC, but not ADCC, was greatly enhanced by interferon. Lymphocyte NKC occurred against several virulent strains of S. sonnei and a virulent strain of S. flexneri. ADCC (using immune serum directed against S. sonnei) occurred against virulent S. sonnei, but not against avirulent S. sonnei or virulent S. flexneri. Lymphocyte ADCC was not inhibited by the presence of phenylbutazone or by pretreatment of lymphocytes with anti-HNK serum plus complement. Both adherent and non-adherent breast milk leukocytes mediated NKC and ADCC. Mononuclear cells from young children demonstrated normal ADCC, when compared to ADCC of adult cells. Neonatal cord blood and a CGD patient's peripheral blood mononuclear and ploymorphonuclear cells demonstrated high ADCC compared to adult cells. Intraepithelial lymphocytes, spleen cells, and peritoneal cells from normal guinea pigs demonstrated NKC and ADCC. Animals which had been starved and opiated were made susceptible to infection by Shigella. The susceptible animals demonstrated deficient NKC and ADCC with all three leukocyte populations. High NKC and ADCC activity of gut-associated leukocytes from human breast milk and guinea pig tissues may correlate with resistance to infection. ^

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

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Prostate cancer is the second leading cause of cancer-related death and the most common non-skin cancer in men in the USA. Considerable advancements in the practice of medicine have allowed a significant improvement in the diagnosis and treatment of this disease and, in recent years, both incidence and mortality rates have been slightly declining. However, it is still estimated that 1 man in 6 will be diagnosed with prostate cancer during his lifetime, and 1 man in 35 will die of the disease. In order to identify novel strategies and effective therapeutic approaches in the fight against prostate cancer, it is imperative to improve our understanding of its complex biology since many aspects of prostate cancer initiation and progression still remain elusive. The study of tumor biomarkers, due to their specific altered expression in tumor versus normal tissue, is a valid tool for elucidating key aspects of cancer biology, and may provide important insights into the molecular mechanisms underlining the tumorigenesis process of prostate cancer. PCA3, is considered the most specific prostate cancer biomarker, however its biological role, until now, remained unknown. PCA3 is a long non-coding RNA (ncRNA) expressed from chromosome 9q21 and its study led us to the discovery of a novel human gene, PC-TSGC, transcribed from the opposite strand and in an antisense orientation to PCA3. With the work presented in this thesis, we demonstrate that PCA3 exerts a negative regulatory role over PC-TSGC, and we propose PC-TSGC to be a new tumor suppressor gene that contrasts the transformation of prostate cells by inhibiting Rho-GTPases signaling pathways. Our findings provide a biological role for PCA3 in prostate cancer and suggest a new mechanism of tumor suppressor gene inactivation mediated by non-coding RNA. Also, the characterization of PCA3 and PC-TSGC led us to propose a new molecular pathway involving both genes in the transformation process of the prostate, thus providing a new piece of the jigsaw puzzle representing the complex biology of prostate cancer.

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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.

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A wealth of genetic associations for cardiovascular and metabolic phenotypes in humans has been accumulating over the last decade, in particular a large number of loci derived from recent genome wide association studies (GWAS). True complex disease-associated loci often exert modest effects, so their delineation currently requires integration of diverse phenotypic data from large studies to ensure robust meta-analyses. We have designed a gene-centric 50 K single nucleotide polymorphism (SNP) array to assess potentially relevant loci across a range of cardiovascular, metabolic and inflammatory syndromes. The array utilizes a "cosmopolitan" tagging approach to capture the genetic diversity across approximately 2,000 loci in populations represented in the HapMap and SeattleSNPs projects. The array content is informed by GWAS of vascular and inflammatory disease, expression quantitative trait loci implicated in atherosclerosis, pathway based approaches and comprehensive literature searching. The custom flexibility of the array platform facilitated interrogation of loci at differing stringencies, according to a gene prioritization strategy that allows saturation of high priority loci with a greater density of markers than the existing GWAS tools, particularly in African HapMap samples. We also demonstrate that the IBC array can be used to complement GWAS, increasing coverage in high priority CVD-related loci across all major HapMap populations. DNA from over 200,000 extensively phenotyped individuals will be genotyped with this array with a significant portion of the generated data being released into the academic domain facilitating in silico replication attempts, analyses of rare variants and cross-cohort meta-analyses in diverse populations. These datasets will also facilitate more robust secondary analyses, such as explorations with alternative genetic models, epistasis and gene-environment interactions.

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Artemis, a member of the SNM1 gene family, is one of the six known components of the non-homologous end joining pathway. It is a multifunctional phospho-protein that has been shown to be modified by the phosphatidylinositol 3-kinases (PIKs) DNA-PKcs, ATM and ATR in response to a variety of cellular stresses. Artemis has important roles in V(D)J recombination, DNA double strand breaks repair and damage-induced cell-cycle checkpoint regulation. The detailed mechanism by which Artemis mediates its functions in these cellular pathways needs to be further elucidated. My work presented here demonstrates a new function for Artemis in cell cycle regulation as a component of Cullin-based E3 ligase complex. I show that Artemis interacts with Cul4A-DDB1 ligase complex via a direct interaction with the substrate-specific receptor DDB2, and deletion mapping analysis shows that part of the Snm1 domain of Artemis is responsible for this interaction. Additionally, Artemis also interacts with p27, a substrate of Cul4A-DDB1 complex, and both DDB2 and Artemis are required for the degradation of p27 mediated by this complex. Furthermore, I show that the regulation of p27 by Artemis and DDB2 is critical for cell cycle progression in normally proliferating cells and in response to serum withdrawal. Finally, I provide evidence showing that Artemis may be also a part of other Cullin-based E3 ligase complexes, and it has a role in controlling p27 levels in response to different cellular stress, such as UV irradiation. These findings suggest a novel pathway to regulate p27 protein level and define a new function for Artemis as an effector of Cullin-based E3-ligase mediated ubiquitylation, and thus, a cell cycle regulator in proliferating cells.