11 resultados para differential analysis

em DigitalCommons@The Texas Medical Center


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Analyses of rat T1 kininogen gene/chloramphenicol acetyltransferase (T1K/CAT) constructs revealed two regions important for tissue-specific and induced regulation of T1 kininogen.^ Although the T1 kininogen gene is inducible by inflammatory cytokines, a highly homologous K kininogen gene is minimally responsive. Moreover, the basal expression of a KK/CAT construct was 5- to 7-fold higher than that of the analogous T1K/CAT construct. To examine the molecular basis of this differential regulation, a series of promoter swapping experiments was carried out. Our transfection results showed that at least two regions in the K kininogen gene are important for its high basal expression: a distal 19-bp region (C box) constituted a binding site for CCAAT/enhancer binding protein (C/EBP) family proteins and a proximal 66-bp region contained two adjacent binding sites for hepatocyte nuclear factor-3 (HNF-3). The distal HNF-3 binding site from the K kininogen promoter demonstrated a stronger affinity than that from the T1 kininogen promoter. Since C/EBP and HNF-3 are highly enriched in the liver and known to enhance transcription of liver-specific genes, differential binding affinities of these factors accounted for the higher basal expression of the K kininogen gene.^ In contrast to the K kininogen C box, the T1 kininogen C box does not bind C/EBP presumably due to their two-nucleotide divergence. This sequence divergence, however, converts it to a consensus binding sequence for two IL-6-inducible transcription factors--IL-6 response element binding protein and acute-phase response factor. To functionally determine whether C box sequences are important for their differential acute-phase response, T1 and K kininogen C boxes were swapped and analyzed after transfection into Hep3B cells. Our results showed that the T1 kininogen C box is indeed one of the IL-6 response elements in T1 kininogen promoter. Furthermore, its function can be modulated by a 5$\sp\prime$-adjacent C/EBP-binding site (B box) whose mutation significantly reduced the overall induced activity. Moreover, this B box is the target site for binding and transactivation of another IL-6 inducible transcription factor C/EBP$\delta.$ Evolutionary divergence of a few critical nucleotides can either lead to subtle changes in the binding affinities of a given transcription factor or convert a binding sequence for a constitutive factor to a site recognized by an inducible factor. (Abstract shortened by UMI.) ^

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Loss of chromosome 10 represents the most common cytogenetic abnormality in high grade gliomas (glioblastoma multiforme). To identify genes involved in the malignant progression of human gliomas, a subtractive hybridization was performed between a tumorigenic glioblastoma cell line (LG11) and a nontumorgenic hybrid cell (LG11.3) containing an introduced chromosome 10. LG11 mRNA was subtracted from LG11.3 cDNA to produce cDNA probes enriched for sequences whose expression differs quantitatively from the parental tumorigenic cells. Both known and novel sequences were identified as a result of the subtraction. Northern blot analysis was then used to confirm differential expression of several subtracted clones. One novel clone, clone 17, identified a 2.6 kb message that showed a consistent two to four fold increase in expression in the LG11.3 nontumorigenic cells. Clone 17 (340 bp) was used successfully to screen for a near full-length version, RIG (regulated in glioma), which was 2,569 bp in size. The RIG cDNA sequence showed homology to clone 17 and to an anonymous EST (IB666), but to no previously identified genes. This screening effort also identified several independent clones representing novel sequences, most of which failed to show increased expression in the nontumorigenic GBM cells. Tissue distribution studies of RIG indicated highest levels of expression in human brain with appreciably lower levels in heart and lung. In vitro transcription and translation experiments demonstrated the ability of RIG to direct the synthesis of a 13 kD protein product. However, open reading frame analysis revealed no identify with previously described motifs or any known proteins. Using a combination of somatic cell hybrid panels and in situ hybridization, the RIG gene was mapped to chromosome 11p14-11p15. Further study of RIG and related gene products may provide insight into the negative regulation of glial oncogenesis. ^

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Diseases are believed to arise from dysregulation of biological systems (pathways) perturbed by environmental triggers. Biological systems as a whole are not just the sum of their components, rather ever-changing, complex and dynamic systems over time in response to internal and external perturbation. In the past, biologists have mainly focused on studying either functions of isolated genes or steady-states of small biological pathways. However, it is systems dynamics that play an essential role in giving rise to cellular function/dysfunction which cause diseases, such as growth, differentiation, division and apoptosis. Biological phenomena of the entire organism are not only determined by steady-state characteristics of the biological systems, but also by intrinsic dynamic properties of biological systems, including stability, transient-response, and controllability, which determine how the systems maintain their functions and performance under a broad range of random internal and external perturbations. As a proof of principle, we examine signal transduction pathways and genetic regulatory pathways as biological systems. We employ widely used state-space equations in systems science to model biological systems, and use expectation-maximization (EM) algorithms and Kalman filter to estimate the parameters in the models. We apply the developed state-space models to human fibroblasts obtained from the autoimmune fibrosing disease, scleroderma, and then perform dynamic analysis of partial TGF-beta pathway in both normal and scleroderma fibroblasts stimulated by silica. We find that TGF-beta pathway under perturbation of silica shows significant differences in dynamic properties between normal and scleroderma fibroblasts. Our findings may open a new avenue in exploring the functions of cells and mechanism operative in disease development.

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Diseases are believed to arise from dysregulation of biological systems (pathways) perturbed by environmental triggers. Biological systems as a whole are not just the sum of their components, rather ever-changing, complex and dynamic systems over time in response to internal and external perturbation. In the past, biologists have mainly focused on studying either functions of isolated genes or steady-states of small biological pathways. However, it is systems dynamics that play an essential role in giving rise to cellular function/dysfunction which cause diseases, such as growth, differentiation, division and apoptosis. Biological phenomena of the entire organism are not only determined by steady-state characteristics of the biological systems, but also by intrinsic dynamic properties of biological systems, including stability, transient-response, and controllability, which determine how the systems maintain their functions and performance under a broad range of random internal and external perturbations. As a proof of principle, we examine signal transduction pathways and genetic regulatory pathways as biological systems. We employ widely used state-space equations in systems science to model biological systems, and use expectation-maximization (EM) algorithms and Kalman filter to estimate the parameters in the models. We apply the developed state-space models to human fibroblasts obtained from the autoimmune fibrosing disease, scleroderma, and then perform dynamic analysis of partial TGF-beta pathway in both normal and scleroderma fibroblasts stimulated by silica. We find that TGF-beta pathway under perturbation of silica shows significant differences in dynamic properties between normal and scleroderma fibroblasts. Our findings may open a new avenue in exploring the functions of cells and mechanism operative in disease development.

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An affinity-purified monospecific antibody was prepared to study the differential expression of the peroxisomal enzyme urate oxidase in rat liver during development and in various metabolic states. Monospecific antibody for urate oxidase was affinity purified from a pool of antibodies initially produced against a mixture of proteins from a Percoll density gradient fraction. Immunogold staining of samples of the gradient fraction and rat liver tissue with the affinity-purified antibody demonstrated labelling of peroxisomal core structures. Screening of liver homogenates from rats at different developmental stages using immunoblot analysis demonstrated low levels of urate oxidase prior to 20 days of age; at 20 days of age, urate oxidase levels are 2-fold greater than the 15-day old levels and approximate adult levels. Catalase expression during rat development mimicked the differential expression pattern of urate oxidase. The increase between days 15 and 20 was determined to be independent of the process of weaning. Administration of exogenous glucocorticoid hormone to 10-day old rats resulted in a precocious rise (2.5-fold) in urate oxidase levels, but adrenalectomy at 10 days of age did not cause decreased expression in the fourth week of life. In adult animals, exogenous glucocorticoid did not influence urate oxidase levels, but adrenalectomized rats had urate oxidase levels that were 40 percent of control expression 4 days post-surgery. Catalase expression was not influenced by glucocorticoid status in these studies. Glucocorticoid regulation of urate oxidase expression appears to be one part of a more complex mechanism controlling levels of the enzyme. Exogenous glucocorticoid administration influenced urate oxidase levels in an age-dependent manner; in addition, it is possible that the control mechanism for urate oxidase may include factors which can modulate expression in the absence of glucocorticoids. The effect of glucocorticoids on urate oxidase expression can not be extended to include all peroxisomal proteins, since catalase is unaffected. Glucocorticoids appear to participate in the complex regulation of urate oxidase expression; glucocorticoids influence urate oxidase specifically and do not modulate all peroxisomal proteins. ^

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$\beta$1,4-Galactosyltransferase (GalTase) is unusual among the glycosyltransferases in that it is found in two subcellular compartments where it performs different functions. In the trans-Golgi complex, GalTase participates in oligosaccharide biosynthesis as do other glycosyltransferases. GalTase is also found on the cell surface, where it associates with the cytoskeleton and functions as a receptor for extracellular oligosaccharide ligands. Although we know much regarding GalTase function on the cell surface, little is known about the mechanisms underlying its transport to the plasma membrane. Cloning of the GalTase gene revealed that there are two GalTase proteins (i.e., long and short) with different size cytoplasmic tails. This raises the possibility that differences in the cytoplasmic domain of GalTase may influence its subcellular distribution. The object of this study was to examine this hypothesis directly through the use of molecular, immunological, and biochemical approaches.^ To examine whether the two GalTase proteins are targeted to different subcellular compartments, F9 embryonal carcinoma cells were transfected with either long or short GalTase cDNAs and intracellular and cell surface enzyme levels measured. Cell surface GalTase activity was enriched in cells overexpressing the long, but not the form of short GalTase. Furthermore, a dominant negative mutation in cell surface GalTase was created by transfecting cells with GalTase cDNAs encoding a truncated version of long GalTase devoid of the extracellular catalytic domain. Overexpressing the complete cytoplasmic and transmembrane domains of long GalTase led to a loss of GalTase-dependent cellular adhesion by specifically displacing surface GalTase from its cytoskeletal associations. In contrast, overexpressing the analogous truncated protein of short GalTase had no effect on cell adhesion. Finally, chloramphenicol acetyltransferase (CAT) reporter proteins were used to determine directly whether the cytoplasmic domains of long and short GalTase were responsible for differential subcellular distribution. The cytoplasmic and transmembrane domains of long GalTase led to CAT expression on the ceil surface and its association with the detergent-insoluble cytoskeleton; the analogous fusion protein containing short GalTase was restricted to the Golgi compartment. These results suggest that the cytoplasmic domain unique to long GalTase is responsible for targeting a portion of this protein to the cell surface and associating it with the cytoskeleton, enabling it to function as a cell adhesion molecule. ^

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Tumor necrosis factor (TNF) is known to have antiproliferative effects on a wide variety of tumor cells but proliferative effects on normal cells. However, the molecular basis for such differences in the action of TNF are unknown. The overall objectives of my research are to investigate the role of oncogenes in TNF sensitivity and delineate some of the molecular mechanisms involved in TNF sensitivity and resistance. To accomplish these objectives, I transfected TNF-resistant C3H mouse embryo fibroblasts (10T1/2) with an activated Ha-ras oncogene and determined whether these cells exhibit altered sensitivity to TNF. The results indicated that 10T1/2 cells transfected with an activated Ha-ras oncogene (10T-EJ) not only produced tumors in nude mice but also exhibited extreme sensitivity to cytolysis by TNF. In contrast, 10T1/2 cells transfected with the pSV2-neo gene alone were resistant to the cytotoxic effects of TNF. I also found that TNF-induced cell death was mediated through apoptosis. The differential sensitivity of 10T1/2 and 10T-EJ cell lines to TNF was not due to differences in the number of TNF receptors on their cell surface. In addition, TNF-resistant revertants isolated from Ha-ras-transformed, TNF-sensitive cells still expressed the same amount of p21 as TNF-sensitive cells and were still tumorigenic, suggesting that Ha-ras-induced transformation and TNF sensitivity may follow different pathways. Interestingly, TNF-resistant but not sensitive cells expressed higher levels of bcl-2, c-myc, and manganese superoxide dismutase (MnSOD) mRNA following exposure to TNF. However, TNF treatment resulted in a marginal induction of p53 mRNA in both TNF-sensitive and resistant cells. Based on these results I can conclude that (i) Ha-ras oncogene induces both transformation and TNF sensitivity, (ii) TNF-induced cytotoxicity involves apoptosis, and (iii) TNF-induced upregulation of bcl-2, c-myc, and MnSOD genes is associated with TNF resistance in C3H mouse embryo fibroblasts. ^

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There have been multiple reports which indicate that variations in $\beta$AR expression affect the V$\sb{\rm max}$ observed for the agonist-dependent activation of adenylylcyclase. This observation has been ignored by most researchers when V$\sb{\rm max}$ values obtained for wild type and mutant receptors are compared. Such an imprecise analysis may lead to erroneous conclusions concerning the ability of a receptor to activate adenylylcyclase. Equations were derived from the Cassel-Selinger model of GTPase activity and Tolkovsky and Levitzki's Collision Coupling model which predict that the EC$\sb{50}$ and V$\sb{\rm max}$ for the activation of adenylylcyclase are a function of receptor number. Experimental results for L cell clones in which either hamster or human $\beta$AR were transfected at varying levels showed that EC$\sb{50}$ decreases and V$\sb{\rm max}$ increases as receptor number increases. Comparison of these results with simulations obtained from the equations describing EC$\sb{50}$ and V$\sb{\rm max}$ showed a close correlation. This documents that the kinetic parameters of adenylylcyclase activation change with the level of receptor expression and relates this phenomenon to a theoretical framework concerning the mechanisms involved in $\beta$AR signal transduction.^ One of the terms used in the equations which expressed the EC$\sb{50}$ and V$\sb{\rm max}$ as a function of receptor number is coupling efficiency, defined as $\rm k\sb1/k\sb{-1}$. Calculation of $\rm k\sb1/k\sb{-1}$ can be accomplished for wild type receptors with the easily measured experimental values of agonist K$\sb{\rm d}$, EC$\sb{50}$ and receptor number. This was demonstrated for hamster $\beta$AR which yielded a coupling efficiency of 0.15 $\pm$ 0.003 and human $\beta$AR which yielded a coupling efficiency of 0.90 $\pm$ 0.031. $\rm k\sb1/k\sb{-1}$ replaces the traditional qualitative evaluation of the ability to activate adenylylcyclase, which utilizes V$\sb{\rm max}$ without correction for variation in receptor number, with a quantitative definition that more accurately describes the ability of $\beta$AR to couple to G$\sb{\rm s}$.^ The equations which express the EC$\sb{50}$ and V$\sb{\rm max}$ for adenylylcyclase activation as a function of receptor number and coupling efficiency were tested to determine whether they could accurately simulate the changes seen in these parameters during desensitization. Data from original desensitization experiments and data from the literature (24,25,52,54,83) were compared to simulated changes in EC$\sb{50}$ and V$\sb{\rm max}$. In a variety of systems the predictions of the equations were consistent with the changes observed in EC$\sb{50}$ and V$\sb{\rm max}$. In addition reductions in the calculated value of $\rm k\sb1/k\sb{-1}$ was shown to correlate well with $\beta$AR phosphorylation and to be minimally affected by sequestration and down-regulation. ^

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The Wilms' tumor gene, WT1, encodes a zinc finger transcription factor which functions as a tumor suppressor. Defects in the WT1 gene can result in the development of nephroblastoma. WT1 is expressed during development, primarily in the metanephric kidney, the mesothelial lining of the abdomen and thorax, and the developing gonads. WT1 expression is tightly regulated and is essential for renal development. The WT1 gene encodes a protein with a proline-rich N-terminus which functions as a transcriptional repressor and C-terminus contains 4 zinc fingers that mediate DNA binding. WT1 represses transcription from a number of growth factors and growth factor receptors. WT1 mRNA undergoes alternative splicing at two sites, resulting in 4 mRNA species and polypeptide products. Exon 5, encoding 17 amino acids is alternatively spliced, and is located between the transcriptional repression domain and the DNA binding domain. The second alternative splice is the terminal 9 nucleotides of zinc finger 3, encoding the tripeptide Lys-Thr-Ser (KTS). The presence or absence of KTS within the zinc fingers of WT1 alters DNA binding.^ I have investigated transcriptional regulation of WT1, characterizing two means of repressing WT1 transcription. I have cloned a transcriptional silencer of the WT1 promoter which is located in the third intron of the WT1 gene. The silencer is 460 bp in length and contains an Alu repeat. The silencer functions in cells of non-renal origin.^ I have found that WT1 protein can autoregulate the WT1 promoter. Using the autoregulation of the WT1 promoter as a functional assay, I have defined differential consensus DNA binding motifs of WT1 isoforms lacking and containing the KTS tripeptide insertion. With these refined consensus DNA binding motifs, I have identified two additional targets of WT1 transcriptional repression, the proto-oncogenes bcl-2 and c-myc.^ I have investigated the ability of the alternatively spliced exon 5 to influence cell growth. In cell proliferation assays, isoforms of WT1 lacking exon 5 repress cell growth. WT1 isoforms containing exon 5 fail to repress cell growth to the same extent, but alter the morphology of the cells. These experiments demonstrate that the alternative splice isoforms of WT1 have differential effects on the function of WT1. These findings suggest a role for the alternative splicing of WT1 in metanephric development. ^

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The association between Social Support, Health Status, and Health Services Utilization of the elderly, was explored based on the analysis of data from the Supplement on Aging to the National Health Interview Survey, 1984 (N = 11,497) using a modified framework of Aday and Andersen's Expanded Behavioral Model. The results suggested that Social Support as operationalized in this study was an independent determinant of the use of health services. The quantity of social activities and the use of community services were the two most consistent determinants across different types of health services use.^ The effects of social support on the use of health services were broken down into three components to facilitate explanations of the mechanisms through which social support operated. The Predisposing and Enabling component of Social Support had independent, although not uniform, effects on the use of health services. Only slight substitute effects of social support were detected. These included the substitution of the use of senior centers for longer stay in the hospital and the substitution of help with IADL problems for the use of formal home care services.^ The effect of financial support on the use of health services was found to be different for middle and low income populations. This differential effect was also found for the presence of intimate networks, the frequencies of interaction with children and the perceived availability of support among urban/rural, male/female and white/non-white subgroups.^ The study also suggested that the selection of appropriate Health Status measures should be based on the type of Health Services Utilization in which a researcher is interested. The level of physical function limitation and role activity limitation were the two most consistent predictors of the volume of physician visits, number of hospital days, and average length of stay in the hospital during the past year.^ Some alternative hypotheses were also raised and evaluated, when possible. The impacts of the complex sample design, the reliability and validity of the measures and other limitations of this analysis were also discussed. Finally, a revised framework was proposed and discussed based on the analysis. Some policy implications and suggestions for future study were also presented. ^

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Pitx2, a paired-related homeobox gene that is mutated in human Rieger Syndrome, plays a key role in transferring the early asymmetric signals to individual organs. Pitx2 encodes three isoforms, Pitx2a, Pitx2b and Pitx2c. I found that Pitx2c was the Pitx2 isoform for regulating left-right asymmetry in heart, lung and the predominant isoform in guts. Previous studies suggested that the generation of left-right asymmetry within individual organs is an all or none, random event. Phenotypic analysis of various Pitx2 allelic combinations, that encode graded levels of Pitx2c, reveals an organ-intrinsic mechanism for regulating left-right asymmetric morphogenesis based on differential response to Pitx2c levels. The heart needs low Pitx2c levels, while the lungs and duodenum require higher doses of Pitx2c. In addition, the duodenal rotation is under strict control of Pitx2c activity. Left-right asymmetry development for aortic arch arteries involves complex vascular remodeling. Left-sided expression of Pitx2c in these developing vessels implied its potential function in this process. In order to determine if Pitx2c also can regulate the left-right asymmetry of the aortic arch arteries, a Pitx2c-specific loss of function mutation is generated. Although in wild type mice, the direction of the aortic arch is always oriented toward the left side, the directions of the aortic arches in the mutants were randomized, showing that Pitx2c also determined the left-right asymmetry of these vessels. I have further showed that the cardiac neural crest wasn't involved in this vascular remodeling process. In addition, all mutant embryos had Double Outlet Right Ventricle (DORV), a common congenital heart disease. This study provided insight into the mechanism of Pitx2c-mediated late stages of left-right asymmetry development and identified the roles of Pitx2c in regulation of aortic arch remodeling and heart development. ^