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Lovastatin (LOV), a hydroxy-methylglutaryl-coenzyme A (HMGCoA) reductase competitive inhibitor, blocks epidermal growth factor (EGF)— or prostaglandin F (PGF)—induced mitogenesis in confluent resting Swiss 3T3 cells. This inhibition occurs even in the presence of insulin, which potentiates the action of these mitogens in such cells. LOV exerts its effect in a 2–80 μM concentration range, with both mitogens attaining 50% inhibition at 7.5 μM. LOV exerted its effect within 0–8 h following mitogenic induction. Mevanolactone (10–80 μM) in the presence of LOV could reverse LOV inhibition within a similar time period. LOV-induced blockage of PGF response is reflected in a decrease in the rate of cell entry into S phase. Neither cholesterol, ubiquinone, nor dolichols of various lengths could revert LOV blockage. In EGF- or PGF-stimulated cells, LOV did not inhibit [3H]leucine or [3H]mannose incorporation into proteins, while tunicamycin, an inhibitor of N′ glycosylation, prevented this last phenomenon. Thus, it appears that LOV exerts its action neither by inhibiting unspecific protein synthesis nor by impairing the N′ glycosylation process. These findings strongly suggest that either EGF or PGF stimulations generate early cell cycle signals which induce mevalonate formation, N′ glycoprotein synthesis, and proliferation. The causal relationship of these events to various mechanisms controlling the onset of DNA synthesis is also discussed. © 1995 Wiley-Liss, Inc.  相似文献   
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The need for broadening a crop’s genetic base may be determined by comparing allele frequencies within the gene pools of farmer selections in their centers of diversity with that of modern breeding populations. The genetic structure of Andean and Chilean potato farmer selections was investigated with the aid of nine isozymes, which have been studied in detail and used to characterize North American cultivars and advanced breeding lines. These isozymes are associated with the most-important agronomic or quality characters in the North American gene pool. By comparing these data with previous analyses of the North American gene pool, allozyme frequency changes for nine loci were monitored. Allozyme frequency changes were not always due to genetic drift, but resulted also from directional selection of isozyme marker linked quantitative trait loci (QTLs) affecting agronomic or quality characters. Changes in allozyme frequency can also occur as a consequence of pleiotropy, i.e. the isozyme itself may be involved in the expression of a phenotype. These allozyme frequency changes may reflect the manipulation of the potato genome by breeders. There were allozymes in some North American cultivars that were not observed in the farmer selections from the Andes and Chile. This confirms that breeders have already introgressed exotic genes from wild and other primitive cultivated tuber-bearing Solanum species. On this basis, the need for broadening the genetic base for specific chromosomes (or chromosome regions) should be based on analysis with these and other genetic markers available in potato. Received: 20 November 2000 / Accepted: 27 December 2000  相似文献   
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The thioredoxin (Trx) and thioredoxin reductase (TR) of Mycobacterium tuberculosis have been expressed in Escherichia coli and shown to reduce peroxides and dinitrobenzenes. The reduction of H2O2 requires both Trx and TR and is more efficient under anaerobic than aerobic conditions. In contrast, cumene hydroperoxide is reduced to cumyl alcohol and acetophenone in a process that requires NADPH and TR but not Trx. Cumene hydroperoxide reduction is partially inhibited by chelation of trace metals in the medium. The reduction of cumene hydroperoxide by TR is more effective under anaerobic than aerobic conditions due to a competing oxidase reaction in which electrons are transferred from TR to O2. Under anaerobic conditions, dinitrobenzenes also serve as electron acceptors and are reduced by TR to nitroanilines, but the enzyme does not reduce mononitrobenzenes or mononitroimidazoles such as metronidazole. The reductive activity of the Trx-TR system may modify the antioxidant defenses of M. tuberculosis.  相似文献   
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For many marine species, locations of key foraging areas are not well defined. We used satellite telemetry and switching state‐space modeling (SSM) to identify distinct foraging areas used by Kemp's ridley turtles (Lepidochelys kempii) tagged after nesting during 1998–2011 at Padre Island National Seashore, Texas, USA (PAIS;= 22), and Rancho Nuevo, Tamaulipas, Mexico (RN;= 9). Overall, turtles traveled a mean distance of 793.1 km (±347.8 SD) to foraging sites, where 24 of 31 turtles showed foraging area fidelity (FAF) over time (= 22 in USA,= 2 in Mexico). Multiple turtles foraged along their migratory route, prior to arrival at their “final” foraging sites. We identified new foraging “hotspots” where adult female Kemp's ridley turtles spent 44% of their time during tracking (i.e., 2641/6009 tracking days in foraging mode). Nearshore Gulf of Mexico waters served as foraging habitat for all turtles tracked in this study; final foraging sites were located in water <68 m deep and a mean distance of 33.2 km (±25.3 SD) from the nearest mainland coast. Distance to release site, distance to mainland shore, annual mean sea surface temperature, bathymetry, and net primary production were significant predictors of sites where turtles spent large numbers of days in foraging mode. Spatial similarity of particular foraging sites selected by different turtles over the 13‐year tracking period indicates that these areas represent critical foraging habitat, particularly in waters off Louisiana. Furthermore, the wide distribution of foraging sites indicates that a foraging corridor exists for Kemp's ridleys in the Gulf. Our results highlight the need for further study of environmental and bathymetric components of foraging sites and prey resources contained therein, as well as international cooperation to protect essential at‐sea foraging habitats for this imperiled species.  相似文献   
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In this paper we investigate by means of immunohistochemistry, the tissue distribution of constitutive cytochrome P4501A (CYP1A), from hatching until 30 days posthatching in developing Siberian sturgeon, Acipenser baeri. For this purpose, a polyclonal (BN-1) antiserum developed against a conservative sequence of piscine CYP1A and a monoclonal (C10-7) antiserum directed against cod CYP1A were used on paraffin-embedded samples. From hatching onwards, distinct CYP1A immunoreactivity was distinctly observed in the following tissues and cells: envelope of oil droplets, matrix and syncytium of the yolk-sac, sinusoids, biliary epithelial cells and hepatocytes. In the digestive tract, buccopharyngeal, oesophageal, gastric and intestinal epithelia, as well as the cytoplasm and brush border of enterocytes were CYP1A-positive. Interestingly, gastric glands and melanin-plug present within lumen of the digestive system were strongly immunoreactive. Kidney (epithelia of renal tubules), gills (pillar and endothelial cells), skin (epithelial cells), muscle fibres of heart and eye (retina) were positive. In brain, we observed a strong CYP1A staining in the developing telencephalon and especially in olfactory system, as well as in those nerve fibres running ventrally toward the posterior brain. A strong CYP1A staining was observed in vascular endothelia of all organs/tissues, especially in the liver. In general, the intensity of CYP1A immunostaining increased during larval development, suggesting besides its known metabolic function (endogenous and/or exogenous), a possible participation of this heme-protein in control of cell division, regulation of growth and differentiation.  相似文献   
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Biomarkers which can identify Diffuse Large B-Cell Lymphoma (DLBCL) likely to be refractory to first-line therapy are essential for selecting this population prior to therapy initiation to offer alternate therapeutic options that can improve prognosis. We tested the ability of a CT-based radiomics approach with machine learning to predict Primary Treatment Failure (PTF)-DLBCL from initial imaging evaluation. Twenty-six refractory patients were matched to 26 non-refractory patients, yielding 180 lymph nodes for analysis. Manual 3D delineation of the total node volume was performed by two independent readers to test the reproducibility. Then, 1218 hand-crafted radiomic features were extracted. The Random Forests machine learning approach was used as a classifier for constructing the prediction models. Seventy percent of the nodes were randomly assigned to a training set and the remaining 30% were assigned to an independent test set. The final model was tested on the dataset from the 2 readers, showing a mean accuracy, sensitivity and specificity of 73%, 62% and 82%, respectively, for distinguishing between refractory and non-refractory patients. The area under the receiver operating characteristic curve (AUC) was 0.83 and 0.79 for the two readers. We conclude that machine learning CT-based radiomics analysis is able to identify a priori PTF-DLBCL with a good accuracy.  相似文献   
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