6 resultados para Binding capacity

em DigitalCommons@The Texas Medical Center


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The interaction of insulin with bovine aorta endothelial (BAE) cells has been studied to determine the effect of insulin on endothelial cells, and investigate the function of the insulin receptor in this cell type. BAE cell insulin receptor is similiar to insulin receptor in other cell types in the time to attain equilibrium binding, its physical properties in a solubilized assay system and affinity for insulin in the low nanomolar range. However, BAE cell insulin receptor has unusual properties in its interaction with insulin at 4$\sp\circ$C that include: (1) the inability to completely dissociate prebound $\sp{125}$I-insulin by dilution with excess insulin or acid rinse treatment, indicating that binding is not completely reversible (2) the inability to remove prebound insulin with trypsin and other proteases (3) the implication of disulfide complex formation during binding (4) the inability of pretreatment with trypsin to lower cell surface binding capacity and (5) the suppression of insulin binding by bacitracin. Interactions of insulin with the receptor at 37$\sp\circ$C showed that (1) BAE cells degrade insulin, but not as extensively as other cell types, and (2) an unusual biphasic interaction of insulin with the BAE cells is observed which is indicative of some regulatory mechanism which modulates binding affinity. Functional characterization of the BAE cell insulin receptor revealed that insulin-induced downregulation and phosphorylation of the receptor was observed, and the extent of these processes were comparable to that demonstrated in non-endothelial cell types. However, in contrast to other cell types, insulin did not stimulate deoxyglucose uptake in BAE cells. We were unable to confirm the receptor-mediated transport of insulin by the receptor across the endothelial cell monolayer as reported by a previous investigator. We could not demonstrate a role for the receptor to promote acute intracellular accumulation of insulin as postulated by several investigators. Thus, while BAE cell insulin receptor has many properties that are similiar to those in other cell types, it is distinctly different in its nondissociable binding at 4$\sp\circ$C, its interaction with insulin at 37$\sp\circ$C, and its functional role in the BAE cell. ^

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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. ^

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T-cell lymphomas from AKR mice were studied to determine their potential as a model of T-cell differentiation. Homogeneous tumor cell lines have been used as model to study normal lymphocyte subpopulations, including differentiation lineages, functional properties, and the inducibility to maturation. The underlying concept is that each lymphoid tumor represents a monoclonal neoplastic proliferation of a discrete lymphoid subpopulation arrested at a particular differentiation stage.^ Individual tumors were analyzed to determine the extent of intertumor heterogeneity, and to determine whether lymphomas represented different thymocyte subsets, by determining the cell-surface antigenic phenotype, PNA-binding capacity, and terminal deoxynucleotidyl transferase (TdT) activity. Splenic and thymic tumor cells were compared to determine if the particular lymphoid microenvironment influenced T-cell marker expression. Several of the lymphomas were passaged in syngeneic hosts to verify the original tumor phenotype and to assess the stability of the cell surface and TdT phenotype after transplantation.^ Lymphomas were adapted to in vitro culture to determine whether the T-cell phenotype was maintained in the absence of the host microenvironment. Clonal progeny were analyzed and compared with each other and with parent cell lines to determine the extent of intratumor heterogeneity in this lymphoma system. Parent and cloned cell lines were passaged in vivo to determine whether alterations in surface phenotype occurred after transplantation.^ Our investigation has verified that most spontaneous AKR lymphomas phenotypically resemble known T-cell subsets, including both immature and mature thymic subpopulations. The in vitro lines, however, expressed a highly unstable phenotype in culture that included loss of Ly-1 and Ly-2 antigen expression. After transplantation in vivo, the in vitro lines exhibited alterations in phenotype, including re-expression of Ly antigen on some lymphomas. The inducibility of T-cell antigen markers on tumor cell lines passaged in vivo suggests that the in vitro lines may serve as a possible model system to study the molecular events involved in gene expression in the T-cell system. ^

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Path analysis has been applied to components of the iron metabolic system with the intent of suggesting an integrated procedure for better evaluating iron nutritional status at the community level. The primary variables of interest in this study were (1) iron stores, (2) total iron-binding capacity, (3) serum ferritin, (4) serum iron, (5) transferrin saturation, and (6) hemoglobin concentration. Correlation coefficients for relationships among these variables were obtained from published literature and postulated in a series of models using measures of those variables that are feasible to include in a community nutritional survey. Models were built upon known information about the metabolism of iron and were limited by what had been reported in the literature in terms of correlation coefficients or quantitative relationships. Data were pooled from various studies and correlations of the same bivariate relationships were averaged after z- transformations. Correlation matrices were then constructed by transforming the average values back into correlation coefficients. The results of path analysis in this study indicate that hemoglobin is not a good indicator of early iron deficiency. It does not account for variance in iron stores. On the other hand, 91% of the variance in iron stores is explained by serum ferritin and total iron-binding capacity. In addition, the magnitude of the path coefficient (.78) of the serum ferritin-iron stores relationship signifies that serum ferritin is the most important predictor of iron stores in the proposed model. Finally, drawing upon known relations among variables and the amount of variance explained in path models, it is suggested that the following blood measures should be made in assessing community iron deficiency: (1) serum ferritin, (2) total iron-binding capacity, (3) serum iron, (4) transferrin saturation, and (5) hemoglobin concentration. These measures (with acceptable ranges and cut-off points) could make possible the complete evaluation of all three stages of iron deficiency in those persons surveyed at the community level. ^

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A colony of rabbits has been developed at the University of Texas Medical School at Houston that is resistant to dietary-induced hypercholesterolemia. The liver of resistant rabbits had higher levels of ($\sp{125}$I) $\beta$-VLDL binding and 3-hydroxy-3-methylglutaryl (HMGCoA) reductase activity, but lower acyl coenzyme A:cholesterol acyltransferase (ACAT) activity than normal rabbits. Direct quantitation of intracellular cholesterol content of the liver revealed that the resistant rabbits had $<$10% of the intracellular free cholesterol present in normal rabbits. Fibroblasts isolated from normal and resistant rabbits exhibited differences in ($\sp{125}$I) LDL binding, HMGCoA reductase activity and ACAT activity that were similar to those found in the liver. No structural differences were found in the LDL receptor of normal and resistant fibroblasts that would account for the increased binding capacity of the resistant cells. The regulation of LDL receptor levels by exogenous oxygenated sterols was similar in normal and resistant fibroblasts. The regulation of LDL receptor binding capacity by LDL was attenuated in the resistant compared to normal fibroblasts, suggesting that the resistant fibroblasts have an alternate pathway for processing lipoprotein-derived cholesterol. Sterol-balance studies revealed that the cholesterol-fed resistant rabbits increased lithocholic acid excretion compared to the basal state, and had higher levels of deoxycholic acid excretion than cholesterol-fed normal rabbits. In addition, the specific activity and mRNA levels of cholesterol 7$\alpha$-hydroxylase (C7$\alpha$H) were higher in resistant rabbits than normal rabbits, suggesting that the increased bile acid excretion was due to an increase in bile acid synthesis. Increased clearance of cholesterol relieves the negative feedback inhibition cholesterol exerts on expression of the LDL receptor. The number of cell surface LDL receptors is then increased in resistant rabbits and allows rapid clearance of lipoproteins from the plasma compartment, thereby reducing plasma cholesterol levels. The low intracellular cholesterol level also relieves the negative feedback inhibition cholesterol exerts on HMGCoA reductase. Increased synthesis of cholesterol from acetate provides cells with cholesterol for bile acid synthesis and/or homeostasis. The activity of ACAT is then decreased due to the flux of cholesterol through the bile acid synthetic pathways. ^

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Establishment of a myogenic phenotype involves antagonism between cell proliferation and differentiation. The recent identification of the MyoD family of muscle-specific transcription factors provides opportunities to dissect at the molecular level the mechanisms through which defined cell type-specific transcription factors respond to environmental cues and regulate differentiation programs. This project is aimed at elucidation of the molecular mechanism whereby growth factors repress myogenesis. Initial studies demonstrated that nuclear oncogenes such as c-fos, junB and c-jun are immediate early genes that respond to serum and TGF-$\beta$. Using the muscle creatine kinase (MCK) enhancer linked to the reporter gene CAT as a marker for differentiation, we showed that transcriptional function of myogenin can be disrupted in the presence of c-Fos, JunB and cjun. In contrast, JunD, which shares DNA-binding specificity with JunB and c-Jun but is expressed constitutively in muscle cells, failed to show the inhibition. The repression by Fos and Jun is targeted at KE-2 motif, the same sequence that mediates myogenin-dependent activation and muscle-specific transactivation. Deletion analysis indicated that the transactivation domain of c-Jun at the N-terminus is responsible for the repression. Considering that myogenin is a phosphoprotein and cAMP and TPA are able to regulate myogenesis, we examined whether constitutively active protein kinase C (PKC) and protein kinase A (PKA) could substitute for exogenous growth factors and prevent transcription activation by myogenin. Indeed, the basic region of myogenin is phosphorylated by PKC at a threonine that is conserved in all members of the MyoD family. Phosphorylation at this site attenuates DNA binding activity of myogenin. Protein kinase A can also phosphorylate myogenin in a region adjacent to the DNA binding domain. However, phosphorylation at this site is insufficient to abrogate myogenin's DNA binding capacity, suggesting that PKA and PKC may affect myogenin transcriptional activity through different mechanisms. These findings provide insight into the mechanisms through which growth factor signals negatively regulate the muscle differentiation program and contribute to an understanding of signal transducing pathways between the cell membrane and nucleus. ^